Harikrishna

Apple has just unveiled the first Apple Intelligence coming in iOS 27: Now with Apple Intelligence, VoiceOver is more powerful than ever in helping users who are blind or have low vision explore their surroundings and onscreen images.

What is the best possible future? This question is much harder to answer than it may seem.

This new Grok menu is 🔥 who came up with this banger? Keep going!

You can now see distance traveled in FSD (Supervised) without an intervention!

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

ASS now 33% faster

We are improving the 0.5T Grok foundation model V8 (public version 4.3) every few days. The 1.5T V9 just finished training (incorrectly called pre-training) and is a major upgrade. Next, we are adding the Cursor data in supplemental training (others call this mid-training), then SFT and RL. About 3 or 4 weeks to release. This will be a banger.

DeepSeek-V4 Flash > GPT-5.5 🥳 But GLM-5.1: who are you🤯 Why this benchmark: it rewards methods that have truly stood the test of time and scale. MLS-Bench is especially interesting since it is not about squeezing a single dataset with hand-tuned tricks. It is about atomic, generalizable ML science improvements that can transfer across models, datasets, and tasks. That feels much closer to real research than leaderboard gaming.😇 Also, the benchmark is broad enough to cover 145 tasks across 12 categories, including RL, robotics, CV, optimization, MLsys, and trustworthy learning. In other words, this is the kind of eval where strong performance actually means something.

I can't help but feel personally burned by the Claude Code changes announced today. We put so much work into wrapping the (atrocious) Claude Agent SDK in T3 Code. It was the ONLY path they supported, so we made it work. It was hell. Now our users are getting their rate limits cut by 40x, despite us doing everything right. I listened to the Claude Code team. I had my issues with their direction, but I trusted them and took them at their word. I will never make that mistake again. Until we see significant change, it is safe to assume any statement from an Anthropic employee is a lie on a timer. The rug will be pulled, no matter how many promises are made beforehand.