David Luan, CEO of Adept and former VP of Engineering at OpenAI, predicts how human-computer interaction will evolve as AI agents replace traditional manual UI workflows.
“I just think in five to 10 years, people are gonna use their computers by giving them high-level goals, right?”
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More from David Luan
PredictionOpen · timeframe Jun 2029
Luan: Vertical integration pressure will merge model builders and chip makers
“That's my expectation. To me, like what's interesting about AI from a business side, right, is like it forces the question of like, what Companies or offerings are going to be bundled or integrated and which ones are going to get unbundled. And I actually thin…”
David LuanJun 24, 2024▶ 25:33David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
AssertionNot checkable as stated
Luan: Leading AI companies are already lobbying for regulatory capture
“I think I think the move to go pull up the ladder behind them is already beginning. And I think that lawmakers don't really understand this technology at all. And so their default instinct is sort of listened to the most credible source. And usually those cred…”
David LuanJun 24, 2024▶ 48:58David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
PredictionNot checkable as stated
Luan: AI scaling will not suffer diminishing returns on compute
“The second way of improving model performance is just starting to be tapped now, and that's also going to absorb a boatload of compute. So because of that, I actually am not worried about diminishing returns to the compute over time.”
David LuanJun 24, 2024▶ 0:15David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
AssertionSupported
Luan: Base AI model performance requires doubling compute for consistent gains
“So put another way for just scaling up a base language model you need to double the amount of compute for that language model for it to be predictably consistently smarter.”
David LuanJun 24, 2024▶ 9:47David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
Insight
Luan: AI model progress is pivoting to synthetic data and reinforcement learning
“Now the critical path for model improvement is, is is shifting over to this to this sort of broader sort of simulation slash synthetic data slash like RL loop sort of path. I think it's just a natural consequence of the fact that it's so expensive to just keep…”
David LuanJun 24, 2024▶ 13:30David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
Insight
Luan: Pre-Trained LLMs Cannot Discover New Knowledge Beyond Human Data
“A model trained that way is only as good as the smartest data in the training set. Like, it cannot discover new knowledge, because its job, the way the models are trained, is to do what a human would do in that situation.”
David LuanJun 24, 2024▶ 14:21David Luan: Why Nvidia Will Enter the Model Space & Models Will Enter the Chip Space | E1169 · 20VC with Harry Stebbings
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