Remotion now has interactivity. Select items on the canvas and manipulate them - all changes save back to code.

After my agent testing, seems like Kimi-K2.7 is better than Opus-4.8. It is closer to Fable level. My recent impression : Fable > Kimi-2.7 > Opus-4.8 = GLM-5.2 > GPT5.5 > Minimax-M3

The Rio 3.5 model broke the internet this week. The plot twist? It’s essentially our open-source model, Nex N2 Pro, wearing a different hat. 🤯 We analyzed the weights, and the recipe is exact: Rio 3.5 ≈ 0.6 * Nex N2 Pro 0.4 * Qwen 3.5 It even literally introduces itself as "Nex N2 Pro" if you ask it without initial system prompt! 😂 We are flattered that the City of Rio used our work to achieve SOTA performance. Thanks for the ultimate benchmark validation. 🤝 But in the open-source world, attribution matters. 👇 Full mathematical proof & verify script in the first reply!

OpenFable is coming and will be open source . made using OpenClaude powered by GPT 5.5 lmao

You can now run Kimi K2.7 Code locally! 🌘 We shrank the 1T model to 325GB (-48%) via Dynamic 2-bit where important layers are upcasted. Run at >40 tok/s on 330GB RAM/VRAM setups. Run full precision on 610 GB. Guide: unsloth.ai/docs/models/kimi-… GGUF: huggingface.co/unsloth/Kimi-…

NVIDIAの人間3Dモデル「SOMA-X v0.2」が公開。 1つの骨組みであらゆる体型を表現でき、ロボットや物理AIに最適。 関節のねじれ補正による自然な変形、骨の自動スケール、高度な姿勢反転、超軽量データを備えてます。 Apache 2.0でオープンソース化されてます。（詳細はリプ欄）

Over the past few months, we've launched Mistral Small 4, Medium 3.5, Voxtral STT, Voxtral TTS, and expanded Vibe to handle long-running, multi-step agentic workflows across work and code. The team has been pushing hard, and I'm incredibly proud. Stay tuned! Exciting releases coming soon!

🌘 Meet Kimi K2.7 Code HighSpeed! A high-speed mode of our latest open-source multimodal coding model, Kimi K2.7 Code. ⚡️ Up to 6× faster: Around 180 tok/s on coding tasks with median-length inputs, and up to 260 tok/s on shorter-context tasks. 🔷 Rolling out to Kimi Code Beta Program members, Kimi API developers, and Kimi Business users. (Access will remain limited for now due to capacity constraints.) 🔷 No invite needed. Anyone who joins the Beta Program has a chance to get access 👉 kimi.com/code/beta Open intelligence should be instant, affordable, and borderless. We'll continue improving the model and expanding access as more capacity becomes available! 🔗 Kimi Code: kimi.com/code 🔗 API: platform.kimi.ai/

Kimi 2.7 ranked 2nd after Fable 5 and before GPT-5 xhigh We have re-run our ErdosBench smoke test on 14 problems with Kimi 2.7, Qwen 3.7 Max, Grok 4.3 and compared it with the top performers from previous runs. Kimi 2.7 is amazingly good. More below.

Mythos and fable ban is just publicity stunt for upcoming anthropic ipo. Just to show how anthropic models are powerful.

I basically never write my own /goal anymore. I ask Codex to write one for itself, and one for each agent it spawns. Like this 👇

Introducing Adaline 2.0 - The Agent Self-Improvement Layer Adaline turns Traces into Behaviors, Behaviors surface Issues, Issues become auto-generated Evals Data, Adaline then generates new agent candidates and tests them. You review the winners and ship!

Tencent just open-sourced Hy-Memory. A memory plugin that gives Al agents real long-term memory using a 6-layer framework with dual reasoning. → System1: fast pattern matching for instant recall → System2: deep reasoning for complex memory retrieval → 35% reduction in token usage → 70% less memory bloat over time Most agents forget everything between sessions. This fixes that. Works for long-running collaborative Al agents that need persistent context. 100% Open Source.

56,000 tokens/sec at just 80 MHz. 🤯 I burned a full Transformer with KV cache into a custom chip. Designed gate by gate as a 100% digital integrated circuit. Prototyped on a FPGA. (No GPU. No CPU) Just pure digital silicon running @karpathy microGPT, spelling out names on a tiny LCD. This is GateGPT 👇

asked claude fable 5 to design a 16dof articulated robot hand it also wrote a robot description file (urdf) for the hand ~ 1 hour / 300k tokens

Really excited to open source a new project: Omnigent, a meta-harness for AI agents. It lets you build multi-agent coding and custom agents, sitting above Claude Code, Codex, Pi, and agent SDKs to let you compose them. It also adds live collaboration and rich control policies.

We now support rich formatting for all chatbots. Tables, nested lists, inline media, formulas, headers and more — right in Telegram messages. 🔨 Start building! Docs: core.telegram.org/bots/api#r…

MiniMax M3 can now be run locally!🔥 MiniMax-M3 is a new 428B (23B active) open model with 1M context that performs on par with Gemini 3.1 Pro. Run Dynamic 2-bit GGUF on 138GB RAM/VRAM or 3-bit on 165GB. GGUF: huggingface.co/unsloth/MiniM… Guide: unsloth.ai/docs/models/minim…

Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

Every screen in this React Native app is streamed from the server as React Server Components (Flight / text/x-component). The Activity tab is a separate federated module loaded at runtime — and its Server Actions POST back to its own server. RSC Module Federation on mobile. Built on Re.Pack @callstackio @repack_rn @reactnavigation @rspack_dev #react #reactnative