David Luan

7 statements across 1 episodes · 5 bullish · 1 bearish · 1 people on the record · first statement Mar 27, 2024 by David Luan · said 19 times in 10 episodes since 2024 · across every show →

On the record as a speaker too: David Luan's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Shawn Wang (7), Alessio Fanelli (7), Spooks (Swyx) (1)

tap a year for its mentions
0053105202420252026episodesmentions
035202420252026episodes it came up in
0012.525202420252026episodesmentions per episode
2026 3 mentions in 2 episodes 2 per episode
2025 6 mentions in 3 episodes 2 per episode
2024 10 mentions in 5 episodes 2 per episode

every mention, scene by scene, with the transcript →

Everything said about David Luan, oldest first

Mar 27, 2024 neutral
Assertion Not checkable as stated
Brockman and Sutskever handed Luan their direct reports to do IC work
“I think second or second or third day of my time at OpenAI Greg and Ilya pulled me in a room and were like, hey you know, the you should take over our directs and we'll go mostly do IC work.”
David Luan Mar 27, 2024 ▶ 1:57 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 bullish
Insight
Luan: AGI means performing any task a human can do on a computer
“I think agents are just absolutely the correct long-term direction, right? You just go to find what AGI is, right? You're like, hey, like, Well, first off, actually, I don't love AGI definitions that involve human replacement because I don't think that's actua…”
David Luan Mar 27, 2024 ▶ 4:34 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 bullish
Prediction Not checkable as stated
Luan: AI will converge into a universal byte model across all modalities
“Multimodal models are becoming more of a thing, we're behavioral cloning the visual world, but really what we're just going to have is this like universal byte model, right? Where like tokens of data that have high signal come in, and then all of those pattern…”
David Luan Mar 27, 2024 ▶ 6:15 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 bullish
Prediction Not checkable as stated
Luan: Training foundation models for robotics via behavioral cloning will work
“One, I'm so excited for someone to train a foundation model of robots. Like, it's just, I think it's just gonna work. Like, I will die on this hill. I mean, like, again, this whole time, like, we've been on this podcast, just continually saying, you know, like…”
David Luan Mar 27, 2024 ▶ 44:47 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 bearish
Prediction Not checkable as stated
Pure-play foundation model companies will be commoditized by Llama and big tech
“I think pure play foundation model companies are just gonna be pinched by how good The next couple of llamas are going to be, and the next, like, what next good open source thing, and then seeing the really big players put ridiculous amounts of compute behind …”
David Luan Mar 27, 2024 ▶ 42:31 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 positive
Insight
Luan: LLMs shortcut evolutionary RL by behaviorally cloning all human knowledge
“Like de novo RL is like a pretty terrible way to get there quickly. Why are we rediscovering all the knowledge about the world? Like years ago, I had a debate with a Berkeley professor as to like what will it actually take to build HCI? And his view is basical…”
David Luan Mar 27, 2024 ▶ 5:38 Why Google failed to make GPT-3 -- with David Luan of Adept
Mar 27, 2024 bullish
Prediction Not checkable as stated
Luan: Product-model co-evolution will drive AI progress over next years
“The number one driver of AI progress over the next couple of years is going to be the deep co-design and co-evolution of like product and users for feedback and actual technology.”
David Luan Mar 27, 2024 ▶ 4:01 Why Google failed to make GPT-3 -- with David Luan of Adept
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.