Pedro Madruga

Wait, what?

source: www.anthropic.com/engineering/...

Unsloth AI (@unsloth.ai) You can now fine-tune Qwen3.5 with our free notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub:…

So much looking forward to put this on a Raspberry Pi or similar.

Tim Duffy (@timfduffy.com) Some more context on Lin, via SCMP's Vincent Chow: https://x.com/vince_chow1/status/2028890219307778252

Mistral, do your thing.

I need to know the inference speed on a raspberry pi because these sizes look great.

GitHub - second-state/qwen3_asr_rs: Rust implementation of Qwen3-ASR automatic speech recognition Rust implementation of Qwen3-ASR automatic speech recognition - second-state/qwen3_asr_rs

Rust implementation for Speech-to-Text based on Qwen3 models by Michael Yuan

* Self-contained binary build — no external dependencies
* Uses libtorch on Linux with optional Nvidia GPU support
* Uses MLX on MacOS with Apple GPU/NPU support

github.com/second-state...

Danish government agency to ditch Microsoft software in push for digital independence Denmark's digital affairs ministry says it plans to switch to the open source LibreOffice software and away from Microsoft products as part of an effort to make the government more digitally…

LibreOffice it is.

"Danish government agency to ditch Microsoft software in push for digital independence"

GitHub - ggml-org/LlamaBarn: A cosy home for your LLMs. A cosy home for your LLMs. Contribute to ggml-org/LlamaBarn development by creating an account on GitHub.

Could be interesting, macOS only though but with a small footprint.

GitHub - ggml-org/LlamaBarn: A cosy home for your LLMs.

LLM cloud inference dominates usage, but should it? Local models and accelerators have improved massively over recent years.

Perfect routing to best local model "reduce energy consumption by 80.4%, compute by 77.3%, and cost by 73.8% versus cloud-only deployment"

arxiv.org/pdf/2511.07885

I went from Obsidian after a few years, to Notesnook, to Standard Notes.

I am back using Obsidian. I can configure it enough to still keep it minimal while addressing all my use cases.

I do notice that the Android version is slower than the iOS one. But manageable.

These are the engineers I like to work with. Boris is (again) on point.

The art of (AI) science and engineering - an intro A few thoughts about SIGIR 2025 and how to apply academic research by experimenting in the industry.

A company's "AI Winter" starts when its AI-based product only has focus on engineering and zero on AI innovation.

However, trying to avoid engineering debt creates AI debt.

And AI debt has deeper (& longer) consequences due to rapid changes happening in the field.

Aim for a balance, always.

The claude code agent teams feature seems great in theory but there's an upper limit on the cognitive load of reviewing every change each agent makes.

I'm still reviewing every single change, yes.

Today's reading item

💯

Pamela Fox (@pamelafox@fosstodon.org) Attached: 1 image GitHub Copilot has a memory system now, and the engineering team wrote a great blog post on how they implemented and evaluated it: https://github.blog/ai-and-ml/github-copilot/build...

On Github Copilot's memory system and what their engineering wrote

fosstodon.org/@pamelafox/1...

The best compliment i can give OpenAI's Codex 5.3 is that it feels way more like Claude Code

Quilicura, Chile, one of the communities I wrote about in EMPIRE OF AI, has launched a brilliant initiative to inspire more responsible AI prompting. Today, don't use AI; ask the townspeople instead: quili.ai. So heartened to see this creative act of resistance.

The future of software engineering isn't less human, but more focused on higher-level problem-solving. Engineers will evolve to master AI tools, leveraging them to build more robust, thoughtful solutions. #FutureOfWork 6/6

This can't be good for Europe.

Every niche is now able to write solutions to their own problems, and that's great.

For all the hate that LangGraph gets, there is a hundred times more people using it in battle-tested grounds (such as gitlab, elastic, klarna, cisco and so on).

Also, it's silly to hate a framework.

With the amount of AI-assisted tools for development coming out - thus impacting teams' development practices from the ground up - the concept of cross-functional teams seems ancient.

A developer that understands these tools will hardly fit in the same team with one that rejects them vehemently.

Domain driven AI - where domain knowledge drives AI implementations - is the best approach for AI-based products.

Software engineering is, fundamentally, a solved problem. AI Science isn't.

The ones who treat AI challenges as software engineering ones are doomed to fail.

This year, I've tried Helium and Waterfox browsers. I found the former to be buggy and there's something about Chromium-based browsers that doesn't bode well with me. And I've always been a Firefox user, since its Firebird days.

Waterfox was perfect since the get-go. Both on Mac, Linux and Android.

The Going Dark initiative or ProtectEU is a Chat Control 3.0 attempt
View Article | Join the HN Conversation

Summary of HN discussion 🧵👇

This was also a year where I have been migrating to European-based services. Went from iCloud to Proton Drive, Gmail to Proton Mail and so on.

Migrated from iPhone to Android, since I bought a FairPhone and am very happy with it. FP is much better than I anticipated!

Doing a "year in review" on the technologies I've tried/read about.

One thing that comes to mind is the hostility towards MCP, especially by people who didn't try it.

And I used to do Javascript, which got a lot of heat back in the day. MCP is just a Protocol, people.

AI Agents in Action - Micheal Lanham Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs.

I just read "AI Agents in Action". It's well-supported by code and drawings. Being quite heavy on OpenAI and Microsoft tooling is a drawback. Online reviews are pretty mixed as well.

It's not a beginner-level book but needs more depth. Decent read, all in all.

www.manning.com/books/ai-age...