google has finally done it this is very much a frontier model it was the second highest used model last week by our team they're in the race now

Google AI Pro plans now package premium Colab benefits, landing you A100s with 80GB VRAM (Ultra subs even unlock H100s 🔥). Here’s what that 80GB headroom unlocks directly in your browser: ✨ Run Gemma 4 31B in bf16 ✨ Full fine-tune up to Gemma 4 E4B in bf16 ✨ LoRA tune up to Gemma 4 26B A4B in bf16 ✨ QLoRA tune up to Gemma 4 31B in bf16

a weird inversion with LLMs is the models improve faster than the tinkerers when i see people with custom workflows and setups they're all addressing problems that don't exist anymore the person naively using vanilla codex is more likely to be experiencing state of the art

Gemini is Cooked but GCP is Cooking GCP YoY rev growth >100%, DeepMind's long term failure is Google Cloud's short term gain newsletter.semianalysis.com/…

Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.

We’re launching Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS ⚡️ Our most expressive audio models yet let you create custom voices across 100+ languages or pick from 2,000+ ready-to-use ones. You can direct back-and-forth conversations, guide the delivery line-by-line, and add natural cues like or an active listening interjection like |mhm| all while generating hours of consistent, glitch-free audio. Sounds pretty cool, right? So… how should you use them? — Gemini 3.8 Flash TTS: Need to design bespoke vocal personas from scratch and with line-by-line level control? This is the model! Built for high-fidelity creative production like gaming, immersive audiobooks, and podcasts. — Gemini 3.8 Flash-Lite TTS: Want the AI to automatically adjust its tone and pacing on the fly for near real-time voice agents? This is your engine! Built for cost-efficient scale, high-volume dubbing, and bulk audio creation.

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

One of the reasons I joined DeepMind was to be closer to @JeffDean and @Sanjay_Ghemawat. They inspire me. I never made it to MTV to meet them, but I'm happy for them. One more opportunity for them to write history, this time on an open-source stack 😁 newyorker.com/magazine/2018/…