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FTC digs deeper into Microsoft’s bundling and licensing practices

Relationship with OpenAI While much of the initial query, and subsequent ones, have focused on licensing and bundling, the FTC is also looking into the company’s relationship with OpenAI, and raising questions about Microsoft’s data centers, capacity constraints, and AI spending and research. Notably, the tech giant’s initial $1 billion investment in OpenAI has grown […]

Relationship with OpenAI

While much of the initial query, and subsequent ones, have focused on licensing and bundling, the FTC is also looking into the company’s relationship with OpenAI, and raising questions about Microsoft’s data centers, capacity constraints, and AI spending and research.

Notably, the tech giant’s initial $1 billion investment in OpenAI has grown into a multi-billion-dollar partnership, with Microsoft rolling out ChatGPT-powered features across its product line in 2023. The FTC is examining whether the relationship is an undisclosed merger that should have been subject to antitrust review.

Further, the federal agency is scrutinizing Microsoft’s alleged decision to scale back its own AI research following the OpenAI investment, potentially reducing competition.

Ultimately, all of this recalls the industry-shaping 1990s US federal investigation into Microsoft’s monopoly of desktop software and web browsers. A federal judge ruled at the time that the company deliberately built the Internet Explorer (IE) browser into Windows to edge out rivals like the now-defunct Netscape.

And, analysts note, it’s an indication that Microsoft hasn’t learned from those past lessons.

“While technology and trends may have evolved since Microsoft’s first anti-trust case in 1998, where they were forced to unbundle IE from Windows OS, their tactics have stayed remarkably the same,” Bickley noted.

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AI agent traffic drives first profitable year for Fastly

Fetcher bots, which retrieve content in real time when users make queries to AI assistants, show different concentration patterns. OpenAI’s ChatGPT and related bots generated 68% of fetcher bot requests. In some cases, fetcher bot request volumes exceeded 39,000 requests per minute to individual sites. AI agents check multiple websites

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Oil Posts Second Straight Weekly Drop

Oil notched its first back-to-back weekly drop this year as traders weighed the prospect of expanded OPEC+ supplies against US-Iran nuclear talks and recent weakness in wider markets. West Texas Intermediate fell 1% for the week and ended the day little changed on Friday. President Donald Trump said the US deployed an additional aircraft carrier to the Middle East in case a nuclear deal is not reached with Iran. “If we don’t have a deal, we’ll need it,” Trump said at the White House. He added he thinks negotiations will ultimately be successful. Traders have been watching for any uptick in tensions between Washington and Tehran that could pose a threat to supply from the Middle East. The commodity was down earlier as OPEC+ members see scope for output increases to resume in April, believing concerns about a glut are overblown, delegates said. The group has not yet committed to any course of action or begun formal discussions for a March 1 meeting, they added. A second weekly decline in the futures market stands to snap a long run of gains for early 2026, when recurrent bouts of geopolitical tension including the US stand-off with Iran supported oil prices. At an energy conference in London this week, attendees flagged that they expect worldwide supplies to top demand this year, potentially feeding into higher inventories in the Atlantic basin, the region where global prices are set. Still, a pile-up of sanctioned oil coupled with supply disruptions in various nations has limited the impact thus far. Trading may be thinner ahead of the Presidents’ Day holiday in the US, contributing to exaggerated price swings. Oil Prices WTI for March delivery settled up 0.1% at $62.89 a barrel in New York. Brent for April settlement edged 0.3% higher to $67.75 a barrel. What

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Reliance Gets USA License to Directly Buy VEN Crude

Indian refiner Reliance Industries Ltd. has received a general license from the US government that will allow it to purchase Venezuelan oil directly, according to a person familiar with the matter.  Reliance, owned by billionaire Mukesh Ambani, applied for the permit last month and received it from the Treasury Department a few days ago, the person said, asking not to be named as the matter is not public. The move comes immediately on the heels of a trade deal with the US that slashes punitive tariffs for Indian exports but demands that the country stop importing discounted Russian oil. The Indian government has asked state-owned refiners to consider buying more Venezuelan crude, as well as oil from the US.  Venezuela is unlikely to produce large volumes of crude anytime soon, but even limited supplies provide a fallback option for India’s largest refiner. The US — which has stepped up involvement in Venezuela’s oil sector after capturing the country’s president last month — has been considering general licenses to permit purchases, trading and investment in a sprawling but threadbare industry. Reliance is the first Indian refiner to receive clearance in the current push.  Reliance has historically been an important consumer of the country’s heavy crude, having struck a term deal to secure as much as 400,000 barrels a day from Petroleos de Venezuela SA in 2012. It is among only a handful of refiners in India that have the capacity to process the high-viscosity, sour oil, which is difficult to extract and refine without diluent.  The Indian refining giant took about 25% of Venezuela’s exports in 2019, before its term deal got suspended in 2019 due to US sanctions. It last received a general license in 2024 and took crude until that expired last year, and was not renewed. Reuters first reported the issuance of

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Baker Hughes Explores $1.5B Sale of Waygate Unit

Baker Hughes Co. is exploring a potential sale of its Waygate Technologies unit, which provides industrial testing and inspection equipment, people with knowledge of the matter said.  The world’s second-biggest oilfield contractor is working with advisers to study a possible divestment of the Waygate business, which could fetch around $1.5 billion, according to the people. A sale process could kick off in the next few months and attract interest from private equity firms, the people said, asking not to be identified because the information is private.  Deliberations are ongoing and there’s no certainty they will lead to a transaction, the people said. A representative for Baker Hughes declined to comment.  Waygate, based in Hürth, Germany, makes radiographic testing systems, industrial CT scanners, remote visual inspection machines and ultrasonic testing devices. It operates in more than 80 countries and is known for brands including Krautkrämer, phoenix|x-ray, Seifert, Everest and Agfa NDT.  The company was started in 2004 as GE Inspection Technologies. It’s been under the current ownership since 2017, when General Electric Co. combined its oil and gas division with Baker Hughes in a $32 billion deal.  Baker Hughes is selling the non-core asset after agreeing last year to buy industrial equipment maker Chart Industries Inc. for about $9.6 billion in one of its biggest-ever acquisitions. Chief Executive Officer Lorenzo Simonelli said in October last year that Baker Hughes is undertaking a “comprehensive evaluation” of its capital allocation focus following the Chart deal in order to boost shareholder value.  The pending sale would join other sizeable corporate divestments in Europe. Volkswagen AG has launched the sale of a majority stake in its heavy diesel engine maker Everllence, while Continental AG is selling its Contitech business. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions

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EIA Raises 2026 WTI Forecast, Lowers 2027 Projection

The U.S. Energy Information Administration (EIA) increased its 2026 West Texas Intermediate (WTI) crude oil average spot price forecast, and lowered its 2027 projection, in its latest short term energy outlook (STEO). According to the EIA’s February STEO, which was released on February 10, the EIA now sees the WTI spot price averaging $53.42 per barrel this year and $49.34 per barrel next year. In its previous STEO, which was released in January, the EIA projected that the WTI spot price would average $52.21 per barrel in 2026 and $50.36 per barrel in 2027. A quarterly breakdown included in the EIA’s latest STEO projected that the WTI average spot price will come in at $58.62 per barrel in the first quarter of this year, $53.65 per barrel in the second quarter, $51.69 per barrel in the third quarter, $50.00 per barrel in the fourth quarter, $49.00 per barrel in the first quarter of next year, $49.66 per barrel in the second quarter, $49.68 per barrel in the third quarter, and $49.00 per barrel in the fourth quarter of 2027. In its previous STEO, the EIA forecast that the WTI spot price would average $54.93 per barrel in the first quarter of this year, $52.67 per barrel in the second quarter, $52.03 per barrel in the third quarter, $49.34 per barrel in the fourth quarter, $49.00 per barrel in the first quarter of next year, $50.66 per barrel in the second quarter, $50.68 per barrel in the third quarter, and $51.00 per barrel in the fourth quarter of 2027. In a BMI report sent to Rigzone by the Fitch Group on Friday, BMI projected that the front month WTI crude price will average $64.00 per barrel in 2026 and $68.00 per barrel in 2027. Standard Chartered sees the NYMEX WTI nearby

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Some OPEC+ Members See Scope to Resume Hikes in April

Some OPEC+ members see scope for the alliance to resume supply increases in April, believing concerns of a glut in global oil markets to be overblown. The group led by Saudi Arabia and Russia hasn’t committed to any course of action or begun formal discussions ahead of its meeting on March 1, according to several delegates, who asked not to be identified as the process is private. Their ultimate decision may depend on whether US President Donald Trump launches military action against — or reaches a nuclear deal with — OPEC member Iran, one added.  Nonetheless, some nations in the Organization of the Petroleum Exporting Countries and its allies said they see room to resume the output increases the coalition paused during the seasonal demand slowdown of the first quarter.  Trump’s assertive stance toward OPEC members Venezuela and Iran, along with disruptions spanning from North America to Kazakhstan, drove oil prices to a strong start of the year despite warnings of a supply glut. Several top traders have said that prices are supported by tightness in key markets, as many of the surplus barrels are from producers subject to sanctions like Russia and Iran, and thus remain unavailable to a wider pool of buyers. That has made the market surprisingly resilient. Brent futures are up 11% this year, after spiking to a six-month high near $72 a barrel at the end of January over concerns a conflict might erupt in the Middle East. Oil inventories piled up last year at the fastest pace since the 2020 pandemic amid swelling output from both OPEC+ and its competitors in the Americas, according to the International Energy Agency, though the impact on prices was tempered as China scooped up barrels for its strategic reserves. Last April, the Saudis stunned crude traders by steering OPEC+ to

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ADNOC Drilling Delivers ‘Best Year on Record’

In a release sent to Rigzone on Thursday, ADNOC Drilling said it had delivered its “best year on record with 2025 net profit of $1.45 billion”. “ADNOC Drilling Company PJSC announced today record fourth quarter and full year 2025 results, marking a step change in scale, technology-enabled performance and excellence in execution,” the company noted in the release. “This performance represents the strongest in the company’s history, reflecting high asset utilization and continued growth across integrated drilling and oilfield services, and driven by strong operational execution across the fleet,” it added. ADNOC Drilling highlighted in the release that its 2025 net profit marked an 11 percent year on year increase. In 2025, the company reported revenue of $4.9 billion, which it pointed out was a 22 percent increase year on year, and EBITDA of $2.2 billion, which it highlighted was an increase of nine percent year on year. “2025 was a defining year for ADNOC Drilling,” ADNOC Drilling CEO Abdulla Ateya Al Messabi said in the release. “Our record breaking results were delivered by our people, whose discipline, innovation and commitment to operational excellence and safety underpin every milestone we achieve,” Messabi added. “Our resilience as a business, built on strong systems, disciplined operations and the ability to adapt at pace, continues to reinforce our competitive strength,” the CEO continued. “Through execution excellence, technology‑led efficiency and a disciplined approach to capital allocation and operations, we continue our transformation into the region’s most advanced energy services company,” Messabi said. “By expanding across the GCC, pioneering AI‑driven operations and setting new benchmarks in sustainability, we are unlocking value and helping power the UAE’s energy future. This is just the beginning of a new era of growth, innovation and impact,” Messabi went on to note. In a release posted on its site in November last year, ADNOC Drilling announced that

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FTC digs deeper into Microsoft’s bundling and licensing practices

Relationship with OpenAI While much of the initial query, and subsequent ones, have focused on licensing and bundling, the FTC is also looking into the company’s relationship with OpenAI, and raising questions about Microsoft’s data centers, capacity constraints, and AI spending and research. Notably, the tech giant’s initial $1 billion investment in OpenAI has grown into a multi-billion-dollar partnership, with Microsoft rolling out ChatGPT-powered features across its product line in 2023. The FTC is examining whether the relationship is an undisclosed merger that should have been subject to antitrust review. Further, the federal agency is scrutinizing Microsoft’s alleged decision to scale back its own AI research following the OpenAI investment, potentially reducing competition. Ultimately, all of this recalls the industry-shaping 1990s US federal investigation into Microsoft’s monopoly of desktop software and web browsers. A federal judge ruled at the time that the company deliberately built the Internet Explorer (IE) browser into Windows to edge out rivals like the now-defunct Netscape. And, analysts note, it’s an indication that Microsoft hasn’t learned from those past lessons. “While technology and trends may have evolved since Microsoft’s first anti-trust case in 1998, where they were forced to unbundle IE from Windows OS, their tactics have stayed remarkably the same,” Bickley noted.

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Nvidia: Latest news and insights

Nvidia: ‘Graphics 3.0’ will drive physical AI productivity August 15, 2025: Nvidia has floated the idea of “Graphics 3.0” with the hope of making AI-generated graphics central to physical productivity. The concept revolves around graphics created by genAI tools. Nvidia say AI-generated graphics could help in training robots to do their jobs in the physical world or by helping AI assistants automate the creation of equipment and structures. Nvidia launches Blackwell-powered RTX Pro GPUs for compact AI workstations August 12, 2025: Nvidia announced two new professional GPUs, the RTX Pro 4000 Small Form Factor (SFF) and the RTX Pro 2000. Built on its Blackwell architecture, Nvidia’s new GPUs aim to deliver powerful AI capabilities in compact desktop and workstation deployments. Nvidia’s new genAI model helps robots think like humans August 11, 2025: Nvidia has developed a genAI model to help robots make human-like decisions by analyzing surrounding scenes. The Cosmos Reason model in robots can take in information from video and graphics input, analyze the data, and use its understanding to make decisions. Nvidia patches critical Triton server bugs that threaten AI model security August 5, 2025: A surprising attack chain in Nvidia’s Triton Inference Server, starting with a seemingly minor memory-name leak, could allow full remote server takeover without user authentication. China demands ‘security evidence’ from Nvidia over H20 chip backdoor fears August 4, 2025: China escalated pressure on Nvidia with the state-controlled People’s Daily publishing an opinion piece titled “Nvidia, how can I trust you?” — a day after regulators summoned company officials over alleged security vulnerabilities in H20 artificial intelligence chips. Nvidia to restart H20 exports to China, unveils new export-compliant GPU July 15, 2025: Nvidia will restart H20 AI chip sales to China and release a new GPU model compliant with export rules, a move that could impact global AI

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Starcloud prepares to launch AWS Outpost into space

One executive skeptical of the idea of data centers in space is AWS’s own CEO, Matt Garman. “There are not enough rockets to launch a million satellites yet, so we’re, like, pretty far from that. If you think about the cost of getting a payload in space today, it’s massive,” Garman told attendees at the Cisco AI summit, according to a Reuters report. Garman is just one of many critics of the notion that data centers can be a viable alternative. Issues such as collisions with space debris, the difficulty of supplying water as a coolant, the impossibility of fixing hardware issues and latency have all been highlighted as potential problems.

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Data center capex to hit $1.7 trillion by 2030 due to AI boom

Asked on Thursday about the fact that capex is expected to approach the $1 trillion mark in 2026, he said it is somewhat surprising. “Last year, I thought it would take at least three years to get to that trillion dollar mark,” he said. “It seems increases are supported by the result of larger models needed for training infrastructure, and in turn, you need inference as well. You also need a supporting infrastructure in storage, networking, power, and cooling.” AI, he said, has become “the tide that lift all boats, meaning that in addition to the core accelerated compute, AI also positively impacts complementary infrastructure, such as storage, networking, and physical infrastructure.” Fung added that while much of the achievement of projected spending estimates will depend on whether or not this growth is sustainable, he pointed out, “it seems like the large hyperscalers have a lot of weight in optimizing cash flow and cost structures. They’re trying to get as creative as possible, generally moving towards a more vertical, integrated stack with their own custom networking and external financing, which would help  [create] more sustainable deployments and operations.” Enterprises thinking of expanding their own infrastructure can learn from this growth. In a recent article on the hyper spending of hyperscalers, Greyhound Research chief analyst Sanchit Vir Gogia said their capex spending  levels can help pinpoint where the hyperscalers are expecting bottlenecks, which is useful information for enterprises planning their own cloud strategy across multiple geographies. These and other factors can help enterprises plan their own execution timelines, he said. This article originally appeared on CIO.com.

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Cisco highlights memory costs, Silicon One growth in Q2 recap

“AI infrastructure orders taken from hyperscalers totaled $2.1 billion in Q2 compared to $1.3 billion just last quarter and equal to the total orders taken in all of fiscal year ’25, marking another significant acceleration in growth across our silicon, systems and optics,” Robbins said. “Given the strong demand for our Silicon One systems and optics, we now expect to take AI orders in excess of $5 billion and to recognize over $3 billion in AI infrastructure revenue from hyperscalers in FY ’26.” Regarding enterprise uptake, Robbins said Cisco took in $350 million in AI orders from enterprise customers in Q2 and has a pipeline in excess of $2.5 billion for its high-performance AI infrastructure portfolio. Cisco is seeing early enterprise use cases for AI around fraud detection and video analytics in sectors such as financial, manufacturing and pharmaceuticals, for example. “I also see examples in retail, where customers are leveraging agents on mobile devices in retail to help their staff do a better job engaging with their customers. We’re seeing a combination of both investment in cloud-based architectures as well as on prem,” Robbins said. Networking rules Cisco is experiencing a faster-than-historical ramp-up of next-generation platforms, including its Catalyst 9K, Wi-Fi 7, and smart switches, stated Sebastien Naji, a research analyst with William Blair, in a report after the call. He attributed it to three factors: an accelerated refresh cycle in the data center; early AI-readiness efforts in the enterprise; and end-of-support for legacy Catalyst and Nexus switches.  “We are seeing strong demand for our next-generation switching, routing and wireless products, which continue to ramp faster than prior product launches. We’re delivering AI-native capabilities across these products, including weaving security into the fabric of the network and modernizing the operational stack of campus networks,” Robbins said. Co-packaged optics? When asked

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Energy providers seek flexible load strategies for data center operations

“In theory, yes, they’d have to wait a little bit longer while their queries are routed to a data center that has capacity,” said Lawrence. The one thing the industry cannot do is operate like it has in the past, where data center power was tuned and then forgotten for six months. Previously, data centers would test their power sources once or twice a year. They don’t have that luxury anymore. They need to check their power sources and loads far more regularly, according to Lawrence. “I think that for that for the data center industry to continue to survive like we all need it, there’s going to have to be some realignment on the incentives to why somebody would become flexible,” said Lawrence. The survey suggests that utilities and load operators expect to expand their demand response activities and budgets in the near term. Sixty-three percent of respondents anticipate DR program funding to grow by 50% or more over the next three years. While they remain a major source of load growth and system strain, 57% of respondents indicate that onsite power generation from data centers will be most important to improving grid stability over the next five years. One of the proposed fixes to the power shortage has been small modular nuclear reactors. These have gained a lot of traction in the marketplace even if they have nothing to sell yet. But Lawrence said that that’s not an ideal solution for existing power generators, ironically enough.

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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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