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Amazon claims its data centers are 7x more water-efficient than the industry average

“Amazon is on the leading edge, but it’s not a secret recipe,” he said. What sets the company apart is scale, execution, facility design, geographic mix, and its aggressive pursuit of energy goals. Others are doing the similar things, if through different avenues: Microsoft is investing in closed-loop cooling systems that dramatically reduce evaporative water loss. Google is heavily focused on reclaimed water and using AI to optimize data centers. Meta has long relied on outside-air cooling. And overall, the industry is moving toward liquid cooling for dense AI deployments, “which changes the water equation again,” said Kimball. One of the big variables is location: Climate influences water efficiency, so where a company builds its infrastructure is as important as its cooling methods. Further, power-consumptive AI changes the discussion, he emphasized; traditional enterprise workloads and dense AI training clusters create very different thermal profiles.

Read More »

IBM, ServiceNow team to bring AI to legacy enterprise systems

Decades of deeply interconnected legacy systems are the biggest barrier to moving fast on AI, the companies stated. Their pairings will take advantage of Big Blue’s expertise in working with large systems, such as its mainframe environment, and extensive legacy applications, along with ServiceNow’s workflow and agent management platforms. “Most enterprises have the ambition to deploy agentic AI, but lack the foundation to run it at scale,” said John Aisien, senior vice president and general manager, central product management, security and risk, at ServiceNow. “IBM brings the tooling to modernize the systems and extend ServiceNow’s data capabilities. ServiceNow provides the platform to put that data to work across every workflow in the business.” The vendors will focus on three core services that will be available in the second half of 2026: Application modernization: Scans and refactors legacy systems using tools like IBM Bob, Enterprise Application runtime (Java) and IBM watsonx.data to help enterprises bring existing applications into the AI era without starting from scratch. Autonomous infrastructure operations: Integrates Red Hat Ansible, IBM Bob, Instana, Hashicorp Terraform, and Hashicorp Vault into ServiceNow IT workflows to detect, remediate, and resolve issues before they affect the business. Data governance: Extends ServiceNow Workflow Data Fabric with IBM watsonx.data to unlock key capabilities like Data Quality, Observability, Master Data Management – employing the ServiceNow Data Catalog so that mutual customers can keep track of their AI-ready data. IBM and ServiceNow have a long-standing relationship, having worked together to help large enterprise customers implement everything from cloud computing, automation, and security to IT service management and observability technologies. 

Read More »

Marvell announces 102.4 Tbps switch silicon built for AI

Data movement has become an important concern in modern AI data centers. In the past, a cluster of a few servers could adequately handle back-office applications and databases. But with AI’s gigantic models, all sections of the data center need to move and receive data at high speeds. That requires a lot more power use than in the past. GPU- and XPU-based systems are approaching 120KW per rack, and switching and networking components consume approximately 15-25% of total rack power, making low-power switch silicon a strategic requirement. The Teralynx T100 delivers up to 25% lower power consumption than competitive solutions at a higher data rate. This enables AI infrastructures to deploy more accelerators within existing power envelopes without requiring additional power infrastructure. “As AI workloads evolve and scale exponentially, hyperscalers require network architectures that optimize latency, power and scalability simultaneously,” said Rishi Chugh, vice president and general manager of the data center switch business unit at Marvell, in a statement.

Read More »

The Download: soccer’s data renaissance and China’s big nuclear plans

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Inside soccer’s data renaissance Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the logic of surrendering possession seconds into a game. If you were Jesse Davis, though, you’d know that this play could be a prime setup to score. Davis is a professor of computer science at KU Leuven in Belgium and head of its Sports Analytics Lab, which has been at the vanguard of a data awakening in soccer. Using AI and data analytics, his team has uncovered hidden tactical patterns and challenged long-held assumptions about how the game should be played. Many of the insights hitting soccer pitches today trace back to the lab’s work.
Read the full story on how computer scientists are changing the world’s most popular sport. —Andrew Zaleski
This story is from the next edition of our magazine. Subscribe now to get a copy when it lands!  Why China is betting on big nuclear reactors In China, large reactors are coming together at a stunning pace. The country has nearly doubled its nuclear fleet since 2016, reaching nearly 60 gigawatts of total power capacity. Construction started on six new reactors in 2025, and two more have begun in 2026. It’s incredibly difficult to build the massive projects that dominate the nuclear industry today. Up-front investment can run well into the billions, and designs are complex. Yet China is moving ahead rapidly. By 2030, the country is on course to overtake both the US and the EU in installed nuclear capacity. Find out why bigger might be better when it comes to nuclear power. —Casey Crownhart This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign upto receive it in your inbox every Wednesday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Autonomous drones may have killed soldiers for the first timeA drone-maker said Russian troops were killed in a test. (New Scientist $)+ The US has used a sea drone to rescue a helicopter’s crew. (NYT $)+ Europe has a drone-filled vision for war. (MIT Technology Review) 2 Solar power has finally surpassed coal in US electricity generationIt’s the leading source of new power. (Guardian)+ Meanwhile, Trump is increasing coal investments. (BBC)+ The US is in a power struggle over coal. (MIT Technology Review) 3 Russia’s FSB has taken control of the country’s internetThe KGB successor now determines access. (Financial Times $)+ Rage over the restrictions is boiling over. (NYT $) 4 OpenAI says China is fomenting dissent over AI on ChatGPTIt claims to have foundinfluence operations on the bot. (Reuters $)+ The propaganda also targeted data centers and tariffs. (Politico $) 5 SpaceX’s listing price is expected to be revealed todayIt could lead to the biggest IPO ever. (NPR)+ And turn 4,400 employees into millionaires. (NYT $) 6 EPA scientists say they’re pushed to downplay risks of household productsThey’re under pressure to alter reviews of chemicals in products. (CNN) 7 Anthropic has walked back a policy that “sabotaged” researchIt would have limited Claude’s ability to develop competing AI models. (Wired $) 8 Congress wants in on the data center backlashMembers are jumping on the fervor with new policy plans. (Axios)+ Should we be moving data centers to space? (MIT Technology Review)
9 Your search results are getting sloptimizedCompanies are gaming the chatbot internet. (Atlantic $) 10 Scientists have discovered that humans prefer to walk anticlockwiseIt’s a discovery that could improve crowd and evacuation management. (Guardian)
Quote of the day “We’re the extracted and exploited colony of what is going to be one of the most highly valued entities in the world. People are going to die because of this pollution.”  —Justin Pearson, who represents portions of Memphis in the Tennessee House of Representatives, tells Wired why his constituents are angry about the SpaceX IPO. One More Thing Space is all yours—for a hefty price Space tourism is now officially a thing. But does it represent a future in which the average person could book a celestial flight and bask in the splendor of Earth from above? Or is this just another way for the ultrawealthy to flash their cash while simultaneously ignoring and exacerbating our existential problems down on the ground?  For now, such flights remain ridiculously far beyond the financial reach of most people. They also pose risks to both the passengers and the planet. But proponents of private spaceflight argue that it provides great opportunities for science and a sense of transcendence. Dive into the space tourism debate.
—Margaret O’Mara We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + A rare antelope species was rediscovered in a remote Kenyan forest.+ This ingenious camping trailer pops up into a fully heated off-road bathroom.+ Iconic internet memes are now safely preserved in the British Film Institute’s moving image archive.+ NASA’s experimental aircraft has successfully broken the sound barrier in a big win for supersonic flight.

Read More »

Google DeepMind is worried about what happens when millions of agents start to interact

EXECUTIVE SUMMARY Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates a whole new class of risk. In an effort to address this, Google DeepMind—which made agent-based tools a centerpiece of Google I/O last month—has teamed up with several other organizations to announce a $10 million funding pot for researchers to study the behavior of multi-agent systems and come up with ways to prevent unsafe scenarios. Joining Google DeepMind are Schmidt Sciences, a philanthropic foundation set up by Eric and Wendy Schmidt; ARIA, the UK government’s moonshot agency; the Cooperative AI foundation, a UK-based nonprofit research outfit; and Google’s charitable arm, Google.org. I asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million. It’s no small sum, but it’s dwarfed by the budgets commanded by Google DeepMind’s own research teams.
The aim is to kick-start research outside tech companies, says Shah: “The strength of academia is that it can look really quite far into the future and do the kind of work that isn’t top of mind at industry labs.” “The main issue is that there just isn’t really a field of research for multi-agent safety yet,” he adds. “And we would like there to be.”
The concern is that as more and more AI agents get deployed and begin working together, we could hit a tipping point where imagined scenarios become real. “We see this with humanity, too,” says Shah. “Our institutions can accomplish things that no individual human can.” Shah thinks we have a few more months to go before agents are deployed throughout the economy in numbers that make potential risks a real concern. He wants to get ahead of that moment. Risky business What risks are we talking about, exactly? The possibilities that Shah and Fox have in mind mostly boil down to supercharged versions of bad things that happen on the internet already: scams, prompt injections (where an AI agent is fed malicious instructions, turning it into a self-guiding piece of malware), other forms of cyberattack. We look at what humans do now and ask what the agent version of that would be, says Shah.   “We’ve got this digital commons that is integral to how society works, and you really want to ensure that this doesn’t descend into just absolute anarchy,” says Fox. (I asked Shah if they were considering any worst-case scenarios more on the doomer end of the spectrum, such as widespread economic collapse. “Certainly not if we’re talking by the end of the year,” he said. That’s only six months away! He laughed. “Okay, a while after that.”) Shah and Fox both think that the only way to understand what might happen when large numbers of multi-agent systems interact with each other is to run realistic simulations. They want researchers to drop AI agents into sandboxes and study what they do. You can’t predict what’s going to happen by studying single agents, or even small groups of agents, in isolation. You can’t assume that AI agents underpinned by LLMs will always act rationally, says Fox. And the complexity comes from having huge numbers of interactions at once. Some researchers, including a team at Google DeepMind, have argued that artificial general intelligence (if possible at all) could come not from a single super-smart model but from a kind of agent hive mind, where the capabilities of the whole add up to more than the sum of its parts.  

Lack of trust Google DeepMind is not the only top AI firm warning about the risks of the technology it is building. A couple of weeks ago, Anthropic published guidelines for deploying AI agents based on an approach to cybersecurity known as zero trust, which starts with the assumption that a computer system is vulnerable, an agent is an attacker, and a breach will happen. Refael Angel, cofounder and CTO of Akeyless, a cybersecurity firm based in Tel Aviv, agrees that understanding the new risks introduced by agent-based systems is crucial.   Every approach to security in the past has assumed that the machine in question was software written by a human, doing fixed things on fixed paths, says Angel: “An agent breaks all of those assumptions. It reasons, it improvises, and it can be hijacked by a single sentence buried in a document it was asked to read.” Angel welcomes this new funding. “No single lab should author the safety standards everyone else has to trust,” he says. But he cautions that safety researchers can overlook boring problems that are already here in favor of more exotic hypothetical ones. And yet, Fox notes, risks that were hypothetical a few years ago are now very real: “The future’s come more quickly than perhaps expected.”

Read More »

Investing in multi-agent AI safety research

Scaling AI Safety Research for a Multi-Agent WorldFor the past decade, we’ve focused on making individual AI models more capable, helpful and safe. Today, Google DeepMind — together with Schmidt Sciences, the Cooperative AI Foundation, the Advanced Research and Invention Agency, and supported by Google.org — is announcing a new technical research funding call of up to $10M for researchers worldwide.As AI technology scales, we’re entering a new era. Soon, millions of AI agents — built by different organizations — will interact across digital environments, communicating, negotiating and transacting with one another.When these systems interact, they must do so safely and predictably. This shift creates a vital opportunity: we can strengthen the safety and stability of the entire AI ecosystem from the very beginning.The funding call focuses on the study of how large-scale multi-agent AI systems behave as a group, and how we can provide frameworks to understand and mitigate against potential risks. By empowering researchers globally, we aim to solve the “invisible” safety risks that arise when independent systems interact across different networks.Why the agent ecosystem mattersWhen large groups of AI agents interact, new collective behaviors and capabilities can emerge suddenly. Currently, we lack the tools to predict, measure and monitor these transitions. Most safety evaluations analyze models in isolation. However, as we and others have previously argued, interacting autonomous agents can produce complex, “emergent” behaviors that are difficult to anticipate.Because this is a new area of research, it is critical to understand how these shifts occur. For example, could they cause an unpredictable flurry of economic activity or lead to new security challenges? Understanding how to manage these system-wide behaviors is our core objective.Scaling the frontier of multi-agent safety researchAlthough foundational frameworks for multi-agent safety exist, the rapid evolution of these systems requires an immediate, large-scale expansion of research.Our 2025 research established a framework for understanding these interactions, while our recent work on AI Agent Traps explores vulnerabilities agents face in adversarial environments. Now, we must move faster. We are at a critical juncture where the complexity of multi-agent interactions is outpacing existing safety models.This funding call aims to accelerate progress by supporting a global network of independent researchers. A diverse community is essential to ensure safety standards are transparent and robust for everyone.This effort also advances the mission of Schmidt Sciences’ Science of Trustworthy AI and AI Agents programs, which support foundational work on understanding and mitigating risks from frontier AI systems, as well as ARIA’s Scaling Trust programme, which seeks to unlock new forms of cyber-physical multi-agent coordination.A collaborative call to actionNo single lab can solve multi-agent safety alone. We invite academic and independent researchers to submit proposals in four priority areas:Sandboxes and testbeds: Building realistic, reproducible environments to evaluate, compare and accelerate progress across all areas of multi-agent safety. This includes virtual marketplaces, simulated ecosystems and multi-organisation workflows.The science of agent networks: Understanding the safety-relevant properties of interacting agent populations, including investigating how collective capabilities emerge and scale, how networks fail or become volatile and how to detect dangerous, unexpected population-level properties.Strengthening agent infrastructure: Stress-testing the protocols for identity, reputation and commitment that are secure cross-platform agent interactions.Oversight and control: Developing methods to monitor deployed agent populations and mitigate collective harms at scale.How to participateWe invite researchers to review our call for proposals and join us in building a safe foundation for a multi-agent future.The deadline to apply is August 8, 2026, with awardees expected to be announced in Autumn 2026.For more details on technical requirements and the application process, visit our application portal.

Read More »

Amazon claims its data centers are 7x more water-efficient than the industry average

“Amazon is on the leading edge, but it’s not a secret recipe,” he said. What sets the company apart is scale, execution, facility design, geographic mix, and its aggressive pursuit of energy goals. Others are doing the similar things, if through different avenues: Microsoft is investing in closed-loop cooling systems that dramatically reduce evaporative water loss. Google is heavily focused on reclaimed water and using AI to optimize data centers. Meta has long relied on outside-air cooling. And overall, the industry is moving toward liquid cooling for dense AI deployments, “which changes the water equation again,” said Kimball. One of the big variables is location: Climate influences water efficiency, so where a company builds its infrastructure is as important as its cooling methods. Further, power-consumptive AI changes the discussion, he emphasized; traditional enterprise workloads and dense AI training clusters create very different thermal profiles.

Read More »

IBM, ServiceNow team to bring AI to legacy enterprise systems

Decades of deeply interconnected legacy systems are the biggest barrier to moving fast on AI, the companies stated. Their pairings will take advantage of Big Blue’s expertise in working with large systems, such as its mainframe environment, and extensive legacy applications, along with ServiceNow’s workflow and agent management platforms. “Most enterprises have the ambition to deploy agentic AI, but lack the foundation to run it at scale,” said John Aisien, senior vice president and general manager, central product management, security and risk, at ServiceNow. “IBM brings the tooling to modernize the systems and extend ServiceNow’s data capabilities. ServiceNow provides the platform to put that data to work across every workflow in the business.” The vendors will focus on three core services that will be available in the second half of 2026: Application modernization: Scans and refactors legacy systems using tools like IBM Bob, Enterprise Application runtime (Java) and IBM watsonx.data to help enterprises bring existing applications into the AI era without starting from scratch. Autonomous infrastructure operations: Integrates Red Hat Ansible, IBM Bob, Instana, Hashicorp Terraform, and Hashicorp Vault into ServiceNow IT workflows to detect, remediate, and resolve issues before they affect the business. Data governance: Extends ServiceNow Workflow Data Fabric with IBM watsonx.data to unlock key capabilities like Data Quality, Observability, Master Data Management – employing the ServiceNow Data Catalog so that mutual customers can keep track of their AI-ready data. IBM and ServiceNow have a long-standing relationship, having worked together to help large enterprise customers implement everything from cloud computing, automation, and security to IT service management and observability technologies. 

Read More »

Marvell announces 102.4 Tbps switch silicon built for AI

Data movement has become an important concern in modern AI data centers. In the past, a cluster of a few servers could adequately handle back-office applications and databases. But with AI’s gigantic models, all sections of the data center need to move and receive data at high speeds. That requires a lot more power use than in the past. GPU- and XPU-based systems are approaching 120KW per rack, and switching and networking components consume approximately 15-25% of total rack power, making low-power switch silicon a strategic requirement. The Teralynx T100 delivers up to 25% lower power consumption than competitive solutions at a higher data rate. This enables AI infrastructures to deploy more accelerators within existing power envelopes without requiring additional power infrastructure. “As AI workloads evolve and scale exponentially, hyperscalers require network architectures that optimize latency, power and scalability simultaneously,” said Rishi Chugh, vice president and general manager of the data center switch business unit at Marvell, in a statement.

Read More »

The Download: soccer’s data renaissance and China’s big nuclear plans

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Inside soccer’s data renaissance Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the logic of surrendering possession seconds into a game. If you were Jesse Davis, though, you’d know that this play could be a prime setup to score. Davis is a professor of computer science at KU Leuven in Belgium and head of its Sports Analytics Lab, which has been at the vanguard of a data awakening in soccer. Using AI and data analytics, his team has uncovered hidden tactical patterns and challenged long-held assumptions about how the game should be played. Many of the insights hitting soccer pitches today trace back to the lab’s work.
Read the full story on how computer scientists are changing the world’s most popular sport. —Andrew Zaleski
This story is from the next edition of our magazine. Subscribe now to get a copy when it lands!  Why China is betting on big nuclear reactors In China, large reactors are coming together at a stunning pace. The country has nearly doubled its nuclear fleet since 2016, reaching nearly 60 gigawatts of total power capacity. Construction started on six new reactors in 2025, and two more have begun in 2026. It’s incredibly difficult to build the massive projects that dominate the nuclear industry today. Up-front investment can run well into the billions, and designs are complex. Yet China is moving ahead rapidly. By 2030, the country is on course to overtake both the US and the EU in installed nuclear capacity. Find out why bigger might be better when it comes to nuclear power. —Casey Crownhart This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign upto receive it in your inbox every Wednesday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Autonomous drones may have killed soldiers for the first timeA drone-maker said Russian troops were killed in a test. (New Scientist $)+ The US has used a sea drone to rescue a helicopter’s crew. (NYT $)+ Europe has a drone-filled vision for war. (MIT Technology Review) 2 Solar power has finally surpassed coal in US electricity generationIt’s the leading source of new power. (Guardian)+ Meanwhile, Trump is increasing coal investments. (BBC)+ The US is in a power struggle over coal. (MIT Technology Review) 3 Russia’s FSB has taken control of the country’s internetThe KGB successor now determines access. (Financial Times $)+ Rage over the restrictions is boiling over. (NYT $) 4 OpenAI says China is fomenting dissent over AI on ChatGPTIt claims to have foundinfluence operations on the bot. (Reuters $)+ The propaganda also targeted data centers and tariffs. (Politico $) 5 SpaceX’s listing price is expected to be revealed todayIt could lead to the biggest IPO ever. (NPR)+ And turn 4,400 employees into millionaires. (NYT $) 6 EPA scientists say they’re pushed to downplay risks of household productsThey’re under pressure to alter reviews of chemicals in products. (CNN) 7 Anthropic has walked back a policy that “sabotaged” researchIt would have limited Claude’s ability to develop competing AI models. (Wired $) 8 Congress wants in on the data center backlashMembers are jumping on the fervor with new policy plans. (Axios)+ Should we be moving data centers to space? (MIT Technology Review)
9 Your search results are getting sloptimizedCompanies are gaming the chatbot internet. (Atlantic $) 10 Scientists have discovered that humans prefer to walk anticlockwiseIt’s a discovery that could improve crowd and evacuation management. (Guardian)
Quote of the day “We’re the extracted and exploited colony of what is going to be one of the most highly valued entities in the world. People are going to die because of this pollution.”  —Justin Pearson, who represents portions of Memphis in the Tennessee House of Representatives, tells Wired why his constituents are angry about the SpaceX IPO. One More Thing Space is all yours—for a hefty price Space tourism is now officially a thing. But does it represent a future in which the average person could book a celestial flight and bask in the splendor of Earth from above? Or is this just another way for the ultrawealthy to flash their cash while simultaneously ignoring and exacerbating our existential problems down on the ground?  For now, such flights remain ridiculously far beyond the financial reach of most people. They also pose risks to both the passengers and the planet. But proponents of private spaceflight argue that it provides great opportunities for science and a sense of transcendence. Dive into the space tourism debate.
—Margaret O’Mara We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + A rare antelope species was rediscovered in a remote Kenyan forest.+ This ingenious camping trailer pops up into a fully heated off-road bathroom.+ Iconic internet memes are now safely preserved in the British Film Institute’s moving image archive.+ NASA’s experimental aircraft has successfully broken the sound barrier in a big win for supersonic flight.

Read More »

Google DeepMind is worried about what happens when millions of agents start to interact

EXECUTIVE SUMMARY Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates a whole new class of risk. In an effort to address this, Google DeepMind—which made agent-based tools a centerpiece of Google I/O last month—has teamed up with several other organizations to announce a $10 million funding pot for researchers to study the behavior of multi-agent systems and come up with ways to prevent unsafe scenarios. Joining Google DeepMind are Schmidt Sciences, a philanthropic foundation set up by Eric and Wendy Schmidt; ARIA, the UK government’s moonshot agency; the Cooperative AI foundation, a UK-based nonprofit research outfit; and Google’s charitable arm, Google.org. I asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million. It’s no small sum, but it’s dwarfed by the budgets commanded by Google DeepMind’s own research teams.
The aim is to kick-start research outside tech companies, says Shah: “The strength of academia is that it can look really quite far into the future and do the kind of work that isn’t top of mind at industry labs.” “The main issue is that there just isn’t really a field of research for multi-agent safety yet,” he adds. “And we would like there to be.”
The concern is that as more and more AI agents get deployed and begin working together, we could hit a tipping point where imagined scenarios become real. “We see this with humanity, too,” says Shah. “Our institutions can accomplish things that no individual human can.” Shah thinks we have a few more months to go before agents are deployed throughout the economy in numbers that make potential risks a real concern. He wants to get ahead of that moment. Risky business What risks are we talking about, exactly? The possibilities that Shah and Fox have in mind mostly boil down to supercharged versions of bad things that happen on the internet already: scams, prompt injections (where an AI agent is fed malicious instructions, turning it into a self-guiding piece of malware), other forms of cyberattack. We look at what humans do now and ask what the agent version of that would be, says Shah.   “We’ve got this digital commons that is integral to how society works, and you really want to ensure that this doesn’t descend into just absolute anarchy,” says Fox. (I asked Shah if they were considering any worst-case scenarios more on the doomer end of the spectrum, such as widespread economic collapse. “Certainly not if we’re talking by the end of the year,” he said. That’s only six months away! He laughed. “Okay, a while after that.”) Shah and Fox both think that the only way to understand what might happen when large numbers of multi-agent systems interact with each other is to run realistic simulations. They want researchers to drop AI agents into sandboxes and study what they do. You can’t predict what’s going to happen by studying single agents, or even small groups of agents, in isolation. You can’t assume that AI agents underpinned by LLMs will always act rationally, says Fox. And the complexity comes from having huge numbers of interactions at once. Some researchers, including a team at Google DeepMind, have argued that artificial general intelligence (if possible at all) could come not from a single super-smart model but from a kind of agent hive mind, where the capabilities of the whole add up to more than the sum of its parts.  

Lack of trust Google DeepMind is not the only top AI firm warning about the risks of the technology it is building. A couple of weeks ago, Anthropic published guidelines for deploying AI agents based on an approach to cybersecurity known as zero trust, which starts with the assumption that a computer system is vulnerable, an agent is an attacker, and a breach will happen. Refael Angel, cofounder and CTO of Akeyless, a cybersecurity firm based in Tel Aviv, agrees that understanding the new risks introduced by agent-based systems is crucial.   Every approach to security in the past has assumed that the machine in question was software written by a human, doing fixed things on fixed paths, says Angel: “An agent breaks all of those assumptions. It reasons, it improvises, and it can be hijacked by a single sentence buried in a document it was asked to read.” Angel welcomes this new funding. “No single lab should author the safety standards everyone else has to trust,” he says. But he cautions that safety researchers can overlook boring problems that are already here in favor of more exotic hypothetical ones. And yet, Fox notes, risks that were hypothetical a few years ago are now very real: “The future’s come more quickly than perhaps expected.”

Read More »

Investing in multi-agent AI safety research

Scaling AI Safety Research for a Multi-Agent WorldFor the past decade, we’ve focused on making individual AI models more capable, helpful and safe. Today, Google DeepMind — together with Schmidt Sciences, the Cooperative AI Foundation, the Advanced Research and Invention Agency, and supported by Google.org — is announcing a new technical research funding call of up to $10M for researchers worldwide.As AI technology scales, we’re entering a new era. Soon, millions of AI agents — built by different organizations — will interact across digital environments, communicating, negotiating and transacting with one another.When these systems interact, they must do so safely and predictably. This shift creates a vital opportunity: we can strengthen the safety and stability of the entire AI ecosystem from the very beginning.The funding call focuses on the study of how large-scale multi-agent AI systems behave as a group, and how we can provide frameworks to understand and mitigate against potential risks. By empowering researchers globally, we aim to solve the “invisible” safety risks that arise when independent systems interact across different networks.Why the agent ecosystem mattersWhen large groups of AI agents interact, new collective behaviors and capabilities can emerge suddenly. Currently, we lack the tools to predict, measure and monitor these transitions. Most safety evaluations analyze models in isolation. However, as we and others have previously argued, interacting autonomous agents can produce complex, “emergent” behaviors that are difficult to anticipate.Because this is a new area of research, it is critical to understand how these shifts occur. For example, could they cause an unpredictable flurry of economic activity or lead to new security challenges? Understanding how to manage these system-wide behaviors is our core objective.Scaling the frontier of multi-agent safety researchAlthough foundational frameworks for multi-agent safety exist, the rapid evolution of these systems requires an immediate, large-scale expansion of research.Our 2025 research established a framework for understanding these interactions, while our recent work on AI Agent Traps explores vulnerabilities agents face in adversarial environments. Now, we must move faster. We are at a critical juncture where the complexity of multi-agent interactions is outpacing existing safety models.This funding call aims to accelerate progress by supporting a global network of independent researchers. A diverse community is essential to ensure safety standards are transparent and robust for everyone.This effort also advances the mission of Schmidt Sciences’ Science of Trustworthy AI and AI Agents programs, which support foundational work on understanding and mitigating risks from frontier AI systems, as well as ARIA’s Scaling Trust programme, which seeks to unlock new forms of cyber-physical multi-agent coordination.A collaborative call to actionNo single lab can solve multi-agent safety alone. We invite academic and independent researchers to submit proposals in four priority areas:Sandboxes and testbeds: Building realistic, reproducible environments to evaluate, compare and accelerate progress across all areas of multi-agent safety. This includes virtual marketplaces, simulated ecosystems and multi-organisation workflows.The science of agent networks: Understanding the safety-relevant properties of interacting agent populations, including investigating how collective capabilities emerge and scale, how networks fail or become volatile and how to detect dangerous, unexpected population-level properties.Strengthening agent infrastructure: Stress-testing the protocols for identity, reputation and commitment that are secure cross-platform agent interactions.Oversight and control: Developing methods to monitor deployed agent populations and mitigate collective harms at scale.How to participateWe invite researchers to review our call for proposals and join us in building a safe foundation for a multi-agent future.The deadline to apply is August 8, 2026, with awardees expected to be announced in Autumn 2026.For more details on technical requirements and the application process, visit our application portal.

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Fitch: Market will again be oversupplied in fourth quarter if Strait of Hormuz opens by end-July

Such a jump in production, the analysts wrote, will push down the price of Brent crude to about $70/bbl from the range of $100-110 expected for this month and next. In early-afternoon trading June 8, Brent was trading around $94.10, up about 1% on the day. That June-July price forecast from Fitch, which acknowledged the high level of uncertainty around the end of hostilities and their effect on production and markets, is substantially lower than the range forecast late last month by senior executives of ExxonMobil Corp. and Chevron Corp. Speaking at a conference hosted by research and brokerage firm Bernstein, both Neil Chapman of ExxonMobil and Mike Wirth of Chevron forecast mid-summer prices of $150 or higher as a result of inventories being depleted in the next few weeks. “Over the next few weeks, we’re likely to see those pressures flow through more directly to physical prices,” Wirth said then. “There [will be] more upward pressure that I would expect as we get into June and certainly into July.” The price action on June 8 reflected air attacks by both Iran and Israel during the night before but also statements by both parties since then about ceasing strikes. In overnight trading, oil prices had risen as much as 5%.

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Oil majors opt out of federal ANWR lease sale that raises $3.7 million on 5 tracts

Oil majors opted out of the US Bureau of Land Management (BLM)’s June 5 lease sale offering tracts in Alaska’s Arctic National Wildlife Refuge (ANWR)’s coastal plain, resulting in a tepid showing with 5 leases sold, generating $3.7 million. Despite keen interest and competitive bidding—by majors and independents—at another recent BLM sale in Alaska, only two companies participated in the most recent auction. The Alaska Industrial Development and Export Authority, a state corporation with existing ANWR leases, won 3 tracts, and Hex Energy LLC, which produces natural gas in Cook Inlet but not on the North Slope, won 2, BLM announced. The tracts cover about 72,000 acres, about 10% of the 690,000 acres offered during the sale. Moves to open oil and gas exploration in ANWR’s 1.56-million-acre coastal plain, also known as the 1002 area, have faced legal challenges and political controversy for decades. BLM’s recent sales results reflect that uncertainty, with a January 2025 congressionally mandated sale—held in the waning days of the Biden administration—receiving no bids, and a January 2021 sale garnering no interests from majors and generating $14 million in bids. While the US Geological Survey estimates that ANWR’s coastal plain could contain 4.25-11.8 billion bbl of recoverable oil, litigation over ANWR leasing remains active and fierce. A broad coalition of conservation groups and Indigenous organizations filed a lawsuit against the federal government in 2020, and updated it in January 2026, alleging the government violated environmental, endangered species, and other laws by leasing the lands. The Alaska state government has engaged in its own legal battles to advance drilling rights against restrictions in the Biden and Obama administrations.

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Raízen to shed Argentinian refinery, related downstream assets

Global independent energy and commodities firm Mercuria Energy Group Ltd. has entered a binding agreement to acquire 100% of Raízen SA subsidiary Raízen Energia SA’s downstream and related operations in Argentina, including Raízen Argentina SAU’s 108,000-b/d refinery at Dock Sud in Avellaneda County, Buenos Aires Province. Alongside the Dock Sud refinery, the deal also will involve transfer of fuel distribution and other unidentified associated infrastructure assets—as well as assumption of Raízen Argentina’s debt—to Mercuria-owned Latam Downstream Holdings Ltd. and Silver Projects I SAU, Raízen told investors on June 4. Estimated at an overall value of $1.42 billion, the deal will consist of a cash payment to be made on closing of the transaction, subject to usual adjustments, including variations in working capital and net debt, regulatory and judicial approvals, and other undisclosed adjustments contracted for between the parties, according to Raízen. Raízen said the proposed divestment of the Argentinian downstream assets aligns with the company’s strategy of optimizing its business portfolio, simplifying its operational structure, and implementing disciplined capital allocation that focuses on priority markets and geographies. Net proceeds from the sale will be used to manage Raízen capital structure, the operator said. Mercuria’s planned acquisition of the downstream assets comes as part of the firm’s long-term commitment of strategic investment across global energy markets, as well as its belief in Argentina’s importance as an energy market with strong long-term fundamentals and opportunities for operational growth and investment, the company said in a separate release. “Mercuria has the financial strength, operational capability, and long-term perspective to support and grow this business,” said Brian Falik, Mercuria’s global chief investment officer. Upon closing of the deal, Falik said Mercuria is “committed to ensuring continuity for employees, customers, suppliers, and partners, while investing responsibly in the future development of the platform.” Mercuria said

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EIA: US crude oil inventories down 8 million bbl

US crude oil inventories for the week ended May 29, excluding the Strategic Petroleum Reserve, decreased by 8.0 million bbl from the previous week, according to data from the US Energy Information Administration (EIA). At 433.7 million bbl, US crude oil inventories are about 3% below the 5-year average for this time of year, the EIA report indicated. EIA said total motor gasoline inventories increased by 3.4 million bbl from last week and are about 5% below the 5-year average for this time of year. Finished gasoline inventories and blending components inventories both increased last week. Distillate fuel inventories increased by 1.5 million bbl and are about 3% below the 5-year average for this time of year. Propane-propylene inventories increased by 2.1 million bbl from last week and are 39% above the 5-year average for this time of year, EIA said. US crude oil refinery inputs averaged 16.9 million b/d for the week ended May 29, about 90,000 b/d less than the previous week’s average. Refineries operated at 94.7% of capacity. Gasoline production decreased, averaging 9.4 million b/d. Distillate fuel production increased, averaging 5.2 million b/d. US crude oil imports averaged 6.4 million b/d, up by 1.2 million b/d from the previous week. Over the last 4 weeks, crude oil imports averaged 5.9 million b/d, 4.5% less than the same 4-week period last year. Total motor gasoline imports averaged 780,000 b/d. Distillate fuel imports averaged 121,000 b/d.

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Continued Hormuz disruptions strengthen North America’s LNG position

  The disruption has contributed to an estimated global oil supply deficit of 8-10 million b/d, or roughly 9% of worldwide demand, according to Andrew O’Conor, senior vice-president of energy and natural resources ratings. To offset lost production, both commercial and strategic inventories have been drawn down. Morningstar DBRS cited estimates showing global crude inventories have fallen 3-5% since the conflict began, while refined-product inventories are down 8-10%, reducing the market’s buffer against further disruptions. Although Saudi Arabia and the UAE can bypass Hormuz for some crude exports through pipeline systems, no comparable alternative exists for LNG exports from the Gulf. North American gas North American gas markets remain relatively well supplied, with US storage about 7% above the 5-year average and Canadian storage about 4% above average. Strong production from the Permian basin, Montney, and Duvernay plays continues to support supply and weigh on regional prices. Meanwhile, European and Asian LNG benchmarks have risen about 50% since the conflict began. However, US and Canadian LNG export plants are operating near capacity, limiting their ability to immediately capture higher international prices. Morningstar DBRS said the conflict has reinforced concerns about supply concentration and maritime chokepoints, prompting buyers to place greater value on supply reliability and geopolitical stability. Canada’s LNG sector offers shorter shipping routes to Asia from British Columbia and avoids both the Strait of Hormuz and Panama Canal. The US retains advantages through its large gas resource base, extensive pipeline network, and expanding liquefaction capacity. Together, those factors could further solidify North America’s role as a preferred LNG supplier in an increasingly security-focused market, Morningstar DBRS said.

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Murphy Exploration lets subsea contract for Gulf of Mexico development

Murphy Exploration & Production Co. has let a contract to Subsea 7 SA for the String Music development in the US Gulf of Mexico. The project includes engineering, procurement, construction, and offshore installation of a production flowline and related subsea infrastructure tied back to the Delta House development in Mississippi Canyon 431, in water depths of up to 1,850 m. Project management and engineering activities will begin immediately at Subsea7’s office in Houston, Tex., with offshore operations scheduled for 2027. Subsea7 values the contract at $50-150 million. First-quarter Gulf of Mexico opportunities  As part of its first-quarter 2026 earnings presentation, Murphy detailed additional Gulf of Mexico plans, noting a priority for infrastructure-led exploration.  In the quarter, the company sanctioned development of the Banjo and Cello discoveries, targeting first oil in fourth-quarter 2027. Cello #1 and Banjo #1 delivered 30 ft and 50 ft of net pay, respectively, and are also expected to be developed as subsea tiebacks to Delta House. Also in the quarter, Murphy noted it secured 14 exploration blocks in the Gulf of Mexico from the December 2025 federal lease sale.   Overall, the company expects to allocate 26% of its $1.25-billion 2026 capital expenditure plan on Gulf of Mexico activities. 

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West of Orkney developers helped support 24 charities last year

The developers of the 2GW West of Orkney wind farm paid out a total of £18,000 to 24 organisations from its small donations fund in 2024. The money went to projects across Caithness, Sutherland and Orkney, including a mental health initiative in Thurso and a scheme by Dunnet Community Forest to improve the quality of meadows through the use of traditional scythes. Established in 2022, the fund offers up to £1,000 per project towards programmes in the far north. In addition to the small donations fund, the West of Orkney developers intend to follow other wind farms by establishing a community benefit fund once the project is operational. West of Orkney wind farm project director Stuart McAuley said: “Our donations programme is just one small way in which we can support some of the many valuable initiatives in Caithness, Sutherland and Orkney. “In every case we have been immensely impressed by the passion and professionalism each organisation brings, whether their focus is on sport, the arts, social care, education or the environment, and we hope the funds we provide help them achieve their goals.” In addition to the local donations scheme, the wind farm developers have helped fund a £1 million research and development programme led by EMEC in Orkney and a £1.2m education initiative led by UHI. It also provided £50,000 to support the FutureSkills apprenticeship programme in Caithness, with funds going to employment and training costs to help tackle skill shortages in the North of Scotland. The West of Orkney wind farm is being developed by Corio Generation, TotalEnergies and Renewable Infrastructure Development Group (RIDG). The project is among the leaders of the ScotWind cohort, having been the first to submit its offshore consent documents in late 2023. In addition, the project’s onshore plans were approved by the

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Biden bans US offshore oil and gas drilling ahead of Trump’s return

US President Joe Biden has announced a ban on offshore oil and gas drilling across vast swathes of the country’s coastal waters. The decision comes just weeks before his successor Donald Trump, who has vowed to increase US fossil fuel production, takes office. The drilling ban will affect 625 million acres of federal waters across America’s eastern and western coasts, the eastern Gulf of Mexico and Alaska’s Northern Bering Sea. The decision does not affect the western Gulf of Mexico, where much of American offshore oil and gas production occurs and is set to continue. In a statement, President Biden said he is taking action to protect the regions “from oil and natural gas drilling and the harm it can cause”. “My decision reflects what coastal communities, businesses, and beachgoers have known for a long time: that drilling off these coasts could cause irreversible damage to places we hold dear and is unnecessary to meet our nation’s energy needs,” Biden said. “It is not worth the risks. “As the climate crisis continues to threaten communities across the country and we are transitioning to a clean energy economy, now is the time to protect these coasts for our children and grandchildren.” Offshore drilling ban The White House said Biden used his authority under the 1953 Outer Continental Shelf Lands Act, which allows presidents to withdraw areas from mineral leasing and drilling. However, the law does not give a president the right to unilaterally reverse a drilling ban without congressional approval. This means that Trump, who pledged to “unleash” US fossil fuel production during his re-election campaign, could find it difficult to overturn the ban after taking office. Sunset shot of the Shell Olympus platform in the foreground and the Shell Mars platform in the background in the Gulf of Mexico Trump

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The Download: our 10 Breakthrough Technologies for 2025

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: MIT Technology Review’s 10 Breakthrough Technologies for 2025 Each year, we spend months researching and discussing which technologies will make the cut for our 10 Breakthrough Technologies list. We try to highlight a mix of items that reflect innovations happening in various fields. We look at consumer technologies, large industrial­-scale projects, biomedical advances, changes in computing, climate solutions, the latest in AI, and more.We’ve been publishing this list every year since 2001 and, frankly, have a great track record of flagging things that are poised to hit a tipping point. It’s hard to think of another industry that has as much of a hype machine behind it as tech does, so the real secret of the TR10 is really what we choose to leave off the list.Check out the full list of our 10 Breakthrough Technologies for 2025, which is front and center in our latest print issue. It’s all about the exciting innovations happening in the world right now, and includes some fascinating stories, such as: + How digital twins of human organs are set to transform medical treatment and shake up how we trial new drugs.+ What will it take for us to fully trust robots? The answer is a complicated one.+ Wind is an underutilized resource that has the potential to steer the notoriously dirty shipping industry toward a greener future. Read the full story.+ After decades of frustration, machine-learning tools are helping ecologists to unlock a treasure trove of acoustic bird data—and to shed much-needed light on their migration habits. Read the full story. 
+ How poop could help feed the planet—yes, really. Read the full story.
Roundtables: Unveiling the 10 Breakthrough Technologies of 2025 Last week, Amy Nordrum, our executive editor, joined our news editor Charlotte Jee to unveil our 10 Breakthrough Technologies of 2025 in an exclusive Roundtable discussion. Subscribers can watch their conversation back here. And, if you’re interested in previous discussions about topics ranging from mixed reality tech to gene editing to AI’s climate impact, check out some of the highlights from the past year’s events. This international surveillance project aims to protect wheat from deadly diseases For as long as there’s been domesticated wheat (about 8,000 years), there has been harvest-devastating rust. Breeding efforts in the mid-20th century led to rust-resistant wheat strains that boosted crop yields, and rust epidemics receded in much of the world.But now, after decades, rusts are considered a reemerging disease in Europe, at least partly due to climate change.  An international initiative hopes to turn the tide by scaling up a system to track wheat diseases and forecast potential outbreaks to governments and farmers in close to real time. And by doing so, they hope to protect a crop that supplies about one-fifth of the world’s calories. Read the full story. —Shaoni Bhattacharya

The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Meta has taken down its creepy AI profiles Following a big backlash from unhappy users. (NBC News)+ Many of the profiles were likely to have been live from as far back as 2023. (404 Media)+ It also appears they were never very popular in the first place. (The Verge) 2 Uber and Lyft are racing to catch up with their robotaxi rivalsAfter abandoning their own self-driving projects years ago. (WSJ $)+ China’s Pony.ai is gearing up to expand to Hong Kong.  (Reuters)3 Elon Musk is going after NASA He’s largely veered away from criticising the space agency publicly—until now. (Wired $)+ SpaceX’s Starship rocket has a legion of scientist fans. (The Guardian)+ What’s next for NASA’s giant moon rocket? (MIT Technology Review) 4 How Sam Altman actually runs OpenAIFeaturing three-hour meetings and a whole lot of Slack messages. (Bloomberg $)+ ChatGPT Pro is a pricey loss-maker, apparently. (MIT Technology Review) 5 The dangerous allure of TikTokMigrants’ online portrayal of their experiences in America aren’t always reflective of their realities. (New Yorker $) 6 Demand for electricity is skyrocketingAnd AI is only a part of it. (Economist $)+ AI’s search for more energy is growing more urgent. (MIT Technology Review) 7 The messy ethics of writing religious sermons using AISkeptics aren’t convinced the technology should be used to channel spirituality. (NYT $)
8 How a wildlife app became an invaluable wildfire trackerWatch Duty has become a safeguarding sensation across the US west. (The Guardian)+ How AI can help spot wildfires. (MIT Technology Review) 9 Computer scientists just love oracles 🔮 Hypothetical devices are a surprisingly important part of computing. (Quanta Magazine)
10 Pet tech is booming 🐾But not all gadgets are made equal. (FT $)+ These scientists are working to extend the lifespan of pet dogs—and their owners. (MIT Technology Review) Quote of the day “The next kind of wave of this is like, well, what is AI doing for me right now other than telling me that I have AI?” —Anshel Sag, principal analyst at Moor Insights and Strategy, tells Wired a lot of companies’ AI claims are overblown.
The big story Broadband funding for Native communities could finally connect some of America’s most isolated places September 2022 Rural and Native communities in the US have long had lower rates of cellular and broadband connectivity than urban areas, where four out of every five Americans live. Outside the cities and suburbs, which occupy barely 3% of US land, reliable internet service can still be hard to come by.
The covid-19 pandemic underscored the problem as Native communities locked down and moved school and other essential daily activities online. But it also kicked off an unprecedented surge of relief funding to solve it. Read the full story. —Robert Chaney We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + Rollerskating Spice Girls is exactly what your Monday morning needs.+ It’s not just you, some people really do look like their dogs!+ I’m not sure if this is actually the world’s healthiest meal, but it sure looks tasty.+ Ah, the old “bitten by a rabid fox chestnut.”

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Equinor Secures $3 Billion Financing for US Offshore Wind Project

Equinor ASA has announced a final investment decision on Empire Wind 1 and financial close for $3 billion in debt financing for the under-construction project offshore Long Island, expected to power 500,000 New York homes. The Norwegian majority state-owned energy major said in a statement it intends to farm down ownership “to further enhance value and reduce exposure”. Equinor has taken full ownership of Empire Wind 1 and 2 since last year, in a swap transaction with 50 percent co-venturer BP PLC that allowed the former to exit the Beacon Wind lease, also a 50-50 venture between the two. Equinor has yet to complete a portion of the transaction under which it would also acquire BP’s 50 percent share in the South Brooklyn Marine Terminal lease, according to the latest transaction update on Equinor’s website. The lease involves a terminal conversion project that was intended to serve as an interconnection station for Beacon Wind and Empire Wind, as agreed on by the two companies and the state of New York in 2022.  “The expected total capital investments, including fees for the use of the South Brooklyn Marine Terminal, are approximately $5 billion including the effect of expected future tax credits (ITCs)”, said the statement on Equinor’s website announcing financial close. Equinor did not disclose its backers, only saying, “The final group of lenders includes some of the most experienced lenders in the sector along with many of Equinor’s relationship banks”. “Empire Wind 1 will be the first offshore wind project to connect into the New York City grid”, the statement added. “The redevelopment of the South Brooklyn Marine Terminal and construction of Empire Wind 1 will create more than 1,000 union jobs in the construction phase”, Equinor said. On February 22, 2024, the Bureau of Ocean Energy Management (BOEM) announced

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USA Crude Oil Stocks Drop Week on Week

U.S. commercial crude oil inventories, excluding those in the Strategic Petroleum Reserve (SPR), decreased by 1.2 million barrels from the week ending December 20 to the week ending December 27, the U.S. Energy Information Administration (EIA) highlighted in its latest weekly petroleum status report, which was released on January 2. Crude oil stocks, excluding the SPR, stood at 415.6 million barrels on December 27, 416.8 million barrels on December 20, and 431.1 million barrels on December 29, 2023, the report revealed. Crude oil in the SPR came in at 393.6 million barrels on December 27, 393.3 million barrels on December 20, and 354.4 million barrels on December 29, 2023, the report showed. Total petroleum stocks – including crude oil, total motor gasoline, fuel ethanol, kerosene type jet fuel, distillate fuel oil, residual fuel oil, propane/propylene, and other oils – stood at 1.623 billion barrels on December 27, the report revealed. This figure was up 9.6 million barrels week on week and up 17.8 million barrels year on year, the report outlined. “At 415.6 million barrels, U.S. crude oil inventories are about five percent below the five year average for this time of year,” the EIA said in its latest report. “Total motor gasoline inventories increased by 7.7 million barrels from last week and are slightly below the five year average for this time of year. Finished gasoline inventories decreased last week while blending components inventories increased last week,” it added. “Distillate fuel inventories increased by 6.4 million barrels last week and are about six percent below the five year average for this time of year. Propane/propylene inventories decreased by 0.6 million barrels from last week and are 10 percent above the five year average for this time of year,” it went on to state. In the report, the EIA noted

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More telecom firms were breached by Chinese hackers than previously reported

Broader implications for US infrastructure The Salt Typhoon revelations follow a broader pattern of state-sponsored cyber operations targeting the US technology ecosystem. The telecom sector, serving as a backbone for industries including finance, energy, and transportation, remains particularly vulnerable to such attacks. While Chinese officials have dismissed the accusations as disinformation, the recurring breaches underscore the pressing need for international collaboration and policy enforcement to deter future attacks. The Salt Typhoon campaign has uncovered alarming gaps in the cybersecurity of US telecommunications firms, with breaches now extending to over a dozen networks. Federal agencies and private firms must act swiftly to mitigate risks as adversaries continue to evolve their attack strategies. Strengthening oversight, fostering industry-wide collaboration, and investing in advanced defense mechanisms are essential steps toward safeguarding national security and public trust.

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The “steroid olympics” were a circus—and a window into our culture

Testosterone. Methenolone. Nandrolone. Human growth hormone and EPO. Meldonium, modafinil, and mixed amphetamine salts. Clomiphene, anastrozole, levothyroxine, and liothyronine. Patches and capsules, creams and pills. A whole galaxy of steroids, metabolic modulators, and synthetic hormones coursing through the blood of a few dozen swimmers, sprinters, and weightlifters. And millions of dollars up for grabs for athletes who could break world records and usher in the age of superhumanity. On Sunday, May 24, at a $50 million arena built in a casino parking lot in Las Vegas, I witnessed a libertarian thought experiment come to life. The inaugural Enhanced Games were the first sporting competition where participants were encouraged to take performance-enhancing drugs. The founders say they’re challenging dated sporting norms and helping to build a world where we can all live better, longer lives. Critics say the event is an embarrassment, that it glamorizes the use of dangerous substances and puts lives at risk.  The open-air venue was compact and decked out in bright blue, with a six-lane, 100-meter track down one side, a four-lane Olympic-length swimming pool down the other, and a weightlifting platform and stage at the front. You could see the golden façade of the Trump Hotel looming in the background. The scene had all the trappings of an NFL game, with the too-loud music and crowd work on the big screen—a “flex cam”  gave the well-muscled an excuse to unveil their biceps. Between events, adverts flashed up for the line of performance products sold by Enhanced, the company behind the event: injectable peptides that supposedly support cellular energy and skin elasticity, daily supplement powders with names like “Stronger” and “Longer.” SAEED RAHBARAN SAEED RAHBARAN Australian swimmer James Magnussen was the first athlete to sign up with Enhanced but hasn’t broken any world records. He finished last in his two events in Las Vegas. The day started with the weightlifters, under the blazing sun. But by 4 p.m., only one of them had even attempted a world-record lift. Two had pulled out injured. Some athletes were competing without taking drugs because of the money on offer, and as the competition went on, they had the better of their enhanced peers: Hunter Amstrong, a 25-year-old American swimmer and triple Olympic medalist, won the backstroke by more than a second. In the men’s 100-meter sprint, the non-enhanced US athlete Fred Kerley romped to an easy victory. “Man, they gotta do better than that,” he said of his doped opponents in his post-race interview. “They need to train a little harder, get on that shit a little bit more.” At the bar, bodybuilders swapped before-and-after pictures and talked about their stacks, and VCs and finance bros traded LinkedIn details. Lukas Lakutsin, a 6-foot-10, 354-pound Russian bodybuilder who was milling around the entrance to the VIP suites, initially told me he didn’t use any performance-enhancing drugs. Except testosterone replacement therapy, of course. But he didn’t think that really counted. “I’m almost 34 years old,” he said. “I need to do this to stay strong.” The “protocol” for Enhanced athletes only includes FDA-approved drugs. While Enhanced’s team might make recommendations, individuals have the final say on what they want to take, if anything.SAEED RAHBARAN Jeremy Sigal, an influencer and author, wore a USA tank top that showed off hugely muscled arms adorned with prison tattoos. He told me he was proudly natural, in both his health and his personal life. “I’ve got an exceptional credit score,” he said. He has written 12 books on marketing and leadership. Later, I looked up his most recent book online. It’s called Simp to Pimp: 10 Steps to Fix Why She’s Not Banging You and lists AI as a coauthor.
What I saw in Las Vegas probably wasn’t the future of sport. But it was a perfect encapsulation of our present moment, as Silicon Valley biohackers, alt-right looksmaxxers, Make America Healthy Again boosters, and longevity-obsessed scientists all vie to remake reality in their own image. For them, the Enhanced Games offered a glimpse of a future where medical advances push the human race to new heights, and where they never have to get old.  I’ve tracked Enhanced’s journey from a crazy idea scribbled on a napkin to a public company valued at $1.2 billion. Behind the scenes, there have been power struggles, life-changing victories, and moments of total farce. As I recently, finally, watched the games unfold, two questions bounced around my head: Were they right? And what does that mean for the rest of us?
In December 2022, the Australian entrepreneur Aron D’Souza flew to Miami to spend New Year’s Eve with his friend and mentor Peter Thiel. A decade earlier, D’Souza had helped Thiel orchestrate the lawsuit that bankrupted Gawker—a stunning revenge against the gossipy New York media blog that had outed him as gay. Now he was armed with a disruptive idea that he thought Thiel, the billionaire cofounder of PayPal and Palantir, would love. It was inspired by the buff bodies he’d been seeing at the gym, highlighting a disconnect between a workout culture where the use of steroids was an open secret and a sporting establishment where it was, at least on paper, an inviolable taboo. His initial pitch was provocative and confrontational: a grand sporting event to rival the Olympic Games, where competitors could take any substance they wanted—their body, their choice. The first time I met D’Souza, in the spring of 2024, he had founded the company and attracted some initial investment but seemed obsessed with taking on the fat cats at the International Olympic Committee and reinventing sports (even though he didn’t seem to be a huge sports fan himself). On Enhanced’s Discord server, I found a folder full of memes with names like IOC Clowns.jpg. The whole thing felt very unserious. That would change.  D’Souza told me that Thiel had previously introduced him to Christian Angermayer, a German biotech billionaire, who would come onboard at Enhanced. He’s funded clinical trials of psychedelics through his company Atai Life Sciences and is helping bring them into the medical mainstream as a treatment for depression and anxiety. Angermayer says he spotted an opportunity to do the same thing for steroids. What he really wants is to redefine medicine, he told me. Its focus has already changed from treating disease to trying to prevent it; actively enhancing people’s health, he says, is just the next logical step. By early 2024, Angermayer had brought his own people into key roles. The team included Michael Sagner, an anti-aging expert and private doctor who works with many of Hollywood’s leading men, and Max Martin, who has the jawline and cheekbones of an Instagram looksmaxxing influencer and the boundless enthusiasm of a puppy. (He started his own enhancement program a few years ago, when he was just 27.) Sagner would head up Enhanced’s medical commission, making sure the games were safe for the athletes. It was Martin’s job to make sure they actually happened.  In early May, Enhanced began trading on the New York Stock Exchange with an initial value of $1.2 billion. Christian Angermayer stands far right with Max Martin to his left (front row), and Aron D’Souza next to him.LEV RADIN/ZUMA PRESS WIRE VIA ALAMY Tensions sparked as D’Souza’s freewheeling style clashed with the more sensible image that Sagner and others were now keen to present. “It was not just his personality and his abrasive way of talking,” Sagner told me recently. “Even when he was briefed on a scientific fact, he would just completely ignore it and say something outrageous.” But the more outrageous D’Souza got, the more attention his idea received. In February 2024, James Magnussen, a retired Australian swimmer, became the organization’s first official athlete, and Enhanced promised to pay a million dollars to him, or anyone else, who could break the world record in the 50-meter freestyle. The notion of a “steroid olympics,” as many have dubbed the Enhanced Games, had been kicking around for decades—for instance, in a Wired article from the early 2000s and an SNL sketch from the 1980s. Two things helped finally make the Enhanced Games a reality. First, in November 2024, Donald Trump was again elected president of the United States. The Biden administration had been actively hostile to the games, but the founders saw a more receptive political environment in Trump world. Not long after the election, Enhanced announced a new tranche of funding led by 1789 Capital, a venture capital firm whose partners include Donald Trump Jr.
And second, in February 2025, an enhanced swimmer finished the 50-meter freestyle faster than anyone in human history. It wasn’t Magnussen, though. He had been injecting himself with testosterone to grow muscle, plus a cocktail of peptides that aimed to speed up recovery—but his journey hadn’t quite worked the way he’d planned. A combination of reputational issues (no pools wanted to host his training) and physical complications (the regimen did help him get stronger, but he packed on so much muscle that it slowed him down in the water) meant he watched from the sidelines as the Bulgarian-Greek swimmer Kristian Gkolomeev—who had finished fifth at the Paris Olympics in 2024—came in two-hundredths of a second under the record and won a million-dollar payout from Enhanced. The idea has always been that breaking records would effectively prove the legitimacy of this enhancement project: Look what we can do now.  Enhanced swimmers like Magnussen (right) wore supersuits to compete, though they’ve been banned by World Aquatics since 2010.SAEED RAHBARAN SAEED RAHBARAN Gkolomeev, though, had a different motivation for participating: “One successful year in the Enhanced Games and I could make as much as I would in almost 10 careers,” he told me not long after setting the new record (notably, wearing a kind of “supersuit” that’s been banned by World Aquatics since 2010). Enhanced was paying its athletes a regular salary, on top of any potential bonus. And he had a young family to support and feared that the four-year stretch to the next Olympics would be long and precarious.  In May 2025, with a world record in the bag and a friendly administration in the White House, Enhanced was ready to announce its first games: They’d take place in May 2026 at Resorts World in Las Vegas. 
At the same time, D’Souza made another big reveal: Enhanced Performance Products, a line of supplements available for a monthly subscription. The Enhanced Games now seemed less like a sporting event and more like a loss leader for selling testosterone injections, GLP-1s, or a range of peptides that are claimed, with little scientific evidence, to improve sleep or skin elasticity. Perhaps it was all a brilliantly executed marketing stunt. “The games themselves now seem almost secondary to what appears to be an online marketplace for hormones, peptides, and other performance-enhancing compounds,” says Astrid Kristine Bjørnebekk, a steroids expert at Oslo University Hospital. “From my perspective, this significantly changes the nature of the project. It is one thing to organize a closed sporting event built around controversial principles, but openly marketing and commercializing substances such as testosterone, hGH, GLP-1 drugs, peptides, and other pharmacological compounds is something else entirely.” As the games approached, more athletes joined. Some were genuinely elite. The US sprinter Kerley—who is serving a two-year ban for missing three drug tests—had won silver in the 100 meters in the Tokyo Olympics and a bronze in Paris. Ben Proud, a British swimmer, had won silver at the Paris Olympics and dozens of medals at world and European championships and the Commonwealth Games. He had been mulling over joining the Enhanced Games ever since the idea first emerged, but the tipping point seemed to come when Gkolomeev’s record was announced.  Some participants, like Magnussen and another swimmer, Megan Romano, had been tempted out of retirement. Romano hadn’t swum competitively for almost a decade. Others were at the start of their careers but ready to cash in their chips and bid goodbye to Olympic dreams for a potential six-figure payday. The $1 million payouts were reserved for records in the two flagship events—the 50-meter freestyle and the 100-meter sprint—but winning any other event would mean a prize of $250,000, with an additional $250,000 bonus for setting a world record.
Athletes would get paid even if they just showed up and finished last—as much as $50,000. This is all on top of the salaries that stretched into six figures in some cases, making the payout from the games more than many athletes make in a year. Sport’s governing bodies reacted to each new athlete announcement with fury. World Aquatics threatened to ban for life any athlete who participated in the games, even if they didn’t take any drugs. Enhanced responded with an $800 million antitrust lawsuit against the global swimming organization, the World Anti-Doping Agency, and USA Swimming, alleging misuse of monopoly power. American Fred Kerley (right) won the 100-meter sprint without performance enhancing drugs.SAEED RAHBARAN In November 2025, a court in New York dismissed the case. Three days later, D’Souza, the mind behind the entire project, was out. A notice on Enhanced’s website said he had “transitioned out of the company’s day-to-day operations.” Martin would take over as CEO. “The investors basically said we need someone a bit more serious,” Sagner told me. In conversations, execs at Enhanced played down any suggestion of a feud—D’Souza was simply the ideas man, with little interest in the day-to-day dreariness of actually running a company. (Enhanced spokesperson Chris Jones wrote in a statement that “there is no tension between Aron and Enhanced that I’m aware of.” D’Souza did not respond to a request for comment.) I got the sense that Enhanced, in its new iteration as a pharmaceutical subscription company, was almost embarrassed by the games. When I visited enhanced.com a couple of months before the event, they had been relegated to a sub-heading on the home page. D’Souza’s showmanship had helped get attention for what was becoming a run-of-the-mill telehealth business like Hims & Hers—albeit one well timed to take advantage of a shifting regulatory landscape around peptides, which Robert F. Kennedy Jr., the US secretary of health and human services, has been pushing the FDA to approve despite a lack of evidence that they’re actually effective.  Sagner is still loosely involved with Enhanced, but he says the medical commission was not consulted before it launched its line of performance products. (Jones did not respond to a question regarding this claim.) Sagner is scathing about what he sees as the “hype” around peptides. “I can tell you already, peptides do nothing,” he says—with the exception of human growth hormone and GLP-1. “The peptides that people use, black-market peptides that they buy online—they do nothing. We have tested them; 80% of them contain nothing. It’s saline solution, salt water, and some of them are contaminated.” At the end of January 2026, a group of around 40 swimmers, weightlifters, and sprinters arrived in Abu Dhabi to start their individualized enhancement “protocol,” as Enhanced calls it. Officially, they would be taking part in a clinical trial, pending approval by the Abu Dhabi government and overseen by Guido Pieles, a Qatar-based cardiologist who has taken over the reins of Enhanced’s medical commission from Sagner.
The day started with the weightlifters, but by late afternoon, only one of them had even attempted a world-record lift.SAEED RAHBARAN They would be allowed to choose only from a menu  of specific FDA-approved drugs. Pieles broke them down into five categories: testosterone variants and growth hormones, which can both boost muscle mass; metabolic modulators that can tweak how the body burns fat; stimulants like Adderall to improve focus; and EPO, which can increase the amount of oxygen the blood is able to carry. While Enhanced’s team might recommend particular things, the athletes would have the final say on what they wanted to take, if anything. (As Oslo University’s Bjørnebekk points out, FDA approval “does not mean the substances are inherently safe, particularly not when used for enhancement purposes.”)  There would be regular blood tests, heart scans, and brain scans and access to the best training facilities money could buy. Pieles and others say the clinical trial will help inform the line of supplements Enhanced is offering consumers, but there’s actually very little overlap between the drugs the athletes were taking and the substances the company is currently selling.  
Not long after they arrived in the Middle East, the athletes were awakened by the sound of explosions at a military base near their hotel. The US and Israel had struck Iran, and the Iranian regime was responding by peppering the region with missiles. “It wasn’t a pleasant situation,” says Andrii Govorov, the world record holder in the 50-meter butterfly, who a year earlier had become one of the first swimmers to join Enhanced. Govorov had some experience in these matters—back in Ukraine, he’d had a business selling cars that helped fund his swimming career, but he’d lost it after the Russian invasion. SAEED RAHBARAN SAEED RAHBARAN SAEED RAHBARAN Swimming, sprinting, and weightlifting were the focus of the first Enhanced Games but in many ways the sports were the sideshow. The conflict exacerbated delays in getting approval for the clinical trial and sourcing the drugs, and as a result, what was supposed to be a 12-week enhancement protocol got cut down to eight weeks. The athletes didn’t actually start taking the drugs until toward the end of March. For those who had always been clean, that represented the irreversible crossing of a line. “The first injection was very emotional, very tricky to navigate,” says Proud. “For me, that was the day I went from the Ben Proud that I always knew to a new person.” Proud was joined in the enhancement program by his girlfriend, Emily Barclay, who had swum at college level without ever appearing at a major international event; she was working as a swimming teacher at a school in England. After that first injection, they left Abu Dhabi and spent a few days in Dubai as they reckoned with what they had done. “I just couldn’t be around the team,” Proud says. “I wanted to be by myself and feel those feelings, because it is a big deal to make that step, and I felt it.” Those feelings were soon forgotten, though, as the drugs kicked in. Proud says he had incredible energy, and a drive to train that he hadn’t experienced before. Shania Collins, an American sprinter, says she had “increased strength, increased recovery, and increased mental clarity at practice.” Sagner and several athletes admitted there were some side effects: acne and some swelling around the joints; unwanted hair growth for the women, unwanted hair loss for the men. Like Kerley, sprinter Tristan Evelyn from Barbados competed without taking any drugs. She too won big in Vegas, besting her Enhanced peers in two events.SAEED RAHBARAN One thing the athletes wouldn’t talk about, though, is what drugs they were actually taking. They all had the same reason: not wanting to encourage copycats who might take enhancements without a doctor on hand to tailor programs to their needs.  The one exception was Thor Björnsson (testosterone, deca-durabolin, anastrozole, halotestin), a hulking Icelandic deadlifter and former World’s Strongest Man who played The Mountain on Game of Thrones. Björnsson first heard about the games on Joe Rogan’s podcast and was immediately interested. The rules for strongman competitions are somewhat less stringent than those for Olympic sports, though, and he actually had to reduce the number of substances he was taking to meet Enhanced’s FDA requirements. Icelandic strongman Thor Björnsson actually had to reduce the number of substances he was taking to meet Enhanced’s FDA requirements.SAEED RAHBARAN There is some debate over how much doping some of the athletes were actually doing. In a conversation last year, Gkolomeev told me he’d only really been “microdosing,” and he confirmed that his 2026 enhancement program was largely the same. Sagner says the doses the athletes were taking were a fraction of the amounts some Olympic athletes had been caught using in the past. I heard that a few athletes had decided not to take steroids or growth hormones and were only using modafinil, a narcolepsy medication that’s thought to improve focus. The day before the games, I asked Angermayer what it would mean if clean athletes like Kerley and Armstrong won their events—what impact it would have on Enhanced’s business model of using sports as a showcase for its line of performance products if the people using those products didn’t actually win anything. “I know what you mean, but mostly our business model is headlines to drive attention,” he said. “Any debate is good for us.”  In early May, Enhanced began trading on the New York Stock Exchange with an initial value of $1.2 billion. That same week, it was finally go time. The athletes and coaches left Abu Dhabi and flew to Las Vegas, where they were put up in five-star luxury at the Conrad hotel inside Resorts World while they made their final preparations.  When I got there a few weeks later, toward the end of May, I found it jarring to see these hulking presences walking around the casino in their Enhanced sportswear, weaving their way through packs of half-drunk tourists, with slot machines flashing in the background and cigarette smoke hanging in the air. I had expected the games to be a bigger deal within the city itself, but they were just one of a thousand things happening in Vegas that weekend—drowned out by a series of BTS shows at the football stadium, by the Golden Knights in the NHL playoffs, by No Doubt’s residency at the Sphere.
If this was a sporting earthquake, it was one whose tremors were mainly being felt online, where bodybuilding influencers livestreamed to their followers on Kick and Twitch, and where thousands watched on YouTube and Rumble. (D’Souza once told me he’d had “every major sports broadcaster” vying for the rights; in the end, Enhanced struck an exclusive streaming deal with Roku in the US.)  No tickets were sold, so the crowd was a mix of invited guests, investors, and influencers, some of whom had reportedly been flown in on a chartered jet. SAEED RAHBARAN On the morning of the games, Enhanced held a medical symposium that was supposed to provide a taste of the company’s long-term objectives. The first speaker was Bryan Johnson, the longevity-obsessed entrepreneur famous for plowing his personal fortune into wild attempts to reverse his aging: receiving transfusions of his teenage son’s plasma, measuring his nighttime erections, taking more than 100 supplement pills a day. He spends $2 million per year on all this, but he looked pale and vampiric as he delivered the slightly off-brand message that, really, the most important thing was getting a good night’s sleep: “You don’t need to chase IV infusions; you don’t need to chase crystals. You don’t really need to do much of anything.” At 2 p.m., I took two escalators from the conference room down to the arena, where spectators were filtering in. Though it had cost $50 million, it had been constructed in just three and a half weeks, and it showed; on the media tour the previous day, there were still loose screws on the floor of the bleachers.  There were a few thousand seats in an open grandstand down one side, and two rows of VIP suites on the other. No tickets were sold, so it was a strange mix of invited guests, investors, and influencers, some of whom had reportedly been flown in from Los Angeles on a chartered jet. The rapper Tyga was the biggest name to grace the “blue carpet,” although I did also spot Fabio James, a Michael Jackson look-alike who has had surgery to make the resemblance even stronger. Rumors swirled that Peter Thiel might show up; they proved unfounded. In attendance was Fabio James, a Michael Jackson look-alike who has had surgery to make the resemblance even stronger.SAEED RAHBARAN A few hours before the doors opened, journalists got a stern message from the organizers trying to bar us from interviewing guests. Still, I talked to a Cambridge professor who wanted to use Enhanced as a case study in innovation for his MBA students, a retired Brazilian swimmer with the Olympic rings tattooed on his forearm, and a biotech investor wearing an Enron hat. Proud’s family and friends were sheltered from the blazing sun in the shadow of the big screen.  D’Souza was nowhere to be seen. Nor was he really mentioned at all—not during the introductory press conference, where Martin was introduced as the “founder of the Enhanced Games,” nor during the event itself, where the athletes showered praise on Angermayer and Martin. But the tens of millions D’Souza had banked from the stock listing likely softened any blow. Plus, he’s already moved on to his next provocative venture: an AI-powered arbitration platform designed to scrutinize the work of journalists on behalf of the rich and powerful. As the sun set behind the hills, casting the arena in soft gold light, there were still no world records. That and the wins for clean athletes seemed to put the whole Enhanced project in jeopardy—the knives were already being sharpened online. I asked the organizers whether this threatened the legitimacy of the project.  German swimmer Marius Kusch was among the dozen or so athletes who hit personal bests in Vegas. SAEED RAHBARAN “Our response is that enhancements help athletes improve and, in some cases, break records. And yes, some non-enhanced athletes also won—because talent and ability also matter,” Enhanced’s Jones emailed last week. “Breaking world records is incredibly hard as the margin is infinitesimal, as we witnessed. Ignoring that 13 athletes some of whom 10 years later broke personal bests is disingenuous and selective reporting.”  Megan Romano was one of them, swimming faster in the 50-meter freestyle at 35 than she had at 22. And Emily Barclay knocked two seconds off her fastest time in the 100-meter freestyle, coming in second in that event and winning the 50-meter freestyle; she went home with a check for $375,000. “No one’s ever heard of this girl,” said Enhanced swim coach Brett Hawke afterwards. “She’s retired; she’s a nobody. She comes out tonight and swims a time that would have got a bronze medal in Paris.” For all the talk of “superhumanity” and pushing the boundaries of performance, making a 35-year-old feel 22 again is probably the perfect marketing message for the products Enhanced wants to sell.  Angermayer cheers on swimmer Megan Romano, who swam faster in the 50-meter freestyle at 35 than she did at 22.SAEED RAHBARAN Enhanced’s executives say people should take enhancements only with medical supervision, but price could be a barrier to heeding that advice. The battery of health tests the company was giving its athletes in the run-up to the games cost $25,000 per athlete per month. The drugs themselves start at $75 a month and go up toward $200. While Jones says the products “are in line with industry price points,” there were almost certainly people watching who saw the drug-altered physiques of athletes like Gkolomeev or Magnussen and decided to find cheaper, less safe alternatives on unlicensed websites. “Many of these substances require medical supervision and prescriptions, and several are associated with potentially serious long-term health consequences,” says Bjørnebekk. “Presenting them in this lifestyle-oriented and commercial format risks normalizing use while downplaying the medical risks and uncertainties.” Although his world record-breaking time won’t stand as the official record, swimmer Kristian Gkolomeev will walk away from the Enhanced Games with a million dollar prize in the 50-meter freestyle.SAEED RAHBARAN Before the night was over,  Gkolomeev again had the chance to right the Enhanced ship. The final event of the night was the men’s 50-meter freestyle swim. His 2025 time had been surpassed by the Australian swimmer Cam McEvoy (without a supersuit) at the China Swimming Open a couple of months before, so he needed to lose another two-hundredths of a second to beat the new record of 20.88 seconds.  Gkolomeev was wearing the same supersuit he’d used the previous year, and he’d shaved off his mustache for a little extra streamlining. But he messed up his start—doing four kicks instead of five—and was trailing Proud at the halfway mark. His long arms levered him forward, though, and he reached the wall in 20.81. The spectators were on their feet as “WORLD RECORD” flashed red on the big screen. Martin vaulted over the glass partition from the VIP suites, beaming, to embrace Gkolomeev. They had their record. Or did they? Online, people shared screenshots from the video feed, purporting to show that the clock had stopped before Gkolomeev’s hand touched the pressure sensor at the end of the pool. An Enhanced spokesperson gave a statement to the Guardian dismissing this as “completely unfounded internet drivel.” But hey—live by the sword, die by the sword. It’s quite possible Gkolomeev didn’t care. He had another million in the bank.  It remains to be seen if it’ll work out so well for the other athletes. Enhanced organizers recently announced a prize of $10 million for anyone who can break Usain Bolt’s 100-meter world record in 2027. They are adamant that the games will happen again next year. If they don’t, dozens of sporting careers will be over, and the athletes will join the long list of victims of VC-backed disruption. My personal prediction is that Enhanced will pivot away from the risk and uncertainty of a flagship event—the company’s valuation plunged by almost $800 million when markets opened after what was perceived as an underwhelming set of results in Vegas. I expect you’ll see individual stunts and challenges, tightly controlled and filmed for virality and probably featuring your favorite YouTubers—think Björnsson bench-pressing Jake Paul. D’Souza’s initial idea has served its purpose by capturing the world’s attention. But that won’t necessarily translate into success either. Though the company has had plenty of hype over the last 12 months, SEC filings published as part of its stock exchange listing reveal that it generated only $2,755 in revenue from its enhancements business in the first three months of 2026. Would what happened in Vegas be enough to juice sales? Martin, Enhanced’s CEO, cheers on athletes from the stands. Company leadership insists the competition will take place again next year. SAEED RAHBARAN As the athletes gathered on the stage to receive their prizes, Martin took the microphone and addressed the crowd. “Enhanced is culture,” he said. “We are at the pulse of where the world is going.” On this, at least, he’s probably right. Testosterone replacement therapy is rapidly moving into the mainstream, and while the science may still not be there on peptides, they have certainly exploded in popularity in the two years since Enhanced launched. And there are undoubtedly more substances yet to be discovered that will promise to improve people’s lives, or at least hold their appearance in stasis. The enhanced age is upon us, whether we want it or not.  As the fireworks went off and the Killers closed out the event with “When You Were Young” (“Congratulations to … whoever deserves it,” said frontman Brandon Flowers), I wondered what that might mean for us mere mortals. Invoking Hunter S. Thompson’s Fear and Loathing in Las Vegas in a story about drugs and Las Vegas may be a cliché, but it struck me that fear played a big part in all of this. Fear of missing out. Fear of getting old. Fear of never making a dime on your life’s pursuit. Fear of waking up one morning and seeing your flabby, sunken face in the mirror while everyone around you shines and grins and thrives with white-toothed, alien smiles. Before joining Enhanced, Romano had not swum competitively in almost a decade. SAEED RAHBARAN But the big problem with Enhanced’s vision of superhumanity is the question of who gets to join in. “People will be able to enhance themselves if they have enough money,” Sagner had told me the night before the games. The rest of us, I fear, will just have to function as normal human beings. Amit Katwala is a journalist and author covering science, culture, and where they collide. His latest book is Tremors in the Blood: Murder, Obsession and the Birth of the Lie Detector. He is based in London.

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Fluid, natural voice translation with Gemini 3.5 Live Translate

Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has come a long way with over a trillion words being translated for billions of users across our products every month.Today, we’re taking our next step with the release of Gemini 3.5 Live Translate, our latest audio model for live speech-to-speech translation.The model automatically detects 70+ languages and generates smooth, natural-sounding translated speech that preserves the speakers’ intonation, pacing and pitch. Unlike turn by turn systems that wait for the speaker to finish speaking before responding, 3.5 Live Translate generates speech continuously, balancing the trade-off between waiting for context to improve quality and translating immediately to stay in sync with the speaker. It delivers fluid audio without awkward pauses and stays just a few seconds behind the speaker throughout the session.Gemini 3.5 Live Translate is rolling out starting today across Google products:Build with 3.5 Live TranslateGemini 3.5 Live Translate processes speech as it’s streamed, enabling a more seamless connection across languages. The model handles multilingual inputs without the need to manually configure settings. At the same time, its noise robustness ensures applications can handle loud, unpredictable environments. You can use its capabilities to help facilitate live interpretation for multilingual calls, meetings, lessons, broadcasts and more.

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Powering the future of robotics in Europe

AI has the potential to help solve some of the world’s biggest challenges — not just in the digital realm, but in the physical world, too. Robotics is one of the most exciting frontiers of AI, where advances in language, vision and action models can help create intelligent machines that interact with the real world in safer, more helpful and more adaptive ways.That’s why we’re launching the Google DeepMind Accelerator: Robotics, a three-month program for early-stage robotics startups across Europe. This week, the selected startup founders are coming together to kick off the program, meet the Google DeepMind and Google teams, and begin a journey designed to support the next generation of physical AI. They’ll have access to our AI stack, technical expertise and Gemini robotics models.Selected from a strong pool of applicants, these startups will receive hands-on support from Google DeepMind and Google experts throughout the program. Through technical mentorship, product guidance and a wide network of partners, the accelerator will help founders turn cutting-edge AI research into real-world robotics applications. The cohort joining us in London this week reflects the breadth of opportunity in embodied AI — from logistics and manufacturing to healthcare, climate, and advanced navigation.Meet the startups and founders shaping the future of robotics and embodied AI:3D-Components AS (Norway): An AI-driven platform that automates welding selection and inspection, delivering results 280× faster than traditional trial-and-error methods.Acumino (Greece): Develops hardware-agnostic Physical AI that enables robots to perform complex industrial tasks in a scalable, cost-efficient, reliable manner with high ROI.Adapta Robotics (Romania): Provides a flexible software ecosystem for scalable and cost-effective device testing in industries like automotive and healthcare.AUAR (Automated Architecture) (United Kingdom): Makes homebuilding more affordable by deploying robotic MicroFactories directly to construction sites.Bubble Robotics (France): Building the ocean’s autonomous workforce: a vessel-free constellation of self-docking surface and subsea robots that see, hear, and act, feeding a live underwater world model.Danu Robotics (United Kingdom): Uses embodied AI robotic systems to automate complex waste sorting, increasing efficiency, improving safety, and enabling scalable recovery of valuable materials that supports the circular economy.Deltia GmbH (Germany): Digitizes production-line work, transforming workflows into process graphs that help teams optimize manual processes and automate repetitive tasks so people can focus where they matter most.Embodied AI (Switzerland): Deploys teleoperated humanoids that collect data during customer service to continuously train and improve their manipulation skills.Extend Robotics (United Kingdom): Provides teleoperation software and data pipelines that help train and fine-tune foundation models for real-world robotics applications.Forgis (Switzerland): Develops AI agents that understand machines like experienced engineers, predicting failures and optimizing operations.Generative Bionics (Italy): Amplifies human potential by developing humanoid robots based on physical AI, developed in Europe but built to scale globally.Qualia (Denmark): Building infrastructure that enables companies to turn robotic foundation models into working deployments, automating and optimising time-consuming manual labor.ROBEAUTE (France): Building microrobots that navigate through brain tissue to diagnose, treat and monitor neuropathology, establishing a new physical infrastructure layer in neurosurgery.Staer (Sweden): Uses computer vision on existing cameras and sensors to build 3D spatial models of facilities, giving robots a shared environment to navigate and operators real-time visibility into how their physical operations actually run.Touchlab (United Kingdom): Uses advanced nano inks to create an “e-skin” that gives robots a high-resolution sense of touch across flexible surfaces.These startups reflect the growing momentum of robotics and intelligent systems across Europe. Each company will receive mentorship and strategic guidance from Google DeepMind and Google to help them accelerate development and scale responsibly.Congratulations to this cohort! To learn more about the Google DeepMind Accelerator: Robotics, visit the official program page.

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Introducing Gemma 4 12B: a unified, encoder-free multimodal model

Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more advanced 26B Mixture of Experts (MoE), Gemma 4 12B packages powerful capabilities inside a reduced memory footprint. It is also our first mid-sized model to feature native audio inputs.Thanks to the developer community, Gemma 4 models have now crossed 150 million downloads. You’ve built everything from wearable robotic arms for physical assistance to enterprise-grade AI security. We’re excited to see what you build with this latest addition.Here’s an overview of what makes Gemma 4 12B unique:Novel unified architecture: No multimodal encoders. The vision and audio inputs flow directly into the LLM backbone.Advanced reasoning: Benchmark performance nearing our 26B model, unlocking powerful multi-step reasoning and agentic workflows.Laptop ready: Small enough to run locally with just 16GB of VRAM or unified memory.Open and accessible: Released under an Apache 2.0 license with support across the developer ecosystem.Drafter-ready: Gemma 4 12B comes equipped with Multi-Token Prediction (MTP) drafters to reduce latency.Together, these features bring advanced multimodal capabilities to everyday hardware without sacrificing speed or reasoning. Let’s now take a closer look at how Gemma 4 12B achieves this.Run state-of-the-art agents locallyGemma 4 12B delivers performance nearing our larger 26B MoE model on standard benchmarks, but at less than half the total memory footprint. Small enough to run locally on consumer laptops with 16GB of RAM, it unlocks powerful multimodal and agentic experiences right on your machine.

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Measuring the impact of learning with AI in Sierra Leone and beyond

The results from this pre-registered trial suggest that AI can be a powerful pedagogical partner — not by replacing teachers, but by augmenting their reach. This study is part of our ongoing effort to build a global evidence base for the impact of AI on teaching and learning.Beyond the answer engine: protecting critical thinkingA common concern is that generative AI could become a shortcut for students, potentially bypassing the challenging yet essential cognitive effort required for deeper learning. Guided Learning is designed to address this concern: it’s built from years of research and work in our LearnLM efforts to be pedagogically-grounded and specifically tuned to prioritize building understanding over providing direct answers.The data from Sierra Leone suggests this approach is working. An analysis of over 113,000 interactions exchanged during our trial revealed that students used the tool to build conceptual understanding in 91.4% of conversations, rather than simply seeking solutions. Gemini responded by posing scaffolding questions in 76% of its messages, providing direct solutions in only 2% of cases. This “Socratic” interaction ensures that the cognitive heavy lifting remains with the student.A teacher-led interventionThe success of this trial was built on a partnership between AI and educators, where teachers remained firmly at the center of the experience. Educators designed the lessons, set the objectives, and facilitated classroom discussions that drove learning.In focus groups, teachers reported that Gemini also supported their own professional growth. By using the tool for lesson preparation, they discovered new ways to explain familiar topics like fractions. Many described a shift from “lecturers” to “facilitators,” moving through the classroom to support pairs of students as they navigated their own learning journeys.To help others implement similar programs, we are releasing a teacher training guide with materials created in collaboration with Fab AI, including the specific protocols used for this study.Measuring the impactThe quantitative results were significant. Students using Guided Learning saw a gain of +0.258 standard deviations in their math scores compared to the control group. In practical terms, this represents roughly 1.2 to 1.7 years of typical learning progress achieved within the eight-week trial.Students in classrooms where their teachers incorporated Gemini into roughly half their lessons to meet a target of 12 hours during the trial saw even higher gains—roughly 1.8 to 2.5 years of progress. Engagement was also remarkably high: 69% of students met or exceeded usage targets, far surpassing the five percent typical for voluntary educational technology (famously known as “The Five Percent Problem”). That means students were not only engaged but they enjoyed coming to class more.Beyond the numbers, we also saw a profound shift in behavior. Students reported enjoying math more and actively engaged with learning beyond regular instruction. Crucially, over time, their conversations and questions became more learning-oriented, shifting toward skill building instead of seeking direct solutions. Specifically, skill-building queries rose to 90% by the final week — up from 68% in the first week — while solution-seeking questions dropped from 25% to 10%, proving students didn’t just want answers, they wanted to understand how they got there.To further understand the impact of Guided Learning on student learning, we are conducting a series of additional pre-registered RCTs globally. In the interest of advancing open science and disseminating timely insights, we are also releasing a playbook on our approach to RCTs with Fab AI to help others run faster, scalable studies aligned to their needs and contexts — to uncover robust localised evidence that keeps pace with technological advances. We will continue to publish our results and learnings as we conclude subsequent RCTs to construct a more comprehensive, cross-country evidence base, which we hope will inform responsible development of AI across the learning ecosystem. Additionally, our support of the Global AI for Learning Alliance (GAILA) will accelerate these commitments and others through collective action.The path forwardThough these results are promising, they also highlighted the challenge of the “achievement gap.” While the majority of students benefited, those who entered the trial with stronger math skills benefited most. This underscores an important need: to offer tools that deliver the strongest gains for the students who need it most.Looking ahead, we plan to expand these trials to other countries and probe more deeply into areas like metacognition and relational intelligence to capture a more holistic view that explores the nuanced complexity of learning. By combining the relational foundation of a teacher-led classroom of students with the personalized, scaffolding capabilities of AI, we can help ensure that technology serves as a bridge to meaningful learning opportunities for all.1 We also received support from Google.org and the Gates Foundation to conduct the trial. EducAid, Laterite and Oxford MeasurEd also collaborated with us.

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The Download: whole-body rejuvenation drugs and five things to know about AI

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition The outspoken longevity scientist David Sinclair has predicted that, one day, you’ll go to the doctor and get a prescription that will make you 10 years younger. MIT Technology Review has learned of his latest step toward this: human tests of a “reprogramming” drug. Sinclair, a biologist at Harvard Medical School, plans to launch the tests in a $101 million competition organized by the XPrize Foundation. The winners will “restore” a person to an earlier apparent age, as measured by improvements in immune, cognitive, and muscle function. The grand prize goes to any team able to show a 10-year (or greater) relative improvement after one year of treatment. 
Sinclair says he plans to give an oral drug mixture to volunteers, in a bid to seek “evidence for age restoration in humans.” Find out how he hopes to reverse ageing through chemical reprogramming. —Antonio Regalado
Five things you need to know about AI —Will Douglas Heaven At SXSW London last week, I gave a talk called “Five things you need to know about AI,” in which I shared what I think are the biggest themes in AI right now. I pulled a few things from our first AI10 list, an annual guide to the top trends in this buzzy world, but I also veered off on several tangents. In my half-hour slot, I tried to cover the key talking points that I think help to make sense of what’s going on in tech—and thus the economy—today.   Five key thoughts emerged: AI is everywhere all at once, it’s getting scary, a backlash is growing, it’s becoming a big deal for science—and I didn’t even need to show up at the talk. Read the full story for all the details. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 OpenAI has confidentially filed for a US IPOThe listing could come as early as September. (Reuters $)+ OpenAI is targeting a valuation of up to $1 trillion. (Financial Times $)+ The IPO will test investor appetite for AI companies. (WSJ $)+ The move follows IPO filings from Anthropic and SpaceX. (CNN) 2 The US claims BYD, Baidu, Alibaba, and others are aiding China’s militaryThe Pentagon added them to a list of military-linked companies. (WSJ $)+ The designations limit their operations in the US. (BBC)+ The new additions also include humanoid firm Unitree. (TechCrunch)+ The Pentagon is adapting to China’s tech rise. (MIT Technology Review)

3 Apple’s long-awaited AI overhaul of Siri is finally here“Siri AI” promises to be a more conversational assistant. (NYT $)+ It includes a standalone app and screen-reading features. (Reuters $)+ And arrives after two years of repeated delays. (Axios) 4 The White House and Congress are working to limit state AI lawsA new deal would curb state rules for federal legislation. (Axios)+ AI regulation has divided US politicians. (MIT Technology Review) 5  Meta is launching a “workforce academy” for building data centersThe five-week program is free of charge and guarantees a job. (WSJ $)+ It arrives shortly after Meta laid off 8,000 employees. (NPR)6 Taiwan is mulling curbs on AI chip exports to ChinaThe new controls would further align with US restrictions. (Bloomberg $)+ Future AI chips could be built on glass. (MIT Technology Review) 7 Meta has quietly removed face-recognition code from its smart glasses appThe code identified by investigators has disappeared. (Wired $) 8 Humanoid robots are edging towards the battlefieldAmerican and Chinese militaries are pursuing the tech. (BBC) 9 The world’s first wind-powered underwater data center has launchedIt uses less power and water than land-based equivalents. (Guardian) 10 You could get some benefits of sleep without having to nod offIf new brain stimulation works as well on humans as on mice, that is. (New Scientist $) Quote of the day
“You’re on the train, but you know that there’s no destination.” —Clara Shih, a former top AI executive at Salesforce and Meta, tells the New York Times that AI training can’t keep up with the field’s advances. One More Thing
ILLUSTRATIONS BY AMRITA MARINO Inside the race to make human sex cells in the lab An embryo forms when sperm meets egg. But what if we could start with other cells—if a blood sample or skin biopsy could be transformed into “artificial” sperm and eggs? What if those were all you needed to make a baby? That’s the promise of a radical approach to reproduction. Scientists have already created artificial eggs and sperm from mouse cells and used them to create mouse pups. Artificial human sex cells are next.

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Amazon claims its data centers are 7x more water-efficient than the industry average

“Amazon is on the leading edge, but it’s not a secret recipe,” he said. What sets the company apart is scale, execution, facility design, geographic mix, and its aggressive pursuit of energy goals. Others are doing the similar things, if through different avenues: Microsoft is investing in closed-loop cooling systems that dramatically reduce evaporative water loss. Google is heavily focused on reclaimed water and using AI to optimize data centers. Meta has long relied on outside-air cooling. And overall, the industry is moving toward liquid cooling for dense AI deployments, “which changes the water equation again,” said Kimball. One of the big variables is location: Climate influences water efficiency, so where a company builds its infrastructure is as important as its cooling methods. Further, power-consumptive AI changes the discussion, he emphasized; traditional enterprise workloads and dense AI training clusters create very different thermal profiles.

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IBM, ServiceNow team to bring AI to legacy enterprise systems

Decades of deeply interconnected legacy systems are the biggest barrier to moving fast on AI, the companies stated. Their pairings will take advantage of Big Blue’s expertise in working with large systems, such as its mainframe environment, and extensive legacy applications, along with ServiceNow’s workflow and agent management platforms. “Most enterprises have the ambition to deploy agentic AI, but lack the foundation to run it at scale,” said John Aisien, senior vice president and general manager, central product management, security and risk, at ServiceNow. “IBM brings the tooling to modernize the systems and extend ServiceNow’s data capabilities. ServiceNow provides the platform to put that data to work across every workflow in the business.” The vendors will focus on three core services that will be available in the second half of 2026: Application modernization: Scans and refactors legacy systems using tools like IBM Bob, Enterprise Application runtime (Java) and IBM watsonx.data to help enterprises bring existing applications into the AI era without starting from scratch. Autonomous infrastructure operations: Integrates Red Hat Ansible, IBM Bob, Instana, Hashicorp Terraform, and Hashicorp Vault into ServiceNow IT workflows to detect, remediate, and resolve issues before they affect the business. Data governance: Extends ServiceNow Workflow Data Fabric with IBM watsonx.data to unlock key capabilities like Data Quality, Observability, Master Data Management – employing the ServiceNow Data Catalog so that mutual customers can keep track of their AI-ready data. IBM and ServiceNow have a long-standing relationship, having worked together to help large enterprise customers implement everything from cloud computing, automation, and security to IT service management and observability technologies. 

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Marvell announces 102.4 Tbps switch silicon built for AI

Data movement has become an important concern in modern AI data centers. In the past, a cluster of a few servers could adequately handle back-office applications and databases. But with AI’s gigantic models, all sections of the data center need to move and receive data at high speeds. That requires a lot more power use than in the past. GPU- and XPU-based systems are approaching 120KW per rack, and switching and networking components consume approximately 15-25% of total rack power, making low-power switch silicon a strategic requirement. The Teralynx T100 delivers up to 25% lower power consumption than competitive solutions at a higher data rate. This enables AI infrastructures to deploy more accelerators within existing power envelopes without requiring additional power infrastructure. “As AI workloads evolve and scale exponentially, hyperscalers require network architectures that optimize latency, power and scalability simultaneously,” said Rishi Chugh, vice president and general manager of the data center switch business unit at Marvell, in a statement.

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The Download: soccer’s data renaissance and China’s big nuclear plans

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Inside soccer’s data renaissance Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the logic of surrendering possession seconds into a game. If you were Jesse Davis, though, you’d know that this play could be a prime setup to score. Davis is a professor of computer science at KU Leuven in Belgium and head of its Sports Analytics Lab, which has been at the vanguard of a data awakening in soccer. Using AI and data analytics, his team has uncovered hidden tactical patterns and challenged long-held assumptions about how the game should be played. Many of the insights hitting soccer pitches today trace back to the lab’s work.
Read the full story on how computer scientists are changing the world’s most popular sport. —Andrew Zaleski
This story is from the next edition of our magazine. Subscribe now to get a copy when it lands!  Why China is betting on big nuclear reactors In China, large reactors are coming together at a stunning pace. The country has nearly doubled its nuclear fleet since 2016, reaching nearly 60 gigawatts of total power capacity. Construction started on six new reactors in 2025, and two more have begun in 2026. It’s incredibly difficult to build the massive projects that dominate the nuclear industry today. Up-front investment can run well into the billions, and designs are complex. Yet China is moving ahead rapidly. By 2030, the country is on course to overtake both the US and the EU in installed nuclear capacity. Find out why bigger might be better when it comes to nuclear power. —Casey Crownhart This story is from The Spark, our weekly newsletter giving you the inside track on all things climate. Sign upto receive it in your inbox every Wednesday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Autonomous drones may have killed soldiers for the first timeA drone-maker said Russian troops were killed in a test. (New Scientist $)+ The US has used a sea drone to rescue a helicopter’s crew. (NYT $)+ Europe has a drone-filled vision for war. (MIT Technology Review) 2 Solar power has finally surpassed coal in US electricity generationIt’s the leading source of new power. (Guardian)+ Meanwhile, Trump is increasing coal investments. (BBC)+ The US is in a power struggle over coal. (MIT Technology Review) 3 Russia’s FSB has taken control of the country’s internetThe KGB successor now determines access. (Financial Times $)+ Rage over the restrictions is boiling over. (NYT $) 4 OpenAI says China is fomenting dissent over AI on ChatGPTIt claims to have foundinfluence operations on the bot. (Reuters $)+ The propaganda also targeted data centers and tariffs. (Politico $) 5 SpaceX’s listing price is expected to be revealed todayIt could lead to the biggest IPO ever. (NPR)+ And turn 4,400 employees into millionaires. (NYT $) 6 EPA scientists say they’re pushed to downplay risks of household productsThey’re under pressure to alter reviews of chemicals in products. (CNN) 7 Anthropic has walked back a policy that “sabotaged” researchIt would have limited Claude’s ability to develop competing AI models. (Wired $) 8 Congress wants in on the data center backlashMembers are jumping on the fervor with new policy plans. (Axios)+ Should we be moving data centers to space? (MIT Technology Review)
9 Your search results are getting sloptimizedCompanies are gaming the chatbot internet. (Atlantic $) 10 Scientists have discovered that humans prefer to walk anticlockwiseIt’s a discovery that could improve crowd and evacuation management. (Guardian)
Quote of the day “We’re the extracted and exploited colony of what is going to be one of the most highly valued entities in the world. People are going to die because of this pollution.”  —Justin Pearson, who represents portions of Memphis in the Tennessee House of Representatives, tells Wired why his constituents are angry about the SpaceX IPO. One More Thing Space is all yours—for a hefty price Space tourism is now officially a thing. But does it represent a future in which the average person could book a celestial flight and bask in the splendor of Earth from above? Or is this just another way for the ultrawealthy to flash their cash while simultaneously ignoring and exacerbating our existential problems down on the ground?  For now, such flights remain ridiculously far beyond the financial reach of most people. They also pose risks to both the passengers and the planet. But proponents of private spaceflight argue that it provides great opportunities for science and a sense of transcendence. Dive into the space tourism debate.
—Margaret O’Mara We can still have nice things A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.) + A rare antelope species was rediscovered in a remote Kenyan forest.+ This ingenious camping trailer pops up into a fully heated off-road bathroom.+ Iconic internet memes are now safely preserved in the British Film Institute’s moving image archive.+ NASA’s experimental aircraft has successfully broken the sound barrier in a big win for supersonic flight.

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Google DeepMind is worried about what happens when millions of agents start to interact

EXECUTIVE SUMMARY Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online. According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates a whole new class of risk. In an effort to address this, Google DeepMind—which made agent-based tools a centerpiece of Google I/O last month—has teamed up with several other organizations to announce a $10 million funding pot for researchers to study the behavior of multi-agent systems and come up with ways to prevent unsafe scenarios. Joining Google DeepMind are Schmidt Sciences, a philanthropic foundation set up by Eric and Wendy Schmidt; ARIA, the UK government’s moonshot agency; the Cooperative AI foundation, a UK-based nonprofit research outfit; and Google’s charitable arm, Google.org. I asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million. It’s no small sum, but it’s dwarfed by the budgets commanded by Google DeepMind’s own research teams.
The aim is to kick-start research outside tech companies, says Shah: “The strength of academia is that it can look really quite far into the future and do the kind of work that isn’t top of mind at industry labs.” “The main issue is that there just isn’t really a field of research for multi-agent safety yet,” he adds. “And we would like there to be.”
The concern is that as more and more AI agents get deployed and begin working together, we could hit a tipping point where imagined scenarios become real. “We see this with humanity, too,” says Shah. “Our institutions can accomplish things that no individual human can.” Shah thinks we have a few more months to go before agents are deployed throughout the economy in numbers that make potential risks a real concern. He wants to get ahead of that moment. Risky business What risks are we talking about, exactly? The possibilities that Shah and Fox have in mind mostly boil down to supercharged versions of bad things that happen on the internet already: scams, prompt injections (where an AI agent is fed malicious instructions, turning it into a self-guiding piece of malware), other forms of cyberattack. We look at what humans do now and ask what the agent version of that would be, says Shah.   “We’ve got this digital commons that is integral to how society works, and you really want to ensure that this doesn’t descend into just absolute anarchy,” says Fox. (I asked Shah if they were considering any worst-case scenarios more on the doomer end of the spectrum, such as widespread economic collapse. “Certainly not if we’re talking by the end of the year,” he said. That’s only six months away! He laughed. “Okay, a while after that.”) Shah and Fox both think that the only way to understand what might happen when large numbers of multi-agent systems interact with each other is to run realistic simulations. They want researchers to drop AI agents into sandboxes and study what they do. You can’t predict what’s going to happen by studying single agents, or even small groups of agents, in isolation. You can’t assume that AI agents underpinned by LLMs will always act rationally, says Fox. And the complexity comes from having huge numbers of interactions at once. Some researchers, including a team at Google DeepMind, have argued that artificial general intelligence (if possible at all) could come not from a single super-smart model but from a kind of agent hive mind, where the capabilities of the whole add up to more than the sum of its parts.  

Lack of trust Google DeepMind is not the only top AI firm warning about the risks of the technology it is building. A couple of weeks ago, Anthropic published guidelines for deploying AI agents based on an approach to cybersecurity known as zero trust, which starts with the assumption that a computer system is vulnerable, an agent is an attacker, and a breach will happen. Refael Angel, cofounder and CTO of Akeyless, a cybersecurity firm based in Tel Aviv, agrees that understanding the new risks introduced by agent-based systems is crucial.   Every approach to security in the past has assumed that the machine in question was software written by a human, doing fixed things on fixed paths, says Angel: “An agent breaks all of those assumptions. It reasons, it improvises, and it can be hijacked by a single sentence buried in a document it was asked to read.” Angel welcomes this new funding. “No single lab should author the safety standards everyone else has to trust,” he says. But he cautions that safety researchers can overlook boring problems that are already here in favor of more exotic hypothetical ones. And yet, Fox notes, risks that were hypothetical a few years ago are now very real: “The future’s come more quickly than perhaps expected.”

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Investing in multi-agent AI safety research

Scaling AI Safety Research for a Multi-Agent WorldFor the past decade, we’ve focused on making individual AI models more capable, helpful and safe. Today, Google DeepMind — together with Schmidt Sciences, the Cooperative AI Foundation, the Advanced Research and Invention Agency, and supported by Google.org — is announcing a new technical research funding call of up to $10M for researchers worldwide.As AI technology scales, we’re entering a new era. Soon, millions of AI agents — built by different organizations — will interact across digital environments, communicating, negotiating and transacting with one another.When these systems interact, they must do so safely and predictably. This shift creates a vital opportunity: we can strengthen the safety and stability of the entire AI ecosystem from the very beginning.The funding call focuses on the study of how large-scale multi-agent AI systems behave as a group, and how we can provide frameworks to understand and mitigate against potential risks. By empowering researchers globally, we aim to solve the “invisible” safety risks that arise when independent systems interact across different networks.Why the agent ecosystem mattersWhen large groups of AI agents interact, new collective behaviors and capabilities can emerge suddenly. Currently, we lack the tools to predict, measure and monitor these transitions. Most safety evaluations analyze models in isolation. However, as we and others have previously argued, interacting autonomous agents can produce complex, “emergent” behaviors that are difficult to anticipate.Because this is a new area of research, it is critical to understand how these shifts occur. For example, could they cause an unpredictable flurry of economic activity or lead to new security challenges? Understanding how to manage these system-wide behaviors is our core objective.Scaling the frontier of multi-agent safety researchAlthough foundational frameworks for multi-agent safety exist, the rapid evolution of these systems requires an immediate, large-scale expansion of research.Our 2025 research established a framework for understanding these interactions, while our recent work on AI Agent Traps explores vulnerabilities agents face in adversarial environments. Now, we must move faster. We are at a critical juncture where the complexity of multi-agent interactions is outpacing existing safety models.This funding call aims to accelerate progress by supporting a global network of independent researchers. A diverse community is essential to ensure safety standards are transparent and robust for everyone.This effort also advances the mission of Schmidt Sciences’ Science of Trustworthy AI and AI Agents programs, which support foundational work on understanding and mitigating risks from frontier AI systems, as well as ARIA’s Scaling Trust programme, which seeks to unlock new forms of cyber-physical multi-agent coordination.A collaborative call to actionNo single lab can solve multi-agent safety alone. We invite academic and independent researchers to submit proposals in four priority areas:Sandboxes and testbeds: Building realistic, reproducible environments to evaluate, compare and accelerate progress across all areas of multi-agent safety. This includes virtual marketplaces, simulated ecosystems and multi-organisation workflows.The science of agent networks: Understanding the safety-relevant properties of interacting agent populations, including investigating how collective capabilities emerge and scale, how networks fail or become volatile and how to detect dangerous, unexpected population-level properties.Strengthening agent infrastructure: Stress-testing the protocols for identity, reputation and commitment that are secure cross-platform agent interactions.Oversight and control: Developing methods to monitor deployed agent populations and mitigate collective harms at scale.How to participateWe invite researchers to review our call for proposals and join us in building a safe foundation for a multi-agent future.The deadline to apply is August 8, 2026, with awardees expected to be announced in Autumn 2026.For more details on technical requirements and the application process, visit our application portal.

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