Will Brown
10 statements across 2 episodes · 3 bullish · 5 bearish · 1 people on the record · first statement May 9, 2025 by Will Brown · said 1 times in 1 episodes since 2025 · across every show →
On the record as a speaker too: Will Brown's record, appearances and statements → this page counts the times other people say the name.
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Everything said about Will Brown, oldest first
May 9, 2025 negative
Group-chat multi-agent systems like CrewAI do not work well
“I think people were, like, excited about multi-agent systems for a while, like, the crew AI sort of thing of, like, oh, I'm gonna put my coder agent, my finance agent in group chat, and, like, a lot of these are just kind of silly. They don't actually work ver…”
May 9, 2025 positive
May 9, 2025 bearish
May 9, 2025 bearish
May 9, 2025 positive
Weight updates across specialized tasks are orthogonal enough to merge asynchronously
“The updates made to model weights are orthogonal enough for specialized tasks that this is actually like totally fine. Things are nice and linear in most cases, things are nice and orthogonal, and you can get away with a lot of async updates to models that are…”
May 9, 2025 negative
May 23, 2025 neutral
Brown: Claude 3.7 works for quick projects, not large codebases
“I never really got to the point where I found it was helpful for a thing that was like a large existing code base. But if it's like, hey, I want to like cook something up in a few hours for fun. Pretty good at that. But these become messy and they become hard …”
May 23, 2025 neutral
Brown: Small LLMs default to skipping tool calls without explicit training
“If you set these models up to use tools, They just won't. Like if you say, hey, here's a question. You have access to these tools. Do as many rounds of tool calling as you want, and then submit your answer. They'll just submit their answer because they like ar…”
May 23, 2025 bearish
May 23, 2025 positive
Brown: Truncating reasoning model thinking mid-sentence still yields good outputs
“So it seems like artificially truncating the thought is actually like fine. Like the model can, even if like it got cut off mid-sentence with an injected like think token, these are smart enough models that they can kind of finish with the best that they got f…”