Tech
Elon Musk’s lawsuit is putting OpenAI’s safety record under the microscope
Elon Musk’s legal effort to dismantle OpenAI may hinge on how its for-profit subsidiary enhances or detracts from the frontier lab’s founding mission of ensuring that humanity benefits from artificial general intelligence.
On Thursday, a federal court in Oakland, California, heard a former employee and board member say the company’s efforts to push AI products into the marketplace compromised its commitment to AI safety.
Rosie Campbell joined the company’s AGI readiness team in 2021, and she left OpenAI in 2024 after her team was disbanded. Another safety-focused team, the Super Alignment team, was shut down in the same time period.
“When I joined, it was very research-focused and common for people to talk about AGI and safety issues,” she testified. “Over time it became more like a product-focused organization.”
Under cross-examination, Campbell acknowledged that significant funding was likely necessary for the lab’s goal of building AGI but said creating a super-intelligent computer model without the right safety measures in place wouldn’t fit with the mission of the organization she originally joined.
Campbell pointed to an incident where Microsoft deployed a version of the company’s GPT-4 model in India through its Bing search engine before the model had been evaluated by the company’s Deployment Safety Board (DSB). The model itself did not present a huge risk, she said, but the company needed “to set strong precedents as the technology gets more powerful. We want to have good safety processes in place we know are being followed reliably.”
OpenAI’s attorneys also had Campbell admit that in her “speculative opinion,” OpenAI’s safety approach is superior to that at xAI, the AI company that Musk founded that was acquired by SpaceX earlier this year.
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OpenAI releases evaluations of its models and shares a safety framework publicly, but the company declined to comment on its current approach to AGI alignment. Dylan Scandinaro, its current head of preparedness, was hired from Anthropic in February. Altman said the hire would let him “sleep better tonight.”
The deployment of GPT-4 in India, however, was one of the red flags that led OpenAI’s non-profit board to briefly fire CEO Sam Altman in 2023. That incident took place after employees, including then-chief scientist Ilya Sutskever and then-CTO Mira Murati, complained about Altman’s conflict-averse management style. Tasha McCauley, a member of the board at the time, testified about concerns that Altman was not forthcoming enough with the board for its unusual structure to function.
McCauley also discussed a widely reported pattern of Altman misleading the board. Notably, Altman lied to another board member about McCauley’s intention to remove Helen Toner, a third board member who published a white paper that included some implied criticism of OpenAI’s safety policy. Altman also failed to inform the board about the decision to launch ChatGPT publicly, and members were concerned about his lack of disclosure of potential conflicts of interest.
“We are a non-profit board and our mandate was to be able to oversee the for-profit underneath us,” McCauley told the court. “Our primary way to do that was being called into question. We did not have a high degree of confidence at all to trust that the information being conveyed to us allowed us to make decisions in an informed way.”
However, the decision to boot Altman came at the same time as a tender offer to the company’s employees. McCauley said that when OpenAI’s staff started to side with Altman and Microsoft worked to restore the status quo, the board ultimately reversed course, with the members opposed to Altman stepping down.
The apparent failure of the non-profit board to influence the for-profit organization goes directly to Musk’s case that the transformation of OpenAI from research organization into one of the largest private companies in the world broke the implicit agreement of the organization’s founders.
David Schizer, a former dean of Columbia Law School who is being paid by Musk’s team to act as an expert witness, echoed McCauley’s concerns.
“OpenAI has emphasized that a key part of its mission is safety and they are going to prioritize safety over profits,” Schizer said. “Part of that is taking safety rules seriously, if something needs to be subject to safety review, it needs to happen. What matters is the process issue.”
With AI already deeply embedded in for-profit companies, the issue goes far beyond a single lab. McCauley said the failures of internal governance at OpenAI should be a reason to embrace stronger government regulation of advanced AI — “[if] it all comes down to one CEO making those decisions, and we have the public good at stake, that’s very suboptimal.”
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Tech
The fax machine is the bottleneck in U.S. healthcare, and VCs are starting to notice
Like many AI companies automating work that humans currently do, Basata will eventually face a harder question about where the line is between augmenting workers and displacing them. For now, the founders say the administrative staff they work with aren’t worried about that; they’re more worried about drowning.
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Tech
Airbnb says AI now writes 60% of its new code
A large part of Airbnb’s Q1 2026 earnings call was dedicated to talking about how the company is using AI tools for coding, customer support, and search. Notably, the company claimed that 60% of the code its engineers produced in the quarter was written by AI — echoing comments by others like Google, Microsoft, and Spotify, which have all talked about AI accelerating their programming.
Airbnb CEO Brian Chesky noted that the company finds AI particularly helpful for building tools for its API partners who manage their properties using different software.
“API partners say they want to be better hosts and need better tools. AI gives huge leverage — where you might have needed a team of 20 engineers before, an engineer can now spin up agents to do a lot of work under supervision. Adopting AI tools gives us leverage to build more software for API partners, accelerating work we previously did not have resources for,” Chesky said.
Airbnb has been slowly expanding its use of AI for customer support over the past year, and Chesky said on Thursday that its customer support AI bot now handles 40% of issues without escalating to a human agent, up from about 33% earlier this year. The travel company has also been experimenting with using AI to power its search function.
However, Chesky acknowledged the difficulty of truly employing AI tools in the travel or e-commerce spaces, pointing to weaknesses in the chatbot user interface.
“I do not think anyone has figured out AI for travel or e-commerce yet […] The design of a chatbot, as currently constructed, does not work for travel or e-commerce. There are four problems: too much text (most of e-commerce is photo-forward); no direct manipulation (you have to type everything rather than adjust sliders); poor comparison (you can get lost trying to compare thousands of options in a thread); and most bookings are multiplayer, while chatbots are primarily single-player, and not map-native.
Airbnb said net income rose 3.9% to $160 million in the first quarter, while revenue increased 18% to $2.7 billion, compared to a year earlier. Nights booked went up 9% to 156.2 million in the period. The company said its new “Reserve now, pay later” feature drew almost 20% of its gross booking value in the quarter.
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Tech
The biggest US power grid is under strain from AI — and no one is happy
Pity the grid operator PJM Interconnection. For decades it worked quietly and in the background, matching electricity demand with supply. Meanwhile, customers enjoyed some of the lowest electricity prices in the United States.
No longer. Politicians, businesses, households, and power companies think it needs an overhaul. Even PJM is in agreement.
PJM released a white paper this week that said the region “has years, not decades” to make fundamental changes to the way it operates. “The current situation is not tenable,” PJM CEO David Mills wrote in a forward to the report.
Normally, this sort of wonky report would land on the desks of a few legislators and regulators. But PJM’s territory includes a large number of data centers, including the compute-dense region of Northern Virginia. What happens to PJM will send ripples throughout the tech world.
The 70-page report is an exercise in navel gazing. But despite the deep introspection, not everyone is convinced the organization is up to the task of overhauling itself. One utility, American Electric Power (AEP), is considering pulling out of PJM altogether.
“The current state of PJM’s performance and stakeholder approval process does not give me great confidence that these issues will be resolved anytime soon,” Bill Fehrman, AEP’s CEO, said in an earnings call Tuesday. “In fact, if something is not done now, I expect we could still be having these same conversations in 10 years. The PJM market worked very well when supply exceeded demand; we are now in a very different time.”
Here’s what changed
Cloud computing and AI have begun to strain PJM’s existing generating capacity. Against the backdrop of surging demand, PJM paused applications in 2022 for new generating sources to connect to its grid, citing a years-long backlog. Just as the need for electricity was beginning to grow for the first time in decades, the grid operator prevented new sources from even applying to get hooked up.
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PJM isn’t entirely to blame for the lengthy backlog. Many interconnection requests are duplicates — developers will propose essentially the same project in different grid regions to see which gets approved first. PJM’s sclerotic approval process meant that of the more than 300 gigawatts worth of projects in the queue in 2022, only 103 gigawatts ended up signing agreements, and only 23 gigawatts have been connected so far. Most developers withdrew rather than wait it out.
Demand in the region remains so large that, since PJM recently reopened the queue, power companies and project developers have filed more than 800 interconnection requests for 220 gigawatts worth of new power. PJM might have been able to pause new requests, but it did nothing to tamp down demand for new interconnections.
Here’s what PJM is proposing
In its white paper, PJM has proposed three options. One would require utilities and power generators to essentially make bigger, longer-term commitments. (PJM currently requires them to commit to supplying a certain amount of electricity for three years.) The second option would change reliability guarantees for customers — those who pay less might get their power cut first. The last choice would try to move PJM closer to a real-time market, where supply and demand dictate prices, without entirely eliminating stability from long-term contracts.
It’s hard to see how PJM emerges looking good in any of these scenarios.
First, the way PJM operates its market has somewhat locked it into a three-year mindset. That seemed to work when natural gas power plants were replacing coal-fired generators, but today solar and batteries can be installed at least two to three times faster. What’s more, the shortage of natural gas turbines means that power plants planned today won’t be able to install the equipment until the early 2030s. Plus, prices of turbines have skyrocketed on the back of demand for hyperscalers. Given those realities, it’s hard to see suppliers wanting to commit to an even longer timeline.
The second option would result in PJM splitting its territory, its customers, or both into groups of “haves” and “have nots.” For people and businesses stretched thin by years of rising utility bills, it’s hard to see them being happy with downgraded service. Politicians have seized on rising power prices and anti-data center animus, and so they are unlikely to back this one.
The last approach has the most nuance, but it also sounds like PJM trying to be all things to all people. It’s the type of plan that seems like it should appeal to large utilities like American Electric Power, giving them the opportunity to play in short-term markets to make more profit while also benefiting from predictable long-term contracts — having their cake and eating it, too. Yet if AEP, one of the largest utilities in PJM territory, isn’t thrilled with the menu before it, it’s hard to see how PJM can pick that one either.
Rising demand for data centers has just happened to coincide with disruption from renewables and batteries, which continue to drop in cost. Those trends are now colliding with an organization that doesn’t want — or doesn’t know how — to change the way it operates.
PJM may have thought its white paper mea culpa would buy it some time. But with politicians threatening price caps and utilities balking at future participation, the grid operator may not have years to sort things out. It’s looking like a messy few years ahead.
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