Claim, counter-claim and tech's seedy side exposed: Five things we learned in the Musk-Altman trial It is the legal showdown that has pitted two of the biggest names in tech, Elon Musk and Sam Altman, against each other. At stake is the future of one of the world's most valuable start-ups, ChatGPT-maker OpenAI, along with the reputations of Altman - the company's boss - and Musk, the man he founded it with. The central claim the jury has now retired to consider is Musk's argument his former friend stole a charity, cheating him out of a fortune (albeit a tiny one, by Musk's standards) along the way - something Altman strongly rejects. But there's been much more to the trial than that. Over the past three weeks, myself and other reporters have been glued to our seats at the federal court in California as the evidence ranged from explosive text messages to revelations of free Teslas allegedly offered in exchange for power.

A federal jury is now deciding whether Elon Musk will win his lawsuit against OpenAI and Sam Altman--but the trial has made everyone look bad. Attorneys delivered closing arguments in the trial on Thursday in a final attempt to convince a judge and jury that their respective clients, Elon Musk and Sam Altman, are the most well-intentioned, truth-telling stewards of OpenAI's founding nonprofit mission. A judgement could be delivered as soon as next week, ending a decade-long battle between two of the technology industry's most influential entrepreneurs. But regardless of the outcome, there is a wide set of losers in this case. Based on ample amounts of evidence, it appears that the people worst off are the employees, policymakers, and members of the public who believed in the mission of a nonprofit research lab--and supported OpenAI because of it.

We study inventory control with decision-dependent censoring, focusing on the censored or repeated newsvendor (R-NV), where each order quantity determines whether demand is fully observed or censored by sales. Existing approaches based on parametric Thompson sampling (TS) can be brittle under prior mismatch, while offline imputation methods need not transfer to online learning. Motivated by the predictive view of decision making, we combine these ideas by taking oracle actions on learned completions of latent demand. We propose in-context generative posterior sampling (ICGPS), which uses modern generative models that are meta-trained offline and deployed online by in-context autoregressive generation. Theoretically, we show that the Bayesian regret of ICGPS with a learned completion kernel is bounded by the Bayesian regret of a TS benchmark with the ideal completion kernel plus a deployment penalty scaling as $\sqrt{T}$ times the square root of the completion mismatch. This yields a plug-in template for operational problems with known TS regret bounds. For R-NV, we derive sublinear Bayesian regret by reducing censored feedback to bandit convex optimization feedback. We also show that, under reasonable coverage and stability assumptions, the online completion mismatch is controlled by the offline censored predictive mismatch, so offline predictive quality transfers to online performance. Practically, we instantiate ICGPS with ChronosFlow, which combines a frozen time-series transformer backbone with a trainable conditional normalizing-flow head for fast censoring-consistent sampling. In benchmark experiments, ChronosFlow-ICGPS matches correctly specified TS, outperforms myopic and UCB-style baselines, and is robust to prior mismatch and distribution shift. ChronosFlow-ICGPS also performs well for the real-world SuperStore dataset, especially under heavy censoring.

OpenAI's CEO, Sam Altman, arrives at the federal courthouse in Oakland, California, on Thursday. OpenAI's CEO, Sam Altman, arrives at the federal courthouse in Oakland, California, on Thursday. Nine-person jury to consider whether AI firm bilked world's richest person and unjustly enriched themselves Closing arguments began on Thursday in Elon Musk's lawsuit against Sam Altman and OpenAI, bringing the weeks-long courtroom battle between the two tech moguls nearer to a decision. A nine-person jury is set to deliberate and return a verdict on whether they believe the AI firm and Altman are liable in the case. The trial, which began last month in an Oakland, California, federal courthouse, has gripped Silicon Valley and featured some of the tech industry's biggest names as witnesses.

Closing arguments begin in Elon Musk's landmark lawsuit against OpenAI Lawyers for OpenAI and Elon Musk began closing arguments in a landmark trial that could impact the future of the ChatGPT maker. On Thursday, each side presented a concluding statement to jurors, who will decide whether OpenAI and its leaders profited from a venture that was meant to be a "charity". Musk sued OpenAI, its CEO Sam Altman and its president Greg Brockman, alleging that the company strayed from its founding mission to build AI that was safe and beneficial to humanity. Musk was not present for the closing statements on Thursday, as he is currently in China on a diplomatic visit with United States President Donald Trump. His lawyer, Steven Molo, used his final remarks to accuse OpenAI of breaching its charitable trust by enriching investors and insiders at the nonprofit's expense.

Elon Musk's team seems to have one main goal: make the OpenAI boss look like a liar. Musk's wins so far mainly involve making OpenAI and Altman look ridiculous. Get your news from a source that's not owned and controlled by oligarchs. Can you trust Sam Altman? That was one of the central themes at the high-profile trial between the OpenAI CEO and Elon Musk in California this week, as Musk's lawyers peppered Altman with questions on his work relationships, including his temporary ouster from OpenAI three years ago by a mistrustful board of directors .

An Engineer's Post Protesting Laptop Surveillance Is Going Viral Inside Meta Meta employees in the US and UK are organizing against corporate software that tracks workers' keystrokes and mouse activity. Meta's decision to track employee keystrokes and mouse data is causing an uproar within the company. "Selfishly, I don't want my screen scraped because it feels like an invasion of my privacy," wrote an engineer in an internal post seen by nearly 20,000 coworkers this week. "But zooming out, I don't want to live in a world where humans--employees or otherwise--are exploited for their training data." The message aimed to rally support for a petition circulating inside the company since last Thursday that demands an end to what Meta calls the Model Capability Initiative.

'This is an apartheid regime' Far-right Israeli minister Itamar Ben Gvir stormed the Al-Aqsa compound under heavy military protection during Jerusalem Day, as Israelis marched through occupied East Jerusalem. The march marks Israel's 1967 capture and illegal occupation of East Jerusalem. Iran's FM urges BRICS states to condemn US-Israeli aggression

Jurisprudence It Was One of DOGE's Most Absurd Abuses. One year ago, the Trump administration canceled more than 1,400 grants from the National Endowment for the Humanities. More than $100 million in congressionally appropriated funds awarded to scholars, writers, archivists, and researchers across the country was snatched up in three days. There was no due process. Just a chatbot and two guys from DOGE who had no legal authority to be there in the first place.

'This is an apartheid regime' A developer from the occupied West Bank is turning a 75-year-old Palestinian folk tale into a video game, and the fight to make it mirrors the story inside it. Dreams on a Pillow follows a mother displaced during the 1948 Nakba. We spoke to developer Rasheed Abueideh. Iran's FM urges BRICS states to condemn US-Israeli aggression