Cheniere, Bechtel let equipment and services contracts for Sabine Pass LNG expansion

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Cheniere, Bechtel let equipment and services contracts for Sabine Pass LNG expansion

Cheniere Energy Inc. and Bechtel Energy Inc. have let contracts to Baker Hughes Inc. for work to expand the 30-million tonnes/year (tpy) Sabine Pass LNG plant in Cameron Parish, La. The awards, booked in the second quarter, comprise orders to supply liquefaction equipment for Train 7 and for a boil-off gas re-liquefaction unit, as well […]

Cheniere Energy Inc. and Bechtel Energy Inc. have let contracts to Baker Hughes Inc. for work to expand the 30-million tonnes/year (tpy) Sabine Pass LNG plant in Cameron Parish, La.

The awards, booked in the second quarter, comprise orders to supply liquefaction equipment for Train 7 and for a boil-off gas re-liquefaction unit, as well as an award for fleet-wide gas turbine technology upgrades, Baker Hughes said.

The work is part of the pre-final investment decision Sabine Pass LNG Expansion project (SPL Expansion) and follows a lump sum, turnkey, engineering, procurement, and construction contract Cheniere subsidiary Sabine Pass Liquefaction Stage V LLC entered into with Bechtel in May. At the time, Cheniere issued a limited notice to proceed early engineering and procurement work for Phase 1 of the expansion. Full construction is expected to begin in early 2027.

The equipment orders for Phase 1 of the Sabine Pass expansion project include seven PGT25+ G4 gas turbines driving 15 centrifugal compressors, enabling about 6 million tpy of additional LNG production capacity.

Baker Hughes also will deliver upgrades across the entire fleet of installed aeroderivative PGT25+ G4 gas turbines at the Sabine Pass plant over a 4-year period.

The upgrades are aimed at increasing the power output of the turbines to enhance LNG production capabilities to help support growing global demand for natural gas in energy and industrial applications.

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Cloudflare Internal DNS puts public and private DNS on one policy engine

“Instead of operating two separate DNS systems, customers use one API, one audit trail, one dashboard, and one policy engine for every DNS query—whether it is for a public website or an internal application,” Somoza said. Policy first. The resolver sits ahead of every lookup, not behind it. “Architecturally, Cloudflare Gateway

Atos launches sovereign cloud service to power comeback

Atos has launched a new sovereign cloud platform aimed squarely at European public sector bodies, healthcare providers and defense organizations. It’s the latest effort by European companies in their fight back against US dominance. Atos Sovereign Cloud offers a range of controls for data management, providing customers with resilience and

ISC2 seeks input from IT pros for AI security certification

ISC2 has not finalized the certification domains, but Marks says the organization expects the credential to address both technical controls and governance practices for securing AI systems and managing AI risk. The certification will use ISC2’s established certification development process, which relies on cybersecurity practitioners to define job roles, develop

Microsoft explains why its West US Azure and cloud services failed

Microsoft cloud and Azure services hosted on the West Coast of the US went down for hours on Thursday when network connectivity failed. Although services running entirely within Microsoft’s West US cloud region were unaffected, any traffic entering or leaving the facilities was affected. Microsoft has now published a Preliminary

Energy Department Announces Up to $65.5 Million to Advance Domestic Oil and Natural Gas Production and Delivery

WASHINGTON—The U.S. Department of Energy (DOE) today announced up to $65.5 million in federal funding for cost-shared research, development, and deployment projects to strengthen domestic oil and natural gas production, improve the efficiency and reliability of critical energy infrastructure, and convert underutilized resources into valuable products. The funding opportunity supports technologies that maximize the productivity of existing infrastructure, expand the capacity and performance of energy delivery systems, and strengthen the resilience of America’s oil and natural gas supply chain. The funding opportunity supports President Trump’s Executive Order, “Unleashing American Energy,” and advances the Trump Administration’s commitment to ensuring Americans have access to affordable, reliable, and secure energy through the responsible development of our nation’s abundant oil and natural gas supplies. “Thanks to President Trump’s leadership, the Energy Department is making strategic investments to strengthen America’s oil and natural gas industry and reinforce the critical infrastructure that powers our economy,” said DOE Under Secretary of Energy Kyle Haustveit. “This funding opportunity will help American producers eliminate waste, improve efficiency, and deliver the affordable, reliable, and secure energy that powers our economy and strengthens our national security.” America’s extensive oil and natural gas production and delivery system supplies energy for manufacturing, chemical production, electric power generation, residential consumers, and a growing energy export sector. DOE has released a Notice of Funding Opportunity (NOFO) seeking innovative proposals that address the following areas: Maximize the Value of Stranded and Underutilized Resources: Develop and validate technologies to transform oil, natural gas, and associated product streams—including those that would otherwise be stranded, flared, or limited by contaminants—into high-value, readily transportable products. Funded projects will progress from laboratory-scale validation of new catalysts, reactor systems, and separation processes to field-testing modular, decentralized gas conversion systems and sour gas processing facilities in active production basins. Enhance Supply Chain Durability and

United States and Saudi Arabia Reach Historic Nuclear Cooperation Agreement

WASHINGTON—U.S. Secretary of Energy Chris Wright and Saudi Minister of Energy His Royal Highness (HRH) Prince Abdulaziz bin Salman signed a peaceful nuclear cooperation agreement, commonly known as a 123 agreement, alongside an accompanying bilateral safeguards agreement. Together, these two agreements lay the legal foundation for a decades-long, multi-billion-dollar partnership that advances several priority economic and strategic objectives, including nuclear nonproliferation. The 123 agreement provides great access for American companies in the Saudi nuclear energy program, benefiting American industry, workers, and supply chains while helping to meet Saudi energy needs. The two agreements also advance U.S. and regional security by upholding high standards of nuclear safety, security, and nonproliferation and strengthening the United States’ competitive edge in civil nuclear technology. “These agreements reflect our two nations’ shared commitment to strengthening U.S.-Saudi commercial relations, delivering prosperity at home and security to our allies abroad,” said Secretary Wright. “Rest assured, these agreements uphold the highest standards of nuclear safety and nonproliferation, while relying on the world’s best nuclear technology and scientists, designed right here in the United States. Thanks to President Trump, the American nuclear renaissance is underway and will deliver long-term benefits to the American and Saudi people.” Under President Trump’s leadership, America is restoring its competitive edge in the global civil nuclear marketplace. This agreement builds on President Trump’s Executive Order, Deploying Advanced Nuclear Reactor Technologies for National Security, and specifically Section 8 on Promoting American Nuclear Exports, which supports an expansion of international partners for U.S. civil nuclear cooperation under Section 123 of the Atomic Energy Act of 1954, as amended. This partnership will: Expand American nuclear technology exports Create high-paying U.S. jobs and long-term economic growth Strengthen America’s energy and national security posture Reinforce global nonproliferation standards Deepen the strategic partnership between the United States and the Kingdom of

Secretary of Energy Chris Wright Announces First Genesis Mission Projects Selected to Accelerate AI-Driven Scientific Discovery

WASHINGTON—The U.S. Department of Energy (DOE) today announced the first projects selected under the Genesis Mission Request for Applications (RFA) as part of President Trump’s historic Genesis Mission. The national portfolio of research teams will help develop and demonstrate AI-enabled scientific workflows designed to accelerate breakthroughs in energy, discovery science, and national security. Designed to double America’s scientific productivity, the Genesis Mission brings together DOE’s world-class scientific capabilities, advanced AI, high-performance computing, and the nation’s leading researchers to transform how scientific discovery is conducted and strengthen American leadership in science and technology. “America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” said U.S. Secretary of Energy Chris Wright. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.” The Genesis Mission RFA generated the largest response to a funding opportunity in DOE history. Following a rigorous merit review process, the selected projects represent: 278 awards: 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies, and 4 led by nonprofit organizations. 342 participating institutions: 16 DOE and NNSA National Laboratories, 142 universities, 157 companies, 13 nonprofit organizations, and 14 other institutions. These projects will address some of the nation’s most pressing energy, scientific, and engineering challenges, including in nuclear energy, critical mineral extraction, intelligent chip design, and commercial fusion energy. Among the selected projects, the largest is a three-year, $60 million investment in nuclear energy that will harness AI to help deliver nuclear facilities faster and safer while cutting operating costs to provide Americans with affordable, reliable, and secure energy.

DOE and DOL Partner to Advance Mining Innovation and Safety

WASHINGTON—The U.S. Department of Energy (DOE) and the U.S. Department of Labor (DOL) today signed a Memorandum of Understanding (MOU) establishing a framework to accelerate the deployment of artificial intelligence (AI), automation, advanced sensors, and other emerging technologies across the nation’s mining sector. The five-year agreement strengthens federal coordination to advance mining innovation while improving worker safety, increasing productivity, and supporting the secure domestic production of critical minerals. By combining DOE’s expertise in energy technologies and resource recovery with DOL’s longstanding leadership in mine safety, the partnership advances the Trump Administration’s commitment to strengthen critical mineral supply chains, support high-paying American jobs, and unleash American energy dominance “America’s security and economic future depend on developing a strong domestic mining sector,” said U.S. Secretary of Energy Chris Wright. “By pairing the Energy Department’s technical expertise with the Labor Department’s leadership on mine safety, we can support American miners, secure domestic supply chains, and put cutting-edge technology to work for the people who power our nation.” “Today’s agreement ensures that the Department of Labor and the Department of Energy will work side by side to prepare the mining workforce, advance mining technology, and support the safe production of the coal that powers America’s future,” said Acting Secretary of Labor Keith Sonderling. “It is our commitment to you that this MOU will further President Trump’s promise to restore coal as a key driver of America’s energy supply chain and American coal will again be the envy of the world for generations to come.” Under the agreement, DOE’s Hydrocarbons and Geothermal Energy Office (HGEO) and Office of Critical Minerals and Energy Innovation (CMEI) will collaborate closely with DOL’s Mine Safety and Health Administration (MSHA) to share non-proprietary data, research, and technical expertise that supports the deployment of next-generation mining technologies. The partnership will focus

Energy Secretary Secures Grid Amid Period of Hot Weather

WASHINGTON—The U.S. Department of Energy (DOE) issued an emergency order to mitigate blackout risks and keep Americans powered during the region’s energy emergency brought on by hot weather conditions. The order directs the Southwest Power Pool, Inc. (SPP) to dispatch specified units and to order their operation as needed to maintain reliability. The order also authorizes SPP to direct backup generation resources to operate as a last resort before declaring an Energy Emergency Alert (EEA) 3 or during an EEA 3. The order was issued pursuant to a request from SPP. “The Trump Administration is tapping into an abundant supply of unused backup generation to maintain affordable, reliable, and secure power for hardworking American families and businesses,” said U.S. Secretary of Energy Chris Wright. “The previous administration’s energy subtraction policies weakened the grid, leaving Americans more vulnerable during emergency events. Thanks to President Trump’s leadership, we are reversing those failures and using every available tool to ensure Americans have continued access to affordable, reliable, and secure energy to power and cool their homes.” DOE estimates more than 35 gigawatts (GW) of unused backup generation remains available nationwide. On day one of his second term, President Trump declared a national energy emergency after the Biden administration’s energy subtraction agenda left behind a grid increasingly vulnerable to blackouts. Power outages cost the American people $44 billion per year, according to data from DOE’s National Laboratories. This order mitigates the possibility of power outages in the region and highlights the common sense policies of the Trump Administration to ensure Americans have access to affordable, reliable, and secure power. The order was effective upon issuance on July 20, 2026, and shall expire at 11:59 PM ET on July 21, 2026.

S&P Global: Hormuz vessel transits fall amid heightened security risks

Vessel traffic through the Strait of Hormuz remained subdued July 10-12 as heightened regional security risks continued to weigh on movements through the strategic waterway, according to S&P Global MINT and S&P Global Commodities at Sea data. A total of 73 vessels transited the strait during the 3-day period, averaging fewer than 25 crossings/day. Transits fell to 11 on July 12, the lowest since June 14, after Iran declared the strait closed amid what the Persian Gulf Strait Authority described as “illegal movements” of US military forces in the region. No inbound crossings were recorded July 12, the first such occurrence since June 12. Six of the day’s 11 transits were assessed as compliant vessels. Total crossings were 32 on July 10 and 30 on July 11. The Joint Maritime Information Center (JMIC) said July 12 that the regional threat level remained severe. Despite Iran’s closure declaration, JMIC said the southern route remained available and had been expanded for two-way vessel traffic. Energy carriers—including oil, chemical, LPG, and LNG tankers—accounted for about 48% of transits July 10-12. About two-thirds of energy-carrier crossings involved compliant vessels, although only 10 compliant energy carriers entered the Persian Gulf, mostly without visible automatic identification system (AIS) signals. Inbound tanker capacity also softened. An average 6.5 million b/d of new oil and LPG tanker capacity entered the Gulf through Hormuz July 1-12, with VLCCs and Suezmaxes accounting for nearly 80%. Average inbound capacity fell to 6 million b/d July 10-12 from 8.5 million b/d in the first week of July. All compliant outbound energy carriers transiting Hormuz during the 3-day period did so without visible AIS signals, including ADNOC-operated LNG carrier AL HAMRA and several VLCC and product tankers. Iran-linked and US-sanctioned vessels accounted for nearly 60% of all crossings during the period.

When Buildability Breaks: What Prince William and New York Signal for Data Center Development

For several years, the Prince William Digital Gateway represented data center ambition at its largest scale: a proposed 2,100-acre technology corridor near Gainesville, Virginia, capable of accommodating tens of millions of square feet of digital infrastructure. Its location also made it uniquely contentious. The corridor bordered Manassas National Battlefield Park and other historic, environmental and residential resources, drawing the data center development debate beyond its usual industry and land-use constituencies. Opposition increasingly centered not only on the project’s scale, but on whether development of that magnitude belonged alongside one of the country’s most significant Civil War landscapes. In July 2026, that vision effectively ended. QTS Data Centers terminated its participation in the Digital Gateway and withdrew its remaining petitions before the Supreme Court of Virginia. The decision followed Compass Datacenters’ withdrawal in April, leaving neither of the project’s original developers pursuing the corridor. QTS said it reached the decision after “careful consideration,” while emphasizing that Virginia remains an important market for the company. From Proposed Capacity to Executable Capacity The collapse of the Digital Gateway is more than the cancellation of one unusually large development. It comes as the data center industry confronts a widening gap between announced capacity and executable capacity. Power remains the most visible constraint. But permitting discipline, environmental review, community acceptance and the durability of political support are increasingly determining whether a project can progress from land control and conceptual capacity to construction and operation. A separate development in New York underscored that shift less than two weeks after QTS withdrew. On July 14, Gov. Kathy Hochul issued Executive Order 62, establishing what the state describes as the nation’s first statewide moratorium on new hyperscale data centers. The order temporarily holds in abeyance certain incomplete state environmental permit applications for data centers capable of drawing at

Q&A: Google’s AI and computing chief talks about its shapeshifting data centers

Mark Lohmeyer: We’ve seen the rise of agents and agentic use cases. Years ago, it was the chat phase: Ask a question, get an answer. Now we’re in the agentic era, where you express your intent, agents spin off multiple sub-agents, working in parallel, preserving state. This is a radical shift in what infrastructure needs to do; make them fast, cost effective, secure, reliable. We’re delivering infrastructure optimized for the age of agents. NW: What’s the goal of the infrastructure buildout, and what should customers expect regarding costs? ML: Ultimately, it’s about enabling customers with leading-edge capabilities and models at scale cost-effectively. With agents, inference transactions increase by 50x, 100x versus non-agentic workloads. We’re driving the cost per transaction down exponentially. In our latest platforms, we reduce the cost by almost 2x for the same work. Customers serve twice the number of users at the same cost, directly driving profitability.

Google transforms its data center architecture for agent era

Google adjusted the Google Kubernetes Engine into an agent-native environment, where agents could be quickly spun up in sandboxes and containers. “From an infrastructure perspective, you need to spin up a bunch of TPUs or GPUs very rapidly. Then you need to be able to run them and spin them back down,” Lohmeyer said. Google also made drastic improvements to its silicon to support its middleware changes. It recently introduced new AI chips, with the TPU-8t for training, and TPU-8i for inference. The 8t chip has three times more computing power than the previous-generation Ironwood chip. The 8i chip has 384 megabytes of SRAM and 288GB of HBM3e memory, which is 50% more than the previous-generation chip. The platform is optimized for KV cache (key-value cache), which stores important contextual information needed by agents to make decisions, which reduces the round trips to other memory and storage systems. “Being able to store more of the KV cache directly on the chip allows you to respond much more rapidly and cost-effectively,” Lohmeyer said.

10 Reasons You Cannot Afford to Miss DCF Trends Summit 2026

The data center industry has no shortage of AI infrastructure ambition. What it lacks is certainty. Power is harder to secure. Designs are advancing faster than facilities can be built. Supply chains remain vulnerable. Liquid cooling is adding operational demands. Projects that look viable on paper can still stall on permitting, commissioning or community opposition. The question in 2026 is no longer how large the AI opportunity may become. It is what can actually be delivered, and who has learned how to deliver it. That question defines the 2026 Data Center Frontier Trends Summit, August 4–6 at the Hyatt Regency Reston. Across three days, the people building, powering, financing and operating next-generation infrastructure will examine what is working, where execution is failing and how the market is responding. This is not a conference about whether AI will create demand. It is about who will be able to meet it. The advantage will belong to those who join the conversation before its conclusions become market consensus. Here are 10 reasons to be in the room. 1. The industry has entered the execution era For several years, the market has been defined by projected demand, capacity, density and investment. The next phase will be defined by execution. AI data center announcements remain abundant. Energized, commissioned and operational capacity is harder to find. DCFTS begins with a live editorial calibration, followed by “The New Geography of AI,” featuring EdgeCore CEO Lee Kestler, Data Center Frontier founder Rich Miller and DCF Editor in Chief Matt Vincent. The focus: how power, entitled land, utility partnerships and execution speed are determining where AI capacity can be built—and who can deliver it. Demand creates opportunity. Execution determines who captures it. 2. Power will be treated as the foundation of AI strategy Power is no longer one workstream

Time to Power: Sage Geosystems CEO Cindy Taff on Geothermal’s AI Infrastructure Moment

Three years ago, the data center industry’s energy conversation was largely framed around emissions. Hyperscale operators were setting carbon-free energy targets, signing renewable power agreements, and aligning their expanding infrastructure portfolios with corporate sustainability commitments. The arrival of generative AI has not eliminated those priorities. But it has reordered them. “Three years ago, data center energy, they were really focused on low emissions, no emissions,” said Cindy Taff, CEO of Sage Geosystems. “Now the primary challenge is just enough energy.” Speaking on the Data Center Frontier Show podcast, Taff described an energy market being reshaped by the speed and physical scale of AI infrastructure development. After decades of relatively flat U.S. electricity demand, AI has introduced a new class of concentrated, rapidly arriving industrial load. The result is a shift away from thinking only about how much generating capacity exists in aggregate and toward a harder question: Can usable power be delivered at a specific site, on a predictable schedule, in the quantities an AI campus requires? For hyperscalers, neocloud providers, data center developers, utilities, and energy companies, that distinction is becoming central to project execution. “I think time to power is the most precious metric right now versus cost or total capacity,” Taff said. Capacity on Paper Is Not Power at the Site Announcements of new generation can create the appearance of an energy system capable of meeting rising data center demand. But a megawatt located far from a planned campus, trapped behind a transmission constraint, or unavailable until the next decade has limited value to a developer trying to energize an AI facility within several years. “Aggregate capacity is not going to solve the problem if the power really isn’t where and when you need it,” Taff said. Data centers are large physical facilities tied to specific parcels,

Tech Explainer: Data Center Cooling – Air, Evaporative, Liquid, and Hybrid Approaches

Data Center Cooling Glossary The following definitions reflect common terminology used in Department of Energy guidance, ASHRAE TC 9.9 materials, Berkeley Lab resources and Green Grid efficiency metrics. Adiabatic Cooling — A cooling process that uses water evaporation to lower the temperature of air before it reaches a heat exchanger or cooling coil. It can reduce compressor demand but consumes water when evaporative assistance is active. Air-Cooled Data Center — A facility in which heat is removed from IT equipment primarily by moving conditioned air through servers, even if that heat is later transferred to water or refrigerant elsewhere in the cooling system. Air Handler — Equipment that moves, filters and conditions air before delivering it to a data hall or other controlled space. Air-Side Economizer — A system that uses suitable outdoor air, either directly or mixed with return air, to reduce or avoid compressor-based refrigeration. Airflow Management — The practice of delivering conditioned air where it is needed while preventing hot exhaust air from recirculating into server inlets. Approach Temperature — The temperature difference between the two fluids leaving a heat exchanger at their closest thermal point. In a cooling tower, it commonly refers to the difference between leaving-water temperature and entering-air wet-bulb temperature. A smaller approach generally indicates more effective heat transfer. ASHRAE TC 9.9 — The ASHRAE technical committee focused on mission-critical facilities, data centers, technology spaces and electronic equipment. It is a major source of environmental and thermal guidance for data center operators and equipment manufacturers. Blanking Panel — A panel installed in unused rack spaces to prevent hot exhaust air from recirculating to server intakes. British Thermal Unit, or BTU — A unit of heat energy commonly used to express the heating or cooling capacity of equipment. Cabinet — An enclosure, also commonly called

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.

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

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

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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