Introducing Veo 3.1 and advanced creative capabilities

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Introducing Veo 3.1 and advanced creative capabilities

Five months ago, we introduced Flow, our AI filmmaking tool powered by Veo, and have been inspired by the creativity it has sparked with over 275 million videos generated in Flow . We’re always listening to your feedback, and we’ve heard that you want more artistic control within Flow, with increased support for audio across all features.Today, we’re introducing new and enhanced creative capabilities to edit your clips, giving you more granular control over your final scene. For the first time, we’re also bringing audio to existing capabilities like “Ingredients to Video,” “Frames to Video” and “Extend.”We’re also introducing Veo 3.1, which brings richer audio, more narrative control, and enhanced realism that captures true-to-life textures. Veo 3.1 is state-of-the-art and builds on Veo 3, with stronger prompt adherence and improved audiovisual quality when turning images into videos.

Five months ago, we introduced Flow, our AI filmmaking tool powered by Veo, and have been inspired by the creativity it has sparked with over 275 million videos generated in Flow

. We’re always listening to your feedback, and we’ve heard that you want more artistic control within Flow, with increased support for audio across all features.

Today, we’re introducing new and enhanced creative capabilities to edit your clips, giving you more granular control over your final scene. For the first time, we’re also bringing audio to existing capabilities like “Ingredients to Video,” “Frames to Video” and “Extend.”

We’re also introducing Veo 3.1, which brings richer audio, more narrative control, and enhanced realism that captures true-to-life textures. Veo 3.1 is state-of-the-art and builds on Veo 3, with stronger prompt adherence and improved audiovisual quality when turning images into videos.

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New Cisco firewall zero-day being actively exploited

A high-severity flaw in the Remote Access SSL VPN service of Cisco Secure Firewall Adaptive Security Appliance (ASA) and Cisco Secure Firewall Threat Defense (FTD) is under active exploitation to crash vulnerable devices. The vulnerability, tracked as CVE-2026-76418 and rated 8.6 in severity, is due to logic errors when secondary

Shell adds to Gulf of Mexico production with Silvertip Phase 3 startup

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Data center purchases of electrical equipment up 80% since 2025: Hubbell

Data center demand for electrical equipment soared over the past quarter while utility sales have slowed somewhat, company leaders said Tuesday during Hubbell’s third-quarter earnings call. Hubbell’s Electrical Solutions segment saw organic sales rise 22% year over- year, Chief Financial Officer Joe Capozzoli said. Sales to data centers rose more

Oracle adds Google TPUs to OCI to expand enterprise AI compute options

However, access to the chips alone will not determine the economics of a deployment. “An enterprise may have models, tools, and skills built around a different accelerator. Before switching, it needs to know what runs on TPUs, what needs to change, and how much effort it takes to maintain. A

States must take a critical eye to gas plants proposed over clean energy

Listen to the article 5 min This audio is auto-generated. Please let us know if you have feedback. Will Scott is the North Carolina policy director of the Environmental Defense Fund. Hudson Kingston is the legal director at CURE, a nonprofit rural environmental and energy democracy organization in Minnesota. The data center boom has become a cash cow for investor-owned utilities across the country. Many utility companies are seeking approval for costly new gas plants and other fossil fuel infrastructure based on uncertain projections of future demand for data centers and other large customers. If those projections fall short, ratepayers are left with 30 years of payments for projects that are increasingly expensive to build and slow to develop. We can’t let phantom projections for new data centers leave regular ratepayers with the bill. Hudson Kingston Historically, state regulators have given utilities significant latitude to pursue new generation. Yet, as heating and cooling bills become painfully unaffordable for families and local businesses, utility regulators are increasingly skeptical of proposals that could leave them paying for decades of dirty and expensive fossil fuel infrastructure, when clean, renewable energy and batteries provide a reliable, homegrown and affordable alternative. Indeed, a recent study found that batteries are now cheaper than gas peaker plants, globally. Will Scott While customers are forced to pay increasingly higher energy bills, utility shareholders are guaranteed profits on centralized fossil energy projects. The bigger and more costly the construction, the more money energy corporations make. Once new energy infrastructure is approved by state regulators, utilities can start recovering the costs through customer rates even before the project is built and in use. Because utilities make profits off the infrastructure they build, and not the energy they sell, executives have a financial incentive to keep building to benefit shareholders. To

TotalEnergies farms out partial interest in block offshore Nigeria ahead of appraisal

TotalEnergies agreed to farm out a 40% participating interest in Block OPL257 offshore Nigeria to South Atlantic Petroleum Ltd. (SAPETRO). Upon completion of the deal, TotalEnergies will hold a 50% operated interest in the block with SAPETRO (40%) and Conoil (10%) as partners. TotalEnergies became operator of the block following a 2025 asset interest exchange with Conoil. OPL257 lies 150 km offshore Nigeria and covers an area of about 370 sq km. The block is adjacent to PPL261 where TotalEnergies (24%) and its partners, including SAPETRO, discovered Egina South oil field in 2005, which lies in 1,650 m of water and straddles both blocks. Drilling of an Egina South appraisal well is expected in the coming months on the OPL257 side. The field is expected to be developed as a tie-back to the Egina FPSO about 30 km away. The project has the potential to deliver up to 140 million bbl of oil reserves, according to SAPETRO. Consolidating the partnership “paves the way for a quick appraisal campaign and subsequent development of Egina South in the success case,” said Mike Sangster, senior vice-president Africa exploration and production at TotalEnergies. Completion of the farm-out agreement is subject to customary conditions, including regulatory approvals.

Valero to acquire former LyondellBasell Houston oil refinery, restart 165,000 b/d by end-2027

Valero Energy Corp. plans to acquire a former LyondellBasell Industries NV Houston refinery and restart 165,000 b/d of light sweet crude oil processing by yearend 2027. Valero Refining-Texas LP has agreed to acquire the shuttered full-conversion refinery from LyondellBasell for $320.5 million. The transaction includes about 700 acres on the Houston Ship Channel adjacent to the Valero Houston Refinery, 13.5 million bbl of storage capacity, and logistics infrastructure including marine docks, rail-loading facilities, and truck racks. The acquisition will help address intermediate feedstock shortages across Valero’s US Gulf Coast refining system, reducing reliance on third-party purchases while creating opportunities to integrate refining and logistics operations, the company said in an Oct. 30 presentation. Incremental FCC and hydrocracker feed production would reduce external feedstock sourcing, while excess hydrotreating capacity could be used to upgrade intermediates from other Valero US Gulf Coast refineries, the company said. By yearend 2027, Valero expects to restart light sweet crude oil processing and said the site could support future investment in heavy sour crude processing, according to chairman, chief executive officer, and president Lane Riggs. The company did not provide financial details or a timetable for potential heavy sour crude processing projects. LyondellBasell announced plans in April 2022 to cease operation of subsidiary Houston Refining LP’s 268,000-b/d refinery as part of its exit from the crude oil refining business. Following delays, the refinery was shuttered in March 2025. Over the years, LyondellBasell evaluated options for the site, including a potential plan to transition the refinery into a hydrogen production site. Ultimately, the company said, it determined selling the asset “offered the most compelling opportunity” to advance the company’s priorities. Closing of the transaction is expected by yearend, subject to customary closing conditions.

Celebrate National Bioenergy Day: Explore the Possibilities of Biomass

How can biomass power new possibilities for energy innovation and the products we use every day? Today is National Bioenergy Day, an annual opportunity to recognize the role biomass and innovative technologies can play in strengthening the U.S. bioeconomy. Bioenergy is a form of energy produced from alternative feedstocks called biomass. These resources, which include agricultural and forestry residues, purpose-grown crops, algae, and waste materials, can be converted into chemicals, fertilizers, alternative fuels, and other materials to support farmers, ranchers, and consumers while also lowering prices through increased supply. The United States has an abundant supply of biomass. The U.S. Department of Energy’s (DOE) Alternative Fuels and Feedstocks Office (AFFO) Billion-Ton Report establishes America’s potential to produce more than 1 billion tons of biomass annually, highlighting the scale of resources available to support a growing bioeconomy and energy security and dominance. In celebration of National Bioenergy Day, AFFO is highlighting recent investments, research accomplishments, and resources that demonstrate the possibilities of biomass and the innovative technologies that transform these resources into valuable products. Exploring Bioenergy in Action What does that transformation look like? Explore AFFO resources that cover the basics of bioenergy and offer a closer look at how researchers are advancing technologies across the bioenergy supply chain. Watch the Bioenergy 101 video to learn how biomass is broken down and refined through various methods, including combustion, gasification, and fermentation, to advance technology development and innovation across the entire biomass-to-bioenergy supply chain. Take a look inside the Idaho National Laboratory’s Biomass Feedstock National User Facility, which offers technology and expertise to help the U.S. bioenergy industry overcome challenges associated with the scale-up and integration of biomass preprocessing facilities. Investing in Emerging Chemical Technologies These efforts are part of a broader push to move promising technologies from research to commercial application. AFFO recently announced the Accelerating Scale-up

Energy Department Awards Contracts from the Strategic Petroleum Reserve as Part of President Trump’s Emergency Exchange

WASHINGTON–The U.S. Department of Energy (DOE) today announced contract awards for an exchange of more than 40 million barrels of crude oil from the Strategic Petroleum Reserve (SPR), including volumes offered through previous solicitations. Today’s awards are part of DOE’s execution of President Trump’s 172-million-barrel release, which contributes to a coordinated 400-million-barrel action by International Energy Agency (IEA) member nations’ strategic reserves. “DOE’s latest awards of more than 40 million barrels complete our commitment to release 172 million barrels from the Strategic Petroleum Reserve,” said DOE Under Secretary Kyle Haustveit. “Under President Trump’s leadership, we have secured the return of more than 216 million barrels to the Reserve beginning early next year—including 44 million additional premium barrels—with a value of more than $4 billion, at no additional cost to hardworking American taxpayers. By securing the return of more than we released, we are strengthening America’s energy security and ensuring the Strategic Petroleum Reserve remains ready for the future.” Crude oil under the awarded contracts will be supplied from the SPR’s Big Hill and Bryan Mound storage sites. DOE will coordinate with awardees, pipelines, terminals, and refining partners to support the safe and efficient movement of crude oil. These awards reinforce the Trump Administration’s commitment to energy security, long-term SPR readiness, and responsible stewardship of this critical national energy security asset. For more information on the SPR, please visit DOE’s website.

QatarEnergy continues LNG supply diversification effort with new Woodside deal

QatarEnergy has agreed to purchase up to 3 million tonnes/year (tpy) of LNG from Woodside Energy’s Louisiana LNG project under a 20-year contract, further expanding its US LNG portfolio as the export project advances toward first production. The agreement follows QatarEnergy’s recently signed LNG purchase deals with Cheniere and supports the company’s strategy of growing and diversifying its global LNG supply portfolio. His Excellency Saad Sherida Al-Kaabi, Minister of State for Energy Affairs and president and chief executive officer of QatarEnergy, said the additional volumes make QatarEnergy “the largest buyer of LNG from the US” and strengthen the company’s ability to meet growing global LNG demand. Under the terms of the agreement, deliveries will be on an FOB basis and are expected to begin in 2030. Woodside chief executive officer Meg O’Neill said the agreement, coupled with Woodside’s 2025 LNG supply agreement with Germany’s Uniper, help establish the project’s long-term customer base and provide revenue certainty for a portion of Louisiana LNG’s planned production. Louisiana LNG project update Louisiana LNG is under construction near Lake Charles, La., in Calcasieu Parish. The foundation project includes three trains with a combined capacity of 16.5 million tpy and is targeting first LNG in 2029. In its third-quarter report released Oct. 21, Woodside said the project is 32% complete and remains on budget. Train 1 is 41% complete with structural steel and above-ground piping installation progressed. Trains 2 and 3 were 27% and 22% complete respectively at the end of the quarter, with above-ground piping installation started for Train 2 and first concrete foundation poured for Train 3. Woodside said ongoing disruptions in the Middle East continue to affect structural steel supply, but the company is mitigating the impact through alternative logistics routes and fabrication sources.

Gartner warns $3.5T in AI infrastructure spending could be at risk by 2030

Musk predicted that more than 200 neocloud companies could face significant financial distress, predicting that only a small number would survive the coming shakeout. He also said SpaceX would not acquire any of the companies, describing such purchases as “pointless.” The chickens are already coming home to roost on the neoclouds. CoreWeave, Nebius, Applied Digital and TeraWulf have reported quarterly losses over the past year, while IREN has failed to turn a profit in its past three quarters. Shares of CoreWeave, Nebius and IREN have fallen more than 30% during October, according to Reuters. Building AI data centers requires substantial upfront investment in GPUs, networking equipment, power systems, cooling infrastructure and facilities. Operators must then generate enough revenue from leasing computing capacity to cover operating expenses, interest payments and equipment replacement.

The 50-Gigawatt Test: SemiAnalysis Sees a Historic Data Center Surge in 2027

The global data center industry is approaching a potentially historic test of its ability to turn artificial intelligence investment into operational infrastructure. In a provocative new forecast, semiconductor and AI infrastructure research firm SemiAnalysis predicts that approximately 51.2 gigawatts of net data center IT capacity will be added globally, excluding China, during 2027. That would represent more than double the 25 GW the firm expects to be added in 2026. Published October 19, the report, Datacenters 2027: The Year of Acceleration, +50GW in a Single Year, makes a forceful argument that much of this unprecedented expansion is already visible in the industry’s construction pipeline. Authored by Jeremie Eliahou Ontiveros, Reyk Knuhtsen and Dylan Patel, the analysis draws on SemiAnalysis’ proprietary tracking of construction starts, individual buildings, hyperscale leasing commitments, equipment procurement and project financing. Its researchers identify more than 60 GW of data center capacity under construction. Among the 40 largest campuses they examined, more than 24 GW is reportedly in advanced stages of development, with much of that capacity expected to be delivered in 2027. The forecast is not entirely composed of projects already under construction, however. SemiAnalysis’ capacity chart includes approximately 11.9 GW of 2027 additions associated with projects still classified as planned. The remainder is associated with facilities already operating or under construction, according to the model’s building-status categories. SemiAnalysis argues that the volume and maturity of projects already underway make a dramatic acceleration increasingly likely, despite well-documented constraints involving electricity, construction labor, equipment and capital. But the prediction has also become the subject of a revealing industry debate, with competing forecasts and new corporate disclosures raising questions about how much infrastructure can actually be delivered on schedule. The disagreement is no longer principally about whether AI infrastructure demand is real. It is about whether the industrial

HPE’s Quantum Computing Bet: A Multi-Vendor Path to the Data Center

QuEra Deal Targets On-Premises Quantum Integration Under the expanded collaboration, HPE and QuEra intend to develop integrated testbeds, software interoperability, hybrid algorithms and performance benchmarks to support future quantum deployments alongside HPE Cray supercomputing infrastructure. The work is intended to address the practical requirements of coordinating quantum processors with the classical computing systems that prepare workloads, process results and support quantum error correction. QuEra Chief Commercial Officer Yuval Boger, who previously discussed the development of hybrid quantum-classical infrastructure on the DCF Show, emphasized that integrating quantum hardware into an HPC environment presents different engineering challenges than providing access through the cloud. Boger said, “HPE’s deep experience in supercomputing gives organizations the benefit of working with a partner who can solve that problem at the scale they need.” The collaboration envisions deploying future fault-tolerant quantum hardware at customer facilities rather than requiring organizations to rely exclusively on cloud-based quantum computing services. That option could appeal to national laboratories, defense organizations, pharmaceutical researchers and other institutions managing classified information, proprietary intellectual property or data subject to sovereignty requirements. QuEra’s neutral-atom architecture uses individual atoms as qubits, manipulating them with lasers and electromagnetic controls. Unlike superconducting quantum processors, which generally require dilution refrigerators operating at temperatures measured in millikelvin, neutral-atom systems can operate without extreme cryogenic refrigeration. They still require specialized laser systems, vacuum equipment, precision optics and environmental controls, presenting facility requirements substantially different from those of conventional servers. On-premises quantum-HPC integration is already being tested. In Japan, the National Institute of Advanced Industrial Science and Technology (AIST) operates QuEra’s 260-physical-qubit Gemini neutral-atom computer as part of its ABCI-Q research platform, which also incorporates an NVIDIA H100-based AI supercomputer. An October 26 case study published by QuEra describes Gemini operating in a separate building approximately 350 meters from the main GPU installation,

At 7×24 Exchange, AI Data Center Growth Confronts New Realities of Power, Grid Reliability and Community Trust

DC BLOX: Community Engagement Must Go Beyond Public Relations The afternoon program shifted attention from electrical infrastructure to the growing challenges surrounding data center development and community acceptance. In a discussion moderated by Juli Ierulli, strategic account manager at Environmental Air Systems and vice president of 7×24 Exchange International, Michael Clark, senior vice president of data center construction at DC BLOX, described how the company has revised its approach to engaging communities as it expands into new markets. Clark acknowledged that DC BLOX had encountered significant opposition after entering markets where it lacked the established relationships that had supported earlier developments across the Southeast. “We made multiple stumbles in some of those new markets,” he said, describing how the company sometimes found itself responding to negative publicity rather than presenting a clear explanation of its plans and commitments. The experience led DC BLOX to develop a more systematic approach to community engagement, emphasizing early communication, site-specific websites, accessible explanations of resource consumption and written commitments that residents and officials can evaluate. Clark also pointed to what he called the industry’s “NDA hangover,” reflecting years of development activity conducted under confidentiality agreements that frequently left neighboring communities unaware of what was being planned. But perhaps the most revealing moment came when Clark recounted a conversation with residents near a DC BLOX development in Rockdale County, Georgia. After the company outlined the countywide economic and community benefits expected from the project, one neighbor challenged the distribution of those benefits. “So the rest of the county gets the benefit and we have to pay all the costs,” the resident observed, according to Clark. The question captured a fundamental tension in the industry’s community engagement efforts: tax revenues and economic development benefits may extend across a county, while nearby residents experience the immediate effects

NVIDIA’s DSX POD Pushes AI Factory Construction Toward the Assembly Line

Crusoe Brings an Established Modular Model to DSX POD For Crusoe, NVIDIA’s announcement builds on a modular computing strategy already in operation. In its October 21 announcement, Crusoe confirmed that its Spark modular AI data center platform will support DSX POD, extending a manufacturing and deployment approach the company says it has pursued since 2020. Crusoe has expanded its manufacturing capabilities through the acquisition of electrical equipment specialist Easter-Owens Electric and the development of its 352,000-square-foot Crusoe Spark Factory in Brighton, Colorado. The company also introduced Crusoe Spark Liquid, a sixth-generation modular system engineered for ultra-high-density infrastructure, including NVIDIA Vera Rubin NVL72. Next-generation liquid-cooled units are planned for 2027. Crusoe’s vertically integrated model connects infrastructure design and manufacturing with deployment and cloud operations through Crusoe Cloud. The company says it can deliver productive AI capacity in as little as three months, although that timeline is distinct from NVIDIA’s narrower 14-day prepared-site deployment claim. “Modular isn’t a new strategy or pivot for us. It’s been in our DNA since our founding,” said Bryan Schramm, Crusoe’s head of Spark. Crusoe’s involvement demonstrates that the manufacturing model predates DSX POD. NVIDIA is not inventing modular data center infrastructure; it is attempting to establish a common architecture around capabilities that suppliers such as Crusoe have already spent years developing. That distinction matters as the industry evaluates whether standardized AI factory designs can deliver manufacturing efficiencies at a scale beyond individual suppliers’ existing operations. Vertiv and Polar Put the Deployment Model to Work in Norway The European dimension of NVIDIA’s announcement is reflected in a deployment involving Vertiv and Polar Data Centers at Herøya, Norway. According to Vertiv’s October 21 announcement, Polar is applying a factory-built infrastructure approach to the initial 41 MW phase of a multiphase AI data center campus designed to scale to

Hyperscalers allow more scrutiny of controversial data center plans

Hyperscalers are getting decidedly twitchy about citizens’ reactions to their secretive data center construction plans, and are looking for ways to de-escalate some of the conflicts. Earlier this month, Amazon announced its Data Center Commitment which, among other things, would disclose more information about energy and water use and consider a moratorium asking government officials to sign non-disclosure agreements covering their planning applications. Amazon is not alone in this. Earlier this week, Meta said that it was reviewing its use of NDAs after the company was widely criticized for its secrecy in proposing Hyperion, a Louisiana data center in July.

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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