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How a 30-year-old techno-thriller predicted our digital isolation

In April, Mark Zuckerberg, as tech billionaires are so fond of doing these days, pontificated at punishing length on a podcast. In the interview, he addressed America’s loneliness epidemic: “The average American has—I think it’s fewer than three friends. And the average person has demand for meaningfully more. I think it’s like 15 friends or something, right?” Before you’ve had a moment to register the ominous way in which he frames human connection in such bleak economic terms, he offers his solution to the loneliness epidemic: AI friends. Ideally AI friends his company generates. “It’s like I’m not even me anymore.”—Angela Bennett, The Net (1995) Thirty years ago, Irwin Winkler’s proto–cyber thriller, The Net, was released. It was 1995, commonly regarded as the year Hollywood discovered the internet. Sandra Bullock played a social recluse and computer nerd for hire named Angela Bennett, who unwittingly uncovers a sinister computer security conspiracy. She soon finds her life turned upside down as the conspiracists begin systematically destroying her credibility and reputation. Her job, home, finances, and very identity are seemingly erased with some judicial tweaks to key computer records. Bennett is uniquely—conveniently, perhaps—well positioned for this identity annihilation. Her mother, in the throes of dementia, no longer recognizes her; she works from home for clients who have never met her; her social circle is limited to an online chat room; she orders takeout from Pizza.net; her neighbors don’t even know what she looks like. Her most reliable companion is the screen in front of her. A wild, unimaginable scenario that I’m sure none of us can relate to. “Just think about it. Our whole world is sitting there on a computer. It’s in the computer, everything: your DMV records, your Social Security, your credit cards, your medical records. It’s all right there. Everyone is stored in there. It’s like this little electronic shadow on each and every one of us, just begging for someone to screw with, and you know what? They’ve done it to me, and you know what? They’re gonna do it to you.”—Angela Bennett, The Net While the villain of The Net is ultimately a nefarious cybersecurity software company, the film’s preoccupying fear is much more fundamental: If all of our data is digitized, what happens if the people with access to that information tamper with it? Or weaponize it against us?  This period of Hollywood’s flirtation with the internet is often referred to as the era of the technophobic thriller, but that’s a surface-level misreading. Techno-skeptic might be more accurate. These films were broadly positive and excited about new technology; it almost always played a role in how the hero saved the day. Their bigger concern was with the humans who had ultimate control of these tools, and what oversight and restrictions we should place on them. In 2025, however, the most prescient part of The Net is Angela Bennett’s digital alienation. What was originally a series of plausible enough contrivances to make the theft of her identity more believable is now just part of our everyday lives. We all bank, shop, eat, work, and socialize without necessarily seeing another human being in person. And we’ve all been through covid lockdowns where that isolation was actively encouraged. For a whole generation of young people who lived through that, socializing face to face is not second nature. In 2023, the World Health Organization declared loneliness to be a pressing global health threat, estimating that one in four older adults experience social isolation and between 5% and 15% of adolescents experience loneliness. In the US, social isolation may threaten public health more seriously than obesity.  The Net appeared at a time when the internet was only faintly understood as the new Wild West … In that sense, it remains a fascinating time capsule of a moment when the possibilities to come felt endless, the outlook cautiously optimistic. We also spend increasing amounts of time looking at our phones, where finely tuned algorithms aggressively lobby for more and more of our ad-revenue-­generating attention. As Bennett warns: “Our whole lives are on the computer, and they knew that I could be vanished. They knew that nobody would care, that nobody would understand.” In this sense, in 2025 we are all Angela Bennett. As Bennett’s digital alienation makes her more vulnerable to pernicious actors, so too are we increasingly at risk from those who don’t have, and have never had, our best interests at heart.  To blame technology entirely for a rise in loneliness—as many policymakers are doing—would be a mistake. While it is unquestionably playing a part in exacerbating the problem, its outsize role in our lives has always reflected larger underlying factors. In Multitudes: How Crowds Made the Modern World (2024), the journalist Dan Hancox examines the ways in which crowds have been demonized and othered by those in power and suggests that our alienation is much more structural: “Whether through government cuts or concessions to the expansive ambitions of private enterprise, a key reason we have all become a bit more crowd-shy in recent decades is the prolonged, top-down assault on public space and the wider public realm—what are sometimes called the urban commons. From properly funded libraries to pleasant, open parks and squares, free or affordable sports and leisure facilities, safe, accessible and cheap public transport, comfortable street furniture and free public toilets, and a vibrant, varied, uncommodified social and cultural life—all the best things about city life fall under the heading of the public realm, and all of them facilitate and support happy crowds rather than sad, alienated, stay-at-home loners.” Nearly half a century ago Margaret Thatcher laid out the neoliberal consensus that would frame the next decades of individualism: “There’s no such thing as society. There are individual men and women and there are families. And no government can do anything except through people, and people must look after themselves first.”  TOM HUMBERSTONE In keeping with that philosophy, social connectivity has been outsourced to tech companies for which the attention economy is paramount. “The Algo” is our new, capricious god. If your livelihood depends on engagement, the temptation is to stop thinking about human connection when you post, and to think more about what will satisfy The Algo to ensure a good harvest.  How much will you trust an AI chatbot powered by Meta to be your friend? Answers to this may vary. Even if you won’t, other people are already making close connections with “AI companions” or “falling in love” with ChatGPT. The rise of “cognitive offloading”—of people asking AI to do their critical thinking for them—is already well underway, with many high school and college students admitting to a deep reliance on the technology.  Beyond the obvious concern that AI “friends” are hallucinating, unthinking, obsequious algorithms that will never challenge you in the way a real friend might, it’s also worth remembering who AI actually works for. Recently Elon Musk’s own AI chatbot, Grok, was given new edicts that caused it to cast doubt on the Holocaust and talk about “white genocide” in response to unrelated prompts—a reminder, if we needed it, that these systems are never neutral, never apolitical, and always at the command of those with their hands on the code.  I’m fairly lucky. I live with my partner and have a decent community of friends. But I work from home and can spend the majority of the day not talking to anyone. I’m not immune to feeling isolated, anxious, and powerless as I stare unblinking at my news feed. I think we all feel it. We are all Angela Bennett. Weaponizing that alienation, as the antagonists of The Net do, can of course be used for identity theft. But it can also have much more deleterious applications: Our loneliness can be manipulated to make us consume more, work longer, turn against ourselves and each other. AI “friendships,” if engaged with uncritically, are only going to supercharge this disaffection and the ways in which it can be abused. It doesn’t have to be this way. We can withhold our attention, practice healthier screen routines, limit our exposure to doomscrolling, refuse to engage with energy-guzzling AI, delete our accounts. But, crucially, we can also organize collectively IRL: join a union or a local club, ask our friends if they need to talk. Hopelessness is what those in power want us to feel, so resist it. The Net appeared at a time when the internet was only faintly understood as the new Wild West. Before the dot-com boom and bust, before Web 2.0, before the walled gardens and the theory of a “dead internet.” In that sense, it remains a fascinating time capsule of a moment when the possibilities to come felt endless, the outlook cautiously optimistic. We can also see The Net’s influence in modern screen-life films like Searching, Host, Unfriended, and The Den. But perhaps—hopefully—its most enduring legacy will be inviting us to go outside, touch grass, talk to another human being, and organize.  “Find the others.”—Douglas Rushkoff, Team Human (2019) Tom Humberstone is a comic artist and illustrator based in Edinburgh.

In April, Mark Zuckerberg, as tech billionaires are so fond of doing these days, pontificated at punishing length on a podcast. In the interview, he addressed America’s loneliness epidemic: “The average American has—I think it’s fewer than three friends. And the average person has demand for meaningfully more. I think it’s like 15 friends or something, right?”

Before you’ve had a moment to register the ominous way in which he frames human connection in such bleak economic terms, he offers his solution to the loneliness epidemic: AI friends. Ideally AI friends his company generates.


“It’s like I’m not even me anymore.”
—Angela Bennett, The Net (1995)


Thirty years ago, Irwin Winkler’s proto–cyber thriller, The Net, was released. It was 1995, commonly regarded as the year Hollywood discovered the internet. Sandra Bullock played a social recluse and computer nerd for hire named Angela Bennett, who unwittingly uncovers a sinister computer security conspiracy. She soon finds her life turned upside down as the conspiracists begin systematically destroying her credibility and reputation. Her job, home, finances, and very identity are seemingly erased with some judicial tweaks to key computer records.

Bennett is uniquely—conveniently, perhaps—well positioned for this identity annihilation. Her mother, in the throes of dementia, no longer recognizes her; she works from home for clients who have never met her; her social circle is limited to an online chat room; she orders takeout from Pizza.net; her neighbors don’t even know what she looks like. Her most reliable companion is the screen in front of her. A wild, unimaginable scenario that I’m sure none of us can relate to.


“Just think about it. Our whole world is sitting there on a computer. It’s in the computer, everything: your DMV records, your Social Security, your credit cards, your medical records. It’s all right there. Everyone is stored in there. It’s like this little electronic shadow on each and every one of us, just begging for someone to screw with, and you know what? They’ve done it to me, and you know what? They’re gonna do it to you.”
—Angela Bennett, The Net


While the villain of The Net is ultimately a nefarious cybersecurity software company, the film’s preoccupying fear is much more fundamental: If all of our data is digitized, what happens if the people with access to that information tamper with it? Or weaponize it against us? 

This period of Hollywood’s flirtation with the internet is often referred to as the era of the technophobic thriller, but that’s a surface-level misreading. Techno-skeptic might be more accurate. These films were broadly positive and excited about new technology; it almost always played a role in how the hero saved the day. Their bigger concern was with the humans who had ultimate control of these tools, and what oversight and restrictions we should place on them.

In 2025, however, the most prescient part of The Net is Angela Bennett’s digital alienation. What was originally a series of plausible enough contrivances to make the theft of her identity more believable is now just part of our everyday lives. We all bank, shop, eat, work, and socialize without necessarily seeing another human being in person. And we’ve all been through covid lockdowns where that isolation was actively encouraged. For a whole generation of young people who lived through that, socializing face to face is not second nature. In 2023, the World Health Organization declared loneliness to be a pressing global health threat, estimating that one in four older adults experience social isolation and between 5% and 15% of adolescents experience loneliness. In the US, social isolation may threaten public health more seriously than obesity. 

The Net appeared at a time when the internet was only faintly understood as the new Wild West … In that sense, it remains a fascinating time capsule of a moment when the possibilities to come felt endless, the outlook cautiously optimistic.

We also spend increasing amounts of time looking at our phones, where finely tuned algorithms aggressively lobby for more and more of our ad-revenue-­generating attention. As Bennett warns: “Our whole lives are on the computer, and they knew that I could be vanished. They knew that nobody would care, that nobody would understand.” In this sense, in 2025 we are all Angela Bennett. As Bennett’s digital alienation makes her more vulnerable to pernicious actors, so too are we increasingly at risk from those who don’t have, and have never had, our best interests at heart. 

To blame technology entirely for a rise in loneliness—as many policymakers are doing—would be a mistake. While it is unquestionably playing a part in exacerbating the problem, its outsize role in our lives has always reflected larger underlying factors. In Multitudes: How Crowds Made the Modern World (2024), the journalist Dan Hancox examines the ways in which crowds have been demonized and othered by those in power and suggests that our alienation is much more structural: “Whether through government cuts or concessions to the expansive ambitions of private enterprise, a key reason we have all become a bit more crowd-shy in recent decades is the prolonged, top-down assault on public space and the wider public realm—what are sometimes called the urban commons. From properly funded libraries to pleasant, open parks and squares, free or affordable sports and leisure facilities, safe, accessible and cheap public transport, comfortable street furniture and free public toilets, and a vibrant, varied, uncommodified social and cultural life—all the best things about city life fall under the heading of the public realm, and all of them facilitate and support happy crowds rather than sad, alienated, stay-at-home loners.”

Nearly half a century ago Margaret Thatcher laid out the neoliberal consensus that would frame the next decades of individualism: “There’s no such thing as society. There are individual men and women and there are families. And no government can do anything except through people, and people must look after themselves first.” 

TOM HUMBERSTONE

In keeping with that philosophy, social connectivity has been outsourced to tech companies for which the attention economy is paramount. “The Algo” is our new, capricious god. If your livelihood depends on engagement, the temptation is to stop thinking about human connection when you post, and to think more about what will satisfy The Algo to ensure a good harvest. 

How much will you trust an AI chatbot powered by Meta to be your friend? Answers to this may vary. Even if you won’t, other people are already making close connections with “AI companions” or “falling in love” with ChatGPT. The rise of “cognitive offloading”—of people asking AI to do their critical thinking for them—is already well underway, with many high school and college students admitting to a deep reliance on the technology. 

Beyond the obvious concern that AI “friends” are hallucinating, unthinking, obsequious algorithms that will never challenge you in the way a real friend might, it’s also worth remembering who AI actually works for. Recently Elon Musk’s own AI chatbot, Grok, was given new edicts that caused it to cast doubt on the Holocaust and talk about “white genocide” in response to unrelated prompts—a reminder, if we needed it, that these systems are never neutral, never apolitical, and always at the command of those with their hands on the code. 

I’m fairly lucky. I live with my partner and have a decent community of friends. But I work from home and can spend the majority of the day not talking to anyone. I’m not immune to feeling isolated, anxious, and powerless as I stare unblinking at my news feed. I think we all feel it. We are all Angela Bennett. Weaponizing that alienation, as the antagonists of The Net do, can of course be used for identity theft. But it can also have much more deleterious applications: Our loneliness can be manipulated to make us consume more, work longer, turn against ourselves and each other. AI “friendships,” if engaged with uncritically, are only going to supercharge this disaffection and the ways in which it can be abused.

It doesn’t have to be this way. We can withhold our attention, practice healthier screen routines, limit our exposure to doomscrolling, refuse to engage with energy-guzzling AI, delete our accounts. But, crucially, we can also organize collectively IRL: join a union or a local club, ask our friends if they need to talk. Hopelessness is what those in power want us to feel, so resist it.

The Net appeared at a time when the internet was only faintly understood as the new Wild West. Before the dot-com boom and bust, before Web 2.0, before the walled gardens and the theory of a “dead internet.” In that sense, it remains a fascinating time capsule of a moment when the possibilities to come felt endless, the outlook cautiously optimistic.

We can also see The Net’s influence in modern screen-life films like Searching, Host, Unfriended, and The Den. But perhaps—hopefully—its most enduring legacy will be inviting us to go outside, touch grass, talk to another human being, and organize. 


“Find the others.”
—Douglas Rushkoff, Team Human (2019)


Tom Humberstone is a comic artist and illustrator based in Edinburgh.

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The Future of Hyperscale: Neoverse Joins NVLink Fusion as SC25 Accelerates Rack-Scale AI Architectures

Neoverse’s Expanding Footprint and the Power-Efficiency Imperative With Neoverse deployments now approaching roughly 50% of all compute shipped into top hyperscalers in 2025 (representing more than a billion Arm cores) and with nation-scale AI campuses such as the Stargate project already anchored on Arm compute, the addition of NVLink Fusion becomes a pivotal extension of the Neoverse roadmap. Partners can now connect custom Arm CPUs to their preferred NVIDIA accelerators across a coherent, high-bandwidth, rack-scale fabric. Arm characterized the shift as a generational inflection point in data-center architecture, noting that “power—not FLOPs—is the bottleneck,” and that future design priorities hinge on maximizing “intelligence per watt.” Ian Buck, vice president and general manager of accelerated computing at NVIDIA, underscored the practical impact: “Folks building their own Arm CPU, or using an Arm IP, can actually have access to NVLink Fusion—be able to connect that Arm CPU to an NVIDIA GPU or to the rest of the NVLink ecosystem—and that’s happening at the racks and scale-up infrastructure.” Despite the expanded design flexibility, this is not being positioned as an open interconnect ecosystem. NVIDIA continues to control the NVLink Fusion fabric, and all connections ultimately run through NVIDIA’s architecture. For data-center planners, the SC25 announcement translates into several concrete implications: 1.   NVIDIA “Grace-style” Racks Without Buying Grace With NVLink Fusion now baked into Neoverse, hyperscalers and sovereign operators can design their own Arm-based control-plane or pre-processing CPUs that attach coherently to NVIDIA GPU domains—such as NVL72 racks or HGX B200/B300 systems—without relying on Grace CPUs. A rack-level architecture might now resemble: Custom Neoverse SoC for ingest, orchestration, agent logic, and pre/post-processing NVLink Fusion fabric Blackwell GPU islands and/or NVLink-attached custom accelerators (Marvell, MediaTek, others) This decouples CPU choice from NVIDIA’s GPU roadmap while retaining the full NVLink fabric. In practice, it also opens

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Flex’s Integrated Data Center Bet: How a Manufacturing Giant Plans to Reshape AI-Scale Infrastructure

At this year’s OCP Global Summit, Flex made a declaration that resonated across the industry: the era of slow, bespoke data center construction is over. AI isn’t just stressing the grid or forcing new cooling techniques—it’s overwhelming the entire design-build process. To meet this moment, Flex introduced a globally manufactured, fully integrated data center platform aimed directly at multi-gigawatt AI campuses. The company claims it can cut deployment timelines by as much as 30 percent by shifting integration upstream into the factory and unifying power, cooling, compute, and lifecycle services into pre-engineered modules. This is not a repositioning on the margins. Flex is effectively asserting that the future hyperscale data center will be manufactured like a complex industrial system, not built like a construction project. On the latest episode of The Data Center Frontier Show, we spoke with Rob Campbell, President of Flex Communications, Enterprise & Cloud, and Chris Butler, President of Flex Power, about why Flex believes this new approach is not only viable but necessary in the age of AI. The discussion revealed a company leaning heavily on its global manufacturing footprint, its cross-industry experience, and its expanding cooling and power technology stack to redefine what deployment speed and integration can look like at scale. AI Has Broken the Old Data Center Model From the outset, Campbell and Butler made clear that Flex’s strategy is a response to a structural shift. AI workloads no longer allow power, cooling, and compute to evolve independently. Densities have jumped so quickly—and thermals have risen so sharply—that the white space, gray space, and power yard are now interdependent engineering challenges. Higher chip TDPs, liquid-cooled racks approaching one to two megawatts, and the need to assemble entire campuses in record time have revealed deep fragility in traditional workflows. As Butler put it, AI

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Data Center Jobs: Engineering, Construction, Commissioning, Sales, Field Service and Facility Tech Jobs Available in Major Data Center Hotspots

Each month Data Center Frontier, in partnership with Pkaza, posts some of the hottest data center career opportunities in the market. Here’s a look at some of the latest data center jobs posted on the Data Center Frontier jobs board, powered by Pkaza Critical Facilities Recruiting. Looking for Data Center Candidates? Check out Pkaza’s Active Candidate / Featured Candidate Hotlist Data Center Facility Technician (All Shifts Available) Impact, TX This position is also available in: Ashburn, VA; Abilene, TX; Needham, MA and New York, NY. Navy Nuke / Military Vets leaving service accepted!  This opportunity is working with a leading mission-critical data center provider. This firm provides data center solutions custom-fit to the requirements of their client’s mission-critical operational facilities. They provide reliability of mission-critical facilities for many of the world’s largest organizations facilities supporting enterprise clients, colo providers and hyperscale companies. This opportunity provides a career-growth minded role with exciting projects with leading-edge technology and innovation as well as competitive salaries and benefits. Electrical Commissioning Engineer Montvale, NJ This traveling position is also available in: New York, NY; White Plains, NY;  Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Hampton, GA; Fayetteville, GA; New Albany, OH; Cedar Rapids, IA; Phoenix, AZ; Salt Lake City, UT; Dallas, TX or Chicago, IL. *** ALSO looking for a LEAD EE and ME CxA Agents and CxA PMs. *** Our client is an engineering design and commissioning company that has a national footprint and specializes in MEP critical facilities design. They provide design, commissioning, consulting and management expertise in the critical facilities space. They have a mindset to provide reliability, energy efficiency, sustainable design and LEED expertise when providing these consulting services for enterprise, colocation and hyperscale companies. This career-growth minded opportunity offers exciting projects with leading-edge technology and innovation as well as competitive salaries and

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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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