The papers may be this and this, from the link posted by @KingOfPain a week ago.
Glad you posted this. I took a note of King’s link but hadn’t followed up.
Sabine is good. Her presentation supports my developing sense from limited usage of ChatGPT and occasionally Gemini that there is indeed more than next-token prediction happening, but also too little to be really useful or reliable.
The papers look very interesting from a quick skim. Great work at Anthropic.
Mother-in-law needs bloodwork and AI thinks I should be more sensitive about it. In like 5 years thinking for yourself will be a thing of the past, it'll just be a bunch of AI bots talking to each other.
… a Reddit user named BrokenToasterOven noticed that while swapping between a desktop, laptop, and a remote dev box, Cursor sessions were unexpectedly terminated.
"Logging into Cursor on one machine immediately invalidates the session on any other machine," BrokenToasterOven wrote in a message that was later deleted by r/cursor moderators. "This is a significant UX regression."
Confused and frustrated, the user wrote an email to Cursor support and quickly received a reply from Sam: "Cursor is designed to work with one device per subscription as a core security feature," read the email reply. …
As you might expect, a lot of anger was generated by the response. The company has since fixed the session-termination bug and apologized for the bot called Sam making shit up.
Off-topic: I watched a few more of Elle Cordova’s skits, then found out that she’s actually a musician (under the name Reina del Cid). When searching for some of her music, I also landed on Joshua Turner’s channel due to their collaborations.
Sometimes I wonder why Youtube recommends videos to me, but in this case I really went down the rabbit hole and found several awesome musicians.
This could’ve gone under “The Fall of Intel” thread, but I think the larger point is that consumers in general aren’t enthused about buying AI-branded products or care about them. It’s another reason why I think that Apple panicking over being “behind” is counterproductive - though reorganizing a dysfunctional department is of course a good idea regardless as is improving Apple hardware for machine learning tasks. What they don’t need to be doing is over promising and under delivering on AI services that consumers are not actually interested in or willing to pay for (at least enough to justify their costs).
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