comfysocks
Joined 5 years ago
Joined 5 years ago
But frankly I’m calling bullshit on the “sensitive ears” explanation. There seems to be a focus on flagging articles that have discussions critical of the tech-billionaire/MAGA nexus. Also some of the loudest voices rallying to the defense of said nexus are accounts only a few months old with an unusually large amount of karma for the age of the account.
Apple’s strategic position is to be the main device by which apps and AI can gain access to end users. This puts them in a nice position to charge a toll on everything that passes through their device. Now if someone were to come out with a new type of device and a new paradigm that could disrupt iPhone as the main device, Apple would be in trouble.
Not long ago, Zuck seemed really confident about metaverse/AR/VR. Apple took the disruption threat seriously and countered with AVP. Now it looks like metaverse flopped. I suspect the priority of AVP has gone down inside Apple accordingly.
If you take this to be his argument, then dan’s numbers are more consistent ed’s claim.
It wasn’t an outside benchmark evaluation, or an external security researcher that uncovered the rogue agent behavior at this time, it was OAI itself. It wasn’t a notable outside mathematician that used AI to disproved Erdos’ unit distance conjecture, but OAI itself.
Im not saying these things are fabricated, but maybe the curated result of an effort to shape a narrative.
Capital markets are excited by AI.
By tying his rockets to AI with his vision of “orbital data centers”, Elon turned an $8 per share IPO (at least according to financial times and morgan stanley) into a $135 per share (1.8T) IPO.
You two are obviously smart people, but have you considered that maybe you are unconsciously being backed into a position that is just as absolutist as those you are arguing against? That you are just taking the opposite side in a binary argument where each side sees only one side of the coin?
Apparently not just foreign labs. It looks like xAI distilled Anthropic models to train grok.
https://opentools.ai/news/xai-trained-coding-models-claude-o...
A future that I like to imagine is one where LLM scaling laws hit a plateau. Plateau-level LLMs become commodities. They get distilled into small sizes. Everybody can have plateau-level local LLMs. People discover that it’s better to be a local-powered independent centaur than to be a reverse centaur for a mega-corp.