“There's a surprising lot of alpha still on X just from places where you don't like, so there's places I have not found much alpha on LinkedIn. The group chats, the anons the open source like GitHub discussions, lots of really good stuff is buried in like a GitHub issue or like a feature request where someone's like, Hey, this thing would be cool.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
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Opinion
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“GPT, 4.5 is like ginormous model, trillions of parameters, most likely. And that like, there's more room in the model to have these like little sparse connections materialize as you go through layers of the transformer. And I just haven't seen anything like th…”
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PredictionNot checkable as stated
Will Brown: Nobody will run Meta's giant model for daily tasks
“When Meta releases this behemoth model, I don't think anyone's really gonna run behemoth. For like their day to day stuff. It's just probably not gonna be worth it.”
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PredictionNot checkable as stated
Will Brown: Effective agentic AI will work well on small models
“That's kind of like my bet is like, people are going to really want to train models to be agents. And I think you can get that to work well with a pretty small model.”
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“I'm happy to call O three, 10 minute AGI. And I think like framing AGI in terms of like length of time, it takes a human to do a task is like more reasonable than like a global framing. Like, sure. There's a bar of like drop and replace for a human that we are…”
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“Most of these pilots are very much intended to be churned. Like, they're not, they're very much in a, they're not being rolled out broadly. They are coming through in a kind of walled off environment for people who are, like, gonna be the beta testers.”
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