Hugging Face CEO Clem Delangue says enterprises increasingly want open models, due to cost, accessibility, and ownership. Do frontier models still matter if most production AI ends up running on open models?
Of all the debates raging about the potential downsides of AI, there is one worry causing the most hand-wringing among AI enthusiasts in Silicon Valley — that the giant AI labs that sell proprietary models are somehow acting like Trojan horses.
The AI chip boom just produced its biggest Wall Street moment yet. Now SK Hynix and Samsung are being asked to build U.S. factories.
Apple has signed a $30 billion+ multiyear deal with Broadcom to design and produce more than 15 billion U.S.-made custom wireless connectivity chips for Apple products.
Open source models’ success isn’t coming at the expense of frontier labs. Instead, they each seem to capture two phases of the same life cycle.
Microsoft cut around 4,800 roles, or 2.1% of its global workforce, on Monday — the latest in a series of layoffs that’s stoking fears of AI replacing jobs. The layoffs will hit Xbox and commercial sales the hardest.
Microsoft follows Amazon, OpenAI, and Anthropic with its new AI deployment group.
Neo is Bhavin Turakhia’s fifth venture and his latest involving enterprise software. This time he’s taking on Microsoft Office, Google Apps with AI.
VCs remain thirsty to fund AI coding startups. This one, founded by investor, Chamath Palihapitiya, is no exception.
“There were employees doing things like, ‘Claude is so helpful for me — it analyzes my calendar and my email and puts together a plan for me,'” he says. “That person was spending at a run rate of $30,000 a year for this.”