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The first new subsea habitat in 40 years is about to launch

EXECUTIVE SUMMARY Vanguard feels and smells like a new RV. It has long, gray banquettes that convert into bunks, a microwave cleverly hidden under a counter, a functional steel sink with a French press and crockery above. A weird little toilet hides behind a curtain. But some clues hint that you can’t just fire up Vanguard’s engine and roll off the lot. The least subtle is its door, a massive disc of steel complete with a wheel that spins to lock. COURTESY MARK HARRIS Once it is sealed and moved to its permanent home beneath the waves of the Florida Keys National Marine Sanctuary early next year, Vanguard will be the world’s first new subsea habitat in nearly four decades. Teams of four scientists will live and work on the seabed for a week at a time, entering and leaving the habitat as scuba divers. Their missions could include reef restoration, species surveys, underwater archaeology, or even astronaut training.  One of Vanguard’s modules, unappetizingly named the “wet porch,” has a permanent opening in the floor (a.k.a. a “moon pool”) that doesn’t flood because Vanguard’s air pressure is matched to the water around it.  It is this pressurization that makes the habitat so useful. Scuba divers working at its maximum operational depth of 50 meters would typically need to make a lengthy stop on their way back to the surface to avoid decompression sickness. This painful and potentially fatal condition, better known as the bends, develops if divers surface too quickly. A traditional 50-meter dive gives scuba divers only a handful of minutes on the seafloor, and they can make only a couple of such dives a day. With Vanguard’s atmosphere at the same pressure as the water, its aquanauts need to decompress only once, at the end of their stay. They can potentially dive for many hours every day. That could unlock all kinds of new science and exploration. “More time in the ocean opens a world of possibility, accelerating discoveries, inspiration, solutions,” said Kristen Tertoole, Deep’s chief operating officer, at Vanguard’s unveiling in Miami in October. “The ocean is Earth’s life support system. It regulates our climate, sustains life, and holds mysteries we’ve only begun to explore, but it remains 95% undiscovered.” COURTESY DEEP Subsea habitats are not a new invention. Jacques Cousteau (naturally) built the first in 1962, although it was only about the size of an elevator. Larger habitats followed in the 1970s and ’80s, maxing out at around the size of Vanguard. But the technology has come a long way since then. Vanguard uses a tethered connection to a buoy above, known as the “surface expression,” that pipes fresh air and water down to the habitat. It also hosts a diesel generator to power a Starlink internet connection and a tank to hold wastewater. Norman Smith, Deep’s chief technology officer, says the company modeled the most severe hurricanes that Florida expects over the next 20 years and designed the tether to withstand them. Even if the worst happens and the link is broken, Deep says, Vanguard has enough air, water, and energy storage to support its crew for at least 72 hours. That number came from DNV, an independent classification agency that inspects and certifies all types of marine vessels so that they can get commercial insurance. Vanguard will be the first subsea habitat to get a DNV classification. “That means you have to deal with the rules and all the challenging, frustrating things that come along with it, but it means that on a foundational level, it’s going to be safe,” says Patrick Lahey, founder of Triton Submarines, a manufacturer of classed submersibles. JASON KOERNER/GETTY IMAGES FOR DEEP Although Deep hopes Vanguard itself will enable decades of useful science, its prime function for the company is to prove out technologies for its planned successor, an advanced modular habitat called Sentinel. Sentinel modules will be six meters wide, twice the diameter of Vanguard, complete with sweeping staircases and single-occupant cabins. A small deployment might have a crew of eight, about the same as the International Space Station. A big Sentinel system could house 50, up to 225 meters deep. Deep claims that Sentinel will be launched at some point in 2027. Ultimately, according to its mission statement, Deep seeks to “make humans aquatic,” an indication that permanent communities are on its long-term road map.  Deep has not publicly disclosed the identity of its principal funder, but business records in the UK indicate that as of January 31, 2025 a Canadian man, Robert MacGregor, owned at least 75% of its holding company. According to a Reuters investigation, MacGregor was once linked with Craig Steven Wright, a computer scientist who claimed to be Satoshi Nakamoto, as bitcoin’s elusive creator is pseudonymously known. However, Wright’s claims to be Nakamoto later collapsed.  MacGregor has kept a very low public profile in recent years. When contacted for comment, Deep spokesperson Mike Bohan refused to comment on the link with Wright, only to say it was inaccurate, but said: “Robert MacGregor started his career as an IP lawyer in the dot-com era, moving into blockchain technology and has diverse interests including philanthropy, real estate, and now Deep.” In any case, MacGregor could find keeping that low profile more difficult if Vanguard is successful in reinvigorating ocean science and exploration as the company hopes. The habitat is due to be deployed early next year, following final operational tests at Triton’s facility in Florida. It will welcome its first scientists shortly after.  “The ocean is not just our resource; it is our responsibility,” says Tertoole. “Deep is more than a single habitat. We are building a full-stack capability for human presence in the ocean.” JASON KOERNER/GETTY IMAGES FOR DEEP

Vanguard feels and smells like a new RV. It has long, gray banquettes that convert into bunks, a microwave cleverly hidden under a counter, a functional steel sink with a French press and crockery above. A weird little toilet hides behind a curtain.

But some clues hint that you can’t just fire up Vanguard’s engine and roll off the lot. The least subtle is its door, a massive disc of steel complete with a wheel that spins to lock.

Vanguard subsea human habitat from the outside door.

COURTESY MARK HARRIS

Once it is sealed and moved to its permanent home beneath the waves of the Florida Keys National Marine Sanctuary early next year, Vanguard will be the world’s first new subsea habitat in nearly four decades. Teams of four scientists will live and work on the seabed for a week at a time, entering and leaving the habitat as scuba divers. Their missions could include reef restoration, species surveys, underwater archaeology, or even astronaut training. 

One of Vanguard’s modules, unappetizingly named the “wet porch,” has a permanent opening in the floor (a.k.a. a “moon pool”) that doesn’t flood because Vanguard’s air pressure is matched to the water around it. 

It is this pressurization that makes the habitat so useful. Scuba divers working at its maximum operational depth of 50 meters would typically need to make a lengthy stop on their way back to the surface to avoid decompression sickness. This painful and potentially fatal condition, better known as the bends, develops if divers surface too quickly. A traditional 50-meter dive gives scuba divers only a handful of minutes on the seafloor, and they can make only a couple of such dives a day. With Vanguard’s atmosphere at the same pressure as the water, its aquanauts need to decompress only once, at the end of their stay. They can potentially dive for many hours every day.

That could unlock all kinds of new science and exploration. “More time in the ocean opens a world of possibility, accelerating discoveries, inspiration, solutions,” said Kristen Tertoole, Deep’s chief operating officer, at Vanguard’s unveiling in Miami in October. “The ocean is Earth’s life support system. It regulates our climate, sustains life, and holds mysteries we’ve only begun to explore, but it remains 95% undiscovered.”

Vanguard subsea human habitat unveiled in Miami

COURTESY DEEP

Subsea habitats are not a new invention. Jacques Cousteau (naturally) built the first in 1962, although it was only about the size of an elevator. Larger habitats followed in the 1970s and ’80s, maxing out at around the size of Vanguard.

But the technology has come a long way since then. Vanguard uses a tethered connection to a buoy above, known as the “surface expression,” that pipes fresh air and water down to the habitat. It also hosts a diesel generator to power a Starlink internet connection and a tank to hold wastewater. Norman Smith, Deep’s chief technology officer, says the company modeled the most severe hurricanes that Florida expects over the next 20 years and designed the tether to withstand them. Even if the worst happens and the link is broken, Deep says, Vanguard has enough air, water, and energy storage to support its crew for at least 72 hours.

That number came from DNV, an independent classification agency that inspects and certifies all types of marine vessels so that they can get commercial insurance. Vanguard will be the first subsea habitat to get a DNV classification. “That means you have to deal with the rules and all the challenging, frustrating things that come along with it, but it means that on a foundational level, it’s going to be safe,” says Patrick Lahey, founder of Triton Submarines, a manufacturer of classed submersibles.

An interior view of Vanguard during Life Under The Sea: Ocean Engineering and Technology Company DEEP's unveiling of Vanguard, its pilot subsea human habitat at The Hangar at Regatta Harbour on October 29, 2025 in Miami, Florida.

JASON KOERNER/GETTY IMAGES FOR DEEP

Although Deep hopes Vanguard itself will enable decades of useful science, its prime function for the company is to prove out technologies for its planned successor, an advanced modular habitat called Sentinel. Sentinel modules will be six meters wide, twice the diameter of Vanguard, complete with sweeping staircases and single-occupant cabins. A small deployment might have a crew of eight, about the same as the International Space Station. A big Sentinel system could house 50, up to 225 meters deep. Deep claims that Sentinel will be launched at some point in 2027.

Ultimately, according to its mission statement, Deep seeks to “make humans aquatic,” an indication that permanent communities are on its long-term road map. 

Deep has not publicly disclosed the identity of its principal funder, but business records in the UK indicate that as of January 31, 2025 a Canadian man, Robert MacGregor, owned at least 75% of its holding company. According to a Reuters investigation, MacGregor was once linked with Craig Steven Wright, a computer scientist who claimed to be Satoshi Nakamoto, as bitcoin’s elusive creator is pseudonymously known. However, Wright’s claims to be Nakamoto later collapsed. 

MacGregor has kept a very low public profile in recent years. When contacted for comment, Deep spokesperson Mike Bohan refused to comment on the link with Wright, only to say it was inaccurate, but said: “Robert MacGregor started his career as an IP lawyer in the dot-com era, moving into blockchain technology and has diverse interests including philanthropy, real estate, and now Deep.”

In any case, MacGregor could find keeping that low profile more difficult if Vanguard is successful in reinvigorating ocean science and exploration as the company hopes. The habitat is due to be deployed early next year, following final operational tests at Triton’s facility in Florida. It will welcome its first scientists shortly after. 

“The ocean is not just our resource; it is our responsibility,” says Tertoole. “Deep is more than a single habitat. We are building a full-stack capability for human presence in the ocean.”

An interior view of Vanguard during Life Under The Sea: Ocean Engineering and Technology Company DEEP's unveiling of Vanguard, its pilot subsea human habitat at The Hangar at Regatta Harbour on October 29, 2025 in Miami, Florida. (

JASON KOERNER/GETTY IMAGES FOR DEEP
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Practical quantum computers are over a decade away, says NEC

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Huawei aims to deliver faster AI chips, faster

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Energy Secretary Secures Carolinas’ Grid Amidst Hot Weather Conditions

WASHINGTON—The U.S. Department of Energy (DOE) issued an emergency order to mitigate the risk of blackouts in the Carolinas amid hot weather conditions. Issued pursuant to Section 202(c) of the Federal Power Act, the order authorizes Duke Energy Carolinas, LLC (Duke) to dispatch specified resources and to order their operation as needed to maintain reliability. The order also authorizes Duke, in collaboration with its Transmission Owners, to direct backup generation resources to operate as a last resort before declaring an Energy Emergency Alert (EEA) 3 or during an EEA 3. This order was issued pursuant to an application from Duke submitted on September 18, 2026. “Today’s order will help secure reliable electricity access for millions of American families and businesses across North and South Carolina by making additional power generation, including backup power, available to use as needed,” said U.S. Secretary of Energy Chris Wright. “It should come as no surprise that during the end of summer and early fall, there are fewer hours of daylight—and therefore, less power generation from solar power. The North American Electric Reliability Corporation and others have warned of the potential dangers late summer temperature spikes can pose to the grid when leaders prematurely retire reliable power sources. While past leaders’ energy subtraction policies have made the grid more vulnerable to blackouts when the sun doesn’t shine or the wind doesn’t blow, this administration remains committed to using every available tool to prevent blackouts.”  DOE estimates more than 35 GW of unused backup generation remains available nationwide.  The order is in effect upon issuance on September 18, 2026, through September 21, 2026. 

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Enbridge launches open season for West Texas Express natural gas pipeline

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Editorial: Let’s make a deal

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US sanctions bill targets Russian energy but gives Trump broad discretion

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California Resources unloads Uinta assets

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Local AI is getting small enough to make every app multilingual

On-device translation used to mean a separate model for every language you wanted to support. English to French, English to German, and so on. However, that becomes unsustainable at a global scale when you’re talking about thousands of possible language pairs. Add to that the fact that most developers have to either send translation requests to the cloud to get fast, accurate results, or keep it local with restricted language support. Tether’s AI Research team has developed a family of multilingual translation models, TranslatePsy-EuroNano, that each support nine European languages, with deployment built around a pair of multilingual models rather than separate bilingual models for every language pair. What makes this possible Supporting a full European market on-device has previously meant bundling dozens of separate model files, but this is impractical for mobile apps and those building them. Tether AI’s multilingual open‑source edge translation models set the standard for efficiency, quality, and speed. For developers, the possibilities are endless. Using English as a pivot, the models remain comparable to Mozilla Firefox’s Bergamot-based translation system while dramatically reducing the size of on-device translation. At its smallest tier, Tether’s deployment is 17.6 times smaller while maintaining comparable translation quality. Tether’s deployment takes up 36MB to 89MB, depending on the tier you use. By comparison, the equivalent Firefox setup requires 18 separate bilingual models totaling 633MB to provide the same language coverage. The models are small enough to run efficiently on edge devices while supporting nine European languages from a single multilingual deployment, making multilingual experiences practical for a much wider range of software. Potential applications include travel and navigation apps, educational platforms that present lessons and resources on-device. The models are also designed for academics and researchers. Because the weights are openly available, researchers can fine-tune them for specialized domains, like customer

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AI Infrastructure Is Redrawing the Data Center Services Landscape

For gigawatt-scale AI developments, the developer may be involved with substations, transmission interconnections, generation plants, batteries or other behind-the-meter infrastructure long before servers arrive. Solaris now describes its overall portfolio as including generation, distribution, installation and commissioning, aftermarket support, and operations and maintenance. The arrival of companies with roots in energy and heavy industrial services suggests that the data center supplier base itself is changing as projects begin to resemble large industrial infrastructure developments. The Pattern Extends Across the Services Stack The transactions involving T5, Limbach, JK Technology Services and Solaris are hardly isolated. A wider wave of acquisitions and partnerships is pushing equipment manufacturers, contractors, engineering firms and specialist service providers toward broader roles across the data center lifecycle. Vertiv provided perhaps the clearest parallel in September, announcing an agreement to acquire UtilityInnovation Group for approximately $1.45 billion in cash, with additional consideration tied to performance. UIG brings microgrid controls, onsite-generation orchestration, specialized switchgear and behind-the-meter power architecture. The deal also extends a broader 2026 acquisition push by Vertiv that has added liquid-cooling specialist Strategic Thermal Labs, chiller manufacturer ThermoKey and prefabricated infrastructure provider Bmarko as the company builds out more of the AI data center infrastructure stack. Vertiv described the move as extending its portfolio upstream from the critical power and cooling systems inside the facility toward the grid interconnection and onsite generation itself — effectively creating a path from power source to chip. Days later, Flex announced a $4.4 billion agreement to acquire EPC Power, adding grid-forming and power-conversion technology designed for data centers, utility-scale energy storage and microgrids. EPC Power’s platform includes rectifiers and DC-DC conversion for emerging 800-volt data center architectures, with solid-state transformer development also planned. The company says it has more than 15 GW deployed across 62 countries and expects its annual U.S.

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From Announcements to Delivery: What Separates Real AI Data Center Projects From the Rest

The AI infrastructure market has become very good at announcing gigawatts. Delivering them is another matter. That distinction framed one of the closing sessions of Day 1 at the Data Center Frontier Trends Summit 2026 (Aug. 4-6), where Sean Farney, vice president of data center strategy at JLL and a member of the Data Center Frontier Editorial Advisory Board, moderated a discussion on why some AI data center projects advance from concept to construction while others remain little more than ambitious site plans. Farney was joined by Lawrence Vo, vice president of M&A and capex at Csquare; John Day, chief commercial officer at CleanArc Data Centers; Justin Loth, executive director of power development at Provident Data Centers; and Roshan Shah, co-founder and CEO of Decimal Digital. The question Farney put before the group was straightforward: amid a market moving at what he called “the speed of light,” what separates the developers that actually get projects done from those that do not? The answers repeatedly came back to the same point. In the current market, land, capital and an announcement are no longer enough. Developers have to prove that power is deliverable, infrastructure is ready, regulatory processes are moving, communities are receptive, talent is available and the commercial model can withstand changing conditions. A Gigawatt on Paper Is Not a Gigawatt of Capacity For Loth, who spent roughly 15 years on the utility side before joining Provident, the scale of current data center proposals alone should force the industry to think differently about what constitutes a credible project. Before the hyperscale and AI expansion, he noted, gigawatts were a measure more commonly associated with cities than individual loads. “A 3.5 gigawatt campus,” Loth said, is roughly equivalent to the native load of Austin or San Antonio. That scale makes the distinction

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The Future of Data Centers: Biomimicry and Community-Centric Design

As a result, Microsoft has said six additional data centers planned in the region are being designed around biomimicry principles rather than treating landscaping as something added after the engineering work is finished. The change, from landscaping as decoration to ecology as a design input, is now being applied elsewhere. There is already a significant US example, set in Mecklenburg County, Virginia, where Microsoft originally announced the Chase City Conservancy in 2022, as part of a data center development south of Chase City. The completed project, which opened in April 2025, protects more than 230 acres from development. It includes more than eight acres of wetlands, over 16,300 linear feet of restored streams, 185 acres of native pollinator habitat, more than 25,000 planted trees and over three miles of publicly accessible walking trails. Local environmental organizations helped shift the design away from what the company describes as a more conventional recreational area toward biodiversity and habitat conservation illustrating the community-engagement side of Microsoft’s model, which, given the current temperature of such relationships, can’t be understated. For data center developers, that may be as important as the ecological results. Community impact is no longer being evaluated on just tax revenue and jobs. Turning portions of a site into protected wetlands, forests, trails or habitat potentially creates a visible local benefit in ways that renewable-energy contracts hundreds of miles away cannot. Microsoft’s commitment to the local community has been led by their Community First AI Infrastructure Plan announced in January 2026. Wetlands in Wisconsin, Screening in Georgia At Microsoft’s massive Mount Pleasant, Wisconsin, AI data center development, the company is working with the Root-Pike Watershed Initiative Network on restoration projects involving wetlands, native prairie and forested riparian buffers. One element involves returning previously straightened streams to more natural, winding channels, improving aquatic

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Axelera Europa targets enterprise data centers with far more efficient AI

Software is still the gatekeeper Axelera In terms of software enablement, Axelera’s Voyager SDK spans its existing Metis products and the new Europa architecture, providing a common environment across embedded, edge and server deployments, with support for a multitude of computer vision models, LLMs, VLMs, diffusion models, speech and other AI workloads. To automate setup, Axelera’s Voyager Wingman uses natural-language prompts to help developers create or port inference pipelines, while AxeleraScript, or AxScript, provides a Python-enabled domain-specific language with lower-level AIPU control for custom operators and transformer models. This could prove every bit as important as Europa’s performance and efficiency. Enterprises already have models, development environments and application stacks. Extensive rewriting or specialized expertise adds development and operational costs that can quickly undermine savings on hardware and power.

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Scott Bergs, CEO of Kirkwood IG: Fiber and the AI Data Center Buildout

For years, fiber was one of the more forgiving elements of data center site selection. Developers could secure land, line up power, begin planning the facility and then work with carriers to establish the connectivity required by tenants. In a traditional multi-tenant data center, that model generally worked. At AI scale, Scott Bergs says it increasingly does not. “The architecture of those original communications service provider networks just don’t meet the latency and/or capacity needs” of today’s high-density compute environments, said Bergs, CEO of Kirkwood Infrastructure Group, during a recent episode of the Data Center Frontier Show. The result is a significant change in the data center development stack: network infrastructure can no longer be treated as something that gets solved after the site is chosen. For hyperscalers and neo-cloud providers, fiber route diversity, latency, physical security and future capacity increasingly need to enter the conversation alongside power and land. And as data center campuses follow available power farther from established digital infrastructure hubs, the scale of the network challenge is expanding with them. A connection between data center campuses that might once have extended two or 30 miles can now stretch 250 miles or more, Bergs said. What would traditionally have been considered a long-haul fiber route is increasingly becoming another piece of inter-campus infrastructure. That change is helping drive Kirkwood’s own expansion. From DF&I to Kirkwood Bergs previously led DF&I, a dark-fiber infrastructure platform concentrated in Northern Virginia and Maryland. Kirkwood Infrastructure Group is not simply DF&I under a new name, he said. Rather, it represents what Bergs described as a second phase in a broader infrastructure investment strategy developed originally through IPI Partners. IPI, an investment platform focused on digital infrastructure, backed DF&I after identifying communications infrastructure serving dense compute environments as an area requiring greater direct

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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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