Meta’s new AI chips will begin production in September
The company is taking a modular approach to designing these chips, anticipating that their needs will change as AI evolves rapidly by the time the chips are in production.
The company is taking a modular approach to designing these chips, anticipating that their needs will change as AI evolves rapidly by the time the chips are in production.
Muse Image allows users to generate AI images using photos from public Instagram accounts. As long as a person’s profile is public, another user can tag that account and use their images as part of an AI-generated creation.
Meta’s pitch to users is Spark’s ability to handle large agentic workloads, fix bugs, and help with large code migrations — the kind of automation that enterprises are increasingly turning to AI companies to provide.
“Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way,” the company said in a blog post. “We’ve heard the feedback that this feature missed the mark, so it’s no longer available.”
Instagram head Adam Mosseri believes companies will eventually need to manage AI token spending the same way they manage payroll or other operating expenses, predicting that engineers could soon face limits on how much they spend using AI tools.
“Increasingly in our world, it gets harder and harder to know what is real,” Lorde said onstage.
With the new tools, parents and guardians will be able to view their teen’s time spent on Threads, set daily time limits, adjust sleep mode, and manage their privacy settings.
With the new “Replace Audio” tool, users can update the music on their post at any time while keeping the post’s existing likes, comments, shares, and reach intact.
At last, a tech company has found a way to outsource humanity’s oldest pastime: using our imaginations.
Glow is targeting a new class of endpoint risks created by the rapid adoption of AI agents and developer tools inside enterprises.