Arthur Mensch
18 statements across 2 episodes · 9 bullish · 3 bearish · 3 people on the record · first statement Dec 28, 2023 by Arthur Mensch · said 2 times in 1 episodes since 2025 · across every show →
On the record as a speaker too: Arthur Mensch's record, appearances and statements → this page counts the times other people say the name.
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2025 2 mentions in 1 episode
Everything said about Arthur Mensch, oldest first
Dec 28, 2023
Dec 28, 2023 positive
Dec 28, 2023 positive
Dec 28, 2023 positive
2022 DeepMind paper showed dataset size matters more than parameter count
“In fact, in twenty-twenty-two, a pivotal paper came out that changed the way that many people in the research community thought about this very calculus. And it demonstrated that datasets were actually more important than just the sheer size of the model.”
Dec 28, 2023 neutral
Dec 28, 2023 positive
Mensch: Overtraining models past Chinchilla limits lowers inference costs
“If you take into account the fact that your model Should also be efficient at inference time. You probably want to go far beyond the Cinchilla scaling low. So it means you want to overtrain the model. So train on more tokens than would be optimal for performan…”
Dec 28, 2023 negative
Mensch: AI industry stopped publishing open research after GPT-3
“And all of a sudden in with GPT-free, this tide kind of reversed and companies started to be more opaque about what they were doing because they realized there was actually a very big market. And all of a sudden in 20, 22, on the important aspects of AI and on…”
Dec 28, 2023
Dec 28, 2023 positive
Mensch: Pre-trained AI models should be neutral without creator bias
“Pre-trained models should be neutral, and we should empower our customers to take these models and just put their editorial approaches, their instruction, their constitution, if you want to talk like entropy, Into the model. So that's the way we approach the t…”
Dec 28, 2023 negative
Dec 28, 2023 bullish
Mistral AI plans to monetize through an open-core business model
“As a business, we do need to have a valid monetization approach at some point. But we've seen many businesses build open core approaches and have, A very strong open source community, and also a very good offer of services, and that's what we want to build.”
Mar 20, 2025 negative
Mensch: Closed-source AI models are unfit for high-certainty applications
“You can evaluate a model much better if you have access to the weights than if you only have access to APIs. And so if you want to build certainty around The fact that your system is going to be a hundred percent accurate, I don't think you should be using a c…”
Mar 20, 2025
Mar 20, 2025
Mensch: AI companies must run on distinct product and scientific frequencies
“You have fast frequencies on the product side. It's iterating every week. And you have slow frequencies on the science side that are looking at why profoundly the product is failing on certain domains and how they could fix it through research, through new dat…”
Mar 20, 2025 bullish
Mar 20, 2025 neutral
Huang: Enterprise AI will evolve into general, industrial, and custom tiers
“Your digital workforce is going to be the same and AI is going to be the same. There'll be some that, that you just kind of take off the shelf. You know, the new search will likely be, you know, some AI. The new research will probably be some AI. But then ther…”
Mar 20, 2025 positive
Mensch: Nations and enterprises must own their AI cultural alignment
“For me, this is an inherent limitation of centralized AI models, where you're thinking that you can encode some universal values and some universal expertise into a general purpose model. At some point you need to take the general purpose model and ask a speci…”
Mar 20, 2025 bullish
Mensch: Asynchronous AI workloads will drive massive new compute demand
“We are moving to, towards workloads that are more and more asynchronous. So workloads where you give a task to an AI system, and then you wait for it to do, like, 20 minutes of research before returning. So that's definitely changing a bit the way you should b…”