Gemini 3.7 Flash smashed previous Gemini growth records in its first week, making it our fastest growing model yet. Great to see the huge excitement from our developer community! Now running in Search and @Geminiapp too.

Today we're launching Gemini 3.7 Flash - our latest workhorse model for coding and agentic workflows, with an introductory price at half the original cost of 3.6 Flash. ⚡️ We have been iterating rapidly with the Flash series, going from 3.5 to 3.7 in just 3 months, making it more helpful across a wide range of tasks: • Software Engineering (DeepSWE v1.1): 37.0% ➔ 65.3% • Web Development (Code Arena Elo): 1506 ➔ 1588 • Enterprise Automation (AutomationBench): 13.4% ➔ 30.4%

Launching @vorfluxai : The autopilot for software engineering. I was prev co-founder / CTO of @Rippling ($10B) and #1 coder in India. Vorflux is my high octane Ferrari. Every AI coding tool still makes you fly the plane. That's the copilot model: you stay in the seat, approving every turn. The models quietly got good enough to fly the whole route, but the tools never caught up. So we built the autopilot. @vorfluxai raised a $15M seed by @ycombinator @peakxvpartners @alliancedao @parkerconrad @jake_zeller @balajis @nivi @metakovan @lmrankhan @nikitabase @0xrwu @ayushjaiswal @mattshumer_ @eshamanideep @sreeramkannan @dvcoolster @nusimow @TeddySolomon11 @ashtoncofer @rvivek etc Drop your biggest engineering bottleneck below. I'll reply with how I'd attack it with Vorflux, and hand you $200 in free credits to bang out your backlog. Our full thesis 🧵👇

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SV is more like the best factory that converts innovation to great real-world impact. creating top-down structure around innovation feels very hard and the best innovative ideas still come from everywhere (incl SV)!

The secret behind Gemini 3? Simple: Improving pre-training & post-training 🤯 Pre-training: Contra the popular belief that scaling is over—which we discussed in our NeurIPS '25 talk with @ilyasut and @quocleix—the team delivered a drastic jump. The delta between 2.5 and 3.0 is as big as we've ever seen. No walls in sight! Post-training: Still a total greenfield. There's lots of room for algorithmic progress and improvement, and 3.0 hasn't been an exception, thanks to our stellar team. Congratulations to the whole team 💙💙💙

Today we are rolling out our first Gemini Embedding model, which ranks #1 on the MTEB leaderboard, as a generally available stable model. It is priced at $0.15 per million tokens and ready for at scale production use!

amazing multimodality performance (& more) !! storage.googleapis.com/deepm…

TPU -> XLA -> JAX -> Transformer, MoE, Chinchilla, AlphaGo, .... -> Gemini, Veo, .... -> Search, YouTube, Waymo, ... -> Chrome, Android, .... 🤯🤯🤯

thrilled to be back @Google in the @GoogleDeepMind team! The technical breadth and expertise across the whole stack (hardware->infra->deep learning->products) is truly mind-blowing. Great to see a lot of familiar faces and meet new friends. Look forward to learning a lot!

Announcing a new generation of embedding models: • text-embedding-3-small: 5x cheaper and stronger performance compared to the previous generation • text-embedding-3-large: our best performing model, creating embeddings with up to 3072 dimensions openai.com/blog/new-embeddin…

Saturday project: I built a semantic search tool for my second brain notetaking system using OpenAI's embeddings API. Quite pleased with the outcome

OpenAI Embeddings helps you go beyond keyword search!