Mike Conover, founder of Brightwave, explains why vertical AI architectures should rely on bounded finite state machines rather than autonomous, open-ended agents.
“Specifically, like, I don't think that unbounded agentic behaviors are useful and that instead a useful LLM system is more like a finite state machine where the behavior of the system is occupying one of many different behavioral regimes and making decisions about what state should I occupy next in order to satisfy the goal.”
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Insight
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Mike ConoverJun 11, 2024▶ 5:40How AI is Eating Finance - with Mike Conover of Brightwave
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“The other piece of this is that the financial modeling is often very, when we talk to our users, it's very personal. So they have a specific view of how a company is structured. They have the, you know, one key driver of asset performance that they think is re…”
Mike ConoverJun 11, 2024▶ 47:01How AI is Eating Finance - with Mike Conover of Brightwave
Opinion
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“I think that process of idea generation is absolutely automatable.”
Mike ConoverJun 11, 2024▶ 54:09How AI is Eating Finance - with Mike Conover of Brightwave
AssertionNot checkable as stated
Conover: AI model developers are absolutely overfitting to public evaluation benchmarks
“And I think the work around over, you know, overfitting on the test, I think is like that. 100% is happening.”
Mike ConoverJun 11, 2024▶ 58:21How AI is Eating Finance - with Mike Conover of Brightwave
PredictionNot checkable as stated
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“The incentives, the economic incentives for companies to train their own foundation models, I think, are diminishing. So the, like, window in which you are the dominant pre-train, and let's say that you spend five to forty million dollars, you know, for like a…”
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