why aren't all 21 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 3 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Prediction Open · 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…”
Assertion Not 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…”
Prediction Not 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.”
Assertion Supported
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.”
Assertion Not checkable as stated
David Luan: Pure model scaling will not solve AI reasoning
“But I think pure model scaling does not deliver solutions to reasoning.”
Prediction Open · timeframe Jun 2029
Luan: There will be only five to seven max-scale LLM providers long-term
“I do think there will not be that many LLM players. I think that there will probably be, my guess is somewhere between five to seven long-term steady state LLM providers at maximum scale, just because of the costs involved.”
Prediction Not checkable as stated
Luan: Apple will dominate private on-device AI running at the edge
“And so I think as a result, I think Apple is just going to completely crush at everything that looks like something that's really private, something that's fine-tuned on your own particular data, but doesn't require massive reasoning capability. And that will …”
Prediction Not checkable as stated
Luan: Developer-focused model sellers must align with clouds or face commoditization
“Companies that sell models to developers will either need to effectively be the like first party effort of one of these big clouds, or they have a short window between now and commoditization to build such a big economic flywheel that they can afford to stay i…”
Prediction Not checkable as stated
Luan: In 5–10 Years, Computer Interaction Will Be Goal-Driven
“I just think in five to 10 years, people are gonna use their computers by giving them high-level goals, right?”
Prediction Not checkable as stated
Luan: AI will not take all jobs, humans will drive agentic systems
“Like, that's not, I don't think this is how this is going to play out. I think the way this is going to play out is, Is that what we're going to have as humans fundamentally be the drivers of these agentic systems that like that, like basically give everybody …”
Prediction Not checkable as stated
Luan: AI will not plateau like autonomous vehicles due to ongoing model breakthroughs
“What's going to prevent this for what I think has a hope of preventing this from just being a hype cycle that falls flat like AB is that those things are, those shoes are yet to drop. And as they do, the capabilities of these models are going to continue to im…”
Prediction Open · timeframe Jun 2029
Luan: Open-source AI will lag closed models over the next five years
“And I think in the next five years, open will always lag closed. And because open will always lag closed, because open just has fewer resources behind them and fewer incentives for people to go to go make things to be open as these things become more and more …”
Prediction Not checkable as stated
Luan: AI agents in five years will function like brain-computer interfaces
“Agents in five years time, I mean it's kind of gonna be, like, a non-invasive, like, brain-computer interface, basically. I think that's what an agent will be. Like, all of us are gonna be up-leveled. We're going to, you know, it's gonna feel like the same tra…”
Assertion Supported
Luan: ChatGPT was just GPT-3 with instruction tuning released a year later
“ChatGPT was really just GPT-III with instruction. It was basically like more chat tuning, but GPT-III API came out, I think, over a year before ChatGPT did, but only developers could play with it.”
Assertion Contradicted
Luan: Scaling GPT-2 without architectural changes unlocked three-digit arithmetic
“When we were training GPT-II, we trained GPT-II in various different sizes. And at the smallest size, the model was just, like, unable to do three-digit arithmetic. But as the models got bigger and bigger and bigger, we didn't change anything else. We just had…”
Assertion Not checkable as stated
David Luan: AI reasoning must be solved at the model provider level
“I think the general capability of reasoning will need to be solved at the model provider level. And that's because What you're actually doing is you're not just using the model to reason. You are trying to improve the model's ability to reason, which means the…”
Assertion Supported
Luan: Every major cloud and LLM provider is developing custom chips
“Every one of the major clouds is working on And every major LLM provider is working on a strategy to have their in-house chips because that way they have better margins.”
Assertion Not publicly verifiable
Luan: Google's TPU team had under 500 people on a shoestring budget
“I think the TPU team when I was at Google was, like, sub-five hundred people and their budget was a shoestring budget, and yet somehow every generation they taped out quite good chips that were then used to train Gemini and Palm and are used by third parties n…”
Assertion Not checkable as stated
Luan: OpenAI and DeepMind pivoted AI research strategy before competitors
“What OpenAI realized before basically everybody but DeepMind was that the next phase of AI after Transformer was not going to be about research paper writing. It was going to be about let's choose a major unsolved scientific problem and just try to solve it.”
Prediction Not checkable as stated
Luan: AI will make workers generalists supervising specialized AI co-pilots
“So I think what it's gonna do is it's gonna make humans at work much more like generalists, and it's gonna have, like, causes to create larger and larger, oh, sorry, like or giving people sort of, like, larger and larger scope over various different, like, are…”
Prediction Not checkable as stated
Luan: Enterprise AI adoption will play out over a very long timeline
“We're going to be on this adoption curve for enterprise AI for a very, very long time.”