At the same time, there’s a burgeoning local AI movement, consisting of small developers and tinkerers who want to work on AI on their own computers for a combination of cost, privacy and convenience reasons. There’s even a belief among libertarian-minded developers that local AI gives them a way to ensure governments can’t take away their access to the technology. Autonomous agent platforms like OpenClaw, which can perform complex tasks with users’ local apps and files, have also contributed to the rise of the movement.
Compute, the industry shorthand for computing power, is the lifeblood of the AI boom, and it’s in short supply. Now fights over how to get more of it—and what projects to give priority to—are sending a powerful industry scrambling. Bitter rivals are forming new alliances, such as Elon Musk and Dario Amodei, whose companies worked together to secure computing power. Venture-capital firms are touting access to AI chips to woo startups. And power struggles are more frequent as companies compete in a worldwide treasure hunt for the tech industry’s most coveted resource
The quasi-revenue numbers for OpenAI that got wide circulation last week were off— way off. Instead of $70 billion in annualized revenue, as we and others reported, OpenAI is generating closer to $50 billion in annualized revenue (sometimes shortened to ARR).
AMD announced on Monday that it’s acquiring AI innovator Dr. Fei-Fei Li’s World Labs in an all-stock deal valued at around $8.2 billion. That’s a 62% premium over the $5 billion valuation World Labs earned just around seven months ago.
Motion turns reports, charts, product walkthroughs and other kinds of data and content into short animations. Because Claude is writing these purely in code, without a video model, you can ask for basic edits before exporting to an MP4 file. The best part is, there’s no extra setup required; once it launches for your plan, just type “/motion” into Claude’s message box to try it out.
There before him was a literal snapshot of his checking and savings account balances, various construction costs for a house project, and recurring charges for Netflix and car insurance, courtesy of his agent.
Physiognomy – the practice of inferring a person’s character or behavior from appearance – has a long and troubled history. Scientists have thoroughly discredited such claims for decades. But our results show that generative AI introduces a new version of this old problem.
