Mistral AI
also referred to as: mistral
includes Mistral Large, Mistral Seven B
14 statements across 3 episodes · 6 bullish · 3 bearish · 2 people on the record · first statement Nov 9, 2023 by Arthur Mensch · said 49 times in 17 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Sarah Guo (24), Elad Gil (18), Arthur Mensch (3), Thomas Dohmke (1), Jared Quincy Davis (1), Emily Glassberg Sands (1), Dylan Patel (1)
tap a year for its mentions
2026 1 mention in 1 episode
2025 3 mentions in 3 episodes 1 per episode
2024 26 mentions in 10 episodes 3 per episode
- No Priors Ep. 54 | With Sarah Guo & Elad Gil
- No Priors Ep. 57 | With LangChain CEO and Co-Founder Harrison Chase
- No Priors Ep. 46 | Best of 2023 with Sarah Guo and Elad Gil
- No Priors Ep. 78 | With AWS CEO Matt Garman
- No Priors Ep. 77 | With Foundry CEO and Founder Jared Quincy Davis
- No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
- No Priors Ep. 63 | With Sarah Guo and Elad Gil
- No Priors Ep. 59 | With Sarah Guo & Elad Gil
- 2 more episodes that year, every mention in 2024 →
2023 19 mentions in 3 episodes 6 per episode
Everything said about Mistral AI, oldest first
Nov 9, 2023 neutral
Nov 9, 2023 negative
Nov 9, 2023 neutral
Mensch: Viable AI agents require a 100x reduction in compute costs
“I think making a model smaller is definitely a way to make agent work. Because one problem you have with agent that very quickly is start to, if you run an agent on GPT four you're going to run out of money very quickly. And so if you divide by a hundred the, …”
Nov 9, 2023 neutral
Mensch: Pure scientific model performance ignores crucial runtime inference costs
“And if you want to push the performance, the pure performance of models, you don't care about inference because you, well, you are not going to use the model. You're just going to see whether they're good or not. And that's really for scientific purposes. But …”
Nov 9, 2023 bullish
Mensch: Distilling state-of-the-art small models requires training massive models first
“The other thing about moving into larger models is that it enables you to train smaller models that are better, which is through variety of techniques like distillation or synthetic data generation. So this, these two things are quite related. If you want to m…”
Nov 9, 2023 positive
Arthur Mensch: Mistral Aims to Make AI Safer Through Openness and Scrutiny
“By doing what we do, by being much more open about the technology we create, we want to steer the community into a regime where things just work better, where things are safer because put under more scrutiny, and really our intention there is to, well, to take…”
Nov 9, 2023 neutral
Nov 9, 2023 positive
Nov 9, 2023 bullish
Nov 9, 2023 negative
Mensch: Closed-source AI wastes billions in duplicated compute
“We think that it's too early, and we think it's really, ah, damaging for the science, ah, to actually move into such an opaque regime, where you have A few companies basically doing the same thing, just not communicating about it spending billions of compute d…”
Nov 9, 2023 positive
Mensch: Base AI models should know everything, with guardrails added externally
“Assuming that the model should be well behaved is, I think, a wrong assumption. You need to make the assumption that the model should know everything. And then on top of that, have some modules that moderate and guardrail the model.”
Jan 11, 2024 negative
Jan 11, 2024
Mensch: AI base models should know everything and use modular guardrails
“Assuming that the model should be well behaved is, I think, a wrong assumption. You need to make the assumption that the model should know everything. And then on top of that, have some modules that moderate and guardrail the model.”