Zoe

Introducing Composer 2.5, our most powerful model yet. It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions. For the next week, we’re doubling the included usage of the model.

Arthur Mensch answers to the french representatives: "our (mistral) models are capable of finding all the vulnerabilities found by mythos" "There are obviously people asking if they can buy us. We answer [no] because that's not our mission, and our mission is to be independent, [...] If you succeed, you don't get acquired. If you get acquired, in a way, you've failed" some numbers: > 1B R&D spend at Mistral this year > at Mistral 10% of salary mass is spent on tokens > estimates that 1 employee (in general, not at mistral) will consumes on average ~1kW in tokens per year, which is ~10k$ > 1GW datacenter is $50B capex over 5 years. you can expect to make 2x revenue. electricity captures ~10% of value. > revenue is 30% in France, rest of Europe is ~45%. public sector share is 20% with 10% in France. > a bit less than 30% of Mistral capital is held by US VCs > Mistral's goal is 1GW in 2029 > they train/will train bigger models internally and distill them to serve to customers > Mistral plays only a small part in the 35B investment (by MGX from UAE) in France, in the "campus AI" project announced at the AI summit earlier this year some of their current clusters: > 40MW in France > 25MW in Sweden > 80MW in France (next year) > they train models on "10s of MW", mention that they need the gpu to be collocated to train model > insists on the fact that EU/France advantage for building datacenters is nuclear power, which leads to less carbon footprint

We should federally tax Tokens at the Provider level. Not a lot. Less than 50c per million tokens. It will accomplish 4 things (at least ) 1. It will push the big AI players to optimize tokenization, caching , routing and localization Which will 2. Reduce energy usage. Saving them in energy costs more than what they paid in tax and reducing strain created by the growth in energy consumption Which will 3. Generate maybe 10 billion dollars a year to start, but over the next ten years could grow 30x to 100x Which will 4. Create a source of funding to pay down the federal debt or deploy, in response to the things AI brings that we don’t expect or don’t like At some point the models will pass it on to customers. Of course. That’s ok. Customers will have the ability to choose between providers. Or to do everything using open source models locally. Thoughts ?

The biggest gap in “Canadian Technology” is a strong philosophical back bone.

Starting today, you can run cloud agents inside fully configured development environments. Set them up the same way you'd set up a laptop for an engineer: cloned repos, installed dependencies, and toolchain credentials.