“The way that we get to this, like, more reliable, multi-step workflows that can do things beyond, you know, generate unit test is, is, it's really gonna be, like, a search-based approach, where, where you use an LLM as, kind of, like, an advisor or a proposal function sort of your heuristic function, like, the A-star search algorithm. But it's probably not going to be the thing that is the backbone, because I guess it's not the right tool for that.”
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 →
“Like today, Cody uses StarCoder for inline completions, and with the benefit of the context that we provide, we actually show, like, comparable completion acceptance rate metrics. It's kind of like the standard metric that folks use to evaluate inline completi…”
Beyang LiuDec 17, 2023▶ 15:22The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Opinion
Liu: Pure transformer models are insufficient to support autonomous AI agents
“We're actually a little bit, I think, more bearish than the average, you know, AI hypefluencer out there on the feasibility of agents with purely kind of like transformer-based models.”
Beyang LiuDec 17, 2023▶ 24:08The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Opinion
Liu: Open-source AI models are currently state-of-the-art for code completion
“Yeah, I mean, for completions, open source is, is state of the art right now.”
Beyang LiuDec 17, 2023▶ 1:09:58The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Insight
Liu: Reliable single-step generation is a strict prerequisite for true AI agents
“If you want to get to the point where you can actually be truly agentic or like multi-step automated a necessary part of that is like the single step has to be robust and reliable.”
Beyang LiuDec 17, 2023▶ 1:30:29The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
PredictionNot checkable as stated
Liu: AI coding assistants must pull context beyond Git repositories to succeed
“And I don't think the AI developer will be any different. It will need to pull context from all these different sources.”
Beyang LiuDec 17, 2023▶ 37:22The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
PredictionNot checkable as stated
Liu: Post-hype reality check will expose the limits of AI search techniques
“And I don't know, I think in the next year or two, maybe as like the, as we get past like the peak AI hype, we'll start to see the gap emerge or become more obvious to more people about like how, how, how many of like the newfangled techniques actually work in…”
Beyang LiuDec 17, 2023▶ 1:05:04The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
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