开源

分析称开发者因政治方向和技术问题（如宕机）从 GitHub 迁移至 Codeberg 或自托管，虽规模尚小但趋势渐进。

pgrust 项目用 Rust 重写 Postgres，通过全部 46,000+ 回归测试，磁盘兼容 Postgres 18.3，但尚未生产就绪。

💬 评论普遍质疑用Rust重写Postgres的实际价值，认为测试通过不等于生产可靠，但也有人认为这是有趣的学习项目。

<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-meta-ai/releases/tag/0.1">llm-meta-ai 0.1</a></p> <p>Let's LLM run prompts against the new <a href="https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/">muse-spark-1.1</a> model.</p> <p>Tags: <a href="https://simonwillison.net/tags/llm">llm</a>, <a href="https://simonwillison.net/tags/meta">meta</a></p>

蚂蚁灵波开源全球首个具身专属 MoE 视频模型 LingBot-Video，30B 参数推理时仅激活 3B，学习 7 万小时具身数据。

蚂蚁灵波开源 LingBot-World 2.0 实时交互世界模型，支持小时级生成、720p/60fps 输出及 Agent 机制。

Tomesphere Atlas 映射 850 万篇研究论文为交互式图谱，方便按领域、引用和时间浏览。

TLDR: 75B-total / 9B-active MoE is the perfect shape for multi-24GB rigs, and almost nobody ships it. Qwen 27B is a great model and punches way above its weight-class, it is a frequent fallback for me. Nemotron-3-Puzzle-75B-A9B, NVFP4, vLLM 0.22.1 (the new Marlin fallbacks run FP4 on Ampere), pipeline-parallel across 3×3090 capped at 200W each. The 4th card runs a speech sidecar untouched - 3 seats × 256K ctx, fp8 KV — hybrid Mamba keeps the cache tiny - 132 t/s decode across 3 streams (~65 sing

I came across this on Hacker News and felt like I needed to share it with the dev community. The main point is simple: a lot of teams reach for extra databases, queues, search engines, caches, and services before they actually need them. This page lays out where Postgres is usually enough, and where you may actually need something else: https://postgresisenough.dev/ Postgres is not perfect for everything, but it is good enough for a surprising amount of real-world work. The more I build and main

Update (07/09/2026): Just pushed a performance optimization. Updating a single shared module improved performance across 13 models by up to 40%! The released ASR models get a 10%+ performance boost. Check https://github.com/0xShug0/audio.cpp/blob/release-0.2/docs/depthwise_conv1d_performance.md I just pushed a new audio.cpp update with streaming support and 4 ASR/STT models: Nemotron 3.5 ASR, Higgs Audio STT, VibeVoice ASR, and Hviske ASR (da only). Overall 1.07x to 2.41x faster than Python. I d

Zig 创始人发文批评 Bun 的 Rust 重写，认为缺乏技术深度；社区观点分裂：有人视为人身攻击，有人认可其直率。

💬 评论区主要共识是：该文章本质是对Jarred的人身攻击而非技术分析，但也有人认为这种直率批评在行业中必要。

<p><strong><a href="https://ai.meta.com/blog/introducing-muse-spark-meta-model-api/">Introducing Muse Spark 1.1</a></strong></p> Following <a href="https://simonwillison.net/2026/Apr/8/muse-spark/">Muse Spark in April</a>, here's Muse Spark 1.1 - the first Spark model to offer an API. Meta claim significant improvements in agentic tool calling and computer use.</p> <p>There are a lot more details are in the <a href="https://ai.meta.com/static-resource/muse-spark-1-1-evaluation-report">Muse Spark

LLM 命令行工具发布 0.31.1，修复了调用工具时空参数导致 JSON 错误的 bug。

MOSS-Transcribe-Diarize 0.9B is an end-to-end audio understanding model for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness. Given an audio or video file, the model generates a compact speaker-aware transcript in one pass, including timestamps and anonymous speaker labels such as [S01] , [S02] , and beyond. Introduction MOSS-Transcribe-Diarize 0.9B turns real-world long-form audio into structured, speaker-aware transcripts in one pass. Instead of stit

Colibrì 项目让 744B 参数 MoE 模型 GLM-5.2 在仅 25GB RAM 的消费级机器上通过流式专家加载运行。

https://artificialanalysis.ai/evaluations/artificial-analysis-openness-index In case you want to support openness, some models are more open than others. Update: K2 think v2 is rated highest because it supplies its training data and training regimen. This allows anyone with enough resources to recreate the model. Deep seek doesn't publish how it trained its model or the training data, so it gets a lower score. If we try to compare software to LLMs. One level of software is that they supply the b

We've been building Stratos and just open-sourced it under AGPL-3.0. It's the layer that turns a raw OpenStack cloud into something you can hand to users and actually bill for. The gap it fills OpenStack already meters usage (Ceilometer/Gnocchi) and can even rate it (CloudKitty). But CloudKitty deliberately stops at "what would this cost" - no invoices, no payments, no taxes, no promotions, no customer-facing portal. So most operators bolt their own thing on top or pay for a closed-source produc

Hello everyone! Pangolin 1.20 is focused on how people find and reach their resources in the UI. Here's what's new: Pangolin is an open-source, identity-based remote access platform that lets you securely expose your infrastructure to your team. It supports browser based remote access and a remote access VPN in one platform with strong authentication controls. GitHub: https://github.com/fosrl/pangolin Resource Launcher The landing page non-admins see when they sign in now is vastly more capable.