Chuanming

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Memory on Claude Managed Agents is now in public beta. Your agents can now learn from every session, using an intelligence-optimized memory layer that balances performance with flexibility.

New blog: Building agents that reach production systems with MCP. When should agents use direct APIs vs CLIs vs MCP? Plus patterns for building MCP servers, context-efficient clients and pairing MCP with skills. claude.com/blog/building-…

⚡ Meet Qwen3.6-35B-A3B：Now Open-Source！🚀🚀 A sparse MoE model, 35B total params, 3B active. Apache 2.0 license. 🔥 Agentic coding on par with models 10x its active size 📷 Strong multimodal perception and reasoning ability 🧠 Multimodal thinking + non-thinking modes Efficient. Powerful. Versatile. Try it now👇 Blog：qwen.ai/blog?id=qwen3.… Qwen Studio：chat.qwen.ai HuggingFace：huggingface.co/Qwen/Qwen3.6-3… ModelScope：modelscope.cn/models/Qwen/Qw… API（‘Qwen3.6-Flash’ on Model Studio）：Coming soon～ Stay tuned

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Gemini can now transform your questions and complex concepts into customizable interactive visualizations directly in your chat. Adjust variables, rotate 3D models, and explore data for a more immersive way to learn and explore in Gemini.

We love seeing what you build with Gemma! 🚀 Like this incredible community project that helps you fine-tune Gemma 4 with audio, text, and images on Apple silicon. 🧵👇

Capture your space. Create worlds. Use Marble 1.1 to reconstruct real-world locations from a few images, then restyle them however you want. Go from a real place to a custom persistent 3D world in minutes.

Experience the magic of our Moon mission wherever you go! ✨ Download free, mobile wallpapers and bring your device into the new era of exploration: go.nasa.gov/4bYzen1

Introducing the Manim skill for Hermes Agent. Manim is an engine for creating precise programmatic animations for mathematical and technical explainers, made famous by the @3blue1brown channel.

This view just hits different 🌍 @Astro_Christina and @astro_reid take a moment to look back at Earth as they continue deep into space toward the Moon.

History in the making In this new image from our @NASAArtemis II crew, you can see Orientale basin on the right edge of the lunar disk. This mission marks the first time the entire basin has been seen with human eyes.

Meet Gemma 4! Purpose-built for advanced reasoning and agentic workflows on the hardware you own, and released under an Apache 2.0 license. We listened to invaluable community feedback in developing these models. Here is what makes Gemma 4 our most capable open models yet: 👇

If you have a Thunderbolt or USB4 eGPU and a Mac, today is the day you've been waiting for! Apple finally approved our driver for both AMD and NVIDIA. It's so easy to install now a Qwen could do it, then it can run that Qwen...

🚀 LongCat-AudioDiT is here — SOTA diffusion TTS built directly in waveform latent space. Key Highlights: ✦ Non-autoregressive diffusion-based TTS that directly operates in waveform latent space to reduce compounding errors. ✦ Simple but powerful Wav-VAE + Diffusion pipeline that achieves SOTA voice cloning performance (0.818/0.797 SIM score on Seed-ZH/Seed-Hard) and competitive intelligibility among all models (open and closed-source). ✦ Available in 1B / 3.5B, supporting high-fidelity, multilingual (ZH/EN) audio generation. ✨ Technical Innovations: ✦ By introducing the APG algorithm to replace CFG, AudioDiT improves the perceived naturalness and acoustic quality of synthesized audio. ✦ Resolves the long-standing and previously unsolved training-inference mismatch in diffusion-based TTS models. ✦ Systematic experiments reveal a non-intuitive relationship between latent space reconstruction quality and overall TTS performance: better VAE ≠ better TTS. 📄 Tech Report: github.com/meituan-longca… 🐙 GitHub: github.com/meituan-longca… 🤗 Hugging Face: huggingface.co/meituan-longca…

Read the technical reports on how @Kimi_Moonshot, @cursor_ai, and @trychroma train vertical agentic models with RL. Same underlying recipe, strong base model, train inside the production harness, outcome-based rewards. - Kimi K2.5 learns to spawn parallel sub-agents through RL. -Cursor uses the same production Harness (same tools, same prompts..) and leanrs self-summarization during RL. - Chroma's 20B retrieval model learns to prune its own context mid-search. Full write-up 👇

Introducing: Cohere Transcribe – a new state-of-the-art in open source speech recognition.

Optimus will be the biggest product ever made. A general-purpose humanoid robot that can do useful work at scale will change the economics of labor & manufacturing. Goal is to get Optimus to high-volume production as fast as possible. If you’re great at AI, engineering, or manufacturing & want to build this, join us! → tesla.com/careers/search…

Introducing ASMR. A new system for Agent memory We made a new SOTA agent memory system, scoring ~99% on LongMemEval! x.com/DhravyaShah/st…