We’re releasing Humanity’s Last Exam, a dataset with 3,000 questions developed with hundreds of subject matter experts to capture the human frontier of knowledge and reasoning. State-of-the-art AIs get <10% accuracy and are highly overconfident. @ai_risk @scaleai

We're thrilled to announce that we have raised $234M in the first close of our $300M Series B at a $1.5B valuation. @HCLTech and @BessemerVP have joined us in this round, alongside continued support from @khoslaventures and @peakxvpartners For countries and companies, sovereign control on the AI stack is no longer an optionality. Sarvam will be the partner of choice for this aspiration. The capital allows us to accelerate our momentum towards this full stack of models, compute, and deployments. A huge thank you to our customers, partners, investors, and the Sarvam team for your trust and belief in what we are building. We’re just getting started. Read more: sarvam.ai/announcing-series-…

Important post for metascience from @jddwor. He runs a simulation where AI accelerates some but not all fields, and progress requires combining discoveries across fields. He finds shifting resources into AI accelerated fields slows long-run progress. open.substack.com/pub/abunda…

everyone wants a hacking roadmap. the problem is that roadmaps don't create hackers. curiosity does. ctfs are changing, ai is everywhere, and the game looks very different now. how i'd start hacking in 2026: ni5arga.com/blog/posts/so-yo…

Open Source Manufacturing. Design global. Manufacture local. Starts with an open source BOM directory.

To train a GPT class 1T model from scratch - including failed runs, data acq clean rlhf, post-training, team/people will likely req $250M of compute on an aggressive 3-4mo schedule (i.e. more reserved GPUs), $500-600M all-in IF you do a dense one. MoE fp8 will cut costs by 1/10th depending on how many active params you have. If you want SOTA however, the budgets go significantly higher on test-time compute, post-training RL, and data/synthetic generations..and v. high on talent. Maybe $2-4B all-in. After that comes serving the model. The talent is key to get to SOTA/beat it - and then you have to ensure this is useful enough to have inference vol over time - for which the capital will come if there is usage / TAM. So this is not as much about raising $50-60B, or raising it all at once as the OP says - we are investors in mistral, sarvam, reflection and anthropic - and they all scaled capital over time as models got adoption, but the early bottleneck is more on talent GPUs at that scale where you can do interesting things.

the FUD on training economics in India is borderline harmful You don’t need multi billion clusters.. american open source leader has trained their 400B model by raising ~$50M (they have since then raised a bigger round) we should celebrate competence not jingoism

Today we drop Trinity-Large-Thinking. SOTA on Tau2-Airline, frontier-class on Tau2-Telecom, and the #2 model on PinchBench, right behind Opus. On BCFLv4, we're in the mix with the best. 26 people with under $50M raised and a ruthless pursuit of greatness. What this team just pulled off is nothing short of incredible. One hell of an accomplishment and I couldn't be more proud of Arcee. And we've got more to prove.

PM @narendramodi Sir we need an India AI Mission under you with @NandanNilekani as vice chair and others from the private sector and govt. to Help India tackle the AI Revolution. We are way behind and need a national mission to get going quickly. Existing govt programs are too slow, way too small to make any large impact. We need an annual 50000 cr fund for deep tech and AI, a 200,000 cr ELGS Guarantee Fund to build Hyper cloud, hardware and chips. @AshwiniVaishnaw @nsitharaman @PiyushGoyal @FinMinIndia @RBI We need a Very Large National Mission. @AmitShah @amitmalviya

India doesn't need to lead the world in building the most advanced AI models. But it must lead in ensuring benefits of AI are widely shared. @rvenk and I have an op-ed in The @EconomicTimes economictimes.indiatimes.com…

PM @narendramodi Sir we need an India AI Mission under you with @NandanNilekani as vice chair and others from the private sector and govt. to Help India tackle the AI Revolution. We are way behind and need a national mission to get going quickly. Existing govt programs are too slow, way too small to make any large impact. We need an annual 50000 cr fund for deep tech and AI, a 200,000 cr ELGS Guarantee Fund to build Hyper cloud, hardware and chips. @AshwiniVaishnaw @nsitharaman @PiyushGoyal @FinMinIndia @RBI We need a Very Large National Mission. @AmitShah @amitmalviya

Elon Musk in this 2012 interview: " My proceeds from PayPal after tax were about $180M, $100M of that went into SpaceX, $70M into Tesla, and $10M into SolarCity and I literally had to borrow money for rent." $SPCX $TSLA