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2026-08-25 火

Qwen3.8-27B is amazing, but it’s slow. A stronger 35B-A3B Mixture of Experts-coder that can run and solve real codebase issues fast (even on constrained hardware) is a valuable addition to the arsenal. This one is the strongest and most consistent 35B-A3B I’ve benchmarked, on both correctness and speed, in addition to being the fastest to fix out of all the 35B-A3B models when you throw them at real codebases. On top of Ornith-1.5’s fine tune, TielCoder uses a code-weighted imatrix for dynamic q

In this tutorial, we explore a LabPlot-inspired scientific data analysis workflow in Python while preserving the structure and terminology of LabPlot’s aspect tree, analysis kernels, plotting system, and project model. We build reusable components to import tabular data, compute descriptive statistics, smooth and differentiate signals, perform Fourier analysis and filtering, detect peaks, integrate curves, reduce […] The post Scientific Data Analysis with LabPlot in Python: Signal Processing, Sp

GrapheneOS, an open source version of Android that prioritizes security and privacy, has detailed its plans for supporting Motorola smartphones. Official support is set to arrive next year, starting with traditional flagships, before rolling out to Motorola's foldable phones and perhaps cheaper models, eventually. In a Mastodon thread, the GrapheneOS Foundation announced that it will […]

2026-08-24 月

Qwen 3.8 27B is great, however it takes me ages to do tasks on xhigh. I need Qwen 3.8 35B A3B. It'll be a little dumber but faster. I am also aware of the fact that 27B gets its "intelligence" from the long thinking time. I therefore assume that 35B would also be a long-thinking model, however running Qwen 3.8 27B over night on my M1 Max for just one task is impractical and no fun. I love the progress and the work of alibaba with 27B but... yeah I sadly don't own a faster RTX. What are you guys

it’s powerful and quiet. I run all of my services on it. Specs: AMD Ryzen 7 7840, 32 GB of RAM, 2 TB SSD. idle power consumption is about 5 watts. Additionally, it’s very tiny. I’ve taken it with me to 4 countries in recent years.

Wrote a bit about the `unlikely` and `likely` macros in the Linux codebase. Great little exploration into tiny optimizations that everyone should know more about 😄

2026-08-23 日

多数评论认为MCP过度复杂,应简化基于HTTP,但也有人认为其演进方向合理。

While studying Geometric Algebra I have built some interactive visualization to demonstrate how geometric transformations (rotation, scaling, translation) can be constructed by just composing reflections. Accepting reflection as the most elementary geometric operation was an eye opening moment for me. I think some of you might enjoy the interactive visuals. Comments URL: Points: 51 # Comments: 9

Libredesk is a self-hosted customer support desk for email and live chat. It's fully open source under AGPL, with no paid tier or separate enterprise build, No feature paywalls. Features: Email inbox and live chat widget, with both landing in the same agent inbox. Help center with collections, articles, search, and per-language content. Autonomous AI agent that answers from your knowledge base and hands off to a human when it can't answer. Agent copilot for drafting replies, summarizing conversa

Certain logos started standing out to me on LinkedIn as brighter/whiter than everything else around them. I dug in and found out this is accomplished by adding a gain-map to an existing JPEG, visible only on HDR screens like a newer MacBook Pro. LinkedIn is the only social network I've found that isn't stripping them out, but of course you serve them up on your own site. I worked with Claude Code to turn it into a little browser-based utility (no registration) and hope you find it useful! Commen

2026-08-22 土

Hi HN- I'm Pablo, the founder of Proliferate (YC S25)! Proliferate ( ) is an open-source, self-hostable AI IDE that lets you work and automate tasks with Claude Code, Codex, OpenCode, Cursor, and Grok in one place. Here's a quick 2m demo of how we use Proliferate to build Proliferate: I started building Proliferate after my team onboarded to OpenAI Codex. Within days, we were using it for everything: using computer use instead of navigating websites ourselves, having Codex coordinate other agent

llm 0.32.1Simon Willison1 min開発ツールOSS

llm 0.32.1 修复因 OpenAI Python 库弃用 httpx 导致的新安装故障,0.33 将切换到 httpx2。

The DeepSeek adapter adds the multimodal visual understanding model DeepSeek-V4-Flash-Vision-Exp. It also supports configuring native image requests. Commands such as /goal and /plan can accept text and image input, and the @ menu can reference files and sessions; MCP/ACP also supports persistent image attachments, and PTC Mode supports forwarding nested images.

This post inspired me to make that test after a year ;) That is one of my many tests I make comparing output quality. What is more interesting using a PI Agent results are much better than an Opencode using a Qwen 3.8 27b ?! Seems PI Agent is much better in the agent environment somehow... Not counting uses less tokens , do not have a hard limit of 32k output tokens, is faster, do not freezing, compressing context far less than Opencode. For instance if you have context in the Opencode output 32

I have been using omarchy on my tower since nearly a year now, shortly after it was released first. I really love the experience I am having with it but I still use my macbook for daly work, so I wanted to recreate a similar experience on it. Thats why I created omacosy, a setup for tiling windows, custom menu bar, some themes from omarchy, focus follows mouse, focus rings around windwos, some mac flavors with trackpad events and a custom mission control overview for your workspaces. I used Aero

2026-08-21 金

I've been working on a depth pruning approach and decided to try it out on the new Qwen3.8-27B model. I managed to get the model down to about 22.7B params without severe reasoning degradation. No fine-tuning was done, just strategic removal of layers. It's been working well for my use cases in coding, agentic use, and multi-turn chats, so I figured I'd shared it with the community. I have not run benchmarks so I'm not going to claim this model is better than anything else out there. It's just a

评论区普遍认可Bun 1.4的Rust重写是AI辅助开发的重大成功,但也有人认为其功能膨胀、兼容性及AI依赖引发争议。

Quoting Jeremy MorrellSimon Willison1 minAIOSS

My hypothesis is that there is a new opportunity for Extensible Software on the web . LLMs radically lower the cost of authoring extensions, and modern sandbox primitives lower the deployment cost and provide good security boundaries. We can build our app as a solid, accountable core, and allow users to safely extend it in many directions by having LLMs fill in the missing pieces. We can give our users super powers. — Jeremy Morrell , Extensible Software in the age of LLMs Tags: sandboxing , llm

Hey everyone, Posted TinySearch here a few versions ago and got a bunch of useful feedback, so figured I'd post an update because the thing has changed quite a bit since then. Repo: [ The basic idea is still the same: TinySearch is a small self-hosted MCP/FastAPI tool that searches the web, reads the pages worth reading, and locally selects the useful parts before they ever hit your model's context window. No LLM doing the filtering/summarization in the middle. It's BM25 + local ONNX embeddings,

I just started my self-hosting journey in April after I got tired of my Xfinity modem. I ran what feels like miles of Cat 6, built a rack, bought the PCs and domain, etc etc and now I feel super accomplished. I knew practically nothing about all this back in March. Possibly the most fun I’ve had is building this simple little homepage dashboard to give everything a face. I stole lots of inspiration from everyone here. It now serves as a true homepage with all the frequent sites and services I ev

2026-08-20 木

Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies. It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks: ✅Terminal-Bench 2.1 (86.1) ✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual) ✅DeepSWE (56) ✅HLE (44.6) ✅ClawEval (81.4) ✅Tool Decathlon (71.2)

《PostgreSQL for Everything》主张 Postgres 作为通用默认数据库,评论区认可其地位但也指出队列、分析等场景的局限。

多数人认可PostgreSQL作为通用默认选择,但也有人认为SQLite或MySQL更简单,且PostgreSQL在队列、分析等场景有局限。

None has undergone post-training, giving researchers flexible starting points for continued pre-training, fine-tuning, and further research. Two key highlights: - They use WSM to replace LR decay with weighted checkpoint merging, making the training process better suited for continual pre-training while enabling offline exploration of different LR decay strategies. - With one shared training recipe, the community can validate strategies on tiny-base, then scale them to flash-base. #1- Ling-3.0-t

Good day! Over a year ago, I made a post here about Meelo, which had received a lot of positive attention. A few things have changed since, and I thought a lil' update wouldn't hurt :) Meelo is a self-hosted music server, that focuses on UI and metadata integration. It supports duplicates, songs grouping (remixes, instrumentals, etc.), album types (studio, live, compilations, etc.), Music Videos, and other cool stuff. Since my last post (around v3.1.0), new features were added: Meelo now has a c

OpenLogi 是 Rust 编写的 Logitech Options+ 本地优先替代品,通过 HID++ 直接驱动鼠标,无账号无遥测。

用户普遍认可开源替代Logitech官方软件的价值,但批评网站AI生成内容明显,且存在兼容性和稳定性问题。

2026-08-19 水

Mojo🔥 is now open source Mojo🔥 is now open source The Mojo programming language has been promising an open source release since May 2023 . Last week they shipped their 1.0 and today they have followed through on that original promise, releasing the compiler and toolchain under an Apache 2 license. When Mojo first launched the stated goal was to produce a superset of Python, so existing Python code could be used to bootstrap their own ecosystem. That plan changed around August 2025 : Mojo may or

Overview UI-Mate-27B is an open-weight foundation GUI agent for long-horizon work across applications and operating systems. It observes live screenshots, reasons over the visible state, and produces structured keyboard and mouse actions for native desktop interaction. UI-Mate supports two complementary modes: General computer use: execute tasks from natural-language instructions and live screenshots. Demonstration-guided computer use: adapt a reusable workflow extracted from one successful demo

Nous Research has shipped Bot Mode for Hermes Agent, its MIT-licensed open source agent. Bot Mode replaces the single-agent session list with a roster of named bots. Each bot is a real Hermes profile, with its own chat, memory, skills, and pinned model. It is now bundled and default-on in Hermes Desktop. The post Nous Research Ships Bot Mode for Hermes Agent, Turning Agent Profiles Into a Roster of Named Bots appeared first on MarkTechPost .

You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1.4k problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell! Comments UR

Acadia 重新思考数据库编程,引入精确类型与可验证迁移,评论区认可设计但担忧许可限制。

评论区普遍认可其设计理念与功能亮点,但也有人认为它不过是SQL替代品或ORM,且许可限制令人担忧。

Qwen released the 2.4T Max weights and I was curious how well it can re-create COD in one prompt I ran the model on a rented B200 cluster and used roughly 1.1M output tokens over a 5 hour time span Realistically barely anyone can run this model locally, but the fact that it's open weights unlocks a lot of opportunities for the local AI community even regarding quantization options that might bring us closer to running frontier level intelligence on consumer-ish hardware For consumer hardware the

This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-source three pieces of software that we expect to accelerate research in the field towards meaningful real-world impact. We aim to steer further development based on feedback from, and in collaboration with, the community. Given the early stage of development, our α-release targets researchers and early-adopting practitioners. Over the past years, a variety of datasets and tasks for re

A few days ago I had the slightly ridiculous idea of building a mobile homelab inside my everyday backpack. Today I started looking through some old hardware I had lying around and realized: I can actually build this. And I barely need to buy anything. 😂 The main machine is an old ASUS TUF Gaming F15 that I bought from a friend for €300 and barely used: Intel Core i5-10300H 64 GB RAM GTX 1650 2.5 TB SSD storage across three physical drives Built-in battery = basically a tiny UPS Pop!_OS + Window

MiniMax released MiniMax-Music3, an open-weights text-to-music model. Given lyrics with section tags and a structured caption, it generates a complete song of up to five minutes in a single pass, as 32 kHz, 16-bit stereo WAV. Here is the architecture, the three serving paths, and the license conditions that matter before you ship. The post MiniMax Releases MiniMax-Music3: An Open-Weights Music Model Generating Complete Five-Minute Songs From Lyrics and a Structured Caption appeared first on Mark

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