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Petrobras makes oil discovery in Campos basin postsalt

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The Download: the future of AlphaFold, and chatbot privacy concerns

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. What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing AI to a secret project to predict the structures of proteins. He applied for a job.Just three years later, Jumper and CEO Demis Hassabis had led the development of an AI system called AlphaFold 2 that was able to predict the structures of proteins to within the width of an atom, matching lab-level accuracy, and doing it many times faster—returning results in hours instead of months.Last year, Jumper and Hassabis shared a Nobel Prize in chemistry. Now that the hype has died down, what impact has AlphaFold really had? How are scientists using it? And what’s next? I talked to Jumper (as well as a few other scientists) to find out. Read the full story. —Will Douglas Heaven
The State of AI: Chatbot companions and the future of our privacy
—Eileen Guo & Melissa Heikkilä Even if you don’t have an AI friend yourself, you probably know someone who does. A recent study found that one of the top uses of generative AI is companionship: On platforms like Character.AI, Replika, or Meta AI, people can create personalized chatbots to pose as the ideal friend, romantic partner, parent, therapist, or any other persona they can dream up.Some state governments are taking notice and starting to regulate companion AI. But tellingly, one area the laws fail to address is user privacy. Read the full story. This is the fourth edition of The State of AI, our subscriber-only collaboration between the Financial Times and MIT Technology Review. Sign up here to receive future editions every Monday.While subscribers to The Algorithm, our weekly AI newsletter, get access to an extended excerpt, subscribers to the MIT Technology Review are able to read the whole thing on our site. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Donald Trump has signed an executive order to boost AI innovation The “Genesis Mission” will try to speed up the rate of scientific breakthroughs. (Politico)+ The order directs government science agencies to aggressively embrace AI. (Axios)+ It’s also being touted as a way to lower energy prices. (CNN) 2 Anthropic’s new AI model is designed to be better at codingWe’ll discover just how much better once Claude Opus 4.5 has been properly put through its paces. (Bloomberg $)+ It reportedly outscored human candidates in an internal engineering test. (VentureBeat)+ What is vibe coding, exactly? (MIT Technology Review)

3 The AI boom is keeping India hooked on coalLeaving little chance of cleaning up Mumbai’s famously deadly pollution. (The Guardian)+ It’s lethal smog season in New Delhi right now. (CNN)+ The data center boom in the desert. (MIT Technology Review)4 Teenagers are losing access to their AI companionsCharacter.AI is limiting the amount of time underage users can spend interacting with its chatbots. (WSJ $)+ The majority of the company’s users are young and female. (CNBC)+ One of OpenAI’s key safety leaders is leaving the company. (Wired $)+ The looming crackdown on AI companionship. (MIT Technology Review)5 Weight-loss drugs may be riskier during pregnancy Recipients are more likely to deliver babies prematurely. (WP $)+ The pill version of Ozempic failed to halt Alzheimer’s progression in a trial. (The Guardian)+ We’re learning more about what weight-loss drugs do to the body. (MIT Technology Review)6 OpenAI is launching a new “shopping research” toolAll the better to track your consumer spending with. (CNBC)+ It’s designed for price comparisons and compiling buyer’s guides. (The Information $)+ The company is clearly aiming for a share of Amazon’s e-commerce pie. (Semafor) 7 LA residents displaced by wildfires are moving into prefab housing 🏠Their new homes are cheap to build and simple to install. (Fast Company $)+ How AI can help spot wildfires. (MIT Technology Review) 8 Why former Uber drivers are undertaking the world’s toughest driving testThey’re taking the Knowledge—London’s gruelling street test that bypasses GPS. (NYT $)9 How to spot a fake batteryGreat, one more thing to worry about. (IEEE Spectrum) 10 Where is the Trump Mobile?Almost six months after it was announced, there’s no sign of it. (CNBC) Quote of the day “AI is a tsunami that is gonna wipe out everyone. So I’m handing out surfboards.” —Filmmaker PJ Accetturo, tells Ars Technica why he’s writing a newsletter advising fellow creatives how to pivot to AI tools.
One more thing
The second wave of AI coding is hereAsk people building generative AI what generative AI is good for right now—what they’re really fired up about—and many will tell you: coding.Everyone from established AI giants to buzzy startups is promising to take coding assistants to the next level. This next generation can prototype, test, and debug code for you. The upshot is that developers could essentially turn into managers, who may spend more time reviewing and correcting code written by a model than writing it. But there’s more. Many of the people building generative coding assistants think that they could be a fast track to artificial general intelligence, the hypothetical superhuman technology that a number of top firms claim to have in their sights. Read the full story. —Will Douglas Heaven 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.) + If you’re planning a visit to Istanbul here’s hoping you like cats—the city can’t get enough of them.+ Rest in power reggae icon Jimmy Cliff.+ Did you know the ancient Egyptians had a pretty accurate way of testing for pregnancy?+ As our readers in the US start prepping for Thanksgiving, spare a thought for Astoria the lovelorn turkey 🦃

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Ukraine Hits Russian Black Sea Oil Infrastructure Again

Ukraine attacked key Russian key energy infrastructure on the Black Sea for a third time this month just as President Donald Trump cited progress on his peace proposal. “Units of the Defense Forces of Ukraine, in close cooperation, successfully hit the Sheskharis oil terminal in Novorossiysk as well as the Tuapse oil refinery,” Ukraine’s General Staff said on Tuesday in a Telegram statement.  The claims could not be independently verified. Russia’s crude-pipeline operator Transneft PJSC which runs Sheskharis, and Rosneft PJSC, which owns the Tuapse plant, did not immediately respond to a requests for comment.  Ukraine has intensified its attacks on Russia’s energy facilities — from refineries to crude pipelines and oil-loading terminals – in a move to reduce the Kremlin’s revenue and hinder its ability to finance the war. At the same time, Russia has been repeatedly hitting Ukraine’s civilian population and targeting infrastructure such as power plants and utilities ahead of the winter season.   It’s the third time Ukrainian drones attacked Russia’s Black-Sea oil facilities in November alone. The previous attacks on Nov.2 and Nov.14 caused temporary halts to operations at Sheskharis and at the Tuapse refinery.  Russia’s Defense Ministry said it had intercepted and downed 116 Ukrainian drones over the Black Sea and another 76 over the Krasnodar region, where the bulk of Russia’s southern energy infrastructure is located. The Governor of the Krasnodar region said in a post on Telegram that the situation in the port city of Novorossiysk was “the most complicated.” The strikes occurred as US Army Secretary Dan Driscoll met with Russian officials in Abu Dhabi on Monday and Tuesday, according to a US official. President Trump suggested in a social media post that “big progress” was being made on the peace deal drafted earlier this month. The Sheskharis facility in the port of Novorossiysk is Russia’s main

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Fluent Bit vulnerabilities could enable full cloud takeover

Attackers could flood monitoring systems with false or misleading events, hide alerts in the noise, or even hijack the telemetry stream entirely, Katz said. The issue is now tracked as CVE-2025-12969 and awaits a severity valuation. Almost equally troubling are other flaws in the “tag” mechanism, which determines how the records are routed and processed. One bug (CVE-2025-12978) allows an attacker who can guess just the first character of the tag key to impersonate trusted tags and reroute logs or bypass filters. Another (CVE-2025-12977) allows unsanitized tag values (including newlines, directory-traversal strings, and control characters), which can corrupt downstream parsing, enable file-system writes, or allow further escalation. According to the blog, AWS has secured all of its internal systems that rely on Fluentbit through the Fluentbit project and released Fluentbit version 4.1.1. AWS did not immediately respond to CSO’s request for comment. File writes, container overflow, and full agent takeover Oligo also disclosed a chain of remote code execution (RCE) and path traversal vulnerabilities affecting the tool. CVE-2025-12972 targets the “out_file“ output plugin. When Tag values are user-controlled, and no fixed File parameter is set, attackers can abuse the Tag value (e.g.,”../“) to cause path-traversal file writes or overwrites, ultimately letting them plant malicious files or gain RCE. “Our research found that some of these vulnerabilities, such as CVE 2025-12972, have left cloud environments vulnerable for over 8 years,” Katz noted. In the Docker input plugin (in-Docker), CVE-2025-12970 shows a stack buffer overflow. If an attacker names a container with an excessively long name, the buffer overflow lets them crash the agent or execute code. Oligo warned that the flaw allows attackers to seize the logging agent, hide their activity, plant backdoors, and pivot further into the system.

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What Price Will USA NatGas Average This Winter?

In its latest short term energy outlook (STEO), which was released on November 6, the U.S. Energy Information Administration (EIA) revealed that it sees the U.S. Henry Hub spot price averaging $3.90 per million British thermal units (MMBtu) over the winter season, which it pointed out runs from November to March. The EIA also projected in its latest STEO that, during this time, the U.S. Henry Hub spot price will peak in January at $4.25 per MMBtu. In its November STEO, the EIA forecast that the U.S. Henry Hub spot price will average $3.47 per MMBtu overall in 2025 and $4.02 per MMBtu overall in 2026. The EIA projected that the U.S. Henry Hub spot price would come in at $3.42 per MMBtu in 2025 and $3.94 per MMBtu in 2026 in its previous STEO, which was released in October. Both STEOs showed that the 2024 U.S. Henry Hub spot price averaged $2.19 per MMBtu. The EIA’s latest STEO projected that the commodity will come in at $3.51 per MMBtu in the fourth quarter of this year, $3.98 per MMBtu in the first quarter of next year, $3.38 per MMBtu in the second quarter of 2026, $3.97 per MMBtu in the third quarter, and $4.73 per MMBtu in the fourth quarter of 2026. In its October STEO, the EIA forecast that the U.S. Henry Hub spot price would average $3.33 per MMBtu in the fourth quarter of 2025, $3.86 per MMBtu in the first quarter of next year, $3.31 per MMBtu in the second quarter, $3.91 per MMBtu in the third quarter, and $4.68 per MMBtu in the fourth quarter.   NatGas in Winter In its latest STEO, the EIA noted that “natural gas prices typically rise during the winter as demand for space heating increases and consumption of natural

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Aligning VMware migration with business continuity

In partnership withPresidio For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation of these rare disasters, IT teams built playbooks, ran annual tests, crossed their fingers, and hoped they’d never have to use them. In recent years, an even more persistent threat has emerged. Cyber incidents, particularly ransomware, are now more common—and often, more damaging—than physical disasters. In a recent survey of more than 500 CISOs, almost three-quarters (72%) said their organization had dealt with ransomware in the previous year. Earlier in 2025, ransomware attack rates on enterprises reached record highs. Mark Vaughn, senior director of the virtualization practice at Presidio, has witnessed the trend firsthand. “When I speak at conferences, I’ll ask the room, ‘How many people have been impacted?’ For disaster recovery, you usually get a few hands,” he says. “But a little over a year ago, I asked how many people in the room had been hit by ransomware, and easily two-thirds of the hands went up.” Download the full article.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. This content was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

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Petrobras makes oil discovery in Campos basin postsalt

@import url(‘https://fonts.googleapis.com/css2?family=Inter:[email protected]&display=swap’); a { color: var(–color-primary-main); } .ebm-page__main h1, .ebm-page__main h2, .ebm-page__main h3, .ebm-page__main h4, .ebm-page__main h5, .ebm-page__main h6 { font-family: Inter; } body { line-height: 150%; letter-spacing: 0.025em; font-family: Inter; } button, .ebm-button-wrapper { font-family: Inter; } .label-style { text-transform: uppercase; color: var(–color-grey); font-weight: 600; font-size: 0.75rem; } .caption-style { font-size: 0.75rem; opacity: .6; } #onetrust-pc-sdk [id*=btn-handler], #onetrust-pc-sdk [class*=btn-handler] { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-policy a, #onetrust-pc-sdk a, #ot-pc-content a { color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-pc-sdk .ot-active-menu { border-color: #c19a06 !important; } #onetrust-consent-sdk #onetrust-accept-btn-handler, #onetrust-banner-sdk #onetrust-reject-all-handler, #onetrust-consent-sdk #onetrust-pc-btn-handler.cookie-setting-link { background-color: #c19a06 !important; border-color: #c19a06 !important; } #onetrust-consent-sdk .onetrust-pc-btn-handler { color: #c19a06 !important; border-color: #c19a06 !important; } Petrobras discovered hydrocarbons in an exploratory well in the Southwest block of Tartaruga Verde in the Campos basin postsalt, 108 km off the coast of Campos dos Goytacazes, Rio de Janeiro, Brazil, in 734 m of water. Well 4-BRSA-1403D-RJS has been completed, and the oil-bearing interval was verified through electrical profiles, gas indications, and fluid sampling, the operator said in a release Nov. 17. Petrobras will send the samples to a lab for analysis to help characertize reservoir conditions and fluids found with the aim of further evaluating the area’s potential.  Petrobras is operator of the block with 100% interest.  

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The Download: the future of AlphaFold, and chatbot privacy concerns

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. What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing AI to a secret project to predict the structures of proteins. He applied for a job.Just three years later, Jumper and CEO Demis Hassabis had led the development of an AI system called AlphaFold 2 that was able to predict the structures of proteins to within the width of an atom, matching lab-level accuracy, and doing it many times faster—returning results in hours instead of months.Last year, Jumper and Hassabis shared a Nobel Prize in chemistry. Now that the hype has died down, what impact has AlphaFold really had? How are scientists using it? And what’s next? I talked to Jumper (as well as a few other scientists) to find out. Read the full story. —Will Douglas Heaven
The State of AI: Chatbot companions and the future of our privacy
—Eileen Guo & Melissa Heikkilä Even if you don’t have an AI friend yourself, you probably know someone who does. A recent study found that one of the top uses of generative AI is companionship: On platforms like Character.AI, Replika, or Meta AI, people can create personalized chatbots to pose as the ideal friend, romantic partner, parent, therapist, or any other persona they can dream up.Some state governments are taking notice and starting to regulate companion AI. But tellingly, one area the laws fail to address is user privacy. Read the full story. This is the fourth edition of The State of AI, our subscriber-only collaboration between the Financial Times and MIT Technology Review. Sign up here to receive future editions every Monday.While subscribers to The Algorithm, our weekly AI newsletter, get access to an extended excerpt, subscribers to the MIT Technology Review are able to read the whole thing on our site. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Donald Trump has signed an executive order to boost AI innovation The “Genesis Mission” will try to speed up the rate of scientific breakthroughs. (Politico)+ The order directs government science agencies to aggressively embrace AI. (Axios)+ It’s also being touted as a way to lower energy prices. (CNN) 2 Anthropic’s new AI model is designed to be better at codingWe’ll discover just how much better once Claude Opus 4.5 has been properly put through its paces. (Bloomberg $)+ It reportedly outscored human candidates in an internal engineering test. (VentureBeat)+ What is vibe coding, exactly? (MIT Technology Review)

3 The AI boom is keeping India hooked on coalLeaving little chance of cleaning up Mumbai’s famously deadly pollution. (The Guardian)+ It’s lethal smog season in New Delhi right now. (CNN)+ The data center boom in the desert. (MIT Technology Review)4 Teenagers are losing access to their AI companionsCharacter.AI is limiting the amount of time underage users can spend interacting with its chatbots. (WSJ $)+ The majority of the company’s users are young and female. (CNBC)+ One of OpenAI’s key safety leaders is leaving the company. (Wired $)+ The looming crackdown on AI companionship. (MIT Technology Review)5 Weight-loss drugs may be riskier during pregnancy Recipients are more likely to deliver babies prematurely. (WP $)+ The pill version of Ozempic failed to halt Alzheimer’s progression in a trial. (The Guardian)+ We’re learning more about what weight-loss drugs do to the body. (MIT Technology Review)6 OpenAI is launching a new “shopping research” toolAll the better to track your consumer spending with. (CNBC)+ It’s designed for price comparisons and compiling buyer’s guides. (The Information $)+ The company is clearly aiming for a share of Amazon’s e-commerce pie. (Semafor) 7 LA residents displaced by wildfires are moving into prefab housing 🏠Their new homes are cheap to build and simple to install. (Fast Company $)+ How AI can help spot wildfires. (MIT Technology Review) 8 Why former Uber drivers are undertaking the world’s toughest driving testThey’re taking the Knowledge—London’s gruelling street test that bypasses GPS. (NYT $)9 How to spot a fake batteryGreat, one more thing to worry about. (IEEE Spectrum) 10 Where is the Trump Mobile?Almost six months after it was announced, there’s no sign of it. (CNBC) Quote of the day “AI is a tsunami that is gonna wipe out everyone. So I’m handing out surfboards.” —Filmmaker PJ Accetturo, tells Ars Technica why he’s writing a newsletter advising fellow creatives how to pivot to AI tools.
One more thing
The second wave of AI coding is hereAsk people building generative AI what generative AI is good for right now—what they’re really fired up about—and many will tell you: coding.Everyone from established AI giants to buzzy startups is promising to take coding assistants to the next level. This next generation can prototype, test, and debug code for you. The upshot is that developers could essentially turn into managers, who may spend more time reviewing and correcting code written by a model than writing it. But there’s more. Many of the people building generative coding assistants think that they could be a fast track to artificial general intelligence, the hypothetical superhuman technology that a number of top firms claim to have in their sights. Read the full story. —Will Douglas Heaven 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.) + If you’re planning a visit to Istanbul here’s hoping you like cats—the city can’t get enough of them.+ Rest in power reggae icon Jimmy Cliff.+ Did you know the ancient Egyptians had a pretty accurate way of testing for pregnancy?+ As our readers in the US start prepping for Thanksgiving, spare a thought for Astoria the lovelorn turkey 🦃

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Ukraine Hits Russian Black Sea Oil Infrastructure Again

Ukraine attacked key Russian key energy infrastructure on the Black Sea for a third time this month just as President Donald Trump cited progress on his peace proposal. “Units of the Defense Forces of Ukraine, in close cooperation, successfully hit the Sheskharis oil terminal in Novorossiysk as well as the Tuapse oil refinery,” Ukraine’s General Staff said on Tuesday in a Telegram statement.  The claims could not be independently verified. Russia’s crude-pipeline operator Transneft PJSC which runs Sheskharis, and Rosneft PJSC, which owns the Tuapse plant, did not immediately respond to a requests for comment.  Ukraine has intensified its attacks on Russia’s energy facilities — from refineries to crude pipelines and oil-loading terminals – in a move to reduce the Kremlin’s revenue and hinder its ability to finance the war. At the same time, Russia has been repeatedly hitting Ukraine’s civilian population and targeting infrastructure such as power plants and utilities ahead of the winter season.   It’s the third time Ukrainian drones attacked Russia’s Black-Sea oil facilities in November alone. The previous attacks on Nov.2 and Nov.14 caused temporary halts to operations at Sheskharis and at the Tuapse refinery.  Russia’s Defense Ministry said it had intercepted and downed 116 Ukrainian drones over the Black Sea and another 76 over the Krasnodar region, where the bulk of Russia’s southern energy infrastructure is located. The Governor of the Krasnodar region said in a post on Telegram that the situation in the port city of Novorossiysk was “the most complicated.” The strikes occurred as US Army Secretary Dan Driscoll met with Russian officials in Abu Dhabi on Monday and Tuesday, according to a US official. President Trump suggested in a social media post that “big progress” was being made on the peace deal drafted earlier this month. The Sheskharis facility in the port of Novorossiysk is Russia’s main

Read More »

Fluent Bit vulnerabilities could enable full cloud takeover

Attackers could flood monitoring systems with false or misleading events, hide alerts in the noise, or even hijack the telemetry stream entirely, Katz said. The issue is now tracked as CVE-2025-12969 and awaits a severity valuation. Almost equally troubling are other flaws in the “tag” mechanism, which determines how the records are routed and processed. One bug (CVE-2025-12978) allows an attacker who can guess just the first character of the tag key to impersonate trusted tags and reroute logs or bypass filters. Another (CVE-2025-12977) allows unsanitized tag values (including newlines, directory-traversal strings, and control characters), which can corrupt downstream parsing, enable file-system writes, or allow further escalation. According to the blog, AWS has secured all of its internal systems that rely on Fluentbit through the Fluentbit project and released Fluentbit version 4.1.1. AWS did not immediately respond to CSO’s request for comment. File writes, container overflow, and full agent takeover Oligo also disclosed a chain of remote code execution (RCE) and path traversal vulnerabilities affecting the tool. CVE-2025-12972 targets the “out_file“ output plugin. When Tag values are user-controlled, and no fixed File parameter is set, attackers can abuse the Tag value (e.g.,”../“) to cause path-traversal file writes or overwrites, ultimately letting them plant malicious files or gain RCE. “Our research found that some of these vulnerabilities, such as CVE 2025-12972, have left cloud environments vulnerable for over 8 years,” Katz noted. In the Docker input plugin (in-Docker), CVE-2025-12970 shows a stack buffer overflow. If an attacker names a container with an excessively long name, the buffer overflow lets them crash the agent or execute code. Oligo warned that the flaw allows attackers to seize the logging agent, hide their activity, plant backdoors, and pivot further into the system.

Read More »

What Price Will USA NatGas Average This Winter?

In its latest short term energy outlook (STEO), which was released on November 6, the U.S. Energy Information Administration (EIA) revealed that it sees the U.S. Henry Hub spot price averaging $3.90 per million British thermal units (MMBtu) over the winter season, which it pointed out runs from November to March. The EIA also projected in its latest STEO that, during this time, the U.S. Henry Hub spot price will peak in January at $4.25 per MMBtu. In its November STEO, the EIA forecast that the U.S. Henry Hub spot price will average $3.47 per MMBtu overall in 2025 and $4.02 per MMBtu overall in 2026. The EIA projected that the U.S. Henry Hub spot price would come in at $3.42 per MMBtu in 2025 and $3.94 per MMBtu in 2026 in its previous STEO, which was released in October. Both STEOs showed that the 2024 U.S. Henry Hub spot price averaged $2.19 per MMBtu. The EIA’s latest STEO projected that the commodity will come in at $3.51 per MMBtu in the fourth quarter of this year, $3.98 per MMBtu in the first quarter of next year, $3.38 per MMBtu in the second quarter of 2026, $3.97 per MMBtu in the third quarter, and $4.73 per MMBtu in the fourth quarter of 2026. In its October STEO, the EIA forecast that the U.S. Henry Hub spot price would average $3.33 per MMBtu in the fourth quarter of 2025, $3.86 per MMBtu in the first quarter of next year, $3.31 per MMBtu in the second quarter, $3.91 per MMBtu in the third quarter, and $4.68 per MMBtu in the fourth quarter.   NatGas in Winter In its latest STEO, the EIA noted that “natural gas prices typically rise during the winter as demand for space heating increases and consumption of natural

Read More »

Aligning VMware migration with business continuity

In partnership withPresidio For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation of these rare disasters, IT teams built playbooks, ran annual tests, crossed their fingers, and hoped they’d never have to use them. In recent years, an even more persistent threat has emerged. Cyber incidents, particularly ransomware, are now more common—and often, more damaging—than physical disasters. In a recent survey of more than 500 CISOs, almost three-quarters (72%) said their organization had dealt with ransomware in the previous year. Earlier in 2025, ransomware attack rates on enterprises reached record highs. Mark Vaughn, senior director of the virtualization practice at Presidio, has witnessed the trend firsthand. “When I speak at conferences, I’ll ask the room, ‘How many people have been impacted?’ For disaster recovery, you usually get a few hands,” he says. “But a little over a year ago, I asked how many people in the room had been hit by ransomware, and easily two-thirds of the hands went up.” Download the full article.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. This content was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

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Ukraine Hits Russian Black Sea Oil Infrastructure Again

Ukraine attacked key Russian key energy infrastructure on the Black Sea for a third time this month just as President Donald Trump cited progress on his peace proposal. “Units of the Defense Forces of Ukraine, in close cooperation, successfully hit the Sheskharis oil terminal in Novorossiysk as well as the Tuapse oil refinery,” Ukraine’s General Staff said on Tuesday in a Telegram statement.  The claims could not be independently verified. Russia’s crude-pipeline operator Transneft PJSC which runs Sheskharis, and Rosneft PJSC, which owns the Tuapse plant, did not immediately respond to a requests for comment.  Ukraine has intensified its attacks on Russia’s energy facilities — from refineries to crude pipelines and oil-loading terminals – in a move to reduce the Kremlin’s revenue and hinder its ability to finance the war. At the same time, Russia has been repeatedly hitting Ukraine’s civilian population and targeting infrastructure such as power plants and utilities ahead of the winter season.   It’s the third time Ukrainian drones attacked Russia’s Black-Sea oil facilities in November alone. The previous attacks on Nov.2 and Nov.14 caused temporary halts to operations at Sheskharis and at the Tuapse refinery.  Russia’s Defense Ministry said it had intercepted and downed 116 Ukrainian drones over the Black Sea and another 76 over the Krasnodar region, where the bulk of Russia’s southern energy infrastructure is located. The Governor of the Krasnodar region said in a post on Telegram that the situation in the port city of Novorossiysk was “the most complicated.” The strikes occurred as US Army Secretary Dan Driscoll met with Russian officials in Abu Dhabi on Monday and Tuesday, according to a US official. President Trump suggested in a social media post that “big progress” was being made on the peace deal drafted earlier this month. The Sheskharis facility in the port of Novorossiysk is Russia’s main

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What Price Will USA NatGas Average This Winter?

In its latest short term energy outlook (STEO), which was released on November 6, the U.S. Energy Information Administration (EIA) revealed that it sees the U.S. Henry Hub spot price averaging $3.90 per million British thermal units (MMBtu) over the winter season, which it pointed out runs from November to March. The EIA also projected in its latest STEO that, during this time, the U.S. Henry Hub spot price will peak in January at $4.25 per MMBtu. In its November STEO, the EIA forecast that the U.S. Henry Hub spot price will average $3.47 per MMBtu overall in 2025 and $4.02 per MMBtu overall in 2026. The EIA projected that the U.S. Henry Hub spot price would come in at $3.42 per MMBtu in 2025 and $3.94 per MMBtu in 2026 in its previous STEO, which was released in October. Both STEOs showed that the 2024 U.S. Henry Hub spot price averaged $2.19 per MMBtu. The EIA’s latest STEO projected that the commodity will come in at $3.51 per MMBtu in the fourth quarter of this year, $3.98 per MMBtu in the first quarter of next year, $3.38 per MMBtu in the second quarter of 2026, $3.97 per MMBtu in the third quarter, and $4.73 per MMBtu in the fourth quarter of 2026. In its October STEO, the EIA forecast that the U.S. Henry Hub spot price would average $3.33 per MMBtu in the fourth quarter of 2025, $3.86 per MMBtu in the first quarter of next year, $3.31 per MMBtu in the second quarter, $3.91 per MMBtu in the third quarter, and $4.68 per MMBtu in the fourth quarter.   NatGas in Winter In its latest STEO, the EIA noted that “natural gas prices typically rise during the winter as demand for space heating increases and consumption of natural

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Aramco Makes 17 Deals with ‘Major’ USA Cos Worth $30B+

Saudi Aramco announced, in a statement posted on its site recently, 17 Memoranda of Understanding (MoUs) and agreements “with a potential total value of more than $30 billion” with “major” companies in the United States. The deals were made through Aramco Group Companies, Aramco pointed out in the statement, adding that these MoUs and agreements build on the 34 MoUs and agreements announced with U.S. companies in May, which Aramco highlighted had a “potential total value of approximately $90 billion”. In the statement, Aramco noted that its latest MoUs and agreements are expected to support its strategic growth objectives while enhancing shareholder value. It said the deals involve collaborations and partnerships covering a range of activities, including Liquefied Natural Gas (LNG), financial services, advanced materials manufacturing, and procurement of materials and services.  Aramco highlighted that its latest deals coincide with the U.S.-Saudi Investment Forum 2025 in Washington, DC. The company revealed in the statement that its new MoUs and agreements include an LNG MoU with MidOcean Energy “related to potential investment in the Lake Charles Liquefied Natural Gas Project” and an LNG deal with Commonwealth LNG “related to a liquefaction project located in Louisiana, U.S., and Aramco Trading’s potential purchase of LNG and gas”. Under a subhead of “procurement of materials and services” in the statement, Aramco pointed out several contracts and agreements “reflecting relationships with strategic U.S. suppliers”. Companies listed here included SLB, Baker Hughes, McDermott, Halliburton, NESR, KBR, Flowserve, NOV, Worley, and Fluor.   “Since the 1930s, U.S. firms have played a major role in supporting the company’s success,” Aramco President and CEO Amin H. Nasser said in the statement. “These relationships have contributed to the first production of oil in Saudi Arabia, the growth of our gas business, an expansion of our integrated downstream operations, the development of advanced

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Lukoil Gas Stations in USA See Disruptions for Card Payments

Lukoil gasoline stations in the US are experiencing major issues with card payments, forcing some franchise owners to consider asking more customers to use cash as parent company Lukoil PJSC, the Russian oil giant, faces US sanctions. There are two separate problems for the US service stations, mainly located in New Jersey. First, franchise owners aren’t able to access revenue from payments made with credit, debit and prepaid cards through Lukoil’s system, according to Eric Blomgren, executive director of the New Jersey Gasoline, C-Store, Automotive Association. Second, the stations are also running into issues processing payments made with some cards, including those issued by American Express Co., Blomgren said.  Several Lukoil gas-station employees that spoke with Bloomberg News confirmed that their locations are seeing both problems. Some franchises are encouraging customers to use cash because of the issues, and at least one has considered switching to cash only, according to the employees who asked not to be named because they aren’t authorized to speak publicly.  Lukoil didn’t respond to requests for comment.  The situation at the US Lukoil gas stations underscores how the sanctions process can unleash chaos for multinational businesses. In New Jersey, Lukoil-branded franchises account for about 5% of all gas stations in the state. The payment issues come just ahead of the Thanksgiving holiday, one of the busiest travel periods of the year. Lukoil’s gas stations in the US have been granted a temporary license allowing payments to process through Dec. 13, according to a statement from the Office of Foreign Assets Control. But it’s unclear how business operations will proceed once the authorization period expires. The US government in October announced sanctions on Russia’s two largest crude oil producers, Rosneft PJSC and Lukoil. As much as 85% of sales at Lukoil stations are made with cards, creating a “big problem”

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Energy Department Launches ‘Genesis Mission’ to Transform American Science and Innovation Through the AI Computing Revolution

WASHINGTON—President Trump today issued an Executive Order to launch the Genesis Mission, a historic national effort led by the Department of Energy. The Genesis Mission will transform American science and innovation through the power of artificial intelligence (AI), strengthening the nation’s technological leadership and global competitiveness.   The ambitious mission will harness the current AI and advanced computing revolution to double the productivity and impact of American science and engineering within a decade. It will deliver decisive breakthroughs to secure American energy dominance, accelerate scientific discovery, and strengthen national security.   “Throughout history, from the Manhattan Project to the Apollo mission, our nation’s brightest minds and industries have answered the call when their nation needed them,” said U.S. Secretary of Energy Chris Wright. “Today, the United States is calling on them once again. Under President Trump’s leadership, the Genesis Mission will unleash the full power of our National Laboratories, supercomputers, and dataresources to ensure that America is the global leader in artificial intelligence and to usher in a new golden era of American discovery.”  The announcement builds on President Trump’s Executive Order Removing Barriers to American Leadership In Artificial Intelligence and advances his America’s AI Action Plan released earlier this year—a directive to remove barriers to innovation, reduce dependence on foreign adversaries, and unleash the full strength of America’s scientific enterprise.   Secretary Wright has designated Under Secretary for Science Darío Gil to lead the initiative. The Genesis Mission will mobilize the Department of Energy’s 17 National Laboratories, industry, and academia to build an integrated discovery platform.   The platform will connect the world’s best supercomputers, AI systems, and next-generation quantum systems with the most advanced scientific instruments in the nation. Once complete, the platform will be the world’s most complex and powerful scientific instrument ever built. It will draw on the expertise of

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Oil Closes the Day Up as Equities Rally

Oil pushed higher as equities rose and traders weighed the prospect of a Ukraine-Russia peace deal that could deflate political risk from an already well-supplied market. West Texas Intermediate rose about 1.3% to settle near $59 per barrel, snapping a three day losing streak as crude ticks up following its biggest weekly loss since early October.  While oil followed other risk assets higher, traders awaited further news after Ukraine and its European allies signaled that key sticking points remained in US-brokered peace talks to end Russia’s invasion, even as senior officials hailed progress in winning more favorable terms for Kyiv. “Something good just may be happening,” President Donald Trump wrote in a Truth Social post about the talks.  An end to the hostiltites would also take some risk premium out of the market. “Oil markets are moving in sympathy with equities and awaiting on more news of the Ukraine/Russia talks” said Dennis Kissler, senior vice president for trading at BOK Financial. He expects continued choppy trading and some short covering into the holiday period.  Crude has slumped this year, with futures on course for a fourth monthly loss in November, in what would be the longest losing run since 2023. The decline has been driven by expanded global output, including from OPEC+, with the International Energy Agency forecasting a record surplus for 2026. Traders are monitoring whether a deal on Ukraine will materialize, and if sanctions on Russia will be lifted — developments that could inject more supply. “We should expect a nervous oil market ahead of Thanksgiving on Thursday,” said Arne Lohmann Rasmussen, chief analyst at A/S Global Risk Management. “Several factors point to a peace agreement or possibly a ceasefire moving closer over the weekend, which supports further price declines this week.” Ukraine President Volodymyr Zelenskiy said Monday

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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 State of AI: How war will be changed forever

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution reshaping global power. In this conversation, Helen Warrell, FT investigations reporter and former defense and security editor, and James O’Donnell, MIT Technology Review’s senior AI reporter, consider the ethical quandaries and financial incentives around AI’s use by the military. Helen Warrell, FT investigations reporter  It is July 2027, and China is on the brink of invading Taiwan. Autonomous drones with AI targeting capabilities are primed to overpower the island’s air defenses as a series of crippling AI-generated cyberattacks cut off energy supplies and key communications. In the meantime, a vast disinformation campaign enacted by an AI-powered pro-Chinese meme farm spreads across global social media, deadening the outcry at Beijing’s act of aggression.
Scenarios such as this have brought dystopian horror to the debate about the use of AI in warfare. Military commanders hope for a digitally enhanced force that is faster and more accurate than human-directed combat. But there are fears that as AI assumes an increasingly central role, these same commanders will lose control of a conflict that escalates too quickly and lacks ethical or legal oversight. Henry Kissinger, the former US secretary of state, spent his final years warning about the coming catastrophe of AI-driven warfare. Grasping and mitigating these risks is the military priority—some would say the “Oppenheimer moment”—of our age. One emerging consensus in the West is that decisions around the deployment of nuclear weapons should not be outsourced to AI. UN secretary-general António Guterres has gone further, calling for an outright ban on fully autonomous lethal weapons systems. It is essential that regulation keep pace with evolving technology. But in the sci-fi-fueled excitement, it is easy to lose track of what is actually possible. As researchers at Harvard’s Belfer Center point out, AI optimists often underestimate the challenges of fielding fully autonomous weapon systems. It is entirely possible that the capabilities of AI in combat are being overhyped.
Anthony King, Director of the Strategy and Security Institute at the University of Exeter and a key proponent of this argument, suggests that rather than replacing humans, AI will be used to improve military insight. Even if the character of war is changing and remote technology is refining weapon systems, he insists, “the complete automation of war itself is simply an illusion.” Of the three current military use cases of AI, none involves full autonomy. It is being developed for planning and logistics, cyber warfare (in sabotage, espionage, hacking, and information operations; and—most controversially—for weapons targeting, an application already in use on the battlefields of Ukraine and Gaza. Kyiv’s troops use AI software to direct drones able to evade Russian jammers as they close in on sensitive sites. The Israel Defense Forces have developed an AI-assisted decision support system known as Lavender, which has helped identify around 37,000 potential human targets within Gaza.  FT/MIT TECHNOLOGY REVIEW | ADOBE STOCK There is clearly a danger that the Lavender database replicates the biases of the data it is trained on. But military personnel carry biases too. One Israeli intelligence officer who used Lavender claimed to have more faith in the fairness of a “statistical mechanism” than that of a grieving soldier. Tech optimists designing AI weapons even deny that specific new controls are needed to control their capabilities. Keith Dear, a former UK military officer who now runs the strategic forecasting company Cassi AI, says existing laws are more than sufficient: “You make sure there’s nothing in the training data that might cause the system to go rogue … when you are confident you deploy it—and you, the human commander, are responsible for anything they might do that goes wrong.” It is an intriguing thought that some of the fear and shock about use of AI in war may come from those who are unfamiliar with brutal but realistic military norms. What do you think, James? Is some opposition to AI in warfare less about the use of autonomous systems and really an argument against war itself?  James O’Donnell replies: Hi Helen,  One thing I’ve noticed is that there’s been a drastic shift in attitudes of AI companies regarding military applications of their products. In the beginning of 2024, OpenAI unambiguously forbade the use of its tools for warfare, but by the end of the year, it had signed an agreement with Anduril to help it take down drones on the battlefield. 

This step—not a fully autonomous weapon, to be sure, but very much a battlefield application of AI—marked a drastic change in how much tech companies could publicly link themselves with defense.  What happened along the way? For one thing, it’s the hype. We’re told AI will not just bring superintelligence and scientific discovery but also make warfare sharper, more accurate and calculated, less prone to human fallibility. I spoke with US Marines, for example, who tested a type of AI while patrolling the South Pacific that was advertised to analyze foreign intelligence faster than a human could.  Ask AIWhy it matters to you?BETAHere’s why this story might matter to you, according to AI. This is a beta feature and AI hallucinates—it might get weirdTell me why it matters Secondly, money talks. OpenAI and others need to start recouping some of the unimaginable amounts of cash they’re spending on training and running these models. And few have deeper pockets than the Pentagon. And Europe’s defense heads seem keen to splash the cash too. Meanwhile, the amount of venture capital funding for defense tech this year has already doubled the total for all of 2024, as VCs hope to cash in on militaries’ newfound willingness to buy from startups.  I do think the opposition to AI warfare falls into a few camps, one of which simply rejects the idea that more precise targeting (if it’s actually more precise at all) will mean fewer casualties rather than just more war. Consider the first era of drone warfare in Afghanistan. As drone strikes became cheaper to implement, can we really say it reduced carnage? Instead, did it merely enable more destruction per dollar? But the second camp of criticism (and now I’m finally getting to your question) comes from people who are well versed in the realities of war but have very specific complaints about the technology’s fundamental limitations. Missy Cummings, for example, is a former fighter pilot for the US Navy who is now a professor of engineering and computer science at George Mason University. She has been outspoken in her belief that large language models, specifically, are prone to make huge mistakes in military settings. The typical response to this complaint is that AI’s outputs are human-checked. But if an AI model relies on thousands of inputs for its conclusion, can that conclusion really be checked by one person? Tech companies are making extraordinarily big promises about what AI can do in these high-stakes applications, all while pressure to implement them is sky high. For me, this means it’s time for more skepticism, not less.  Helen responds:
Hi James,  We should definitely continue to question the safety of AI warfare systems and the oversight to which they’re subjected—and hold political leaders to account in this area. I am suggesting that we also apply some skepticism to what you rightly describe as the “extraordinarily big promises” made by some companies about what AI might be able to achieve on the battlefield. 
There will be both opportunities and hazards in what the military is being offered by a relatively nascent (though booming) defense tech scene. The danger is that in the speed and secrecy of an arms race in AI weapons, these emerging capabilities may not receive the scrutiny and debate they desperately need. Further reading:

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The Download: the risk of falling space debris, and how to debunk a conspiracy theory

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. What is the chance your plane will be hit by space debris? The risk of flights being hit by space junk is still small, but it’s growing. About three pieces of old space equipment—used rockets and defunct satellites—fall into Earth’s atmosphere every day, according to estimates by the European Space Agency. By the mid-2030s, there may be dozens thanks to the rise of megaconstellations in orbit. So far, space debris hasn’t injured anybody—in the air or on the ground. But multiple close calls have been reported in recent years.But some estimates have the risk of a single human death or injury caused by a space debris strike on the ground at around 10% per year by 2035. That would mean a better than even chance that someone on Earth would be hit by space junk about every decade. Find out more.
—Tereza Pultarova This story is part of MIT Technology Review Explains: our series untangling the complex, messy world of technology to help you understand what’s coming next. You can read the rest of the series here.
Chatbots are surprisingly effective at debunking conspiracy theories —Thomas Costello, Gordon Pennycook & David Rand Many people believe that you can’t talk conspiracists out of their beliefs.  But that’s not necessarily true. Our research shows that many conspiracy believers do respond to evidence and arguments—information that is now easy to deliver in the form of a tailored conversation with an AI chatbot. This is good news, given the outsize role that unfounded conspiracy theories play in today’s political landscape. So while there are widespread and legitimate concerns that generative AI is a potent tool for spreading disinformation, our work shows that it can also be part of the solution. Read the full story. This story is part of MIT Technology Review’s series “The New Conspiracy Age,” on how the present boom in conspiracy theories is reshaping science and technology. Check out the rest of the series here. 

The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 China is quietly expanding its remote nuclear test siteIn the wake of Donald Trump announcing America’s intentions to revive similar tests. (WP $)+ A White House memo has accused Alibaba of supporting Chinese operations. (FT $) 2 Jeff Bezos is becoming co-CEO of a new AI startupProject Prometheus will focus on AI for building computers, aerospace and vehicles. (NYT $) 3 AI-powered toys are holding inappropriate conversations with children Including how to find dangerous objects including pills and knives. (The Register)+ Chatbots are unreliable and unpredictable, whether embedded in toys or not. (Futurism)+ AI toys are all the rage in China—and now they’re appearing on shelves in the US too. (MIT Technology Review)4 Big Tech is warming to the idea of data centers in spaceThey come with a lot less red tape than their Earth-bound counterparts. (WSJ $)+ There are a huge number of data centers mired in the planning stage. (WSJ $)+ Should we be moving data centers to space? (MIT Technology Review)5 The mafia is recruiting via TikTokSome bosses are even using the platform to control gangs from behind bars. (Economist $) 6 How to resist AI in your workplaceLike most things in life, there’s power in numbers. (Vox) 7 How China’s EV fleet could become a giant battery networkIf economic troubles don’t get in the way, that is. (Rest of World)+ EV sales are on the rise in South America. (Reuters)+ China’s energy dominance in three charts. (MIT Technology Review) 8 Inside the unstoppable rise of the domestic internetControl-hungry nations are following China’s lead in building closed platforms. (NY Mag $)+ Can we repair the internet? (MIT Technology Review)
9 Search traffic? What search traffic?These media startups have found a way to thrive without Google. (Insider $)+ AI means the end of internet search as we’ve known it. (MIT Technology Review) 10 Paul McCartney has released a silent track to protest AI’s creep into musicThat’ll show them! (The Guardian)+ AI is coming for music, too. (MIT Technology Review)
Quote of the day “All the parental controls in the world will not protect your kids from themselves.” —Samantha Broxton, a parenting coach and consultant, tells the Washington Post why educating children around the risks of using technology is the best way to help them protect themselves. One more thing
Inside the controversial tree farms powering Apple’s carbon neutral goalApple (and its peers) are planting vast forests of eucalyptus trees in Brazil to try to offset their climate emissions, striking some of the largest-ever deals for carbon credits in the process. The tech behemoth is betting that planting millions of eucalyptus trees in Brazil will be the path to a greener future. Some ecologists and local residents are far less sure.The big question is: Can Latin America’s eucalyptus be a scalable climate solution? Read the full story. —Gregory Barber

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What is the chance your plane will be hit by space debris?

MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. In mid-October, a mysterious object cracked the windshield of a packed Boeing 737 cruising at 36,000 feet above Utah, forcing the pilots into an emergency landing. The internet was suddenly buzzing with the prospect that the plane had been hit by a piece of space debris. We still don’t know exactly what hit the plane—likely a remnant of a weather balloon—but it turns out the speculation online wasn’t that far-fetched. That’s because while the risk of flights being hit by space junk is still small, it is, in fact, growing.  About three pieces of old space equipment—used rockets and defunct satellites—fall into Earth’s atmosphere every day, according to estimates by the European Space Agency. By the mid-2030s, there may be dozens. The increase is linked to the growth in the number of satellites in orbit. Currently, around 12,900 active satellites circle the planet. In a decade, there may be 100,000 of them, according to analyst estimates.
To minimize the risk of orbital collisions, operators guide old satellites to burn up in Earth’s atmosphere. But the physics of that reentry process are not well understood, and we don’t know how much material burns up and how much reaches the ground. “The number of such landfall events is increasing,” says Richard Ocaya, a professor of physics at the University of Free State in South Africa and a coauthor of a recent paper on space debris risk. “We expect it may be increasing exponentially in the next few years.”
So far, space debris hasn’t injured anybody—in the air or on the ground. But multiple close calls have been reported in recent years. In March last year, an 0.7-kilogram chunk of metal pierced the roof of a house in Florida. The object was later confirmed to be a remnant of a battery pallet tossed out from the International Space Station. When the strike occurred, the homeowner’s 19-year-old son was resting in a next-door room. And in February this year, a 1.5-meter-long fragment of SpaceX’s Falcon 9 rocket crashed down near a warehouse outside Poland’s fifth-largest city, Poznan. Another piece was found in a nearby forest. A month later, a 2.5-kilogram piece of a Starlink satellite dropped on a farm in the Canadian province of Saskatchewan. Other incidents have been reported in Australia and Africa. And many more may be going completely unnoticed.  “If you were to find a bunch of burnt electronics in a forest somewhere, your first thought is not that it came from a spaceship,” says James Beck, the director of the UK-based space engineering research firm Belstead Research. He warns that we don’t fully understand the risk of space debris strikes and that it might be much higher than satellite operators want us to believe.  For example, SpaceX, the owner of the currently largest mega-constellation, Starlink, claims that its satellites are “designed for demise” and completely burn up when they spiral from orbit and fall through the atmosphere. But Beck, who has performed multiple wind tunnel tests using satellite mock-ups to mimic atmospheric forces, says the results of such experiments raise doubts. Some satellite components are made of durable materials such as titanium and special alloy composites that don’t melt even at the extremely high temperatures that arise during a hypersonic atmospheric descent.  “We have done some work for some small-satellite manufacturers and basically, their major problem is that the tanks get down,” Beck says. “For larger satellites, around 800 kilos, we would expect maybe two or three objects to land.”  It can be challenging to quantify how much of a danger space debris poses. The International Civil Aviation Organization (ICAO) told MIT Technology Review that “the rapid growth in satellite deployments presents a novel challenge” for aviation safety, one that “cannot be quantified with the same precision as more established hazards.”  But the Federal Aviation Administration has calculated some preliminary numbers on the risk to flights: In a 2023 analysis, the agency estimated that by 2035, the risk that one plane per year will experience a disastrous space debris strike will be around 7 in 10,000. Such a collision would either destroy the aircraft immediately or lead to a rapid loss of air pressure, threatening the lives of all on board.

The casualty risk to humans on the ground will be much higher. Aaron Boley, an associate professor in astronomy and a space debris researcher at the University of British Columbia, Canada, says that if megaconstellation satellites “don’t demise entirely,” the risk of a single human death or injury caused by a space debris strike on the ground could reach around 10% per year by 2035. That would mean a better than even chance that someone on Earth would be hit by space junk about every decade. In its report, the FAA put the chances even higher with similar assumptions, estimating that “one person on the planet would be expected to be injured or killed every two years.” Experts are starting to think about how they might incorporate space debris into their air safety processes. The German space situational awareness company Okapi Orbits, for example, in cooperation with the German Aerospace Center and the European Organization for the Safety of Air Navigation (Eurocontrol), is exploring ways to adapt air traffic control systems so that pilots and air traffic controllers can receive timely and accurate alerts about space debris threats. But predicting the path of space debris is challenging too. In recent years, advances in AI have helped improve predictions of space objects’ trajectories in the vacuum of space, potentially reducing the risk of orbital collisions. But so far, these algorithms can’t properly account for the effects of the gradually thickening atmosphere that space junk encounters during reentry. Radar and telescope observations can help, but the exact location of the impact becomes clear with only very short notice. “Even with high-fidelity models, there’s so many variables at play that having a very accurate reentry location is difficult,” says Njord Eggen, a data analyst at Okapi Orbits. Space debris goes around the planet every hour and a half when in low Earth orbit, he notes, “so even if you have uncertainties on the order of 10 minutes, that’s going to have drastic consequences when it comes to the location where it could impact.” For aviation companies, the problem is not just a potential strike, as catastrophic as that would be. To avoid accidents, authorities are likely to temporarily close the airspace in at-risk regions, which creates delays and costs money. Boley and his colleagues published a paper earlier this year estimating that busy aerospace regions such as northern Europe or the northeastern United States already have about a 26% yearly chance of experiencing at least one disruption due to the reentry of a major space debris item. By the time all planned constellations are fully deployed, aerospace closures due to space debris hazards may become nearly as common as those due to bad weather. Because current reentry predictions are unreliable, many of these closures may end up being unnecessary. For example, when a 21-metric-ton Chinese Long March mega-rocket was falling to Earth in 2022, predictions suggested its debris could scatter across Spain and parts of France. In the end, the rocket crashed into the Pacific Ocean. But the 30-minute closure of south European airspace delayed and diverted hundreds of flights.  In the meantime, international regulators are urging satellite operators and launch providers to deorbit large satellites and rocket bodies in a controlled way, when possible, by carefully guiding them into remote parts of the ocean using residual fuel. 
The European Space Agency estimates that only about half the rocket bodies reentering the atmosphere do so in a controlled way.  Moreover, around 2,300 old and no-longer-controllable rocket bodies still linger in orbit, slowly spiraling toward Earth with no mechanisms for operators to safely guide them into the ocean. “There’s enough material up there that even if we change our practices, we will still have all those rocket bodies eventually reenter,” Boley says. “Although the probability of space debris hitting an aircraft is small, the probability that the debris will spread and fall over busy airspace is not small. That’s actually quite likely.”

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The Download: how AI really works, and phasing out animal testing

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. OpenAI’s new LLM exposes the secrets of how AI really works The news: ChatGPT maker OpenAI has built an experimental large language model that is far easier to understand than typical models. Why it matters: It’s a big deal, because today’s LLMs are black boxes: Nobody fully understands how they do what they do. Building a model that is more transparent sheds light on how LLMs work in general, helping researchers figure out why models hallucinate, why they go off the rails, and just how far we should trust them with critical tasks. Read the full story.
—Will Douglas Heaven
Google DeepMind is using Gemini to train agents inside Goat Simulator 3 Google DeepMind has built a new video-game-playing agent called SIMA 2 that can navigate and solve problems in 3D virtual worlds. The company claims it’s a big step toward more general-purpose agents and better real-world robots.    The company first demoed SIMA (which stands for “scalable instructable multiworld agent”) last year. But this new version has been built on top of Gemini, the firm’s flagship large language model, which gives the agent a huge boost in capability. Read the full story. —Will Douglas Heaven These technologies could help put a stop to animal testing Earlier this week, the UK’s science minister announced an ambitious plan: to phase out animal testing. Testing potential skin irritants on animals will be stopped by the end of next year. By 2027, researchers are “expected to end” tests of the strength of Botox on mice. And drug tests in dogs and nonhuman primates will be reduced by 2030.It’s good news for activists and scientists who don’t want to test on animals. And it’s timely too: In recent decades, we’ve seen dramatic advances in technologies that offer new ways to model the human body and test the effects of potential therapies, without experimenting on animals. Read the full story.

—Jessica Hamzelou This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Chinese hackers used Anthropic’s AI to conduct an espionage campaign   It automated a number of attacks on corporations and governments in September. (WSJ $)+ The AI was able to handle the majority of the hacking workload itself. (NYT $)+ Cyberattacks by AI agents are coming. (MIT Technology Review)2 Blue Origin successfully launched and landed its New Glenn rocketIt managed to deploy two NASA satellites into space without a hitch. (CNN)+ The New Glenn is the company’s largest reusable rocket. (FT $)+ The launch had been delayed twice before. (WP $)3 Brace yourself for flu seasonIt started five weeks earlier than usual in the UK, and the US is next. (Ars Technica)+ Here’s why we don’t have a cold vaccine. Yet. (MIT Technology Review) 4 Google is hosting a Border Protection facial recognition app    The app alerts officials whether to contact ICE about identified immigrants. (404 Media)+ Another effort to track ICE raids was just taken offline. (MIT Technology Review) 5 OpenAI is trialling group chats in ChatGPTIt’d essentially make AI a participant in a conversation of up to 20 people. (Engadget)
6 A TikTok stunt sparked debate over how charitable America’s churches really areContent creator Nikalie Monroe asked churches for help feeding her baby. Very few stepped up. (WP $) 7 Indian startups are attempting to tackle air pollutionBut their solutions are far beyond the means of the average Indian household. (NYT $)+ OpenAI is huge in India. Its models are steeped in caste bias. (MIT Technology Review)
8 An AI tool could help reduce wasted efforts to transplant organsIt predicts how likely the would-be recipient is to die during the brief transplantation window. (The Guardian)+ Putin says organ transplants could grant immortality. Not quite. (MIT Technology Review) 9 3D-printing isn’t making prosthetics more affordableIt turns out that plastic prostheses are often really uncomfortable. (IEEE Spectrum)+ These prosthetics break the mold with third thumbs, spikes, and superhero skins. (MIT Technology Review) 10 What happens when relationships with AI fall apartCan you really file for divorce from an LLM? (Wired $)+ It’s surprisingly easy to stumble into a relationship with an AI chatbot. (MIT Technology Review) Quote of the day “It’s a funky time.”
—Aileen Lee, founder and managing partner of Cowboy Ventures, tells TechCrunch the AI boom has torn up the traditional investment rulebook. One more thing Restoring an ancient lake from the rubble of an unfinished airport in Mexico CityWeeks after Mexican President Andrés Manuel López Obrador took office in 2018, he controversially canceled ambitious plans to build an airport on the deserted site of the former Lake Texcoco—despite the fact it was already around a third complete.Instead, he tasked Iñaki Echeverria, a Mexican architect and landscape designer, with turning it into a vast urban park, an artificial wetland that aims to transform the future of the entire Valley region.But as López Obrador’s presidential team nears its end, the plans for Lake Texcoco’s rebirth could yet vanish. Read the full story.
—Matthew Ponsford 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.) + Maybe Gen Z is onto something when it comes to vibe dating.+ Trust AC/DC to give the fans what they want, performing Jailbreak for the first time since 1991.+ Nieves González, the artist behind Lily Allen’s new album cover, has an eye for detail.+ Here’s what AI determines is a catchy tune.

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These technologies could help put a stop to animal testing

Earlier this week, the UK’s science minister announced an ambitious plan: to phase out animal testing. Testing potential skin irritants on animals will be stopped by the end of next year, according to a strategy released on Tuesday. By 2027, researchers are “expected to end” tests of the strength of Botox on mice. And drug tests in dogs and nonhuman primates will be reduced by 2030.  Animal welfare groups have been campaigning for commitments like these for decades. But a lack of alternatives has made it difficult to put a stop to animal testing. Advances in medical science and biotechnology are changing that.
Animals have been used in scientific research for thousands of years. Animal experimentation has led to many important discoveries about how the brains and bodies of animals work. And because regulators require drugs to be first tested in research animals, it has played an important role in the creation of medicines and devices for both humans and other animals. Today, countries like the UK and the US regulate animal research and require scientists to hold multiple licenses and adhere to rules on animal housing and care. Still, millions of animals are used annually in research. Plenty of scientists don’t want to take part in animal testing. And some question whether animal research is justifiable—especially considering that around 95% of treatments that look promising in animals don’t make it to market.
In recent decades, we’ve seen dramatic advances in technologies that offer new ways to model the human body and test the effects of potential therapies, without experimenting on humans or other animals. Take “organs on chips,” for example. Researchers have been creating miniature versions of human organs inside tiny plastic cases. These systems are designed to contain the same mix of cells you’d find in a full-grown organ and receive a supply of nutrients that keeps them alive. Today, multiple teams have created models of livers, intestines, hearts, kidneys and even the brain. And they are already being used in research. Heart chips have been sent into space to observe how they respond to low gravity. The FDA used lung chips to assess covid-19 vaccines. Gut chips are being used to study the effects of radiation. Some researchers are even working to connect multiple chips to create a “body on a chip”—although this has been in the works for over a decade and no one has quite managed it yet. In the same vein, others have been working on creating model versions of organs—and even embryos—in the lab. By growing groups of cells into tiny 3D structures, scientists can study how organs develop and work, and even test drugs on them. They can even be personalized—if you take cells from someone, you should be able to model that person’s specific organs. Some researchers have even been able to create organoids of developing fetuses. The UK government strategy mentions the promise of artificial intelligence, too. Many scientists have been quick to adopt AI as a tool to help them make sense of vast databases, and to find connections between genes, proteins and disease, for example. Others are using AI to design all-new drugs. Those new drugs could potentially be tested on virtual humans. Not flesh-and-blood people, but digital reconstructions that live in a computer. Biomedical engineers have already created digital twins of organs. In ongoing trials, digital hearts are being used to guide surgeons on how—and where—to operate on real hearts. When I spoke to Natalia Trayanova, the biomedical engineering professor behind this trial, she told me that her model could recommend regions of heart tissue to be burned off as part of treatment for atrial fibrillation. Her tool would normally suggest two or three regions but occasionally would recommend many more. “They just have to trust us,” she told me.

It is unlikely that we’ll completely phase out animal testing by 2030. The UK government acknowledges that animal testing is still required by lots of regulators, including the FDA, the European Medicines Agency, and the World Health Organization. And while alternatives to animal testing have come a long way, none of them perfectly capture how a living body will respond to a treatment. At least not yet. Given all the progress that has been made in recent years, it’s not too hard to imagine a future without animal testing. This article first appeared in The Checkup, MIT Technology Review’s weekly biotech newsletter. To receive it in your inbox every Thursday, and read articles like this first, sign up here.

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OpenAI’s new LLM exposes the secrets of how AI really works

ChatGPT maker OpenAI has built an experimental large language model that is far easier to understand than typical models. That’s a big deal, because today’s LLMs are black boxes: Nobody fully understands how they do what they do. Building a model that is more transparent sheds light on how LLMs work in general, helping researchers figure out why models hallucinate, why they go off the rails, and just how far we should trust them with critical tasks. “As these AI systems get more powerful, they’re going to get integrated more and more into very important domains,” Leo Gao, a research scientist at OpenAI, told MIT Technology Review in an exclusive preview of the new work. “It’s very important to make sure they’re safe.” This is still early research. The new model, called a weight-sparse transformer, is far smaller and far less capable than top-tier mass-market models like the firm’s GPT-5, Anthropic’s Claude, and Google DeepMind’s Gemini. At most it’s as capable as GPT-1, a model that OpenAI developed back in 2018, says Gao (though he and his colleagues haven’t done a direct comparison).    
But the aim isn’t to compete with the best in class (at least, not yet). Instead, by looking at how this experimental model works, OpenAI hopes to learn about the hidden mechanisms inside those bigger and better versions of the technology. It’s interesting research, says Elisenda Grigsby, a mathematician at Boston College who studies how LLMs work and who was not involved in the project: “I’m sure the methods it introduces will have a significant impact.” 
Lee Sharkey, a research scientist at AI startup Goodfire, agrees. “This work aims at the right target and seems well executed,” he says. Why models are so hard to understand OpenAI’s work is part of a hot new field of research known as mechanistic interpretability, which is trying to map the internal mechanisms that models use when they carry out different tasks. That’s harder than it sounds. LLMs are built from neural networks, which consist of nodes, called neurons, arranged in layers. In most networks, each neuron is connected to every other neuron in its adjacent layers. Such a network is known as a dense network. Dense networks are relatively efficient to train and run, but they spread what they learn across a vast knot of connections. The result is that simple concepts or functions can be split up between neurons in different parts of a model. At the same time, specific neurons can also end up representing multiple different features, a phenomenon known as superposition (a term borrowed from quantum physics). The upshot is that you can’t relate specific parts of a model to specific concepts. “Neural networks are big and complicated and tangled up and very difficult to understand,” says Dan Mossing, who leads the mechanistic interpretability team at OpenAI. “We’ve sort of said: ‘Okay, what if we tried to make that not the case?’” Instead of building a model using a dense network, OpenAI started with a type of neural network known as a weight-sparse transformer, in which each neuron is connected to only a few other neurons. This forced the model to represent features in localized clusters rather than spread them out. Their model is far slower than any LLM on the market. But it is easier to relate its neurons or groups of neurons to specific concepts and functions. “There’s a really drastic difference in how interpretable the model is,” says Gao. Gao and his colleagues have tested the new model with very simple tasks. For example, they asked it to complete a block of text that opens with quotation marks by adding matching marks at the end.  

It’s a trivial request for an LLM. The point is that figuring out how a model does even a straightforward task like that involves unpicking a complicated tangle of neurons and connections, says Gao. But with the new model, they were able to follow the exact steps the model took. “We actually found a circuit that’s exactly the algorithm you would think to implement by hand, but it’s fully learned by the model,” he says. “I think this is really cool and exciting.” Where will the research go next? Grigsby is not convinced the technique would scale up to larger models that have to handle a variety of more difficult tasks.     Gao and Mossing acknowledge that this is a big limitation of the model they have built so far and agree that the approach will never lead to models that match the performance of cutting-edge products like GPT-5. And yet OpenAI thinks it might be able to improve the technique enough to build a transparent model on a par with GPT-3, the firm’s breakthrough 2021 LLM.  “Maybe within a few years, we could have a fully interpretable GPT-3, so that you could go inside every single part of it and you could understand how it does every single thing,” says Gao. “If we had such a system, we would learn so much.”

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Petrobras makes oil discovery in Campos basin postsalt

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The Download: the future of AlphaFold, and chatbot privacy concerns

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. What’s next for AlphaFold: A conversation with a Google DeepMind Nobel laureate In 2017, fresh off a PhD on theoretical chemistry, John Jumper heard rumors that Google DeepMind had moved on from game-playing AI to a secret project to predict the structures of proteins. He applied for a job.Just three years later, Jumper and CEO Demis Hassabis had led the development of an AI system called AlphaFold 2 that was able to predict the structures of proteins to within the width of an atom, matching lab-level accuracy, and doing it many times faster—returning results in hours instead of months.Last year, Jumper and Hassabis shared a Nobel Prize in chemistry. Now that the hype has died down, what impact has AlphaFold really had? How are scientists using it? And what’s next? I talked to Jumper (as well as a few other scientists) to find out. Read the full story. —Will Douglas Heaven
The State of AI: Chatbot companions and the future of our privacy
—Eileen Guo & Melissa Heikkilä Even if you don’t have an AI friend yourself, you probably know someone who does. A recent study found that one of the top uses of generative AI is companionship: On platforms like Character.AI, Replika, or Meta AI, people can create personalized chatbots to pose as the ideal friend, romantic partner, parent, therapist, or any other persona they can dream up.Some state governments are taking notice and starting to regulate companion AI. But tellingly, one area the laws fail to address is user privacy. Read the full story. This is the fourth edition of The State of AI, our subscriber-only collaboration between the Financial Times and MIT Technology Review. Sign up here to receive future editions every Monday.While subscribers to The Algorithm, our weekly AI newsletter, get access to an extended excerpt, subscribers to the MIT Technology Review are able to read the whole thing on our site. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Donald Trump has signed an executive order to boost AI innovation The “Genesis Mission” will try to speed up the rate of scientific breakthroughs. (Politico)+ The order directs government science agencies to aggressively embrace AI. (Axios)+ It’s also being touted as a way to lower energy prices. (CNN) 2 Anthropic’s new AI model is designed to be better at codingWe’ll discover just how much better once Claude Opus 4.5 has been properly put through its paces. (Bloomberg $)+ It reportedly outscored human candidates in an internal engineering test. (VentureBeat)+ What is vibe coding, exactly? (MIT Technology Review)

3 The AI boom is keeping India hooked on coalLeaving little chance of cleaning up Mumbai’s famously deadly pollution. (The Guardian)+ It’s lethal smog season in New Delhi right now. (CNN)+ The data center boom in the desert. (MIT Technology Review)4 Teenagers are losing access to their AI companionsCharacter.AI is limiting the amount of time underage users can spend interacting with its chatbots. (WSJ $)+ The majority of the company’s users are young and female. (CNBC)+ One of OpenAI’s key safety leaders is leaving the company. (Wired $)+ The looming crackdown on AI companionship. (MIT Technology Review)5 Weight-loss drugs may be riskier during pregnancy Recipients are more likely to deliver babies prematurely. (WP $)+ The pill version of Ozempic failed to halt Alzheimer’s progression in a trial. (The Guardian)+ We’re learning more about what weight-loss drugs do to the body. (MIT Technology Review)6 OpenAI is launching a new “shopping research” toolAll the better to track your consumer spending with. (CNBC)+ It’s designed for price comparisons and compiling buyer’s guides. (The Information $)+ The company is clearly aiming for a share of Amazon’s e-commerce pie. (Semafor) 7 LA residents displaced by wildfires are moving into prefab housing 🏠Their new homes are cheap to build and simple to install. (Fast Company $)+ How AI can help spot wildfires. (MIT Technology Review) 8 Why former Uber drivers are undertaking the world’s toughest driving testThey’re taking the Knowledge—London’s gruelling street test that bypasses GPS. (NYT $)9 How to spot a fake batteryGreat, one more thing to worry about. (IEEE Spectrum) 10 Where is the Trump Mobile?Almost six months after it was announced, there’s no sign of it. (CNBC) Quote of the day “AI is a tsunami that is gonna wipe out everyone. So I’m handing out surfboards.” —Filmmaker PJ Accetturo, tells Ars Technica why he’s writing a newsletter advising fellow creatives how to pivot to AI tools.
One more thing
The second wave of AI coding is hereAsk people building generative AI what generative AI is good for right now—what they’re really fired up about—and many will tell you: coding.Everyone from established AI giants to buzzy startups is promising to take coding assistants to the next level. This next generation can prototype, test, and debug code for you. The upshot is that developers could essentially turn into managers, who may spend more time reviewing and correcting code written by a model than writing it. But there’s more. Many of the people building generative coding assistants think that they could be a fast track to artificial general intelligence, the hypothetical superhuman technology that a number of top firms claim to have in their sights. Read the full story. —Will Douglas Heaven 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.) + If you’re planning a visit to Istanbul here’s hoping you like cats—the city can’t get enough of them.+ Rest in power reggae icon Jimmy Cliff.+ Did you know the ancient Egyptians had a pretty accurate way of testing for pregnancy?+ As our readers in the US start prepping for Thanksgiving, spare a thought for Astoria the lovelorn turkey 🦃

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Ukraine Hits Russian Black Sea Oil Infrastructure Again

Ukraine attacked key Russian key energy infrastructure on the Black Sea for a third time this month just as President Donald Trump cited progress on his peace proposal. “Units of the Defense Forces of Ukraine, in close cooperation, successfully hit the Sheskharis oil terminal in Novorossiysk as well as the Tuapse oil refinery,” Ukraine’s General Staff said on Tuesday in a Telegram statement.  The claims could not be independently verified. Russia’s crude-pipeline operator Transneft PJSC which runs Sheskharis, and Rosneft PJSC, which owns the Tuapse plant, did not immediately respond to a requests for comment.  Ukraine has intensified its attacks on Russia’s energy facilities — from refineries to crude pipelines and oil-loading terminals – in a move to reduce the Kremlin’s revenue and hinder its ability to finance the war. At the same time, Russia has been repeatedly hitting Ukraine’s civilian population and targeting infrastructure such as power plants and utilities ahead of the winter season.   It’s the third time Ukrainian drones attacked Russia’s Black-Sea oil facilities in November alone. The previous attacks on Nov.2 and Nov.14 caused temporary halts to operations at Sheskharis and at the Tuapse refinery.  Russia’s Defense Ministry said it had intercepted and downed 116 Ukrainian drones over the Black Sea and another 76 over the Krasnodar region, where the bulk of Russia’s southern energy infrastructure is located. The Governor of the Krasnodar region said in a post on Telegram that the situation in the port city of Novorossiysk was “the most complicated.” The strikes occurred as US Army Secretary Dan Driscoll met with Russian officials in Abu Dhabi on Monday and Tuesday, according to a US official. President Trump suggested in a social media post that “big progress” was being made on the peace deal drafted earlier this month. The Sheskharis facility in the port of Novorossiysk is Russia’s main

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Fluent Bit vulnerabilities could enable full cloud takeover

Attackers could flood monitoring systems with false or misleading events, hide alerts in the noise, or even hijack the telemetry stream entirely, Katz said. The issue is now tracked as CVE-2025-12969 and awaits a severity valuation. Almost equally troubling are other flaws in the “tag” mechanism, which determines how the records are routed and processed. One bug (CVE-2025-12978) allows an attacker who can guess just the first character of the tag key to impersonate trusted tags and reroute logs or bypass filters. Another (CVE-2025-12977) allows unsanitized tag values (including newlines, directory-traversal strings, and control characters), which can corrupt downstream parsing, enable file-system writes, or allow further escalation. According to the blog, AWS has secured all of its internal systems that rely on Fluentbit through the Fluentbit project and released Fluentbit version 4.1.1. AWS did not immediately respond to CSO’s request for comment. File writes, container overflow, and full agent takeover Oligo also disclosed a chain of remote code execution (RCE) and path traversal vulnerabilities affecting the tool. CVE-2025-12972 targets the “out_file“ output plugin. When Tag values are user-controlled, and no fixed File parameter is set, attackers can abuse the Tag value (e.g.,”../“) to cause path-traversal file writes or overwrites, ultimately letting them plant malicious files or gain RCE. “Our research found that some of these vulnerabilities, such as CVE 2025-12972, have left cloud environments vulnerable for over 8 years,” Katz noted. In the Docker input plugin (in-Docker), CVE-2025-12970 shows a stack buffer overflow. If an attacker names a container with an excessively long name, the buffer overflow lets them crash the agent or execute code. Oligo warned that the flaw allows attackers to seize the logging agent, hide their activity, plant backdoors, and pivot further into the system.

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What Price Will USA NatGas Average This Winter?

In its latest short term energy outlook (STEO), which was released on November 6, the U.S. Energy Information Administration (EIA) revealed that it sees the U.S. Henry Hub spot price averaging $3.90 per million British thermal units (MMBtu) over the winter season, which it pointed out runs from November to March. The EIA also projected in its latest STEO that, during this time, the U.S. Henry Hub spot price will peak in January at $4.25 per MMBtu. In its November STEO, the EIA forecast that the U.S. Henry Hub spot price will average $3.47 per MMBtu overall in 2025 and $4.02 per MMBtu overall in 2026. The EIA projected that the U.S. Henry Hub spot price would come in at $3.42 per MMBtu in 2025 and $3.94 per MMBtu in 2026 in its previous STEO, which was released in October. Both STEOs showed that the 2024 U.S. Henry Hub spot price averaged $2.19 per MMBtu. The EIA’s latest STEO projected that the commodity will come in at $3.51 per MMBtu in the fourth quarter of this year, $3.98 per MMBtu in the first quarter of next year, $3.38 per MMBtu in the second quarter of 2026, $3.97 per MMBtu in the third quarter, and $4.73 per MMBtu in the fourth quarter of 2026. In its October STEO, the EIA forecast that the U.S. Henry Hub spot price would average $3.33 per MMBtu in the fourth quarter of 2025, $3.86 per MMBtu in the first quarter of next year, $3.31 per MMBtu in the second quarter, $3.91 per MMBtu in the third quarter, and $4.68 per MMBtu in the fourth quarter.   NatGas in Winter In its latest STEO, the EIA noted that “natural gas prices typically rise during the winter as demand for space heating increases and consumption of natural

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Aligning VMware migration with business continuity

In partnership withPresidio For decades, business continuity planning meant preparing for anomalous events like hurricanes, floods, tornadoes, or regional power outages. In anticipation of these rare disasters, IT teams built playbooks, ran annual tests, crossed their fingers, and hoped they’d never have to use them. In recent years, an even more persistent threat has emerged. Cyber incidents, particularly ransomware, are now more common—and often, more damaging—than physical disasters. In a recent survey of more than 500 CISOs, almost three-quarters (72%) said their organization had dealt with ransomware in the previous year. Earlier in 2025, ransomware attack rates on enterprises reached record highs. Mark Vaughn, senior director of the virtualization practice at Presidio, has witnessed the trend firsthand. “When I speak at conferences, I’ll ask the room, ‘How many people have been impacted?’ For disaster recovery, you usually get a few hands,” he says. “But a little over a year ago, I asked how many people in the room had been hit by ransomware, and easily two-thirds of the hands went up.” Download the full article.
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. This content was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

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