Musk v. Altman is a fight over how much power is too much in Silicon Valley. Get your news from a source that's not owned and controlled by oligarchs. In May 2016, Elon Musk did something out of character that he has now spent years of his life trying to undo: He made what he believed to be a charitable donation. The world's richest man is also among its stingiest. Musk's private foundation often doles out less than the minimum percentage required by law.

HCCV datasets constructed through nonconsensual web scraping lack crucial metadata for comprehensive fairness and robustness evaluations. Current remedies are post hoc, lack persuasive justification for adoption, or fail to provide proper contextualization for appropriate application. Our research focuses on proactive, domain-specific recommendations, covering purpose, privacy and consent, and diversity, for curating HCCV evaluation datasets, addressing privacy and bias concerns. We adopt an ante hoc reflective perspective, drawing from current practices, guidelines, dataset withdrawals, and audits, to inform our considerations and recommendations.

The trial between the CEOs makes the AI boom seem sordid and small. Elon Musk and Sam Altman are two of the most influential people in Silicon Valley, if not the world. Between the two of them, Musk and Altman run technology companies worth many trillions of dollars that promise to reshape civilization. But this morning, both sat under fluorescent lights in a courthouse in downtown Oakland, suffering through all manner of technical glitches as their respective attorneys kicked off the long-awaited trial in . As Steven Molo, a lawyer for Musk, began his opening argument, confused looks swept the courtroom.

We introduce camouflaged data poisoning attacks, a new attack vector that arises in the context of machine unlearning and other settings when model retraining may be induced. An adversary first adds a few carefully crafted points to the training dataset such that the impact on the model's predictions is minimal. The adversary subsequently triggers a request to remove a subset of the introduced points at which point the attack is unleashed and the model's predictions are negatively affected. In particular, we consider clean-label targeted attacks (in which the goal is to cause the model to misclassify a specific test point) on datasets including CIFAR-10, Imagenette, and Imagewoof. This attack is realized by constructing camouflage datapoints that mask the effect of a poisoned dataset. We demonstrate the efficacy of our attack when unlearning is performed via retraining from scratch, the idealized setting of machine unlearning which other efficient methods attempt to emulate, as well as against the approximate unlearning approach of Graves et al. [2021].

Musk testifies at OpenAI trial it's not OK to'loot a charity' Elon Musk has taken the stand at a high-stakes trial over the future of OpenAI, casting his lawsuit against the ChatGPT maker as a defence of charitable giving. The world's richest person is suing OpenAI, its cofounder and chief executive officer, Sam Altman, and its president, Greg Brockman, and said on the stand on Tuesday that they betrayed him and the public by abandoning OpenAI's mission to be a benevolent steward of AI for humanity and transforming the nonprofit into a profit-seeking juggernaut. Musk, who founded carmaker Tesla and rocket company SpaceX, also said he is committed to serving the public by working 80-to 100-hour weeks and generally not taking vacations. "I like working and solving problems that make people's lives better," he said. Before Musk began testifying, Bill Savitt, a lawyer for OpenAI and Altman, told jurors during his opening statement it was Musk who saw dollar signs as he helped finance OpenAI's early growth and pushed it to become a for-profit business, one he might eventually lead as CEO.

Elon Musk Testifies That He Started OpenAI to Prevent a'Terminator Outcome' The judge also warned Musk and Sam Altman to curb their "propensity to use social media to make things worse outside the courtroom" after both sides traded attacks online. Elon Musk and Sam Altman appeared in a federal courtroom together for the first time on Tuesday as they fight over OpenAI's decade-long evolution and what it means for the company's future. The trial in Musk's lawsuit against Altman could result in financial damages and, more significantly, governance changes at OpenAI that may complicate its plans for an initial public offering as soon as this year. As the first witness on the stand, Musk immediately sought to frame his case as more than just about OpenAI. Siding with Altman "will give license to looting every charity in America" and shake the "entire foundation of charitable giving," Musk told a panel of nine jurors advising US District Judge Yvonne Gonzalez Rogers on how to rule.

A trial pitting two founders of OpenAI - Sam Altman and Elon Musk - against each other has opened in California, with the sides presenting duelling narratives about the company's history and obligations to consumers. Musk, wearing a dark suit and tie, was asked by one of his lawyers what the lawsuit was about when he took the stand. It's actually very simple, he said. It's not okay to steal a charity... If it's okay to loot a charity, the entire foundation of charitable giving will be destroyed.

'It's Undignified': Hundreds of Workers Training Meta's AI Could Be Laid Off More than 700 people working for a Meta contractor in Ireland are at risk of losing their jobs, documents show. Hundreds of workers in Ireland tasked with refining Meta's AI models have been told that their jobs are at risk as the company embarks on a sweeping new round of layoffs, according to documents obtained by WIRED. The affected workers are employed by the Dublin-based firm Covalen, which handles various content moderation and labeling services for Meta. The workers were informed of the layoffs over a brief video meeting on Monday afternoon and were not allowed to ask questions, according to Nick Bennett, one of the employees on the call. "We had a pretty bad feeling [before the meeting]," he says.