Franz

draw.io diagrams now stream into Claude as they're generated. Shape by shape, edge by edge. github.com/jgraph/drawio-…

You really don’t need to worry about prompts. Just start from talking, from an idea, dive deep, until you feel it is almost there, let your agent create golden prompt for implementation. Then start new session, copy that prompt.

Qwen3.5 0.8B running real-time video captioning on a Mac Studio M2 Ultra. <1s per frame. 269 frames from a 3m49s video. Streaming descriptions as it plays. Pause anywhere, it actually understands the scene. ~1GB model. Local AI is getting unreasonably capable. Video credit: @stevibe

Now you can use AI agents to design directly on the Figma canvas, with our new use_figma MCP tool and skills to teach them. Open beta starts today.

You can now train Qwen3.5 with RL in our free notebook! You just need 8GB VRAM to RL Qwen3.5-2B locally! Qwen3.5 will learn to solve math problems autonomously via vision GRPO. RL Guide: unsloth.ai/docs/get-start… GitHub: github.com/unslothai/unsl… Qwen3-4B: colab.research.google.com/github/unsloth…

we're testing a new version of /init based on your feedback- it should interview you and help setup skills, hooks, etc. you can enable it with this env_var flag: CLAUDE_CODE_NEW_INIT=1 claude would love your feedback!

Wow, RISC-V is really gaining traction again. Alibaba just announced the Xuantie C950…which is basically claiming Apple M1 (ish) levels of performance. I don’t see a lot of people talking about it! (2.6/Ghz SPECint2017, Apple M1 P-core also around ~2.6)

We’re introducing Dynamic Workers, which allow you to execute AI-generated code in secure, lightweight isolates. This approach is 100 times faster than traditional containers. cfl.re/4c2NvPl

Today @Arm announces its AGI CPU at its event. ➡️ 136 Arm Neoverse V3 Cores ➡️ Up to 3.7 GHz, 300W, TSMC N3(P?) ➡️ 2MB Private L2 Per Core ➡️ 96 x PCIe 6.0 with CXL 3.0 Support ➡️ Up to DDR5-8800, 6 TB/sec BW/core ➡️ 8160 cores per air cooled 36 kW OCP V3 Rack ➡️ Two chiplets inside ➡️ Date code 2613 on chip (ie, this week)

Claude Max is worthy. and it’s also worthy another CEO😕

Tensor Core Unit (TCU) at home arxiv.org/abs/2408.12073

🚨 Anthropic 刚放出一门免费的 2 小时 Claude Code 大师课 不是概念课， 是真教你怎么用 AI 写代码、跑自动化、做项目。 如果你想把 AI 真正接进开发流程， 这门课非常值得收藏。 🔗 anthropic.skilljar.com/claude-code-in…

Builds production-ready AI agents with streaming github.com/vstorm-co/full…

Introducing Unsloth Studio ✨ A new open-source web UI to train and run LLMs. • Run models locally on Mac, Windows, Linux • Train 500+ models 2x faster with 70% less VRAM • Supports GGUF, vision, audio, embedding models • Auto-create datasets from PDF, CSV, DOCX • Self-healing tool calling and code execution • Compare models side by side + export to GGUF GitHub: github.com/unslothai/unsl… Blog and Guide: unsloth.ai/docs/new/studio Available now on Hugging Face, NVIDIA, Docker and Colab.

@GothicOrnate Super like it if it’s a real game!

Seedance 2.0踩着滑板打怪兽

In this paper is presented CVA6-CFI, the first design, integration, and evaluation of the standard RISC-V extensions for Control-Flow Integrity, introducing 2 independent hardware units implementing backward-edge and forward-edge control-flow protection. arxiv.org/pdf/2602.04991

Announcing our latest open medical AI models for developers: MedGemma 1.5, which is small enough to run offline & improves performance on 3D imaging (CT & MRI), & MedASR, a speech-to-text model for medical dictation. Both available on Hugging Face + Vertex AI. goo.gle/3L9oiII #MedGemma #HealthAI #GenerativeAI