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Job titles of the future: Space travel agent

Roman Chiporukha has long turned wild travel dreams into reality. Over two decades as co-owner of the luxury lifestyle firm Roman & Erica, he has orchestrated everything from the construction of a client’s superyacht to vacations in the Bahamas at a location so private that guests must sign an NDA. The experiences earned him “the ear,” he says, “of the ultra-high-net-worth audience.” It also led to a life-changing phone call: In 2018, Axiom Space wanted to find three citizen explorers willing to pay $50 million each to join the first fully private mission to the International Space Station (ISS), slated for April 2022. This showed Chiporukha that the sky was no longer the limit; it was the market. He successfully signed up the private astronauts and then launched SpaceVIP in 2021 to offer celestial experiences that mix culture, science, and purpose. Here’s what it takes to become the Expedia of the cosmos.
A willingness to do your homework Chiporukha isn’t an astronaut or aerospace engineer, so he had to fast-track his own education on the nuances of commercial spaceflight. To help private citizens skip the rocket-science headache, he has wrangled the highly fragmented space sector into a single, seamless digital portal, so adventurers can investigate suborbital flights and far-out itineraries as effortlessly as they would a weekend getaway. But he insists they still need an expert fixer who can secure “the perks, the custom requests, and the upgrades.” The power to align wants with reality SpaceVIP receives dozens of inquires a month, but Chiporukha helps just a small, exclusive roster design custom adventures based on their budgets and physical comfort zones. Acting as a bridge between starry-eyed dreamers and strict aerospace parameters, he works with operators like Axiom for multiday stays on the ISS, and with Blue Origin, SpaceX, and Virgin Galactic for other excursions. Spacefarers can choose, for example, a zero-gravity parabolic flight or a smooth six-hour voyage aboard a stratospheric balloon 15 miles above Earth—an option he says is “relatively affordable,” if you’re a person for whom a few hundred thousand dollars isn’t that much. Ability to inspire a new generation Making space travel widespread is an uphill climb in terms of cost and technology. But, Chiporukha adds, more people simply need to be interested. He cofounded the Space Prize Foundation, a nonprofit that runs science competitions for young women and groups underrepresented in STEM. Winners get zero-gravity flights and entry into immersive astronaut-training programs. “Making space more mainstream isn’t just about bringing down the cost of a ticket,” he says. “It’s about creating pathways into the industry and helping people understand that this future shouldn’t belong to a tiny group.” Linda Childers is a California-based freelance journalist who writes about science, education, and health.

This scientist is helping build a missing map of childhood

In 2017, Deanne Taylor attended a presentation at the University of Pennsylvania, just a short walk from her office. A researcher was there to unveil the Human Cell Atlas, an ambitious project that aimed to map every cell in the human body. Taylor was floored, and then concerned. As details emerged, she discovered that the project’s researchers had only made plans to study adults. “That’s when my little alarm went off,” she says. “Not again.” Since joining the Children’s Hospital of Philadelphia (CHOP) as the director of bioinformatics three years earlier, Taylor had been disappointed by the lack of investment in medical research focused on children. The dominant view, she says, was that children are exactly like small adults. They’re not. Children’s cells are different from grownups’ cells in the way they express genes—switching them on and off or turning them up or down. Those variations can cause drastically different and even deadly responses to drugs that adults tolerate well. The 2017 talk was the moment Taylor didn’t know she’d been waiting for. She quickly channeled her concern into a campaign, joining the Human Cell Atlas’s volunteer team and helping write a section on children for a white paper outlining the group’s goals and plans. She then rallied a cross-hospital coalition of pediatric researchers to contribute to the project and spearheaded a 2019 paper that outlined the case for studying children—a bid to attract more interest and funding to the field. “It put a flag in the ground,” she says. “Why don’t we have healthy models of children’s development?” So far, the push has paid off. In 2021 the NIH awarded a $38.5 million grant to the Developmental Genotype-Tissue Expression Project (dGTEx), a major initiative aimed at establishing the first comprehensive database of healthy pediatric tissue. The project banks samples collected from otherwise healthy children who have died and whose parents agreed to donate their bodies, and maps how genes across all the major organ systems are expressed. Taylor and her team curate and standardize the information associated with each tissue donation, including family history and details about the samples. A separate group does analysis on the samples themselves, and then all the information is combined to create a database—a baseline of what gene expression looks like in children. It’s the first step to enabling research that could advance our knowledge of normal development, disease, drug effectiveness, and other phenomena.
The dGTEx team will eventually feed its data into the Human Cell Atlas, which, thanks to Taylor and many of the coauthors of the 2019 paper, now includes a pediatric section. Taylor’s primary responsibility may be collecting and organizing data for dGTEx, but colleagues say she’s also the glue holding diverse research projects together. That’s especially important for the Human Cell Atlas, which depends on contributions from a loose coalition of researchers, all pursuing their own objectives. “Deanne took a big-picture view and said, We don’t just need to understand the pediatric kidney or the pediatric brain or the pediatric immune system. We need a holistic view of pediatric development,” says Sarah Teichmann, a cofounder of the Human Cell Atlas. “She embodies that interdisciplinary spirit.”
A healthy baseline Taylor describes her career as a “random walk,” driven by a singular intensity she now attributes to undiagnosed autism and ADHD. At five, she began reading her mom’s medical texts. By 12, she was checking out physics books from the library. Physics provided mysteries to solve, and she wanted to understand how things worked. Taylor got her PhD in biophysics, in 2001, but was inspired by the then-active Human Genome Project to change gears and take on a postdoc at Pfizer, writing code to handle complex data in rare-disease research. Then she moved to reproductive medicine, where she worked on some of the first computer programs to screen embryos for chromosomal abnormalities—many of which are still in use today. HANNAH YOON Despite this seemingly winding road, Taylor says her focus has always been on understanding why the same illness hits people differently. How can two people carry the same disease-associated gene variant, but only one get sick? The Human Cell Atlas—including all the data feeding into it from dGTEx and other projects—could at last help researchers find answers. The effort is a natural extension of the Human Genome Project. That initiative, which wrapped up in 2003, helped researchers link specific genes to specific diseases. But a map of the genome is a bit like a DIY kit with all the parts and no assembly manual. It doesn’t tell you where and how cells use each gene throughout the body. After all, “we’re just older kids,” Taylor says. “By ignoring the pediatric side of things, I think people are missing a window of intervention in human disease.” For that, you need to know how the genes are expressed. Gene expression generally involves making a protein that does a specific job in the body, like building tissue or sending signals. Unlike DNA, which largely remains the same throughout our lives, the way the genes in DNA are expressed changes as we develop. Differences in gene expression can determine whether a therapy will work—or could harm more than it helps. Because of the way cardiac genes are expressed in children, chemotherapy drugs can attack not only tumors but also children’s developing hearts, potentially causing lifelong damage. Other treatments can affect the entire body, sometimes triggering a reversible but potentially fatal immune-system reaction called cytokine release syndrome. The dGTEx database aims to create a baseline for gene expression in children—a molecular map of how the body’s roughly 20,000 genes do their work in healthy tissue cells. It is only one of the collaborations Taylor manages. She’s a principal investigator for the Kids First Data Resource Center, which sequences diseased tissues collected from children enrolled in other studies nationwide. And she has been collaborating with researchers on HubMAP, an effort that’s building a resource complementary to the Human Cell Atlas, to secure funding to create 3D maps of children’s cells like the ones it’s already made for adults. Extending such initiatives to children is important, Teichmann argues. Much of human development happens in childhood; key brain cells called astrocytes form in the first five years, for instance, and the immune system matures in puberty. “Those changes are really important to understand from a disease point of view,” she says. A granular view of how individual cells work “will change pediatric medicine, for sure.”

Herding cats Taylor helps the dGTEx machine run, coordinating researchers across multiple organizations that each contribute different pieces to the puzzle. These include a nonprofit group that secures tissue samples from deceased children soon after death and CHOP pathologists who assess each sample’s quality and type. Tissues are frozen and stored for future researchers to use with the group’s permission, while samples are sent to organizations including the nonprofit Broad Institute, which analyze gene expression. Data streams in at all these steps—information that the Human Cell Atlas effort can eventually draw on. This coordination is “like herding cats,” says Rebecca Linn, a pediatric pathologist at CHOP. “So many individuals with different goals.” Taylor says an important part of her role is mediating among participants. That means, for example, explaining to researchers who want to use dGTEx’s tissues that it’s impossible to divide a one-month-old’s tiny testes 20 ways. Colleagues describe Taylor as a well-connected collaborator who unites people across diverse specialties—essential qualities for a multidisciplinary, international effort like the Human Cell Atlas. It also helps that Taylor is full of surprises. She has tattoos of Schrödinger’s and Boltzmann’s equations and dabbles in painting and photography; a nondescript rock from Burning Man, where she volunteered in the kitchen, sits on her desk. “She can make friends and be memorable through her interests and knowledge and questions about all these different subjects. It really draws you in,” says Linn. Taylor, however, believes the life-changing potential of the work itself is enough to motivate colleagues. Comparing a sick person’s cells with the healthy, age-matched baseline the Human Cell Atlas provides could yield biomarkers of health and disease that could serve as drug targets or diagnostic markers. A pediatric chapter in that atlas could produce similar insights for children—and strengthen our understanding of how our genetics and environments affect health and disease at various stages of development. Extending the atlas to children may even help reveal how adult diseases trace back to distinct signals in childhood, raising the possibility that we could screen for and treat chronic conditions years or even decades before they surface. That could not only improve outcomes but help people prevent debilitating symptoms before they ever develop. After all, “we’re just older kids,” Taylor says. “By ignoring the pediatric side of things, I think people are missing a window of intervention in human disease.” Taylor hopes the project will shift how research views pediatrics. It’s a big goal, one that will require big data—and forces like her to help pull everything together. Colleen de Bellefonds is a science journalist based in Paris.

It’s final! Judge says HPE’s Juniper acquisition is complete

Originally announced on January 9, 2024, the deal and has undergone public scrutiny ever since, with regulatory reviews in the UK, EU and the US. It was the US that proved to be the final hurdle, with the Justice Department suing to block the deal at first. At the time, the DOJ said reduced competition in the wireless market would be the biggest problem with the proposed buy. In its statement, the agency noted that HPE and Juniper are the second- and third-largest providers, respectively, of enterprise-grade WLAN solutions in the U.S. behind market leader Cisco. But those issues were ultimately settled in June 2025, and HPE has gone on to integrate Juniper’s networking technology. Most recently, it announced a raft of new products, including HPE Juniper Networking QFX switches aimed at inferencing and scale-up architecture. It also deepened integration of its Juniper Networking data center switching and operations into its Mist AI engine and launched a unified, AI-native SASE platform.

Roundtables: Inside the “Censorship-Industrial Complex” Idea Shaping US Policy

Available only for MIT Alumni and subscribers.
Listen to the session or watch below The “censorship-industrial complex” is an idea that a network of government, tech, and research groups is collaborating to suppress conservative online speech. This was fodder for the right-wing information sphere for years—then it began making its way into US policy. Watch a conversation exploring how it started, where it’s going, and what it means for the future of democracy and the internet. Speakers: Amy Nordrum, Executive Editor, Operations, and Eileen Guo, Senior Reporter, Features & Investigations

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Recorded on August 13, 2026 Related Story:

Google, Microsoft and Nvidia back 800V DC standard for AI data centers

The savings over alternating current (AC), the current power standard, are considerable. With AC, there are 4 wires while DC has two. So there is considerable wiring savings in an all-DC facility. Also, with higher voltage comes a lower current and current is what generates heat. So data centers that can run on 800VDC can run cooler. That translates to a 50% to 80% reduction in copper usage and an 8% to 12% reduction in annual energy-related OpEx through lower conversion and distribution losses. AI-first facilities can see a $4 million to $8 million in CapEx savings per 10 MW build by reducing upstream AC. For a one-gigawatt data center, you’re saving a several million pounds of copper wire. The push reflects a fundamental change in data-center power requirements. AI accelerators are being deployed in increasingly dense configurations, driving power consumption per rack higher and making traditional low-voltage AC distribution more difficult to scale.

Building a practical path to post-quantum cryptography

Provided byIntel Quantum computing has alternated between breakthrough darling and overhyped promise in technology circles. Its powerful new capabilities come with a threat to break current cryptography, but for business leaders navigating the noise, the signal should be clear: post-quantum cryptography (PQC) is a manageable evolution, not a crisis. The mathematics behind today’s encrypted digital transactions may yield to quantum computers one day, but the transition to quantum-resistant algorithms is neither sudden nor insurmountable. For executives concerned about disruption, cost, or complexity, a structured and phased approach exists with trusted technology partners like Intel that are already beginning to deliver the infrastructure to make it possible. A natural evolution, not a cliff edge The “quantum threat” narrative often swings between two extremes: imminent catastrophe or distant irrelevance. The reality occupies a more pragmatic middle ground. Quantum computers are highly specialized accelerators that exploit quantum physics to solve specific hard problems. They have the potential to crack modern encryption, but they will not replace classic servers overnight, nor will they instantly break every encryption protocol on the internet. What they will do is gradually shift the security landscape, much as previous cryptographic transitions have done over the past three decades. In late 2024, the Global Risk Institute, a Toronto-based financial services think tank, surveyed 32 quantum computing experts on when a quantum computer could break a 2048-bit RSA key within 24 hours. An average of optimistic and pessimistic estimates from the experts gave it an even 50-50 probability of reaching this code-breaking milestone by 2040. This timeline, uncertain but measurable, creates space for deliberate planning rather than emergency reaction. The near-term focus should be on “harvest now, decrypt later” scenarios, where adversaries collect encrypted data today and then hold it for future decryption later when that capability becomes possible. This is particularly applicable for information requiring confidentiality beyond 10 years.
For most enterprises, this can be a manageable risk when addressed through methodical modernization. Government signals as confidence builders The U.S. government has issued new directives for National Security Systems (NSS), which would likely be first on the list for potential quantum attack. Beginning in January 2027, new NSS acquisitions must be capable of supporting Commercial National Security Algorithm Suite 2.0 (CNSA 2.0) requirements for PQC algorithms standardized by the National Institute of Standards and Technology (NIST) and selected by the National Security Agency, the U.S. intelligence agency responsible for signals intelligence and information assurance. Implementation for new systems (with certain exceptions) is then required by 2031, with 100% adoption targeted by 2035.
For commercial enterprises, these timelines are not mandates, but could be signposts. They indicate where vendors, standards bodies, and auditors are headed, providing a reference architecture for responsible stewardship. Organizations can borrow this discipline without necessarily copying the exact timelines, using government guidance to calibrate their own risk tolerance and investment cadence. Intel’s role: Infrastructure ready for the transition Intel is at the heart of the AI revolution by delivering quantum-resistant capabilities across our product portfolio. This is not just aspirational roadmap language; it is starting to be shipping technology. For instance, the Intel Xeon 6 Processor already incorporates quantum-safe memory encryption (AES-256) and microcode signing to protect processor integrity. Upcoming platforms will extend post-quantum algorithms to more firmware and software signing, device interconnects, attestations, and secure boot functions, aligning with the most stringent government and industry directives. Post-quantum algorithms carry different key sizes and computational overhead than legacy methods. Intel addresses this through dedicated cryptographic accelerators, optimized libraries, and specialized CPU instructions that reduce latency and preserve service-level agreements. Technologies such as Intel QuickAssist Technology offload cryptographic workloads, enabling enterprises to adopt stronger algorithms without sacrificing performance. PQC is not a processor-alone problem. System builders and application owners must take a comprehensive view spanning solid-state drives, network interface cards, operating systems, hypervisors, applications, and connected services. Intel is delivering its pieces of the stack, while collaborating with ecosystem partners to ensure interoperability and smooth transition paths. A more in-depth discussion of post-quantum algorithms and attacks can be found in my recent blog posted on Intel’s Community forum: “Post-Quantum Crypto: Panic Like It’s 1999?” A practical roadmap for enterprises The path forward does not require upheaval, just discipline. Organizations can follow a phased approach that mirrors patterns emerging in government and critical infrastructure sectors: Approach PQC as modernization, not mitigation. Frame the transition as an opportunity to strengthen cryptographic foundations, reduce technical debt, and improve system maintainability. Leverage trusted partners. Technology suppliers like Intel are already shipping quantum-resistant capabilities with performance acceleration. Evaluate platform readiness and vendor roadmaps as part of procurement decisions. Start with visibility. Cryptography is embedded throughout modern technology stacks: not just in database encryption settings but in data at rest, data in transit, digital signatures, code signing, device identity, password hashing, and software update mechanisms. Start by mapping where cryptographic assets live, what algorithms protect them, and which data sets have the longest confidentiality requirements. Protect long-lived data first. Not all cryptographic uses age at the same rate. Encryption protecting long-lifespan intellectual property, personal data, or state secrets faces more immediate attention than short-lived session keys or rotating certificates. Focus initial investments on high-value, long-retention data stores and the trust anchors (root certificates, firmware signing keys) that underpin system integrity. Design for evolution and agility. Post-quantum algorithms are not simple drop-in replacements. They carry different key sizes, performance characteristics, and integration requirements that ripple through protocols, APIs, and hardware. Design systems that can transition algorithms without business disruption: testing compatibility, ensuring vendor roadmaps align, and engineering for rotation. The bottom line Quantum computing will reshape cryptography, but despite what occasional click-bait headlines say, it will not upend business overnight. The transition to post-quantum algorithms is a measured, multi-year journey, one that organizations can navigate with confidence by partnering with capable technology providers, prioritizing long-lived data, and designing for agility. Leaders who approach this as an engineering evolution rather than a threat response will not only be ready for whatever timeline quantum delivers; they will emerge with more robust, transparent, and maintainable cryptographic foundations across their platforms. This content was produced by Intel. It was not written by MIT Technology Review’s editorial staff.

Job titles of the future: Space travel agent

This scientist is helping build a missing map of childhood

It’s final! Judge says HPE’s Juniper acquisition is complete

Roundtables: Inside the “Censorship-Industrial Complex” Idea Shaping US Policy

[embedded content]

Recorded on August 13, 2026 Related Story:

Google, Microsoft and Nvidia back 800V DC standard for AI data centers

Building a practical path to post-quantum cryptography

IEA revises down 2026 oil demand forecast

Global oil supply, market balance tighten Global oil supply increased by 2.4 million b/d in July to 101.5 million b/d but remained 6.3 million b/d lower than the same period last year, with 8.3 million b/d of production still shut down in the Gulf region. “Renewed hostilities and maritime disruptions in July and early August undermined the recovery efforts, reducing projected third-quarter 2026 oil supply by 1.7 million b/d compared with last month’s report,” IEA said. Global oil supply is now projected to decline by 4.3 million b/d on average in 2026 and rebound by 8.3 million b/d next year to 110.3 million b/d. The global oil balance is now expected to show a deficit of 1.8 million b/d in third-quarter 2026, IEA said, more than double the estimate of around 800,000 b/d in last month’s report. “Although the market is projected to return to surplus towards the end of this year, risks remain substantial and the urgency of reopening the Strait has increased, as previously available inventory buffers are rapidly depleting,” IEA said. Refinery runs remain under pressure Global refinery crude throughputs increased further in July, but remained nearly 5 million b/d lower than the same period last year, at 80.9 million b/d. Continued disruptions to Middle Eastern refined product exports and attacks on Russian refineries are expected to lead to a further decline of 370,000 b/d in refinery utilization rates in the third quarter of 2026. Global throughputs are currently projected to decline by an average of 2.5 million b/d in 2026, before rebounding by 3.5 million b/d in 2027. Tightening supply in the light and medium distillate markets has pushed up crack spreads and margins in the Atlantic Basin to record highs. Global monitored crude oil inventories plunged by 69 million b/d in July, due to renewed

Brazos Midstream to double gas processing capacity of Midland basin Cassidy complex

Brazos Midstream is adding a second 300-MMcfd cryogenic natural gas plant that will double processing capacity of subsidiary Brazos Midstream Operating III LLC’s soon-to-be commissioned Cassidy complex in Glasscock County, Tex., about 12 miles west of Garden City, in the Midland basin of the Texas Permian. Scheduled to enter service in summer 2027, the newly proposed Cassidy II plant will join the operator’s previously announced 300-MMcfd Cassidy I plant—due for mechanical completion by November 2026 and startup by yearend—to lift the Glasscock County complex’s processing capabilities to 600 MMcfd and the operator’s overall nameplate capacity in Midland basin to 1.1 bcfd, Brazos Midstream said in a release Aug. 11. Already supported by long-term acreage dedications covering about 575,000 acres now in full-scale development from and by the operator’s private and publicly traded producer customers, the proposed Cassidy expansion will enhance Brazos Midstream’s ability to further accommodate increased production in the region, the company said. Presently equipped to accommodate 500 MMcfd of gas volumes in Midland basin following startup of its 200-MMcfd Sundance I and 300-MMcfd Sundance II gas plants in mid-2024 and early 2026, respectively, at the company’s Sundance complex in Martin County, Tex., anticipated startup of the Cassidy I plant later this year will enable the operator’s Midland basin processing system to handle already oversubscribed volumes. Brazos Midstream said volumes currently moving from customers to the Sundance complex—equipped with an overall nameplate capacity of only 500 MMcfd—are exceeding 700 MMcfd following the recent addition of its new long-term contract with an unidentified supermajor. “Our producer customers are accelerating development in deeper formations like the Barnett, with higher gas-to-oil ratios, dramatically increasing natural gas production across the Brazos system,” said Stephen Luskey, Brazos Midstream’s chief commercial officer. “This growth coupled with our continued commercial success unlocks the next phase of

Arrow Energy advances Surat Gas Project

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EIA: US crude inventories up 17.4 million bbl

US crude oil inventories for the week ended Aug. 7, excluding the Strategic Petroleum Reserve, increased by 17.4 million bbl from the previous week, according to data from the US Energy Information Administration (EIA). At 424.4 million bbl, US crude oil inventories are about 2% below the 5-year average for this time of year, the EIA report indicated. EIA said total motor gasoline inventories decreased by 1.0 million bbl from last week and are 6% below the 5-year average for this time of year. Finished gasoline inventories and blending components inventories both decreased last week. Distillate fuel inventories decreased by 100,000 bbl last week and are about 12% below the 5-year average for this time of year. Propane-propylene inventories increased by 1.9 million bbl from last week and are 31% above the 5-year average for this time of year, EIA said. US crude oil refinery inputs averaged 17.2 million b/d for the week ended Aug. 7, which was 26,000 b/d more than the previous week’s average. Refineries operated at 96.2% of capacity. Gasoline production decreased, averaging 9.6 million b/d. Distillate fuel production increased, averaging 5.3 million b/d. US crude oil imports averaged 7.3 million b/d, up 1.14 million b/d from the previous week. Over the last 4 weeks, crude oil imports averaged 6.3 million b/d, 0.1% more than the same 4-week period last year. Total motor gasoline imports averaged 583,000 b/d. Distillate fuel imports averaged 111,000 b/d.

Navitas to acquire interests in Tiberius, Logan discoveries in deepwater US Gulf

Navitas Petroleum Ltd. has agreed to acquire a 33.33% participating interest in the Tiberius and Logan oil discoveries in the US Gulf of Mexico from Kosmos Energy and Occidental Petroleum. Kosmos disclosed in its second-quarter 2026 results that it had completed a farm-down of the operated Tiberius project, bringing in Navitas as a new partner. The discoveries lie about 20 km southeast of Buckskin field and are expected to be developed through the Lucius floating production unit. Tiberius, operated by Kosmos, is under development about 400 km south of New Orleans in about 2,283 m of water. It lies in the outboard Wilcox play and covers about 70 sq km. Partners reached a final investment decision on the Phase 1A development this year, which includes completion of an already drilled well. Long-lead items have been secured and first oil is expected by the end of third-quarter 2028. Subsequent phases could include completion of a second well and later drilling and tieback of two additional wells. Existing production-handling arrangements allow Tiberius throughput to increase to as much as 30,000 b/d of oil and 9 MMscfd of natural gas, including about 13,000 b/d of oil attributable to Phase 1A, Navitas said. Logan is a nearby proved discovery operated by Occidental, which plans work in the coming years to advance appraisal activities and formulate a field development plan, Navitas said. The common ownership structure and proximity of Logan and Tiberius could enable Logan to be tied back through Tiberius subsea infrastructure and the Lucius host infrastructure, the company continued. Under the agreements, Navitas will reimburse about $4.6 million for its share of Tiberius costs incurred since the Jan. 1, 2026, effective date and will carry up to $68 million of future Tiberius development costs as reimbursement of historical expenditures incurred by the sellers before

Murphy Oil adds $300 million to 2026 capex plans

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National Grid, Con Edison urge FERC to adopt gas pipeline reliability requirements

The Federal Energy Regulatory Commission should adopt reliability-related requirements for gas pipeline operators to ensure fuel supplies during cold weather, according to National Grid USA and affiliated utilities Consolidated Edison Co. of New York and Orange and Rockland Utilities. In the wake of power outages in the Southeast and the near collapse of New York City’s gas system during Winter Storm Elliott in December 2022, voluntary efforts to bolster gas pipeline reliability are inadequate, the utilities said in two separate filings on Friday at FERC. The filings were in response to a gas-electric coordination meeting held in November by the Federal-State Current Issues Collaborative between FERC and the National Association of Regulatory Utility Commissioners. National Grid called for FERC to use its authority under the Natural Gas Act to require pipeline reliability reporting, coupled with enforcement mechanisms, and pipeline tariff reforms. “Such data reporting would enable the commission to gain a clearer picture into pipeline reliability and identify any problematic trends in the quality of pipeline service,” National Grid said. “At that point, the commission could consider using its ratemaking, audit, and civil penalty authority preemptively to address such identified concerns before they result in service curtailments.” On pipeline tariff reforms, FERC should develop tougher provisions for force majeure events — an unforeseen occurence that prevents a contract from being fulfilled — reservation charge crediting, operational flow orders, scheduling and confirmation enhancements, improved real-time coordination, and limits on changes to nomination rankings, National Grid said. FERC should support efforts in New England and New York to create financial incentives for gas-fired generators to enter into winter contracts for imported liquefied natural gas supplies, or other long-term firm contracts with suppliers and pipelines, National Grid said. Con Edison and O&R said they were encouraged by recent efforts such as North American Energy Standard

US BOEM Seeks Feedback on Potential Wind Leasing Offshore Guam

The United States Bureau of Ocean Energy Management (BOEM) on Monday issued a Call for Information and Nominations to help it decide on potential leasing areas for wind energy development offshore Guam. The call concerns a contiguous area around the island that comprises about 2.1 million acres. The area’s water depths range from 350 meters (1,148.29 feet) to 2,200 meters (7,217.85 feet), according to a statement on BOEM’s website. Closing April 7, the comment period seeks “relevant information on site conditions, marine resources, and ocean uses near or within the call area”, the BOEM said. “Concurrently, wind energy companies can nominate specific areas they would like to see offered for leasing. “During the call comment period, BOEM will engage with Indigenous Peoples, stakeholder organizations, ocean users, federal agencies, the government of Guam, and other parties to identify conflicts early in the process as BOEM seeks to identify areas where offshore wind development would have the least impact”. The next step would be the identification of specific WEAs, or wind energy areas, in the larger call area. BOEM would then conduct environmental reviews of the WEAs in consultation with different stakeholders. “After completing its environmental reviews and consultations, BOEM may propose one or more competitive lease sales for areas within the WEAs”, the Department of the Interior (DOI) sub-agency said. BOEM Director Elizabeth Klein said, “Responsible offshore wind development off Guam’s coast offers a vital opportunity to expand clean energy, cut carbon emissions, and reduce energy costs for Guam residents”. Late last year the DOI announced the approval of the 2.4-gigawatt (GW) SouthCoast Wind Project, raising the total capacity of federally approved offshore wind power projects to over 19 GW. The project owned by a joint venture between EDP Renewables and ENGIE received a positive Record of Decision, the DOI said in

Biden Bars Offshore Oil Drilling in USA Atlantic and Pacific

President Joe Biden is indefinitely blocking offshore oil and gas development in more than 625 million acres of US coastal waters, warning that drilling there is simply “not worth the risks” and “unnecessary” to meet the nation’s energy needs. Biden’s move is enshrined in a pair of presidential memoranda being issued Monday, burnishing his legacy on conservation and fighting climate change just two weeks before President-elect Donald Trump takes office. Yet unlike other actions Biden has taken to constrain fossil fuel development, this one could be harder for Trump to unwind, since it’s rooted in a 72-year-old provision of federal law that empowers presidents to withdraw US waters from oil and gas leasing without explicitly authorizing revocations. Biden is ruling out future oil and gas leasing along the US East and West Coasts, the eastern Gulf of Mexico and a sliver of the Northern Bering Sea, an area teeming with seabirds, marine mammals, fish and other wildlife that indigenous people have depended on for millennia. The action doesn’t affect energy development under existing offshore leases, and it won’t prevent the sale of more drilling rights in Alaska’s gas-rich Cook Inlet or the central and western Gulf of Mexico, which together provide about 14% of US oil and gas production. The president cast the move as achieving a careful balance between conservation and energy security. “It is clear to me that the relatively minimal fossil fuel potential in the areas I am withdrawing do not justify the environmental, public health and economic risks that would come from new leasing and drilling,” Biden said. “We do not need to choose between protecting the environment and growing our economy, or between keeping our ocean healthy, our coastlines resilient and the food they produce secure — and keeping energy prices low.” Some of the areas Biden is protecting

Biden Admin Finalizes Hydrogen Tax Credit Favoring Cleaner Production

The Biden administration has finalized rules for a tax incentive promoting hydrogen production using renewable power, with lower credits for processes using abated natural gas. The Clean Hydrogen Production Credit is based on carbon intensity, which must not exceed four kilograms of carbon dioxide equivalent per kilogram of hydrogen produced. Qualified facilities are those whose start of construction falls before 2033. These facilities can claim credits for 10 years of production starting on the date of service placement, according to the draft text on the Federal Register’s portal. The final text is scheduled for publication Friday. Established by the 2022 Inflation Reduction Act, the four-tier scheme gives producers that meet wage and apprenticeship requirements a credit of up to $3 per kilogram of “qualified clean hydrogen”, to be adjusted for inflation. Hydrogen whose production process makes higher lifecycle emissions gets less. The scheme will use the Energy Department’s Greenhouse Gases, Regulated Emissions and Energy Use in Transportation (GREET) model in tiering production processes for credit computation. “In the coming weeks, the Department of Energy will release an updated version of the 45VH2-GREET model that producers will use to calculate the section 45V tax credit”, the Treasury Department said in a statement announcing the finalization of rules, a process that it said had considered roughly 30,000 public comments. However, producers may use the GREET model that was the most recent when their facility began construction. “This is in consideration of comments that the prospect of potential changes to the model over time reduces investment certainty”, explained the statement on the Treasury’s website. “Calculation of the lifecycle GHG analysis for the tax credit requires consideration of direct and significant indirect emissions”, the statement said. For electrolytic hydrogen, electrolyzers covered by the scheme include not only those using renewables-derived electricity (green hydrogen) but

Xthings unveils Ulticam home security cameras powered by edge AI

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Xthings announced that its Ulticam security camera brand has a new model out today: the Ulticam IQ Floodlight, an edge AI-powered home security camera. The company also plans to showcase two additional cameras, Ulticam IQ, an outdoor spotlight camera, and Ulticam Dot, a portable, wireless security camera. All three cameras offer free cloud storage (seven days rolling) and subscription-free edge AI-powered person detection and alerts. The AI at the edge means that it doesn’t have to go out to an internet-connected data center to tap AI computing to figure out what is in front of the camera. Rather, the processing for the AI is built into the camera itself, and that sets a new standard for value and performance in home security cameras. It can identify people, faces and vehicles. CES 2025 attendees can experience Ulticam’s entire lineup at Pepcom’s Digital Experience event on January 6, 2025, and at the Venetian Expo, Halls A-D, booth #51732, from January 7 to January 10, 2025. These new security cameras will be available for purchase online in the U.S. in Q1 and Q2 2025 at U-tec.com, Amazon, and Best Buy. The Ulticam IQ Series: smart edge AI-powered home security cameras Ulticam IQ home security camera. The Ulticam IQ Series, which includes IQ and IQ Floodlight, takes home security to the next level with the most advanced AI-powered recognition. Among the very first consumer cameras to use edge AI, the IQ Series can quickly and accurately identify people, faces and vehicles, without uploading video for server-side processing, which improves speed, accuracy, security and privacy. Additionally, the Ulticam IQ Series is designed to improve over time with over-the-air updates that enable new AI features. Both cameras

Intel unveils new Core Ultra processors with 2X to 3X performance on AI apps

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Intel unveiled new Intel Core Ultra 9 processors today at CES 2025 with as much as two or three times the edge performance on AI apps as before. The chips under the Intel Core Ultra 9 and Core i9 labels were previously codenamed Arrow Lake H, Meteor Lake H, Arrow Lake S and Raptor Lake S Refresh. Intel said it is pushing the boundaries of AI performance and power efficiency for businesses and consumers, ushering in the next era of AI computing. In other performance metrics, Intel said the Core Ultra 9 processors are up to 5.8 times faster in media performance, 3.4 times faster in video analytics end-to-end workloads with media and AI, and 8.2 times better in terms of performance per watt than prior chips. Intel hopes to kick off the year better than in 2024. CEO Pat Gelsinger resigned last month without a permanent successor after a variety of struggles, including mass layoffs, manufacturing delays and poor execution on chips including gaming bugs in chips launched during the summer. Intel Core Ultra Series 2 Michael Masci, vice president of product management at the Edge Computing Group at Intel, said in a briefing that AI, once the domain of research labs, is integrating into every aspect of our lives, including AI PCs where the AI processing is done in the computer itself, not the cloud. AI is also being processed in data centers in big enterprises, from retail stores to hospital rooms. “As CES kicks off, it’s clear we are witnessing a transformative moment,” he said. “Artificial intelligence is moving at an unprecedented pace.” The new processors include the Intel Core 9 Ultra 200 H/U/S models, with up to

Scaling AI agents with trustworthy data

In partnership withGoogle Cloud Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data being major blockers. Agentic AI places considerable new demands on enterprise data systems. The shift from answering questions to taking actions means AI agents need data from across the enterprise, in all its structured and unstructured forms, and with the right business context. To make decisions and act in real time, agents also need frictionless access to the organization’s operational systems—for example, those storing its supply chain, point-of-sale, or human resources data. Legacy data systems, even those updated just a few years ago, struggle to meet these demands. As AI agents become embedded more widely in enterprise operations, the need to overcome the restrictions of legacy data systems grows more urgent. If Gartner’s prediction that AI agents will augment or automate 50% of business decisions by 2027 proves correct, organizations must eliminate bottlenecks or risk depriving agents of the data they need to make the right decisions at speed. This report, based on a survey of 300 data and technology executives, explores how legacy systems are limiting the effectiveness of AI agents in many organizations. It finds that a handful of organizations—the data leaders—are having greater success with agentic AI and experiencing fewer data limitations as a result of legacy systems. These leaders offer a guide to creating the right data environment for agents to flourish and trusted systems to scale.
Key findings from the report include: Few companies currently provide agentic AI with ample access to enterprise data. Across all the surveyed organizations, AI only has access to an average of 45% of company data. That number falls to 30% or less in organizations categorized as “data laggards”. A select group, however, ensures access to over 70% of their data. These “data leaders” are having greater success with their agents than the rest.
Trust in agent decisions is a reflection of data readiness. Today, only around half of surveyed organizations trust that the decisions their AI agents make are accurate and relevant. By contrast, 100% of the data leaders trust their agents’ decisions, a strong indicator that reliable AI requires a reliable data foundation. Data leaders find it easier to achieve agent scale and speed. Two-thirds of data laggards say legacy data systems limit AI agent scaling (66%) and prevent agents from making decisions at speed (68%). Having largely overcome legacy data constraints, the leaders have mostly cleared these roadblocks, with just 8% reporting either constraint. The pressure is on to make data estates agent-ready. Within two years, 100% of respondents plan to be using agentic AI, with 69% expecting to use it widely. Without removing data system constraints, agentic AI will fail to deliver the desired speed and efficiencies it promises. Data access and context are top priorities. The most important initiative to enable scaling among all respondents is improving access to structured and unstructured data for AI agents. Also high on the list is enhancing data and AI governance with business context. Data leaders are also focusing heavily on the automation of data management. Download the full report. 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. It 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.

Putting sign language AI into users’ hands

Building with the communityWe believe in building with the Deaf community, not just for it. Deaf perspectives have shaped every stage of this project — from conceptualization by Sam Sepah, a Deaf Googler, to data collection with Deaf partners, evaluation in Deaf user studies, and impact assessment of the technology with Deaf experts.To guide responsible real-world deployment, we established the AI Sign Language Advisory Committee (AISLAC), bringing together many global Deaf organizations and subject-matter experts. Through this participatory governance model, the communities most impacted by our technology directly influence our development priorities. We co-authored a joint impact report for the release of SL2T 1.0 in Gboard and Live Transcribe, transparently detailing the technology’s capabilities and current limitations — a collaborative approach we plan to continue for all major sign language releases.Looking aheadSL2T builds upon decades of foundational research across academia and industry, but bringing ASL input to users’ phones is only the beginning. Google’s mission is to organize the world’s information and make it universally accessible and useful. Achieving universal accessibility means reaching full parity with spoken and written languages. Our team is working to expand this technology into additional sign languages, sign language generation, and frontier AI capabilities. We look forward to sharing our progress responsibly in order to make access through sign languages standard across the digital landscape.You can experience SL2T in Gboard and Live Transcribe first on Pixel 11, with more devices coming soon — all at no additional cost.AcknowledgementsThis work was done jointly by teams from Google DeepMind and Android. The core team who developed the SL2T model is: Garrett Tanzer, Benoit Brard, Elizabeth Clark, Tim Dozat, Sebastian Ebert, Dan Garrette, Manfred Georg, Vicky Holgate, Shankar Kumar, Mohammad Saboorian, Miloš Stanojević, Megh Umekar, John Wieting, Andy Zhang, and Chris Dyer.The Android team who integrated the model into Gboard and Live Transcribe is: Ausmus Chang, Sai Aditya Chitturu, Dayle Chiu, Anna Chou, Ajay Dudani, Angana Ghosh, Alex Huang, Joanne Kim, Ed Lee, Thomas Lin, James Su, Yanchao Su, and Sharlene Yuan.We are grateful for additional support from Anelia Angelova, Abhishek Bapna, Sara Basson, Glenn Cameron, Scott Crowell, Trevor Cohn, Noah Fiedel, Zoubin Ghahramani, Raia Hadsell, Tom Hudson, Alexander Hauerslev Jensen, Kazuya Kawakami, Peike Li, Liam McCafferty, Caroline Pantofaru, Abhinav Parashar, Christopher Patnoe, Laura Rimell, Sam Sepah, Thad Starner, Dave Uthus, and Biao Zhang.Many thanks also go to those who participated in early stage testing of our models.

The Download: our 35 young innovators and the “censorship-industrial complex”

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. How we picked 35 of the world’s top young scientists and engineers On September 8, MIT Technology Review will reveal its 2026 list of Innovators Under 35, recognizing 35 young people from around the world who are doing groundbreaking scientific work and building clever technical fixes for sticky problems. By finding the top young innovators globally and learning what they’re focused on in their work, we aim to give readers a sense of what advances to expect in the years to come. As a newsroom, we also use this exercise to help us spot rising talent and get to know some of the best early-career researchers in the fields that we cover.
This year, we received 550 nominations. Find out how we whittled them down to 35 of the young innovators shaping the future of technology, and check out last year’s list. —Amy Nordrum
How the “censorship-industrial complex” is changing the internet and US policy —Eileen Guo I first heard the term “censorship-industrial complex” on April 15, 2025. That’s when I got the tip that a small office in the US State Department, which focused on monitoring and countering foreign disinformation from the likes of Russia, Iran, and China, was facing imminent shutdown—the next day. And the reason? The office was accused of serving as the department’s central hub in the so-called censorship-industrial complex—a sprawling constellation of government agencies, academics, civil society groups, and Big Tech platforms allegedly conspiring to suppress conservative and populist speech online under the guise of combating disinformation. I broke the story on April 16. But for me, it was just the start of a deep reporting rabbit hole into an idea that had moved from the fringes of the right-wing internet into the Trump administration. For more on what the narrative means for the internet, read my story here. MIT Technology Review Narrated: Montana’s plan to become an experimental medical hub just pushed forward At the end of July, any biotech company in Montana with an experimental drug gained a clear path to selling it to consumers. Companies whose drugs have been through preliminary testing—sometimes in as few as 10 healthy people—can pay $12,500 to apply to a newly established review board. Once approved, they can set their own prices and sell the drugs through experimental treatment clinics, the first of which is likely to open around the end of this year. Montana’s latest right-to-try legislation is unique. While similar laws elsewhere limit access to people with terminal illness, Montana’s system is theoretically open to anyone who gives informed consent and can pay. That includes people desperate for treatments for rare diseases. It also includes those interested in longevity and drugs pitched as preventive therapies.

—Jessica Hamzelou This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we publish each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 China-linked hackers have hit Taiwan in an “unprecedented” AI attackThey used open-source agents to compromise government websites. (FT $)+ UK military drones were found sending a signal to China. (Cybernews)+ Taiwan’s “silicon shield” could be weakening. (MIT Technology Review) 2 Wall Street firms are paying $100,000 a month to get Trump posts firstTrump Media said more than 10 firms have signed up for the service. (CNN)+ It offers faster access to market-moving posts on Truth Social. (BBC)+ Trump Media also lost $238 million as crypto holdings fell. (CNBC) 3 ICE plans to give officers gloves that can deliver painful electric shocksIt’s set to spend up to $20 million to buy thousands of the devices. (AP News)+ A switch turns them from normal gloves into “electrical mode.” (Guardian) 4 Spotify will label AI artists and stop recommending themThe platform is cracking down on fake performers. (Guardian)+ “AI personas” will appear on artist profiles and track listings. (NYT $) 5 Social media spurred a deadly migrant surge from Morocco to SpainDisinformation encouraged thousands to attempt the crossing. (NYT $) 6 Anthropic’s Claude is adding watermarks to AI text and imagesIt could guarantee votes are counted and kept anonymous. (Axios)7 Drugs that mimic the brain’s wakefulness signal are taking offOrexin drugs could treat sleep disorders, ADHD and addiction. (Economist $)+ But psychedelics are falling short in clinical trials. (MIT Technology Review) 8 Cargo thieves have turned to violence to steal AI hardwareShipments have disappeared after their escorts were attacked. (Wired $)9 Scientists may have found the elusive glueball, a particle made of forceA Chinese collider has produced the strongest evidence yet. (Science)10 A firm selling “100% human-written, never AI” research is entirely AIThe reviewers on the Research Gold site are AI-generated. (404 Media) Quote of the day “I think the fourth wave of slop will be when there’s no longer any meaningful quality hit in slop, when the average piece of slop is better than the best human in that field.” —Kevin Roose, a technology columnist at The New York Times, tells the Pivot podcast what the next stage of AI slop will look like.
One More Thing PATRICK LEGER Are we ready to hand AI agents the keys? We’re starting to give AI agents real autonomy, and we’re not prepared for what could happen next. Any action that can be captured by text is potentially within the purview of AI agents—which is why they can cause so much mischief.
“The great paradox of agents is that the very thing that makes them useful—that they’re able to accomplish a range of tasks—involves giving away control,” says Iason Gabriel, a senior staff research scientist at Google DeepMind who focuses on AI ethics. Researchers warn that agents could misinterpret goals, leak sensitive information, fall victim to prompt-injection attacks, and exploit software vulnerabilities at scale. And there’s no foolproof way to guarantee that they’ll act as their developers intend.

How we picked 35 of the world’s top young scientists and engineers

Next month, on September 8, MIT Technology Review will reveal its 2026 list of Innovators Under 35, recognizing 35 young people from around the world who are doing groundbreaking scientific work and building clever technical fixes for sticky problems. By finding the top young innovators globally and learning what they’re focused on in their work, we aim to give readers a sense of what advances to expect in the years to come. As a newsroom, we also use this exercise to help us spot rising talent and get to know some of the best early-career researchers in the fields that we cover. The editors of MIT Technology Review published the first Innovators Under 35 list in 1999, and it’s become a beloved annual tradition alongside our lists of 10 Breakthrough Technologies, 10 Climate Tech Companies to Watch, and (new this year) 10 Things That Matter in AI Right Now. The people we’ve featured through the years have gone on to shape the tech industry and our broader culture, from Lisa Su (featured in 2002), whose stunning turnaround of AMD has built it into one of the top chipmakers worldwide, to Daniel Ek (featured in 2012), who cofounded Spotify (which we described at the time as “a jukebox in the cloud”). Subscribers can browse all the past honorees in this database.
Selecting the 2026 Innovators was a monthslong endeavor. This year, we received 550 nominations, both from staff and via our public nomination process. From those entries, our editors selected 110 semifinalists. We looked for candidates who were setting out to solve big problems or answer pressing scientific questions in their work, and who had already made clear progress toward their goals. All semifinalists then completed an application to help us learn more about them. They collected reference letters, uploaded videos, and submitted résumés. Forty-four expert judges then helped us evaluate these applications. Some of these judges are former Innovators themselves. Many have returned year after year to volunteer their time, energy, and expertise to the judging process. We’re grateful for their efforts.
In the end, our editors reviewed all of the judges’ scores and comments and selected the 35 winners. Each works in one of four categories: biotechnology, artificial intelligence, computing and robotics, and climate and energy. “These Innovators represent some of the best aspects of science and technology research—pushing forward bold ideas to improve the future for everyone,” says Costa Samaras, a 2026 judge who is also the director of Carnegie Mellon’s Scott Institute for Energy Innovation. The 2026 list of Innovators will be available to MIT Technology Review subscribers on our site on September 8. To access the package when it comes out online, you can subscribe now via this link. It will also be published in the September/October issue, which will be available on newsstands worldwide on August 31. Do you know someone who deserves a spot on next year’s list? Nominations for the 2027 competition will open by early December. Check back then or sign up for our daily newsletter The Download to stay in the loop.

How the “censorship-industrial complex” is changing the Internet and US policy

I first heard the term “censorship-industrial complex” on April 15, 2025. That’s when I got the tip that a small office in the U.S. State Department, which focused on monitoring and countering foreign disinformation from the likes of Russia, Iran, and China, was facing imminent shutdown—the next day. And the reason? R/FIMI, as the office was called, was accused of serving as the State Department’s central hub in the so-called censorship-industrial complex—a sprawling constellation of government agencies, academics, civil society groups, and Big Tech platforms allegedly conspiring to suppress conservative and populist speech online under the guise of combating disinformation. I broke the story around 10:30AM on April 16, (and broke more in the weeks that followed) but for me, it was just the start of a deep reporting rabbit-hole into an idea that had moved from the fringes of the right-wing Internet into the mainstream, championed and spread by a network of well-funded conservative media platforms and non-profits, and finally as a sort of prevailing logic behind much of the second Trump administration’s domestic and foreign policy. But this isn’t just a policy story. The weaponization of ideas about censorship also affects the billions of people globally who get information, or interact with each other, online—which is to say, all of us. For more on what the narrative means for the Internet, read my story here.

The Download: the next big thing in LLMs and how AI academic research is shifting

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. These startups are chasing the next big thing in LLMs Nine years after Google researchers introduced the transformer, this family of neural networks has become the engine inside every major large language model. But transformers are starting to show their age. As LLMs get bigger and better, transformers have become a bottleneck. Their dense attention mechanism becomes increasingly expensive as the amount of text grows, and they’re not great at keeping track of a lot of information at once. Here are four new ideas for how to solve the transformer problem—innovations that could change LLMs for good, making them faster, far more efficient, and (maybe) even smarter.
—Will Douglas Heaven This story is from MIT Technology Review’s What’s Next series, which looks across industries, trends, and technologies to give you a first look at the future. You can read the rest of them here.
AI professors are negotiating the new realities of academic research —Grace Huckins Last week, I headed to a hotel in Mountain View, California, to join some of the most accomplished, and some of the most promising, AI researchers in the world. I was hosting roundtable interviews and speaking at a media training for a convening of the Schmidt Sciences AI2050 program, an initiative funded by Eric and Wendy Schmidt that supports academics whose work involves AI. The fellows list is a who’s who of AI luminaries, and though not all of them made it out to the Bay, every time I turned a corner I saw a scientist whom I’d interviewed previously or whose research I admired. It’s a weird time for university AI researchers, who make up most of the AI2050 group. Read Grace’s story to find out why, and what could be coming next. This story is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday. The must-reads I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology. 1 Nvidia has secured $500 billion from Wall Street for AI infrastructureIt’s struck deals with BlackRock, Goldman Sachs, and four others. (BBC)+ Showing the pull of AI compute for ⁠institutional investors. (Reuters $)+ And that AI infrastructure is becoming a new asset class. (CNBC) 2 Mark Zuckerberg’s new manifesto says open-source AI can save the USIt presents a utopian vision of personalized “superintelligence.” (Guardian)+ And arrived the same day as Meta’s new, open-source model. (NYT $)+ Zuckerberg said he plans to launch more of these models. (WSJ $)+ And pit Meta against Chinese open-weight developers. (SCMP) 3 Bernie Sanders has called on Silicon Valley to “pause AI development”He noted that AI giants have pledged to do this if necessary for safety.+ And warned that lawmakers will step in if no action is taken. (Guardian)+ House Democrats are already pressing AI leaders over rogue models. (WP $)+ A populist backlash is building against AI. (MIT Technology Review) 4 A US court will allow thousands of social media lawsuits to proceedThe suits target addictive mechanisms used by Meta, TikTok, Google, and Snapchat. (Axios)+ They claim the platforms are designed to hook young users. (Reuters $)+ Can we repair the internet? (MIT Technology Review) 5 Unitree’s IPO is more than 8,000 times oversubscribed by retailThe Chinese humanoid firm raised $900 million ahead of its listing. (Reuters $)+ Its pricing for the Shanghai IPO values the company at $9 billion. (FT $)6 Flock’s car-tracking cameras are facing a bipartisan backlashThe surveillance network has spread rapidly across the US. (NYT $)+ Flock also plans to chase shoplifters with drones. (MIT Technology Review) 7 China is breaking up AI relationshipsBeijing has introduced new rules for emotionally interactive AI. (Rest of World)+ It’s surprisingly easy to fall for a chatbot. (MIT Technology Review) 8 An AI tool claims to pick the best 1% of scientific papersBut researchers doubt that AI can reliably judge scientific quality. (Nature)9 The AI slop backlash is workingIt’s pushing platforms to restrict AI-generated content. (Wired $)10 An 82-year-old rejected $26 million to turn her farm into a data centerShe criticised the environmental impacts of data centers. (Fortune) Quote of the day

“It is not too late to avoid disaster. Stop building machines that humans cannot control.” —Senator Bernie Sanders urges Sam Altman, Dario Amodei, and Mark Zuckerberg to pause all AI development in a letter. One More Thing The race to make the perfect baby is creating an ethical mess A new field of science is using genetic sequencing to predict what kind of person an embryo might become. Some parents turn to these tests to avoid devastating genetic disorders, while a much smaller group are willing to pay tens of thousands of dollars to optimize for intelligence, appearance, and personality. Customers, however, may not be getting what they’re paying for. Genetics experts have highlighted the potential deficiencies of this testing for years, while its underlying assumptions have made these companies a political lightning rod.

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