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Chevron resumes natural gas production at Leviathan

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QatarEnergy, ExxonMobil reach first production from Train 1 at Golden Pass

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US crude output sets new record in 2025, Permian leads growth

Crude oil production in the US hit 13.6 million b/d in 2025, up 3% from the prior year, marking a new annual high, according to the US Energy Information Administration‘s (EIA) Short-Term Energy Outlook (STEO). Most of the increase came from the Lower 48 (excluding the Gulf of Mexico), which contributed 11.3 million b/d—roughly 83% of total production. Alaska and the US federal offshore Gulf of Mexico supplied the remainder. Production gains came despite a dip in drilling activity. Active rigs in the Lower 48 fell 5%, and completions slipped 1% versus 2024. Efficiency improvements kept output rising. New wells added 2.9 million b/d, while existing wells continued producing 8.3 million b/d. The slowdown reflected weaker prices, with WTI averaging $65/bbl, down from $77/bbl in 2024. The Permian basin remained the powerhouse of US production, accounting for 48% of total output at 6.6 million b/d and driving most of the year’s growth with a 280,000 b/d gain. Dallas Fed survey data show breakeven costs of $61–62/bbl in the Permian’s Midland and Delaware basins, supporting production even at lower prices. Elsewhere, output in the Eagle Ford and Bakken held mostly steady, each contributing about 9% of US crude. Eagle Ford edged up 18,000 b/d to 1.2 million b/d, while Bakken slipped 30,000 b/d to 1.2 million b/d. Five Gulf of Mexico projects supported 2025 production gains, combining new floating production units and subsea tiebacks. Output increased by 111,000 b/d to average 1.9 million b/d in 2025. The Shell plc-operated Whale development started production in January 2025. The deepwater development lies in more than 8,600 ft of water and is expected to produce about 85,000 b/d at peak. Shell’s Dover project came online in April as a tieback to the Appomattox hub, contributing 15,000 b/d. Also online in April was the Chevron-operated Ballymore project.

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Greenland Energy secures rig for Arctic exploration

Greenland Energy Co. signed a drilling agreement with Stampede Drilling Inc. to provide a high-performance rig and services for upcoming operations in the Jameson Land basin. This agreement ensures the availability of Stampede’s Rig #12, equipped for Arctic conditions, to mobilize crews and execute drilling. Under a 5-year agreement, plans call for drilling up to two wells. Greenland Energy Co. was formed following completion of a deal to combine Pelican Holdco Inc., Pelican Acquisition Corp., March GL Co., and Greenland Exploration Ltd.  According to 80 Mile PLC, Greenland Energy’s joint venture partner, the plan calls for each well to drill to a minimum depth of 3,500 m in an effort to delineate the hydrocarbon potential of the basin, which it said is analogous to the Norwegian Haltenbanken and Barents Sea provinces. Four petroleum systems have been identified with key source rocks – Upper Jurassic, Hareelv & Permian Ravnefjeld formations. Jameson comprises about two million acres in East Greenland. An independent prospective resources report prepared by Sproule ERCE estimated 13.03 billion bbl (P10) of gross un-risked recoverable prospective oil resources across the upper levels of the Jameson basin, 80 Mile PLC said in a February release. The partner also noted Greenland Energy has mobilized heavy equipment to East Greenland in preparation for drilling in this year’s second half, subject to regulatory approvals, and that Halliburton and IPT Well Solutions have been contracted to perform drilling services.

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Chevron’s Aseng project advances with subsea infrastructure contract

@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; } Noble Energy EG Ltd., a Chevron Corp. company, has let a contract to Subsea 7 for the subsea installation scope on the Aseng Gas Monetization Project offshore Equatorial Guinea. The work covers the transport and installation of about 19 km of rigid production flowline and 20 km of umbilicals, along with associated subsea structures and tie-ins in water depths of 800 m. Project management and engineering will begin immediately and will be managed from Subsea7’s Paris office, with additional support from teams in Lisbon and Equatorial Guinea. Offshore activities are expected to begin this year.  Gas volumes from Aseng are expected to underpin the technical and commercial viability of multiple downstream and upstream developments under the Extended Gas Mega Hub initiative, including the Alen Tail, Yoyo-Yolanda, new drilling in Chevron-operated blocks, and potential cross-border gas flows through Gulf of Guinea pipeline infrastructure.

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Oil prices surge as Iran war escalates, IEA warns of historic supply shock

Global oil markets rallied sharply on Thursday, Apr. 2, after US President Donald Trump signaled that military operations against Iran would continue “well into April,” raising fears of prolonged disruption to one of the world’s most critical energy corridors and triggering a fresh wave of volatility across commodities and financial markets. The renewed advance came just one day after markets had briefly turned more optimistic on hopes that the war might wind down soon. But Trump’s tougher tone shifted sentiment quickly, with investors focusing again on the Strait of Hormuz, the critical waterway that normally carries about one-fifth of the world’s oil and LNG trade. With traffic through the strait still heavily disrupted, the market remains highly sensitive to any sign that the conflict could drag on. Brent crude climbed toward $110/bbl in early trading, reversing earlier losses, as investors rapidly repriced geopolitical risk following Trump’s remarks that US forces would “finish the job” in Iran. Looming energy supply shock The latest market move also comes as the International Energy Agency (IEA) warns the unfolding crisis could evolve into the largest energy supply shock in modern history. Speaking this week, IEA Executive Director Fatih Birol said disruptions tied to the conflict are already mounting and could intensify significantly in April, with Europe among the most exposed regions. “The next month, April, will be much worse than March,” Birol said in an interview with Nicolai Tangen, chief executive officer of Norway’s Norges Bank Investment Management, on Tangen’s “In Good Company” podcast. The reason, Birol explained, is simple logistics. A trickle of cargo ships that entered the Strait before the US-Israel strikes on Iran have been continuing to deliver oil and gas to ports throughout March. “They are still coming to ports, still bringing oil and energy and other things,” he said.

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Chevron resumes natural gas production at Leviathan

@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; } Chevron Mediterranean Ltd. restarted production at the Leviathan natural gas field 130 km offshore Haifa in the eastern Mediterranean after a suspension due to the Iran war, partner NewMed Energy said in a release.  The operator had previously received clearance from the Petroleum Commissioner to proceed with preparations to resume operations at the Leviathan platform offshore Israel. Regular production from the reservoir was restarted on Apr. 2. Chevron is operator at Leviathan (39.66%) with partners NewMed Energy (45.34%) and Ratio Energies (15%). 

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QatarEnergy, ExxonMobil reach first production from Train 1 at Golden Pass

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US crude output sets new record in 2025, Permian leads growth

Crude oil production in the US hit 13.6 million b/d in 2025, up 3% from the prior year, marking a new annual high, according to the US Energy Information Administration‘s (EIA) Short-Term Energy Outlook (STEO). Most of the increase came from the Lower 48 (excluding the Gulf of Mexico), which contributed 11.3 million b/d—roughly 83% of total production. Alaska and the US federal offshore Gulf of Mexico supplied the remainder. Production gains came despite a dip in drilling activity. Active rigs in the Lower 48 fell 5%, and completions slipped 1% versus 2024. Efficiency improvements kept output rising. New wells added 2.9 million b/d, while existing wells continued producing 8.3 million b/d. The slowdown reflected weaker prices, with WTI averaging $65/bbl, down from $77/bbl in 2024. The Permian basin remained the powerhouse of US production, accounting for 48% of total output at 6.6 million b/d and driving most of the year’s growth with a 280,000 b/d gain. Dallas Fed survey data show breakeven costs of $61–62/bbl in the Permian’s Midland and Delaware basins, supporting production even at lower prices. Elsewhere, output in the Eagle Ford and Bakken held mostly steady, each contributing about 9% of US crude. Eagle Ford edged up 18,000 b/d to 1.2 million b/d, while Bakken slipped 30,000 b/d to 1.2 million b/d. Five Gulf of Mexico projects supported 2025 production gains, combining new floating production units and subsea tiebacks. Output increased by 111,000 b/d to average 1.9 million b/d in 2025. The Shell plc-operated Whale development started production in January 2025. The deepwater development lies in more than 8,600 ft of water and is expected to produce about 85,000 b/d at peak. Shell’s Dover project came online in April as a tieback to the Appomattox hub, contributing 15,000 b/d. Also online in April was the Chevron-operated Ballymore project.

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Greenland Energy secures rig for Arctic exploration

Greenland Energy Co. signed a drilling agreement with Stampede Drilling Inc. to provide a high-performance rig and services for upcoming operations in the Jameson Land basin. This agreement ensures the availability of Stampede’s Rig #12, equipped for Arctic conditions, to mobilize crews and execute drilling. Under a 5-year agreement, plans call for drilling up to two wells. Greenland Energy Co. was formed following completion of a deal to combine Pelican Holdco Inc., Pelican Acquisition Corp., March GL Co., and Greenland Exploration Ltd.  According to 80 Mile PLC, Greenland Energy’s joint venture partner, the plan calls for each well to drill to a minimum depth of 3,500 m in an effort to delineate the hydrocarbon potential of the basin, which it said is analogous to the Norwegian Haltenbanken and Barents Sea provinces. Four petroleum systems have been identified with key source rocks – Upper Jurassic, Hareelv & Permian Ravnefjeld formations. Jameson comprises about two million acres in East Greenland. An independent prospective resources report prepared by Sproule ERCE estimated 13.03 billion bbl (P10) of gross un-risked recoverable prospective oil resources across the upper levels of the Jameson basin, 80 Mile PLC said in a February release. The partner also noted Greenland Energy has mobilized heavy equipment to East Greenland in preparation for drilling in this year’s second half, subject to regulatory approvals, and that Halliburton and IPT Well Solutions have been contracted to perform drilling services.

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Chevron’s Aseng project advances with subsea infrastructure contract

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Oil prices surge as Iran war escalates, IEA warns of historic supply shock

Global oil markets rallied sharply on Thursday, Apr. 2, after US President Donald Trump signaled that military operations against Iran would continue “well into April,” raising fears of prolonged disruption to one of the world’s most critical energy corridors and triggering a fresh wave of volatility across commodities and financial markets. The renewed advance came just one day after markets had briefly turned more optimistic on hopes that the war might wind down soon. But Trump’s tougher tone shifted sentiment quickly, with investors focusing again on the Strait of Hormuz, the critical waterway that normally carries about one-fifth of the world’s oil and LNG trade. With traffic through the strait still heavily disrupted, the market remains highly sensitive to any sign that the conflict could drag on. Brent crude climbed toward $110/bbl in early trading, reversing earlier losses, as investors rapidly repriced geopolitical risk following Trump’s remarks that US forces would “finish the job” in Iran. Looming energy supply shock The latest market move also comes as the International Energy Agency (IEA) warns the unfolding crisis could evolve into the largest energy supply shock in modern history. Speaking this week, IEA Executive Director Fatih Birol said disruptions tied to the conflict are already mounting and could intensify significantly in April, with Europe among the most exposed regions. “The next month, April, will be much worse than March,” Birol said in an interview with Nicolai Tangen, chief executive officer of Norway’s Norges Bank Investment Management, on Tangen’s “In Good Company” podcast. The reason, Birol explained, is simple logistics. A trickle of cargo ships that entered the Strait before the US-Israel strikes on Iran have been continuing to deliver oil and gas to ports throughout March. “They are still coming to ports, still bringing oil and energy and other things,” he said.

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Latin America returns to the energy security conversation at CERAWeek

With geopolitical risk central to conversations about energy, and with long-cycle supply once again in focus, Latin America’s mix of hydrocarbons and export potential drew renewed attention at CERAWeek by S&P Global in Houston. Argentina, resource story to export platform Among the regional stories, Argentina stood out as Vaca Muerta was no longer discussed simply as a large unconventional resource, but whether the country could turn resource quality into sustained export capacity.  Country officials talked about scale: more operators, more services, more infrastructure, and a larger industrial base around the unconventional play. Daniel González, Vice Minister of Energy and Mining for Argentina, put it plainly: “The time has come to expand the Vaca Muerta ecosystem.” What is at stake now is not whether the basin works, but whether the country can build enough above-ground capacity and regulatory consistency to keep development moving. Horacio Marín, chairman and chief executive officer of YPF, offered an expansive version of that argument. He said Argentina’s energy exports could reach $50 billion/year by 2031, backed by roughly $130 billion in cumulative investment in oil, LNG, and transportation infrastructure. He said Argentine crude output could reach 1 million b/d by end-2026. He said Argentina wants to be seen less as a recurrent frontier story and more as a future supplier with scale. “The time to invest in Vaca Muerta is now,” Marín said. The LNG piece is starting to take shape. Eni, YPF, and XRG signed a joint development agreement in February to move Argentina LNG forward, with a first phase planned at 12 million tonnes/year. Southern Energy—backed by PAE, YPF, Pampa Energía, Harbour Energy, and Golar LNG—holds a long-term agreement with SEFE for 2 million tonnes/year over 8 years. The movement by global standards is early-stage and relatively modest, but it adds to Argentina’s export

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Market Focus: LNG supply shocks expose limited market flexibility

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Libya’s NOC, Chevron sign MoU for technical study for offshore Block NC146

@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; } The National Oil Corp. of Libya (NOC) signed a memorandum of understanding (MoU) with Chevron Corp. to conduct a comprehensive technical study of offshore Block NC146. The block is an unexplored area with “encouraging geological indicator that could lead to significant discoveries, helping to strengthen national reserves,” NOC noted Chairman Masoud Suleman as saying, noting that the partnership is “a message of confidence in the Libyan investment environment and evidence of the return of major companies to work and explore promising opportunities in our country.” According to the NOC, Libya produces 1.4 million b/d of oil and aims to increase oil production in the coming 3-5 years to 2 million b/d and then to 3 million b/d following years of instability that impacted the country’s production.   Chevron is working to add to its diverse exploration and production portfolio in the Mediterranean and Africa and continues to assess potential future opportunities in the region.  The operator earlier this year entered Libya after it was designated as a winning bidder for Contract Area 106 in the Sirte basin in the 2025 Libyan Bid Round. That followed the January 2026 signing of a

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Finder Energy advances KTJ Project with development area approval

Finder Energy Holdings Ltd. received regulatory approval for a development area covering the Kuda Tasi and Jahal oil fields offshore Timor‑Leste, enabling progression toward field development. Autoridade Nacional do Petróleo (ANP) approved an 88‑sq km development area over the Kuda Tasi and Jahal oil fields (KTJ Project) within PSC 19‑11 offshore Timor‑Leste, representing the first stage of the regulatory approvals process for the project. The declaration of the development area is a precursor to the field development plan (FDP), which Finder is currently preparing for submission to ANP in second‑quarter 2026. Upon approval of the FDP, the development area would secure tenure for up to 25 years or until production ceases, allowing Finder to conduct development and production operations within the area, subject to applicable regulatory approvals and conditions. The company said its upside strategy centers on the potential for the Petrojarl I FPSO to serve as a central processing and export hub for future tiebacks of surrounding discoveries, contingent on successful appraisal and/or exploration activities within PSC 19‑11. Alternatively, longer tie‑back distances could be accommodated through a secondary standalone development in the southern portion of the PSC. Finder is continuing technical evaluation of appraisal and exploration opportunities to generate drilling targets. PSC 19‑11 lies within the Laminaria High oil province of Timor‑Leste. The KTJ Project contains an estimated 25 million bbl of gross 2C contingent resources, with identified upside of an additional 23 million bbl gross 2C contingent resources and 116 million bbl gross 2U prospective resources. Finder operates PSC 19‑11 with a 66% working interest.

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Newly formed Polar LNG aims to develop nearshore LNG project on Alaska’s North Slope

Polar Train LNG LLC, a newly launched company aiming to build an LNG plant (Polar LNG) on Alaska’s North Slope, has appointed Joel Riddle as president and chief executive officer. “Alaska’s North Slope holds one of the most significant undeveloped natural gas resources in the world,” said Riddle, adding “Polar LNG is uniquely positioned to bring this resource online—delivering reliable energy for Alaska and a strategic supply for the United States… and provides trusted energy to our allies.” In a release Mar. 31, the company said it is advancing a nearshore project at Prudhoe Bay, citing “one of the shortest LNG shipping routes from North America to key Asian markets, approximately 3,600 miles to Japan compared to over 10,000 miles from the US Gulf Coast.” The company is aiming for first LNG from the 7-million tonnes/year plant—to be developed nearshore with modular infrastructure—in 2029-2030 at a cost of $8–9 billion. According to Polar LNG, natural gas would be sourced from existing infrastructure at Prudhoe Bay and transported via a short pipeline to a nearshore plant. There, a modular gravity-based structure would process and liquefy the gas. LNG would then be loaded onto specialized ice-class carriers for year-round export. The company is exploring potential repurposing of sanctioned equipment built for Russia’s Arctic LNG 2 project and is seeking permission from the US govenment to acquire parts impacted by the sanctions, according to reports. Before joining Polar LNG, Riddle served as managing director and chief executive officer of Tamboran Resources Ltd.

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Asia bears brunt of energy shock as Middle East war disrupts liquid flows

Asia is facing a dual energy crisis marked by both soaring prices and physical supply disruptions as escalating war in the Middle East constrains flows through the Strait of Hormuz, according to a new report by Morningstar DBRS. The report highlights that roughly one-fifth of global crude oil and LNG supply has been affected by disruptions at the critical chokepoint, with Asia absorbing the majority of the impact due to its heavy dependence on imported hydrocarbons. About 83% of oil and LNG shipments passing through Hormuz are destined for Asian markets, amplifying the region’s exposure. Asia’s structural reliance on Middle Eastern energy imports has intensified the shock. Countries such as Japan and South Korea import nearly all of their energy needs, while China and India depend heavily on foreign supplies, much of it sourced from the Gulf. This dependence, combined with limited alternative shipping routes, has turned what initially appeared to be a price-driven shock into a broader supply and logistics crisis. Governments across the region have begun implementing emergency measures, including fuel rationing, price controls, and strategic reserve releases, to manage shortages and rising costs. Policy responses vary In North Asia, policymakers are leveraging stronger buffers. Japan has tapped strategic oil reserves and introduced subsidies to cushion consumers, while South Korea is relying on LNG stockpiles and fuel-switching capabilities. China has deployed administrative controls to stabilize domestic fuel prices and restrict refined product exports. By contrast, parts of South and Southeast Asia are more vulnerable. India has introduced tax relief and prioritized gas allocation, while countries such as the Philippines and Vietnam have declared energy emergencies and rolled out conservation measures. Several ASEAN (the Association of Southeast Asian Nations) economies have even implemented partial work-from-home policies to curb fuel consumption. Broader economic spillovers intensify Beyond energy markets, the disruption

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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Three Aberdeen oil company headquarters sell for £45m

Three Aberdeen oil company headquarters have been sold in a deal worth £45 million. The CNOOC, Apache and Taqa buildings at the Prime Four business park in Kingswells have been acquired by EEH Ventures. The trio of buildings, totalling 275,000 sq ft, were previously owned by Canadian firm BMO. The financial services powerhouse first bought the buildings in 2014 but took the decision to sell the buildings as part of a “long-standing strategy to reduce their office exposure across the UK”. The deal was the largest to take place throughout Scotland during the last quarter of 2024. Trio of buildings snapped up London headquartered EEH Ventures was founded in 2013 and owns a number of residential, offices, shopping centres and hotels throughout the UK. All three Kingswells-based buildings were pre-let, designed and constructed by Aberdeen property developer Drum in 2012 on a 15-year lease. © Supplied by CBREThe Aberdeen headquarters of Taqa. Image: CBRE The North Sea headquarters of Middle-East oil firm Taqa has previously been described as “an amazing success story in the Granite City”. Taqa announced in 2023 that it intends to cease production from all of its UK North Sea platforms by the end of 2027. Meanwhile, Apache revealed at the end of last year it is planning to exit the North Sea by the end of 2029 blaming the windfall tax. The US firm first entered the North Sea in 2003 but will wrap up all of its UK operations by 2030. Aberdeen big deals The Prime Four acquisition wasn’t the biggest Granite City commercial property sale of 2024. American private equity firm Lone Star bought Union Square shopping centre from Hammerson for £111m. © ShutterstockAberdeen city centre. Hammerson, who also built the property, had originally been seeking £150m. BP’s North Sea headquarters in Stoneywood, Aberdeen, was also sold. Manchester-based

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2025 ransomware predictions, trends, and how to prepare

Zscaler ThreatLabz research team has revealed critical insights and predictions on ransomware trends for 2025. The latest Ransomware Report uncovered a surge in sophisticated tactics and extortion attacks. As ransomware remains a key concern for CISOs and CIOs, the report sheds light on actionable strategies to mitigate risks. Top Ransomware Predictions for 2025: ● AI-Powered Social Engineering: In 2025, GenAI will fuel voice phishing (vishing) attacks. With the proliferation of GenAI-based tooling, initial access broker groups will increasingly leverage AI-generated voices; which sound more and more realistic by adopting local accents and dialects to enhance credibility and success rates. ● The Trifecta of Social Engineering Attacks: Vishing, Ransomware and Data Exfiltration. Additionally, sophisticated ransomware groups, like the Dark Angels, will continue the trend of low-volume, high-impact attacks; preferring to focus on an individual company, stealing vast amounts of data without encrypting files, and evading media and law enforcement scrutiny. ● Targeted Industries Under Siege: Manufacturing, healthcare, education, energy will remain primary targets, with no slowdown in attacks expected. ● New SEC Regulations Drive Increased Transparency: 2025 will see an uptick in reported ransomware attacks and payouts due to new, tighter SEC requirements mandating that public companies report material incidents within four business days. ● Ransomware Payouts Are on the Rise: In 2025 ransom demands will most likely increase due to an evolving ecosystem of cybercrime groups, specializing in designated attack tactics, and collaboration by these groups that have entered a sophisticated profit sharing model using Ransomware-as-a-Service. To combat damaging ransomware attacks, Zscaler ThreatLabz recommends the following strategies. ● Fighting AI with AI: As threat actors use AI to identify vulnerabilities, organizations must counter with AI-powered zero trust security systems that detect and mitigate new threats. ● Advantages of adopting a Zero Trust architecture: A Zero Trust cloud security platform stops

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Four things we’d need to put data centers in space

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 January, Elon Musk’s SpaceX filed an application with the US Federal Communications Commission to launch up to one million data centers into Earth’s orbit. The goal? To fully unleash the potential of AI without triggering an environmental crisis on Earth. But could it work? SpaceX is the latest in a string of high-tech companies extolling the potential of orbital computing infrastructure. Last year, Amazon founder Jeff Bezos said that the tech industry will move toward large-scale computing in space. Google has plans to loft data-crunching satellites, aiming to launch a test constellation of 80 as early as next year. And last November Starcloud, a startup based in Washington State, launched a satellite fitted with a high-performance Nvidia H100 GPU, marking the first orbital test of an advanced AI chip. The company envisions orbiting data centers as large as those on Earth by 2030. Proponents believe that putting data centers in space makes sense. The current AI boom is straining energy grids and adding to the demand for water, which is needed to cool the computers. Communities in the vicinity of large-scale data centers worry about increasing prices for those resources as a result of the growing demand, among other issues.
In space, advocates say, the water and energy problems would be solved. In constantly illuminated sun-synchronous orbits, space-borne data centers would have uninterrupted access to solar power. At the same time, the excess heat they produce would be easily expelled into the cold vacuum of space. And with the cost of space launches decreasing, and mega-rockets such as SpaceX’s Starship promising to push prices even lower, there could be a point at which moving the world’s data centers into space makes sound business sense. Detractors, on the other hand, tell a different story and point to a variety of technological hurdles, though some say it’s possible they may be surmountable in the not-so-distant future. Here are four of the must-haves we’d need to make space-based data centers a reality.  A way to carry away heat  AI data centers produce a lot of heat. Space might seem like a great place to dispel that heat without using up massive amounts of water. But it’s not so simple. To get the power needed to run 24-7, a space-based data center would have to be in a constantly illuminated orbit, circling the planet from pole to pole, and never hide in Earth’s shadow. And in that orbit, the temperature of the equipment would never drop below 80 °C, which is way too hot for electronics to operate safely in the long term. 
Getting the heat out of such a system is surprisingly challenging. “Thermal management and cooling in space is generally a huge problem,” says Lilly Eichinger, CEO of the Austrian space tech startup Satellives. On Earth, heat dissipates mostly through the natural process of convection, which relies on the movement of gases and liquids like air and water. In the vacuum of space, heat has to be removed through the far less efficient process of radiation. Safely removing the heat produced by the computers, as well as what’s absorbed from the sun, requires large radiative surfaces. The bulkier the satellite, the harder it is to send all the heat inside it out into space. But Yves Durand, former director of technology at the European aerospace giant Thales Alenia Space, says that technology already exists to tackle the problem. The company previously developed a system for large telecommunications satellites that can pipe refrigerant fluid through a network of tubing using a mechanical pump, ultimately transferring heat from within a spacecraft to radiators on the exterior. Durand led a 2024 feasibility study on space-based data centers, which found that although challenges exist, it should be possible for Europe to put gigawatt-scale data centers (on par with the largest Earthbound facilities) into orbit before 2050. These would be considerably larger than those envisioned by SpaceX, featuring solar arrays hundreds of meters in size—larger than the International Space Station. Computer chips that can withstand a radiation onslaught The space around Earth is constantly battered by cosmic particles and lashed by solar radiation. On Earth’s surface, humans and their electronic devices are protected from this corrosive soup of charged particles by the planet’s atmosphere and magnetosphere. But the farther away from Earth you venture, the weaker that protection becomes. Studies show that aircraft crews have a higher risk of developing cancer because of their frequent exposure to high radiation at cruising altitude, where the atmosphere is thin and less protective. Electronics in space are at risk of three types of problems caused by high radiation levels, says Ken Mai, a principal systems scientist in electrical and computer engineering at Carnegie Mellon University. Phenomena known as single-event upsets can cause bit flips and corrupt stored data when charged particles hit chips and memory devices. Over time, electronics in space accumulate damage from ionizing radiation that degrades their performance. And sometimes a charged particle can strike the component in a way that physically displaces atoms on the chip, creating permanent damage, Mai explains. Traditionally, computers launched to space had to undergo years of testing and were specifically designed to withstand the intense radiation present in Earth’s orbit. These space-hardened electronics are much more expensive, though, and their performance is also years behind the state-of-the-art devices for Earth-based computing. Launching conventional chips is a gamble. But Durand says cutting-edge computer chips use technologies that are by default more resistant to radiation than past systems. And in mid-March, Nvidia touted hardware, including a new GPU, that is “bringing AI compute to orbital data centers.”  Nvidia’s head of edge AI marketing, Chen Su, told MIT Technology Review, that “Nvidia systems are inherently commercial off the shelf, with radiation resilience achieved at the system level rather than through radiation‑hardened silicon alone.” He added that satellite makers increase the chips’ resiliency with the help of shielding, advanced software for error detection, and architectures that combine the consumer-grade devices with bespoke, hardened technologies.

Still, Mai says that the data-crunching chips are only one issue. The data centers would also need memory and storage devices, both of which are vulnerable to damage by excessive radiation. And operators would need the ability to swap things out or adapt when issues arise. The feasibility and affordability of using robots or astronaut missions for maintenance is a major question mark hanging over the idea of large-scale orbiting data centers. “You not only need to throw up a data center to space that meets your current needs; you need redundancy, extra parts, and reconfigurability, so when stuff breaks, you can just change your configuration and continue working,” says Mai. “It’s a very challenging problem because on one hand you have free energy and power in space, but there are a lot of disadvantages. It’s quite possible that those problems will outweigh the advantages that you get from putting a data center into space.” In addition to the need for regular maintenance, there’s also the potential for catastrophic loss. During periods of intense space weather, satellites can be flooded with enough radiation to kill all their electronics. The sun has just passed the most active phase of its 11-year cycle with relatively little impact on satellites. Still, experts warn that since the space age began, the planet has not experienced the worst the sun is capable of. Many doubt whether the low-cost new space systems that dominate Earth’s orbits today are prepared for that. A plan to dodge space debris Both large-scale orbiting data centers such as those envisioned by Thales Alenia Space and the mega-constellations of smaller satellites as proposed by SpaceX give a headache to space sustainability experts. The space around Earth is already quite crowded with satellites. Starlink satellites alone perform hundreds of thousands of collision avoidance maneuvers every year to dodge debris and other spacecraft. The more stuff in space, the higher the likelihood of a devastating collision that would clutter the orbit with thousands of dangerous fragments. Large structures with hundreds of square meters of solar arrays would quickly suffer damage from small pieces of space debris and meteorites, which would over time degrade the performance of their solar panels and create more debris in orbit. Operating one million satellites in low Earth orbit, the region of space at the altitude of up to 2,000 kilometers, might be impossible to do safely unless all satellites in that area are part of the same network so they can communicate effectively to maneuver around each other, Greg Vialle, the founder of the orbital recycling startup Lunexus Space, told MIT Technology Review. “You can fit roughly four to five thousand satellites in one orbital shell,” Vialle says. “If you count all the shells in low Earth orbit, you get to a number of around 240,000 satellites maximum.” And spacecraft must be able to pass each other at a safe distance to avoid collisions, he says.  “You also need to be able to get stuff up to higher orbits and back down to de-orbit,” he adds. “So you need to have gaps of at least 10 kilometers between the satellites to do that safely. Mega-constellations like Starlink can be packed more tightly because the satellites communicate with each other. But you can’t have one million satellites around Earth unless it’s a monopoly.”
On top of that, Starlink would likely want to regularly upgrade its orbiting data centers with more modern technology. Replacing a million satellites perhaps every five years would mean even more orbital traffic—and it could increase the rate of debris reentry into Earth’s atmosphere from around three or four pieces of junk a day to about one every three minutes, according to a group of astronomers who filed objections against SpaceX’s FCC application. Some scientists are concerned that reentering debris could damage the ozone layer and alter Earth’s thermal balance.  Economical launch and assembly The longer hardware survives in orbit, the better the return on investment. But for orbital data centers to make economic sense, companies will have to find a relatively cheap way to get that hardware in orbit. SpaceX is betting on its upcoming Starship mega-rocket, which will be able to carry up to six times as much payload as the current workhorse, Falcon 9. The Thales Alenia Space study concluded that if Europe were to build its own orbital data centers, it would have to develop a similarly potent launcher. 
But launch is only part of the equation. A large-scale orbital data center won’t fit in a rocket—even a mega-rocket. It will need to be assembled in orbit. And that will likely require advanced robotic systems that do not exist yet. Various companies have conducted Earth-based tests with precursors of such systems, but they are still far from real-world use. Durand says that in the short term, smaller-scale data centers are likely to establish themselves as an integral part of the orbital infrastructure, by processing images from Earth-observing satellites directly in space without having to send them to Earth. That would be a huge help for companies selling insights from space, as many of these data sets are extremely large, and competition for opportunities to downlink them to Earth for processing via ground stations is growing. “The good thing with orbital data centers is that you can start with small servers and gradually increase and build up larger data centers,” says Durand. “You can use modularity. You can learn little by little and gradually develop industrial capacity in space. We have all the technology, and the demand for space-based data processing infrastructure is huge, so it makes sense to think about it.” Smaller facilities probably won’t do much to offset the strain that terrestrial data centers are placing on the planet’s water and electricity, though. That vision of the future might take decades to come to fruition, some critics think—if it even gets off the ground at all. 

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Gemma 4: Byte for byte, the most capable open models

At the edge, our E2B and E4B models redefine on-device utility, prioritizing multimodal capabilities, low-latency processing and seamless ecosystem integration over raw parameter count.Powerful, accessible, openTo power the next generation of pioneering research and products, we’ve sized the Gemma 4 models specifically to run and fine-tune efficiently on hardware — from billions of Android devices worldwide, to laptop GPUs, all the way up to developer workstations and accelerators.By using these highly optimized models, you can fine-tune Gemma 4 to achieve state-of-the-art performance on your specific tasks. We’ve already seen incredible success with this approach; for instance, INSAIT created a pioneering Bulgarian-first language model (BgGPT), and we worked with Yale University on Cell2Sentence-Scale to discover new pathways for cancer therapy, among many others.Here is what makes Gemma 4 our most capable open model family yet:Advanced reasoning: Capable of multi-step planning and deep logic, Gemma 4 demonstrates significant improvements in math and instruction-following benchmarks that require it.Agentic workflows: Native support for function-calling, structured JSON output, and native system instructions enables you to build autonomous agents that can interact with different tools and APIs and execute workflows reliably.Code generation: Gemma 4 supports high-quality offline code, turning your workstation into a local-first AI code assistant.Vision and audio: All models natively process video and images, supporting variable resolutions, and excelling at visual tasks like OCR and chart understanding. Additionally, the E2B and E4B models feature native audio input for speech recognition and understanding.Longer context: Process long-form content seamlessly. The edge models feature a 128K context window, while the larger models offer up to 256K, allowing you to pass repositories or long documents in a single prompt.140+ languages: Natively trained on over 140 languages, Gemma 4 helps developers build inclusive, high-performance applications for a global audience.Versatile models for diverse hardwareWe are releasing the Gemma 4 model weights in sizes tailored for specific hardware and use cases, ensuring you get frontier-class reasoning wherever you need it:26B and 31B models: Frontier intelligence, offline on your personal computersOptimized to provide researchers and developers with state-of-the-art reasoning on accessible hardware, our unquantized bfloat16 weights fit efficiently on a single 80GB NVIDIA H100 GPU. For local setups, quantized versions run natively on consumer GPUs to power your IDEs, coding assistants and agentic workflows. Our 26B Mixture of Experts (MoE) focus on latency, activating only 3.8 billion of its total parameters during inference to deliver exceptionally fast tokens-per-second, while our 31B Dense is maximizing raw quality and provides a powerful foundation for fine-tuning.

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The Download: plastic’s problem with fuel prices, and SpaceX’s blockbuster IPO

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. Fuel prices are soaring. Plastic could be next.  As the war in Iran continues, one of the most visible global economic ripple effects has been fossil-fuel prices. But looking ahead, further consequences could be looming for plastics.  Plastics are made from petrochemicals, and the supply chain impacts from the conflict are starting to build up. Americans will likely feel the ripples.   Read the full story to grasp the unpredictable impacts. 
—Casey Crownhart  This story is from The Spark, our weekly climate newsletter. Sign up to get it in your inbox every Wednesday. 
The must-reads  I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.  1 SpaceX has filed for an IPO It’s set to be the largest ever, targeting a $1.75 trillion valuation. (NYT $)  + Which would make Elon Musk the world’s first trillionaire. (Al Jazeera) + But the IPO could hinge on the success of Moon missions. (LA Times $) + And the conflicts of interest are staggering. (The Next Web) + Meanwhile, rivals are rising to challenge SpaceX. (MIT Technology Review)   2 Artemis II is on its way to the Moon NASA successfully launched the four astronauts on its rocket yesterday. (Axios) + The lunar plans could violate international law. (The Verge) + But the potential scientific advances are tremendous. (Nature)  + Check out our roundtable on the next era of space exploration. (MIT Technology Review)   3 Iran has struck Amazon’s cloud business in Bahrain again It promised to hit US companies only yesterday. (FT $) + Other targets include Google, Microsoft, Apple, and Nvidia. (CNBC) + AWS data centers in Bahrain were also hit last month. (Reuters $)  4 OpenAI was secretly behind a child safety campaign group It pushed for age verification requirements for AI. (The San Francisco Standard $) + OpenAI had backed the legislation as a compromise measure. (WSJ $) + Coincidentally, Sam Altman heads a company providing age verification. (Engadget)  5 Anthropic is scrambling to limit the Claude Code leak It’s trying to remove 8,000 copies of the exposed code from GitHub. (Gizmodo) + An executive blamed the leak on “process errors.” (Bloomberg $) + Here’s what it reveals about Anthropic’s plans. (Ars Technica) + AI is making online crimes easier—and it could get much worse. (MIT Technology Review)  6 A new Russian “super-app” aims to emulate China’s WeChat And give the Kremlin new surveillance powers. (WSJ $) 

7 America’s AI boom is leaving the rest of the world behind  And it’s concentrating power and wealth in a handful of companies. (Rest of World)  8 Chinese chipmakers have claimed nearly half the country’s market Nvidia’s lead is shrinking rapidly. (Reuters $)  9 The first quantum computer to break encryption is imminent  New research reveals how it could happen. (New Scientist)  10 The world’s oldest tortoise has been embroiled in a crypto scam Reports that Jonathan died at just 194 years old are thankfully false. (Guardian)  Quote of the day  “Starlink is the only reason this valuation is defensible.”  —Shay Boloor, chief market strategist at Futurum Equities, tells Reuters why SpaceX has such high hopes for its IPO.  One More Thing  These companies are creating food out of thin air  Dried cells—it’s what’s for dinner. At least that’s what a new crop of biotech startups, armed with carbon-guzzling bacteria and plenty of capital, are hoping to convince us.  
Their claims sound too good to be true: they say they can make food out of thin air. But that’s exactly how certain soil-dwelling bacteria work.  Startups are replicating the process to turn abundant carbon dioxide into nutritious “air protein.” They believe it could dramatically lower farming emissions—and even disrupt agriculture altogether. Read the full story. 
—Claire L. Evans  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.)  + Need more Artemis II in your life? This site takes you inside the flight. + Here’s a fascinating look at the recording errors that improved songs. + Good news: the elusive Nightjar bird is making a comeback. + Finally, a master chef has baked clam chowder donuts. 

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Fuel prices are soaring. Plastic could be next.

As the war in Iran continues to engulf the Middle East and the Strait of Hormuz stays closed, one of the most visible global economic ripple effects has been fossil-fuel prices. In particular, you can’t get away from news about the price of gasoline, which just topped an average of $4 a gallon in the US, its highest level since 2022. But looking ahead, further consequences for the global economy could be looming in plastics. Plastics are made using petrochemicals, and the supply chain impacts of the oil bottleneck near Iran are starting to build up.  Plastic production accounts for roughly 5% of global carbon dioxide emissions today. And our current moment shows just how embedded oil and gas products are in our lives. It goes far beyond their use for energy.  As I write this, I’m wearing clothes that contain plastic fibers, typing on a plastic keyboard, and looking through the plastic lenses of my glasses. It’s hard to imagine what our world looks like without plastic. And in some ways, moving away from fossil-derived plastic could prove even more complicated than decarbonizing our energy system. 
Crude oil prices have been on a roller-coaster in recent weeks, and prices have recently topped $100 a barrel. Crude oil contains a huge range of hydrocarbons, and it’s typically refined by putting it through a distillation unit that separates the raw material into different fractions according to their boiling point. Those fractions then go on to be further processed into everything from jet fuel to asphalt binder. We’ve already seen the price spikes for some materials pulled out of crude oil, like gasoline and jet fuel.
Let’s zoom in on another component, naphtha. It can be added to gasoline and jet fuel to improve performance. It can also be used as a solvent or as a raw material to make plastics. The Middle East currently accounts for about 20% of global naphtha production­ and supplies about 40% of the market in Asia, where prices are already up by 50% over the last month. We’re starting to see these effects trickle down already. The price of polypropylene (which is made from naphtha and used for food containers, bottle caps, and even automotive parts) is climbing, especially in Asia.   Typically, manufacturers have a bit of stock built up, but that’ll be exhausted soon, likely in the coming weeks. The largest supplier of water bottles in India recently announced that it would raise prices by 11% after its packaging costs went up by over 70%, according to reporting from Reuters. Toys could be more expensive this holiday season as manufacturers grapple with supply chain concerns. Americans will likely feel these ripples especially hard if disruptions continue. The average US resident used over 250 kilograms of new plastics in 2019, according to a 2022 report from the Organization for Economic Cooperation and Development. That’s an absolutely massive number—the global average is just 60 kilograms. The effects of higher prices for both fuels and feedstocks could compound and multiply, and alternatives aren’t widely available. Bio-based plastics made with materials like plant sugars exist, but they still make up a vanishingly tiny portion of the market. As of 2025, global plastics production totaled over 431 million metric tons per year. Bio-based and bio-degradable plastics made up about 0.5% of that, a share that could reach 1% by 2030. Bio-based plastics are much more expensive than their fossil-derived counterparts. And many are made using agricultural raw materials, so scaling them up too much could be harmful for the environment and might compete with other industries like food production. Recycling isn’t the easy answer either. Mechanical recycling is the current standard method used for materials like the plastics that make up water bottles and disposable coffee cups. But that degrades the materials over time, so they can’t be used infinitely. Chemical recycling has its own host of issues—the facilities that do it can be highly polluting, and today plastics that go into advanced recycling plants largely don’t actually go into new plastics.

There’s been a lot of talk in recent weeks about how this energy crisis is going to push the world more toward renewable energy. Solar panels, electric vehicles, and batteries could suddenly become more attractive as we face the drastic consequences of a disruption in the global fossil-fuel supply. But when it comes to plastic, the future looks far more complicated. Even though the plastics industry is facing much the same disruptions as the energy sector, there aren’t the same obvious alternatives available for a transition. Our lives are tied up in plastic, with uses ranging from the essential (like medical equipment) to the mundane (my to-go coffee cup). Soon, our economy could feel the effects of just how much we rely on fossil-derived plastics, and how hard it’s going to be to replace them.  This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here. 

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The Download: gig workers training humanoids, and better AI benchmarks

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. The gig workers who are training humanoid robots at home  When Zeus, a medical student in Nigeria, returns to his apartment from a long day at the hospital, he straps his iPhone to his forehead and records himself doing chores.  Zeus is a data recorder for Micro1, which sells the data he collects to robotics firms. As these companies race to build humanoids, videos from workers like Zeus have become the hottest new way to train them.   Micro1 has hired thousands of them in more than 50 countries, including India, Nigeria, and Argentina. The jobs pay well locally, but raise thorny questions around privacy and informed consent. The work can be challenging—and weird. Read the full story. 
—Michelle Kim  Our readers recently voted humanoid robots the “11th breakthrough” to add to our 2026 list of 10 Breakthrough Technologies. Check out what else officially made the cut. 
AI benchmarks are broken. Here’s what we need instead.  For decades, AI has been evaluated based on whether it can outperform humans on isolated problems. But it’s seldom used this way in the real world.  While AI is assessed in a vacuum, it operates in messy, complex, multi-person environments over time. This misalignment leads us to misunderstand its capabilities, risks, and impacts.  We need new benchmarks that assess AI’s performance over longer horizons within human teams, workflows, and organizations. Here’s a proposal for one such approach: Human–AI, Context-Specific Evaluation.   —Angela Aristidou, professor at University College London and faculty fellow at the Stanford Digital Economy Lab and the Stanford Human-Centered AI Institute.  MIT Technology Review Narrated: can quantum computers now solve health care problems? We’ll soon find out.  In a laboratory on the outskirts of Oxford, a quantum computer built from atoms and light awaits its moment. The device is small but powerful—and also very valuable. Infleqtion, the company that owns it, is hoping its abilities will win $5 million at a competition.   The prize will go to the quantum computer that can solve real health care problems that “classical” computers cannot. But there can be only one big winner—if there is a winner at all.  —Michael Brooks  This is our latest story to be turned into an MIT Technology Review Narrated podcast, which we’re publishing 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 OpenAI just closed the biggest funding round in Silicon Valley history It raised $122 billion ahead of its blockbuster IPO, which is expected later this year. (WSJ $) + It’s also prepping a push to “rethink the social contract.” (Vanity Fair $) + Campaigners are urging people to quit ChatGPT. (MIT Technology Review)    2 Iran has threatened to attack 18 US tech companies  It’s eyeing their operations in the Middle East. (Politico) + Targets include Nvidia, Apple, Microsoft, and Google. (Engadget) + Iran struck AWS data centers earlier this month. (Reuters $)  3 Artemis II is about to fly humans to the Moon. Here’s the science they’ll do Their experiments will set the stage for future explorers. (Nature) + You can watch the launch attempt today. (Engadget)   4 Putin is trying to take full control of Russia’s internet New outages and blockages are cutting the country off from the world. (NYT $) + Can we repair the internet? (MIT Technology Review)  5 A robotaxi outage in China left passengers stranded on highways  Baidu vehicles froze on the streets of Wuhan. (Bloomberg $) + Police are blaming a “system failure.” (Reuters $)  6 US government requests for social media user data are soaring They’ve skyrocketed by 770% in the past decade. (Bloomberg $) + Is the Pentagon allowed to surveil Americans with AI? (MIT Technology Review) 
7 Tesla has admitted that humans sometimes drive its robotaxis Remote drivers occasionally control them completely. (Wired $)  8 A satellite-smashing chain reaction could spiral out of control This data visualization captures the dangers of space collisions. (Guardian) + Here’s all the stuff we’ve put into space. (MIT Technology Review) 
9 Meta’s smartglasses can turn you into a creep According to one journalist who wore them for a month. (Guardian)  10 A Claude Code leak has exposed plans for a virtual pet  We could be getting a Tamagotchi for the GenAI era. (The Verge)  Quote of the day  “From now on, for every assassination, an American company will be destroyed.”  —Iran’s Islamic Revolutionary Guard Corps (IRGC) threatens US tech firms in an affiliated Telegram, per CNBC.  One More Thing  ACKERMAN + GRUBER How one mine could unlock billions in EV subsidies  In a pine farm north of the tiny town of Tamarack, Minnesota, Talon Metals has uncovered one of America’s densest nickel deposits. Now it wants to begin mining the ore. 
Products made from the nickel could net more than $26 billion in subsidies through the Inflation Reduction Act (IRA), which is starting to transform the US economy. To understand how, we tallied up the potential tax credits available. Read the full story to find out what we discovered.  —James Temple  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.)  + A selfless group of gluttons tried to taste-test every potato chip in the world.  + Get romantic inspiration from these penguins’ engagement pebbles. + Good news: global terrorism has hit a 15-year low. + Enjoy endless new views through these windows around the world.  

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The gig workers who are training humanoid robots at home

When Zeus, a medical student living in a hilltop city in central Nigeria, returns to his studio apartment from a long day at the hospital, he turns on his ring light, straps his iPhone to his forehead, and starts recording himself. He raises his hands in front of him like a sleepwalker and puts a sheet on his bed. He moves slowly and carefully to make sure his hands stay within the camera frame.  Zeus is a data recorder for Micro1, a US company based in Palo Alto, California that collects real-world data to sell to robotics companies. As companies like Tesla, Figure AI, and Agility Robotics race to build humanoids—robots designed to resemble and move like humans in factories and homes—videos recorded by gig workers like Zeus are becoming the hottest new way to train them.  Micro1 has hired thousands of contract workers in more than 50 countries, including India, Nigeria, and Argentina, where swathes of tech-savvy young people are looking for jobs. They’re mounting iPhones on their heads and recording themselves folding laundry, washing dishes, and cooking. The job pays well by local standards and is boosting local economies, but it raises thorny questions around privacy and informed consent. And the work can be challenging at times—and weird. Zeus found the job in November, when people started talking about it everywhere on LinkedIn and YouTube. “This would be a real nice opportunity to set a mark and give data that will be used to train robots in the future,” he thought. 
Zeus is paid $15 an hour, which is good income in Nigeria’s strained economy with high unemployment rates. But as a bright-eyed student dreaming of becoming a doctor, he finds ironing his clothes for hours every day boring.  “I really [do] not like it so much,” he says. “I’m the kind of person that requires … a technical job that requires me to think.” 
Zeus, and all the workers interviewed by MIT Technology Review, asked to be referred to only by pseudonyms because they were not authorized to talk about their work. Humanoid robots are notoriously hard to build because manipulating physical objects is a difficult skill to master. But the rise of large language models underlying chatbots like ChatGPT has inspired a paradigm shift in robotics. Just as large language models learned to generate words by being trained on vast troves of text scraped from the internet, many researchers believe that humanoid robots can learn to interact with the world by being trained on massive amounts of movement data.  Editor’s note: In a recent poll, MIT Technology Review readers selected humanoid robots as the 11th breakthrough for our 2026 list of 10 Breakthrough Technologies. Robotics requires far more complex data about the physical world, though, and that is much harder to find. Virtual simulations can train robots to perform acrobatics, but not how to grasp and move objects, because simulations struggle to model physics with perfect accuracy. For robots to work in factories and serve as housekeepers, real-world data, however time-consuming and expensive to collect, may be what we need.  Investors are pouring money feverishly into solving this challenge, spending over $6 billion on humanoid robots in 2025. And at-home data recording is becoming a booming gig economy around the world. Data companies like Scale AI and Encord are recruiting their own armies of data recorders, while DoorDash pays delivery drivers to film themselves doing chores. And in China, workers in dozens of state-owned robot training centers wear virtual-reality headsets and exoskeletons to teach humanoid robots how to open a microwave and wipe down the table.  “There is a lot of demand, and it’s increasing really fast,” says Ali Ansari, CEO of Micro1. He estimates that robotics companies are now spending more than $100 million each year to buy real-world data from his company and others like it. A day in the life Workers at Micro1 are vetted by an AI agent named Zara that conducts interviews and reviews samples of chore videos. Every week, they submit videos of themselves doing chores around their homes, following a list of instructions about things like keeping their hands visible and moving at natural speed. The videos are reviewed by both AI and a human and are either accepted or rejected. They’re then annotated by AI and a team of hundreds of humans who label the actions in the footage. “There is a lot of demand, and it’s increasing really fast.” Ali Ansari, CEO of Micro1  Because this approach to training robots is in its infancy, it’s not clear yet what makes good training data. Still, “you need to give lots and lots of variations for the robot to generalize well for basic navigation and manipulation of the world,” says Ansari.

But many workers say that creating a variety of “chore content” in their tiny homes is a challenge. Zeus, a scrappy student living in a humble studio, struggles to record anything beyond ironing his clothes every day. Arjun, a tutor in Delhi, India, takes an hour to make a 15-minute video because he spends so much time brainstorming new chores. “How much content [can be made] in the home? How much content?” he says.  There’s also the sticky question of privacy. Micro1 asks workers not to show their faces to the camera or reveal personal information such as names, phone numbers, and birth dates. Then it uses AI and human reviewers to remove anything that slips through.  But even without faces, the videos capture an intimate slice of workers’ lives: the interiors of their homes, their possessions, their routines. And understanding what kind of personal information they might be recording while they’re busy doing chores on camera can be tricky. Reviews of such footage might not filter out sensitive information beyond the most obvious identifiers. For workers with families, keeping private life off camera is a constant negotiation. Arjun, a father of two daughters, has to wrangle his chaotic two-year-old out of frame. “Sometimes it’s very difficult to work because my daughter is small,” he says.  Sasha, a banker turned data recorder in Nigeria, tiptoes around when she hangs her laundry outside in a shared residential compound so she won’t record her neighbors, who watch her in bewilderment. “It’s going to take longer than people think.”Ken Goldberg, UC Berkeley While the workers interviewed by MIT Technology Review understand that their data is being used to train robots, none of them know how exactly their data will be used, stored, and shared with third parties, including the robotics companies that Micro1 is selling the data to. For confidentiality reasons, says Ansari, Micro1 doesn’t name its clients or disclose to workers the specific nature of the projects they are contributing to. “It is important that if workers are engaging in this, that they are informed by the companies themselves of the intention … where this kind of technology might go and how that might affect them longer term,” says Yasmine Kotturi, a professor of human-centered computing at the University of Maryland.
Occasionally, some workers say, they’ve seen other workers asking on the company Slack channel if the company could delete their data. Micro1 declined to comment on whether such data is deleted. “People are opting into doing this,” says Ansari. “They could stop the work at any time.”
Hungry for data With thousands of workers doing their chores differently in different homes, some roboticists wonder if the data collected from them is reliable enough to train robots safely.  “How we conduct our lives in our homes is not always right from a safety point of view,” says Aaron Prather, a roboticist at ASTM International. “If those folks are teaching those bad habits that could lead to an incident, then that’s not good data.” And the sheer volume of data being collected makes reviewing it for quality control challenging. But Ansari says the company rejects videos showing unsafe ways of performing a task, while clumsy movements can be useful to teach robots what not to do. Then there’s the question of how much of this data we need. Micro1 says it has tens of thousands of hours of footage, while Scale AI announced it had gathered more than 100,000 hours. “It’s going to take a long time to get there,” says Ken Goldberg, a roboticist at the University of California, Berkeley. Large language models were trained on text and images that would take a human 100,000 years to read, and humanoid robots may need even more data, because controlling robotic joints is even more complicated than generating text. “It’s going to take longer than people think,” he says. When Dattu, an engineering student living in a bustling tech hub in India, comes home after a full day of classes at his university, he skips dinner and dashes to his tiny balcony, cramped with potted plants and dumbbells. He straps his iPhone to his forehead and records himself folding the same set of clothes over and over again.  His family stares at him quizzically. “It’s like some space technology for them,” he says. When he tells his friends about his job, “they just get astounded by the idea that they can get paid by recording chores.” Juggling his university studies with data recording, as well as other data annotation gigs, takes a toll on him. Still, “it feels like you’re doing something different than the whole world,” he says. 

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Chevron resumes natural gas production at Leviathan

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QatarEnergy, ExxonMobil reach first production from Train 1 at Golden Pass

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US crude output sets new record in 2025, Permian leads growth

Crude oil production in the US hit 13.6 million b/d in 2025, up 3% from the prior year, marking a new annual high, according to the US Energy Information Administration‘s (EIA) Short-Term Energy Outlook (STEO). Most of the increase came from the Lower 48 (excluding the Gulf of Mexico), which contributed 11.3 million b/d—roughly 83% of total production. Alaska and the US federal offshore Gulf of Mexico supplied the remainder. Production gains came despite a dip in drilling activity. Active rigs in the Lower 48 fell 5%, and completions slipped 1% versus 2024. Efficiency improvements kept output rising. New wells added 2.9 million b/d, while existing wells continued producing 8.3 million b/d. The slowdown reflected weaker prices, with WTI averaging $65/bbl, down from $77/bbl in 2024. The Permian basin remained the powerhouse of US production, accounting for 48% of total output at 6.6 million b/d and driving most of the year’s growth with a 280,000 b/d gain. Dallas Fed survey data show breakeven costs of $61–62/bbl in the Permian’s Midland and Delaware basins, supporting production even at lower prices. Elsewhere, output in the Eagle Ford and Bakken held mostly steady, each contributing about 9% of US crude. Eagle Ford edged up 18,000 b/d to 1.2 million b/d, while Bakken slipped 30,000 b/d to 1.2 million b/d. Five Gulf of Mexico projects supported 2025 production gains, combining new floating production units and subsea tiebacks. Output increased by 111,000 b/d to average 1.9 million b/d in 2025. The Shell plc-operated Whale development started production in January 2025. The deepwater development lies in more than 8,600 ft of water and is expected to produce about 85,000 b/d at peak. Shell’s Dover project came online in April as a tieback to the Appomattox hub, contributing 15,000 b/d. Also online in April was the Chevron-operated Ballymore project.

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Greenland Energy secures rig for Arctic exploration

Greenland Energy Co. signed a drilling agreement with Stampede Drilling Inc. to provide a high-performance rig and services for upcoming operations in the Jameson Land basin. This agreement ensures the availability of Stampede’s Rig #12, equipped for Arctic conditions, to mobilize crews and execute drilling. Under a 5-year agreement, plans call for drilling up to two wells. Greenland Energy Co. was formed following completion of a deal to combine Pelican Holdco Inc., Pelican Acquisition Corp., March GL Co., and Greenland Exploration Ltd.  According to 80 Mile PLC, Greenland Energy’s joint venture partner, the plan calls for each well to drill to a minimum depth of 3,500 m in an effort to delineate the hydrocarbon potential of the basin, which it said is analogous to the Norwegian Haltenbanken and Barents Sea provinces. Four petroleum systems have been identified with key source rocks – Upper Jurassic, Hareelv & Permian Ravnefjeld formations. Jameson comprises about two million acres in East Greenland. An independent prospective resources report prepared by Sproule ERCE estimated 13.03 billion bbl (P10) of gross un-risked recoverable prospective oil resources across the upper levels of the Jameson basin, 80 Mile PLC said in a February release. The partner also noted Greenland Energy has mobilized heavy equipment to East Greenland in preparation for drilling in this year’s second half, subject to regulatory approvals, and that Halliburton and IPT Well Solutions have been contracted to perform drilling services.

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Chevron’s Aseng project advances with subsea infrastructure contract

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Oil prices surge as Iran war escalates, IEA warns of historic supply shock

Global oil markets rallied sharply on Thursday, Apr. 2, after US President Donald Trump signaled that military operations against Iran would continue “well into April,” raising fears of prolonged disruption to one of the world’s most critical energy corridors and triggering a fresh wave of volatility across commodities and financial markets. The renewed advance came just one day after markets had briefly turned more optimistic on hopes that the war might wind down soon. But Trump’s tougher tone shifted sentiment quickly, with investors focusing again on the Strait of Hormuz, the critical waterway that normally carries about one-fifth of the world’s oil and LNG trade. With traffic through the strait still heavily disrupted, the market remains highly sensitive to any sign that the conflict could drag on. Brent crude climbed toward $110/bbl in early trading, reversing earlier losses, as investors rapidly repriced geopolitical risk following Trump’s remarks that US forces would “finish the job” in Iran. Looming energy supply shock The latest market move also comes as the International Energy Agency (IEA) warns the unfolding crisis could evolve into the largest energy supply shock in modern history. Speaking this week, IEA Executive Director Fatih Birol said disruptions tied to the conflict are already mounting and could intensify significantly in April, with Europe among the most exposed regions. “The next month, April, will be much worse than March,” Birol said in an interview with Nicolai Tangen, chief executive officer of Norway’s Norges Bank Investment Management, on Tangen’s “In Good Company” podcast. The reason, Birol explained, is simple logistics. A trickle of cargo ships that entered the Strait before the US-Israel strikes on Iran have been continuing to deliver oil and gas to ports throughout March. “They are still coming to ports, still bringing oil and energy and other things,” he said.

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