Philipp Schmid@_philschmidGemma goes diffusion! DiffusionGemma with up to 1000+ tokens per second! 🌬️ - Built on Gemma 4 as a 26B MoE model. - 3.8B parameters during inference. - Generates text in 256-token blocks in parallel. - Fits within 18 GB VRAM limits when quantized. - Apache 2.0Opens with an observation
Philipp Schmid@_philschmidGemma 4 is here! 4⃣Our most capable, agentic open model, built on the same research as Gemini 3. ✨ Reasoning. Multimodal. Four sizes (2B to 31B). Base + Instruct. Released under Apache 2.0. Runs on your phone, laptop, or servers. 🧵↓Opens with an observation
Philipp Schmid@_philschmidWe just launched a Gemma 4 12B! Our first mid-sized model with native audio inputs. Gemma 4 12 B is a unified, encoder-free multimodal model. 🧠 vision and audio directly into the LLM. 💻 Just need 16GB of memory. 📊 Benchmark nearing 26B. 📄 Apache 2.0.Opens with an announcement
Philipp Schmid@_philschmidAI is going to be the same for everyone, but our mindset determines the outcome. The most valuable skill to learn is to care about how things work, to be curious and to be okay with failing and getting stuck. Great work and research from Anthropic in reminding us!Opens with an observation
Philipp Schmid@_philschmidGmail is entering the Gemini era with new features powered by Gemini 3. AI overviews in your inbox! - Ask natural language questions. - Generate personalized context-aware replies. - Advanced grammar, tone, and style checks. - AI Inbox highlights to-dos from important messages.Opens with an observation