Yann Dubois
23 statements across 1 episodes · 9 bullish · 3 bearish · 1 people on the record · first statement May 21, 2026 by Yann Dubois · across every show →
On the record as a speaker too: Yann Dubois's record, appearances and statements → this page counts the times other people say the name.
Everything said about Yann Dubois, oldest first
May 21, 2026 bearish
Dubois: Simulations will never fully eliminate the need for real-world AI training
“The problem is simulations are always going to be really hard and are not going to be truthful. So I think there will always need to be a certain, a little bit of training that will need to happen in the real world to make sure that the model realizes kind of …”
May 21, 2026 neutral
Dubois: AI models outperform new employees initially but lack continual learning
“Right now, actually most models at day zero, if you just drop them in a company arguably they are more useful than most new employees. So they start higher at T zero. But then across time they are mostly constant because they don't really learn kind of company…”
May 21, 2026
May 21, 2026 bullish
May 21, 2026 bullish
Dubois: AI's coding discontinuity will permeate other verticals within two years
“Now the feeling of discontinuity will happen. It did happen three months ago with coding or four months ago with coding, and I think that will happen now in every other domains. Like most people are not feeling the same way Like the, like kind of the capabilit…”
May 21, 2026
Dubois: AI model knowledge calibration generalizes across all domains
“When you have hallucination of LMs, if a model is really bad at saying that it doesn't know, that usually happens in every single domain. You won't have, like, one domain where the model is extremely calibrated about its knowledge, and another domain where it'…”
May 21, 2026 positive
May 21, 2026 neutral
Dubois: AI community is still pretty far from real-world embodied interaction
“So I do feel like we will improve the common sense of our model by having them interact in the real world. But we are, we're still pretty far from that, I think. And by we, I mean just generally the academic community and the AI community seems pretty far from…”
May 21, 2026 negative
OpenAI's Yann Dubois rarely uses GPT-5.5 Pro due to high latency
“I personally don't use Pro that much because I really don't like waiting. I'm pretty impatient, so I don't like waiting for that long, and I know that the probability of being correct definitely improves, but it doesn't improve, like, enough for me to use it.”
May 21, 2026
Dubois: AI research aims to shift test-time scaling curves left
“The usual plot that you should be looking at is X axis, the number of tokens that you think for and Y axis the performance. So this is the, these test time scaling curves that we look at. And research basically tries to move this curve to the left. So think le…”
May 21, 2026
May 21, 2026 bullish
Dubois: AI frontier labs have successfully bypassed internet data walls
“There were a lot of conversation about hitting data walls, and it seems like we did not quite hit it. So the larger the model is, the more data it needs to ingest to be trained. And it seems like different companies kind of found different ways to overcome the…”
May 21, 2026 bullish
Dubois: Embodied AI will advance general intelligence through world interaction
“I still believe that once we go to embodied agents, embodied AI, you will learn a lot about the world. And you will kind of improve general intelligence and usefulness to users by learning how, how the world interacts with itself.”
May 21, 2026
May 21, 2026 neutral
May 21, 2026 positive
Dubois: Larger AI models achieve higher efficiency by thinking through weights
“If you have larger models the amount of thinking time, so the amount of tokens they will think for will usually decrease. And the way that you can think about it is that metaphorically, the model already thinks through its weights when it generates a certain t…”
May 21, 2026
May 21, 2026 negative
May 21, 2026 positive
May 21, 2026 positive
Dubois: AI performance in new verticals depends on domain expert focus
“And in general, I would say the performance of the model really depends on, like, the number of people who care about the final output of the model and who are looking at that model. So if they start looking more on specific verticals, like, these verticals wi…”
May 21, 2026 positive
Dubois: Current models with optimized harnesses would feel like AGI
“If we froze the models that we have right now, and you really worked on the harness, and, like, maybe, like, we also spend more time, like, training with, like, a great harness I think people would really feel the AGI in every single domain, or could already f…”
May 21, 2026
Dubois: Longer-running agentic AI tasks inherently carry higher overall error probabilities
“Given that these are agentic models the longer, if you just think about it as like every two minutes, there's like a certain probability that they are wrong. The longer that they run, The higher the probability that, like, the final answer is going to be wrong…”
May 21, 2026 neutral
Dubois: Multimodal data is not strictly necessary for strong AI reasoning
“I always thought That it would really help, ah, kind of your reasoning abilities if you have a lot of multimodal data And I still think this, but for example, like if you look at entropic models, they tend to not be that good on multimodal, and they are still …”