X：Rohan Paul

Full video https://t.co/KkzUYP4J9e

Now it makes sense even more. David Sacks: AI doom narratives already have serious money behind them. And Anthropic IPO could make that funding base much larger. https://t.co/1AerZ63OMp https://t.co/BA2T8M6Jce

Jacob Coxon's next interview on CBS News (ex Anthropic+Open AI researcher who resigned) "We can't just unplug it because it could be copying itself over to other computers. Like it's not that difficult to find yourself because an AI is just code. It could transfer itself over the internet to a different place and then you unplug it here, but it's actually still over there and maybe it makes 10,000 copies of itself and they're all cooperating." ---- From "CBS News" YouTube channel, (full video link in comment)

Open-weight models may undermine AI lab revenue while continuing to feed cloud demand. OpenRouter’s data suggests proprietary models’ share of routed queries fell from roughly 60% to 25% within months. Its routing system directs each request to the lowest-cost model expected to produce an adequate answer, letting open models gain usage without customers selecting them manually. e.g. AT&T is moving a rapidly growing share of its AI work from proprietary models to cheaper open models, and reports cost savings of up to 80%. If other large companies follow, OpenAI and Anthropic could lose much of the routine enterprise usage they currently charge for. FT published a piece

Mark Zuckerberg: Most businesses will not own frontier AI in the way Meta or OpenAI does. But many will end up with something that feels like their own AI: a customized operational layer that reflects how that company actually works. He says, "OpenAI, Google, they're building an AI. But I think we're gonna have a lot of different AI systems, just like we're gonna have, we have a lot of different apps. I think in the future, every business, just like I have a website and a phone number and an email address, a social media account, is also going to have an AI that can interact with their customers to help them sell things, help them give support." --- What he is really describing that a company’s “own AI” will usually not be a frontier model trained from scratch, but a layer built on top of shared models, shaped by its products, policies, customer history, and way of working. Support, sales, and basic operations can be handled through a system that knows the business well enough to answer, route, recommend, and escalate without feeling generic. --- From 'Cleo Abram' YT channel (link in comment)