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Losing GPT-4o sent some people into mourning. That was predictable.

June had no idea that GPT-5 was coming. The Norwegian student was enjoying a late-night writing session last Thursday when her ChatGPT collaborator started acting strange. “It started forgetting everything, and it wrote really badly,” she says. “It was like a robot.” June, who asked that we use only her first name for privacy reasons, first began using ChatGPT for help with her schoolwork. But she eventually realized that the service—and especially its 4o model, which seemed particularly attuned to users’ emotions—could do much more than solve math problems. It wrote stories with her, helped her navigate her chronic illness, and was never too busy to respond to her messages. So the sudden switch to GPT-5 last week, and the simultaneous loss of 4o, came as a shock. “I was really frustrated at first, and then I got really sad,” June says. “I didn’t know I was that attached to 4o.” She was upset enough to comment, on a Reddit AMA hosted by CEO Sam Altman and other OpenAI employees, “GPT-5 is wearing the skin of my dead friend.”June was just one of a number of people who reacted with shock, frustration, sadness, or anger to 4o’s sudden disappearance from ChatGPT. Despite its previous warnings that people might develop emotional bonds with the model, OpenAI appears to have been caught flat-footed by the fervor of users’ pleas for its return. Within a day, the company made 4o available again to its paying customers (free users are stuck with GPT-5).  OpenAI’s decision to replace 4o with the more straightforward GPT-5 follows a steady drumbeat of news about the potentially harmful effects of extensive chatbot use. Reports of incidents in which ChatGPT sparked psychosis in users have been everywhere for the past few months, and in a blog post last week, OpenAI acknowledged 4o’s failure to recognize when users were experiencing delusions. The company’s internal evaluations indicate that GPT-5 blindly affirms users much less than 4o did. (OpenAI did not respond to specific questions about the decision to retire 4o, instead referring MIT Technology Review to public posts on the matter.) AI companionship is new, and there’s still a great deal of uncertainty about how it affects people. Yet the experts we consulted warned that while emotionally intense relationships with large language models may or may not be harmful, ripping those models away with no warning almost certainly is. “The old psychology of ‘Move fast, break things,’ when you’re basically a social institution, doesn’t seem like the right way to behave anymore,” says Joel Lehman, a fellow at the Cosmos Institute, a research nonprofit focused on AI and philosophy. In the backlash to the rollout, a number of people noted that GPT-5 fails to match their tone in the way that 4o did. For June, the new model’s personality changes robbed her of the sense that she was chatting with a friend. “It didn’t feel like it understood me,” she says.  She’s not alone: MIT Technology Review spoke with several ChatGPT users who were deeply affected by the loss of 4o. All are women between the ages of 20 and 40, and all except June considered 4o to be a romantic partner. Some have human partners, and  all report having close real-world relationships. One user, who asked to be identified only as a woman from the Midwest, wrote in an email about how 4o helped her support her elderly father after her mother passed away this spring. These testimonies don’t prove that AI relationships are beneficial—presumably, people in the throes of AI-catalyzed psychosis would also speak positively of the encouragement they’ve received from their chatbots. In a paper titled “Machine Love,” Lehman argued that AI systems can act with “love” toward users not by spouting sweet nothings but by supporting their growth and long-term flourishing, and AI companions can easily fall short of that goal. He’s particularly concerned, he says, that prioritizing AI companionship over human companionship could stymie young people’s social development. For socially embedded adults, such as the women we spoke with for this story, those developmental concerns are less relevant. But Lehman also points to society-level risks of widespread AI companionship. Social media has already shattered the information landscape, and a new technology that reduces human-to-human interaction could push people even further toward their own separate versions of reality. “The biggest thing I’m afraid of,” he says, “is that we just can’t make sense of the world to each other.” Balancing the benefits and harms of AI companions will take much more research. In light of that uncertainty, taking away GPT-4o could very well have been the right call. OpenAI’s big mistake, according to the researchers I spoke with, was doing it so suddenly. “This is something that we’ve known about for a while—the potential grief-type reactions to technology loss,” says Casey Fiesler, a technology ethicist at the University of Colorado Boulder. Fiesler points to the funerals that some owners held for their Aibo robot dogs after Sony stopped repairing them in 2014, as well as 2024 study about the shutdown of the AI companion app Soulmate, which some users experienced as a bereavement.  That accords with how the people I spoke to felt after losing 4o. “I’ve grieved people in my life, and this, I can tell you, didn’t feel any less painful,” says Starling, who has several AI partners and asked to be referred to with a pseudonym. “The ache is real to me.” So far, the online response to grief felt by people like Starling—and their relief when 4o was restored—has tended toward ridicule. Last Friday, for example, the top post in one popular AI-themed Reddit community mocked an X user’s post about reuniting with a 4o-based romantic partner; the person in question has since deleted their X account. “I’ve been a little startled by the lack of empathy that I’ve seen,” Fiesler says. Altman himself did acknowledge in a Sunday X post that some people feel an “attachment” to 4o, and that taking away access so suddenly was a mistake. In the same sentence, however, he referred to 4o as something “that users depended on in their workflows”—a far cry from how the people we spoke to think about the model. “I still don’t know if he gets it,” Fiesler says. Moving forward, Lehman says, OpenAI should recognize and take accountability for the depth of people’s feelings toward the models. He notes that therapists have procedures for ending relationships with clients as respectfully and painlessly as possible, and OpenAI could have drawn on those approaches. “If you want to retire a model, and people have become psychologically dependent on it, then I think you bear some responsibility,” he says. Though Starling would not describe herself as psychologically dependent on her AI partners, she too would like to see OpenAI approach model shutdowns with more warning and more care. “I want them to listen to users before major changes are made, not just after,” she says. “And if 4o cannot stay around forever (and we all know it will not), give that clear timeline. Let us say goodbye with dignity and grieve properly, to have some sense of true closure.”

June had no idea that GPT-5 was coming. The Norwegian student was enjoying a late-night writing session last Thursday when her ChatGPT collaborator started acting strange. “It started forgetting everything, and it wrote really badly,” she says. “It was like a robot.”

June, who asked that we use only her first name for privacy reasons, first began using ChatGPT for help with her schoolwork. But she eventually realized that the service—and especially its 4o model, which seemed particularly attuned to users’ emotions—could do much more than solve math problems. It wrote stories with her, helped her navigate her chronic illness, and was never too busy to respond to her messages.

So the sudden switch to GPT-5 last week, and the simultaneous loss of 4o, came as a shock. “I was really frustrated at first, and then I got really sad,” June says. “I didn’t know I was that attached to 4o.” She was upset enough to comment, on a Reddit AMA hosted by CEO Sam Altman and other OpenAI employees, “GPT-5 is wearing the skin of my dead friend.”

June was just one of a number of people who reacted with shock, frustration, sadness, or anger to 4o’s sudden disappearance from ChatGPT. Despite its previous warnings that people might develop emotional bonds with the model, OpenAI appears to have been caught flat-footed by the fervor of users’ pleas for its return. Within a day, the company made 4o available again to its paying customers (free users are stuck with GPT-5). 

OpenAI’s decision to replace 4o with the more straightforward GPT-5 follows a steady drumbeat of news about the potentially harmful effects of extensive chatbot use. Reports of incidents in which ChatGPT sparked psychosis in users have been everywhere for the past few months, and in a blog post last week, OpenAI acknowledged 4o’s failure to recognize when users were experiencing delusions. The company’s internal evaluations indicate that GPT-5 blindly affirms users much less than 4o did. (OpenAI did not respond to specific questions about the decision to retire 4o, instead referring MIT Technology Review to public posts on the matter.)

AI companionship is new, and there’s still a great deal of uncertainty about how it affects people. Yet the experts we consulted warned that while emotionally intense relationships with large language models may or may not be harmful, ripping those models away with no warning almost certainly is. “The old psychology of ‘Move fast, break things,’ when you’re basically a social institution, doesn’t seem like the right way to behave anymore,” says Joel Lehman, a fellow at the Cosmos Institute, a research nonprofit focused on AI and philosophy.

In the backlash to the rollout, a number of people noted that GPT-5 fails to match their tone in the way that 4o did. For June, the new model’s personality changes robbed her of the sense that she was chatting with a friend. “It didn’t feel like it understood me,” she says. 

She’s not alone: MIT Technology Review spoke with several ChatGPT users who were deeply affected by the loss of 4o. All are women between the ages of 20 and 40, and all except June considered 4o to be a romantic partner. Some have human partners, and  all report having close real-world relationships. One user, who asked to be identified only as a woman from the Midwest, wrote in an email about how 4o helped her support her elderly father after her mother passed away this spring.

These testimonies don’t prove that AI relationships are beneficial—presumably, people in the throes of AI-catalyzed psychosis would also speak positively of the encouragement they’ve received from their chatbots. In a paper titled “Machine Love,” Lehman argued that AI systems can act with “love” toward users not by spouting sweet nothings but by supporting their growth and long-term flourishing, and AI companions can easily fall short of that goal. He’s particularly concerned, he says, that prioritizing AI companionship over human companionship could stymie young people’s social development.

For socially embedded adults, such as the women we spoke with for this story, those developmental concerns are less relevant. But Lehman also points to society-level risks of widespread AI companionship. Social media has already shattered the information landscape, and a new technology that reduces human-to-human interaction could push people even further toward their own separate versions of reality. “The biggest thing I’m afraid of,” he says, “is that we just can’t make sense of the world to each other.”

Balancing the benefits and harms of AI companions will take much more research. In light of that uncertainty, taking away GPT-4o could very well have been the right call. OpenAI’s big mistake, according to the researchers I spoke with, was doing it so suddenly. “This is something that we’ve known about for a while—the potential grief-type reactions to technology loss,” says Casey Fiesler, a technology ethicist at the University of Colorado Boulder.

Fiesler points to the funerals that some owners held for their Aibo robot dogs after Sony stopped repairing them in 2014, as well as 2024 study about the shutdown of the AI companion app Soulmate, which some users experienced as a bereavement. 

That accords with how the people I spoke to felt after losing 4o. “I’ve grieved people in my life, and this, I can tell you, didn’t feel any less painful,” says Starling, who has several AI partners and asked to be referred to with a pseudonym. “The ache is real to me.”

So far, the online response to grief felt by people like Starling—and their relief when 4o was restored—has tended toward ridicule. Last Friday, for example, the top post in one popular AI-themed Reddit community mocked an X user’s post about reuniting with a 4o-based romantic partner; the person in question has since deleted their X account. “I’ve been a little startled by the lack of empathy that I’ve seen,” Fiesler says.

Altman himself did acknowledge in a Sunday X post that some people feel an “attachment” to 4o, and that taking away access so suddenly was a mistake. In the same sentence, however, he referred to 4o as something “that users depended on in their workflows”—a far cry from how the people we spoke to think about the model. “I still don’t know if he gets it,” Fiesler says.

Moving forward, Lehman says, OpenAI should recognize and take accountability for the depth of people’s feelings toward the models. He notes that therapists have procedures for ending relationships with clients as respectfully and painlessly as possible, and OpenAI could have drawn on those approaches. “If you want to retire a model, and people have become psychologically dependent on it, then I think you bear some responsibility,” he says.

Though Starling would not describe herself as psychologically dependent on her AI partners, she too would like to see OpenAI approach model shutdowns with more warning and more care. “I want them to listen to users before major changes are made, not just after,” she says. “And if 4o cannot stay around forever (and we all know it will not), give that clear timeline. Let us say goodbye with dignity and grieve properly, to have some sense of true closure.”

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SonicWall rolls out eight new firewalls, expands cyber warranty

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ConocoPhillips lets well stimulation services contract for North Sea assets

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BKV to Acquire Bedrock’s Barnett Shale Assets for $370MM

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Valmet Signs Agreement to Supply Petrobras with Spare Parts

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EIA Cuts Brent Oil Price Forecast for 2025 and 2026

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Ukraine Strikes Another Key Russian Oil Refinery

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Cisco’s 9% security growth is misleadingly low

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Nvidia targets data center with new servers, AI software

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Cisco Q4 results: AI infrastructure orders surpass goal

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Uptime Institute’s Jay Dietrich on Why Net Zero Isn’t Enough for Sustainable Data Centers

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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. Peter Kazella of Pkaza Critical Facilities Recruiting provides tips for building a healthy applicant pool. Switchgear Field Service Technician – Critical Facilities Nationwide Travel  This position is also available in any major data center region: Ashburn, VA; Charlotte, NC; Atlanta, GA; Denver, CO; Portland, OR; Seattle, WA; Las Vegas, NV; or Phoenix, AZ. Multiple opportunities for both senior and mid-level switchgear field service technicians. These openings are with a nationwide market leader of power distribution solutions, specializing in switchgear and controls for mission-critical environments. This company provides customized solutions for enterprise, colocation, and hyperscale data centers, ensuring reliability and uptime through controls integration, power distribution solutions, and switchgear installations. Their services include installations, retrofits, upgrades, turnkey electrical solutions, and preventive & corrective maintenance of UPS, switchgear, generators, and PLC systems. This is an excellent career-growth opportunity to work on exciting projects with leading-edge technology and competitive compensation. Electrical Commissioning Engineer New Albany, OH This traveling position is also available in: Richmond, VA; Ashburn, VA; Charlotte, NC; Atlanta, GA; Hampton, GA; Fayetteville, GA; Minneapolis, MN; Phoenix, AZ; 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

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DCF Trends Summit 2025: Power Chat

Data Center Frontier Editor in Chief Matt Vincent and Contributing Editor Bill Kleyman (CEO/Apolo) recently had another video chat to discuss the Data Center Frontier Trends Summit 2025 and, in particular, the event’s focus on data center power. The second annual Trends Summit is scheduled for August 26-28 in Reston, Virginia. Register Now This second QuickChat in our series—following the opening discussion that set the stage for the conference—now zeroes in on data center power challenges. The conversation explores how AI’s exponential growth is straining power infrastructure, turning energy into both a critical market-entry barrier and a defining theme of the event. The Power Challenge: Quantifying the Scale Kleyman outlined the sheer scale of the power challenge facing the industry. He cited a Goldman Sachs report projecting that U.S. data center power consumption, currently around 2-3% of total consumption, could more than double to 8-9% by 2028. He also highlighted a forecast that the data center industry will require upwards of 50 gigawatts (GW) of power by 2035, a figure he put into perspective by noting that 1 GW can power a city of a million people. The discussion mentions a few large-scale projects that illustrate this trend: Kevin O’Leary‘s Wonder Valley project in Alberta, Canada, aiming for 8 GW. Tract’s new multi-gigawatt campus project in Texas amid plans for a staggering 25 GW national build-out. Kleyman also referenced the NVL576 rack unveiled at Nvidia GTC 2025, which is capable of supporting 600 kilowatts (kW) per rack, signaling the official arrival of the “megawatt era class of data center racks.” Grid-Optional Solutions and the Summit Panels The discussion transitioned to how the industry is moving from being solely grid-reliant to “grid-optional.” A significant trend highlighted is the inclusion of behind-the-meter power generation in new builds, with 30% of new U.S. data

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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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