Introducing S1-mini ✨ Our first open-weights language model. A 0.6B parameter model that processes transcripts entirely on your device. Try it in app today. https://t.co/dzw9JXKJqi

Introducing Agentic Video in the Gemini API, a new way to process long videos which reduces token consumption by up to 88% while also increasing quality. This can be controlled easily in the API on a per video basis, available with our newest models like 3.7 Flash! https://t.co/JrIqn4bZic

Muse Voice Transcribe is MSL's first real-time audio perception model -- rolling out today. SOTA in streaming speech-to-text, it handles speaker diarization, and endpointing natively in a single model. https://t.co/LViMDSkbim

MacやローカルLLMに興味がある人ほど、Hermes Agentは勉強したほうがいい。 ChatGPTやClaudeは、モデル単体じゃない。 メモリ、ツール、スキルなどの「ハーネス」込み込みのサービス。 ローカルLLMは違う。 LlamaやQwenを落としても、そこにあるのは「頭脳」だけ。 そこにHermes Agentを重ねる。 LLMが考える。Hermesが動く。調べる。覚える。ツールを使う。ファイルを触る。コマンドを実行する。 「考える頭脳」に「動ける身体」を与える。 これがAIエージェント。 だから比較するなら「Qwen vs Fable」だけじゃない。 「Qwen + Hermes」対「Fable + Claudeアプリ」のように、ハーネス込みで考える。 チャットや要約だけならLM Studioで十分。 でも、モデルを「働くエージェント」にしたいなら、Hermes Agentは欲しくなる。 モデルはいずれ差し替わる。 残るのは、自分で持つハーネス。 Hermes Agentは、無料で使えるエージェントハーネスとしてかなり強いと思う。

Introducing Unreal MCP in UEFN. With Unreal MCP, you can connect agentic coding tools like Claude Code, Codex, or Cursor directly to UEFN, opening up new ways to build your experiences in the editor, from writing Verse and configuring devices to working with Scene Graph. Learn more: https://t.co/43PK3uGLiV Here’s a look at what you can do 🧵👇

LightGlue ONNX ONNX-compatible LightGlue: Local Feature Matching at Light Speed. Supports TensorRT, OpenVINO https://t.co/Q1vDiknqVP Open Neural Network Exchange (ONNX) compatible implementation of LightGlue: Local Feature Matching at Light Speed. The ONNX model format allows for interoperability across different platforms with support for multiple execution providers, and removes Python-specific dependencies such as PyTorch. Supports TensorRT and OpenVINO.

I have no idea what they feed @vmg but this is an unbelievable read. One of the best systems posts I’ve read. Ever. With coding being automated this is the sort of architectural clarity we need.

On showing an early demo of Portable Computer on DGX Spark to Jensen, he was kind to gift us a DGX Station, a beast of a local computer that can serve even frontier models like GLM 5.3. Unmetered frontier intelligence running on your own local hardware coming soon! https://t.co/HA16eiABnq

AI did not suddenly discover a cancer vaccine. That is engagement bait. Moderna and Merck reported positive Phase 3 results for Intismeran plus Keytruda in 1,137 melanoma patients after surgery. This is a real and important scientific result. But the vaccine entered human trials in 2017, and Moderna was already using internal bioinformatics algorithms to select each patient’s tumor targets. AI helps analyze mutations and choose up to 34 neoantigens for the personalized treatment. It did not independently invent the vaccine or cure cancer. The full Phase 3 numbers have not been released. Overall survival is still unknown. The treatment is not approved, not a universal cancer vaccine and was tested with Keytruda, not alone. BioNTech, Roche, NEC, Transgene and Evaxion have used similar computational or machine learning approaches for years. This is a breakthrough in genomics, immunology, mRNA, manufacturing and clinical science. Rebranding all of that as “AI discovered a cancer vaccine today” is pure AI hype.

AI did not suddenly discover a cancer vaccine. That is engagement bait. Moderna and Merck reported positive Phase 3 results for Intismeran plus Keytruda in 1,137 melanoma patients after surgery. This is a real and important scientific result. But the vaccine entered human trials in 2017, and Moderna was already using internal bioinformatics algorithms to select each patient’s tumor targets. AI helps analyze mutations and choose up to 34 neoantigens for the personalized treatment. It did not independently invent the vaccine or cure cancer. The full Phase 3 numbers have not been released. Overall survival is still unknown. The treatment is not approved, not a universal cancer vaccine and was tested with Keytruda, not alone. BioNTech, Roche, NEC, Transgene and Evaxion have used similar computational or machine learning approaches for years. This is a breakthrough in genomics, immunology, mRNA, manufacturing and clinical science. Rebranding all of that as “AI discovered a cancer vaccine today” is pure AI hype.