Lil personal update: I started a new role at Apple this month! 🍏 I'll be doing full-stack work, building tooling for AIML teams. Excited for what's to come :)

togelius.blogspot.com/2025/06/the-...

I've been working on a little game project recently, controlling a spacecraft using a 6502 emulator! You can read sensors and actuate the craft by doing read/writes to memory. It's a Godot project (with a 6502 rust extension) exported to the web with a svelte interface. A lot of firsts for me 😅

Today in Privacy & AI Tooling - introducing a nifty new tool to examine where data goes in open-source apps on @hf.co 🤗 HF Spaces have tons (100Ks!) of cool demos leveraging or examining AI systems - and because most of them are OSS we can see exactly how they handle user data 📚🔍 1/4 🧵

Today, we share the tech report for SmolVLM: Redefining small and efficient multimodal models. 🔥 Explaining how to create a tiny 256M VLM that uses less than 1GB of RAM and outperforms our 80B models from 18 months ago! huggingface.co/papers/2504....

Paper page - SmolVLM: Redefining small and efficient multimodal models

Join the discussion on this paper page

huggingface.co

Last week, we launched a waitlist to move builders on @hf.co from LFS to Xet. This was made possible through months of hard work and staged migrations to test our infrastructure in real-time. This post provides an inside look into the day of our first migrations and the weeks after.

Xet is on the Hub

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

huggingface.co

Gemma 3 is live 🔥 You can deploy it from endpoints directly with an optimally selected hardware and configurations. Give it a try 👇

🤖 (🤗+🐸 )=✅ I am always stoked to share how the tech world operationalizes ethical values, and I get to do that today. 🥳 @hf.co and JFrog have partnered to certify models for security and safety. This also moves forward AI *trustworthiness* and provides another form of AI *transparency*. More later!

JFrog and Hugging Face Team to Improve Machine Learning Security and Transparency for Developers

JFrog Ltd (Nasdaq: FROG), the Liquid Software company and creators of the JFrog Software Supply Chain Platform, today announced it is partnering with

businesswire.com

Day 17 — until today, intellisense would often fail when you were in the middle of writing components, because Svelte's parser crashed on syntax errors. We just fixed that. Install svelte@latest, make sure your extensions are up to date, and feel the wind in your hair as you write your components

2025 will be the year of AI for science Leveraging all the things we've recently learned training AI models for 1000x impact in science and this will need data! More details: huggingface.co/blog/lemater... Thread: ...

This feels like a pretty big deal! Loving this new feature, especially when combined with reactive state in classes. I really like this new Svelte DX

Svelte@svelte.dev · 2y ago

Day 12 — send custom types across the network boundary in SvelteKit, whether it's a class containing reactive state, a class used by your database ORM library, or whatever. Just export a `transport` object from your `hooks.js` 🎁 docs svelte.dev/docs/kit/hoo... 🎁 demo stackblitz.com/edit/sveltej...

Performance leap: TGI v3 is out. Processes 3x more tokens, 13x faster than vLLM on long prompts. Zero config !

New Llama model just dropped! Evals are looking quite impressive but we'll see how good it is in practice. We're hosting it for free on HuggingChat, feel free to come try it out: hf.co/chat/models/...

meta-llama/Llama-3.3-70B-Instruct - HuggingChat

Use meta-llama/Llama-3.3-70B-Instruct with HuggingChat

hf.co

The Lichess database of games, puzzles, and engine evaluations is now on @hf.co - https://huggingface.co/Lichess. Billions of chess data points to download, query, and stream and we're excited to see what you'll build with it! ♟️ 🤗

Worked on a little UI for displaying the outputs of reasoning models on HuggingChat... Trying to find the right balance between letting users see the raw model output but also making the final answer easier to parse. QwQ can be *very* verbose so it seemed useful to give a summary at the end.

Did you know that 99% of email today is spam? Your inbox isn’t 99% spam because AI is used to filter it. The same 99% will happen here too, but if AI researchers continue to get perma-banned for making available the datasets needed to filter it, it’s going to make this platform unusable.

We just deployed Qwen/QwQ-32B-Preview on HuggingChat! It's Qwen's latest experimental reasoning model. It's super interesting to see the reasoning steps, and with really impressive results too. Feel free to try it out here: huggingface.co/chat/models/... I'd love to get your feedback on it!

Qwen/QwQ-32B-Preview - HuggingChat

Use Qwen/QwQ-32B-Preview with HuggingChat

huggingface.co

Built something a little different: github.com/nsarrazin/bs... A svelte 5 component you can easily add to your blog/project to create a comment feed from a Bluesky discussion. Supports filtering logic & sorting by likes or recent. Styling is completely customizable thanks to Svelte 5 snippets!

GitHub - nsarrazin/bsky-comments-svelte: A simple customizable Svelte 5 component to add comments to your website using Bluesky

A simple customizable Svelte 5 component to add comments to your website using Bluesky - nsarrazin/bsky-comments-svelte

github.com