资讯流
AI / LLM / Agent / 编程 — 从研究源汇聚的动态与信号
实时
★ 值得深读
▎视频●●●○○
The Highest Loop — swyx
AI Engineer ↗
▎文章●●●●●
[AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment
Latent Space ↗
▎文章●●●●●
Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
Hugging Face Blog ↗
▎文章●●●●○
Sullivan & Cromwell brings legal expertise into agreement review
OpenAI Blog ↗
▎文章●●●○○
Staying Evergreen: How we automated secure access and repo hygiene in a shared org
GitHub Blog ↗
▎文章●●●○○
Muse Spark Open now available on AI Gateway
Vercel Blog ↗
▎视频●●●○○
I'm obsessed with Gemini 4 Argon: Here's why
Greg Isenberg ↗
▎文章●●●●○
Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
Hugging Face Blog ↗
▎文章●●●●○
The next developer interface is ambient intelligence
GitHub Blog ↗
▎文章●●●●○
Vercel Connect now supports Secure Compute
Vercel Blog ↗
▎视频●●●○○
From Punch Cards to AI Software Factories
Matthew Berman ↗
▎文章●●●○○
Chirp Pong
Simon Willison ↗
⚡ 实时速递
New paper from Stanford, Together AI, UIUC, and Meta introduces Hybrid Reasoning Agents. These AI models think mostly in a hidden internal way (faster and cheaper), and only use normal text when they need tools or give the final answer.r/LocalLLaMA↗cpu : reduce AVX2 tiled accumulators together by trivalik · Pull Request #30296 · ggml-org/llama.cppr/LocalLLaMA↗DeepSeek V4.1 Flash on 4x DGX Spark: my numbers vs Patrick Moorhead's results via Wccftech.r/LocalLLaMA↗Liquid AI Releases d1-ultra: A Multimodal Decision Model That Scores 65 on the AA Decision IndexMarkTechPost↗xerj-org/xerjGitHub Trending (daily, all langs)↗lightseekorg/tokenspeedGitHub Trending (daily, all langs)↗Drama3 in audio.cpp: Up to 5× faster than real time at full speed, or 2× real-time speed with < 8 GB of VRAM on an RTX 5090!r/LocalLLaMA↗DataInventor: open-source dataset generator on HF Spaces, now with a Visualize moder/LocalLLaMA↗Meta Releases Muse Spark Open: 816B Open-Weight MoE With 1M ContextMarkTechPost↗ALoDLM 8b looped diffusion language model: ~3x inference speed vs its base model qwen3-8b with better benchmark resultsr/LocalLLaMA↗Single shot response given by a simple model on a "potato" system.r/LocalLLaMA↗nvidia/Nemotron-3.5-Embed-1B-BF16 · Hugging Facer/LocalLLaMA↗model: add Muse Spark Open (text, vision and audio) by ServeurpersoCom · Pull Request #30616 · ggml-org/llama.cppr/LocalLLaMA↗**DeepSeek-V4-Flash-0731 on 4x Radeon AI PRO R9700 with affinity: the "refused" 4-card config works, ~79 tok/s on real cards**r/LocalLLaMA↗Craziest, strangest, funniest, and weirdest LLM fine tunes?r/LocalLLaMA↗Ternary Bonsai 2 Family: 2B, 4B, & 9B based on Qwen 3.5r/LocalLLaMA↗NVIDIA Releases Nemotron 3.5 Super VL, a 120B Open Multimodal Agent ModelMarkTechPost↗capy-flash: Qwen3.8-Flash-Next (125B MoE) in full NVFP4 on two 16 GB consumer GPUsr/LocalLLaMA↗anyone running good open weight models for development in 48GB, 64GB or 96GB of RAM?r/LocalLLaMA↗ibm-granite/granite-switch-4.1 30B/8Br/LocalLLaMA↗Qwen3.8FN vLLM vs. llama.cpp vs Ninfer6000r/LocalLLaMA↗Ternary Bonsai 2 (2B, 4B, and 9B) just released on Hugging Face. The 2B can run entirely locally in the browser at up to 500 tok/s on an M4 Max with custom WebGPU kernels.r/LocalLLaMA↗Meta launches an open-weight AI model that runs on MacsTechCrunch AI↗FP4 QAD quant of Qwen3.8-Flash-Next from Nvidiar/LocalLLaMA↗Amazon devices chief Panos Panay sees a future where AI devices replace the need to use appsTechCrunch AI↗Has Anyone Tried "neural-weight-compression", Lossless Entropy Compression for VRAM?r/LocalLLaMA↗I built a coding agent you can keep talking to while it buildsr/LocalLLaMA↗I turned a transformer into a game console that runs Pong, Tetris, Space Invaders and 116 more games.r/LocalLLaMA↗QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releasesr/LocalLLaMA↗Anthropic is letting METR researchers look under the hood with employee-level accessTechCrunch AI↗