we just dropped a discord and 3100+ ppl joined in under a day! ML x science momentum is on another level Join here: discord.gg/VYkdEVjJ5J

Hugging Face is hosting a “bar crawl for science” at NeurIPS if you’re working on: > autonomous labs > scientific tool use > protein/peptide/etc engineering > materials gen > agents for engineering > fusion and want to meet others, lmk DMs open

Adding FASTA + FASTQ support for Hugging Face datasets Extending HF to bioinformatics! Need some stuff to test on (especially FASTQ bc PDB has lots of FASTA)—any suggestions? Very happy to test on your data

I would say my biggest takesway from spending the last 8 months singlemindedly studying bioML is that understanding the biology actually is important

Very cool! The world needs a lot more labs like Gabriel Rocklin 's!

Sakana AI will be at #NeurIPS2025! 🐟🐟🐟 We’re pleased to announce that Sakana AI is co-hosting “AI for Science: Algorithms to Atoms” panel event alongside NeurIPS. Join our CEO, hardmaru, and other industry leaders as we explore the future of AI-driven scientific discovery.

happy to see people enjoying the article, and thanks Georgia Channing for sharing! Go follow Hugging Science!🔬

At NeurIPS next week. AI × Science afterparty. 800+ people on registration. See you there!

Hey twitter! I'm releasing the LLM Evaluation Guidebook v2! Updated, nicer to read, interactive graphics, etc! huggingface.co/spaces/OpenEva… After this, I'm off: I'm taking a sabbatical to go hike with my dogs :D (back Hugging Face in Dec *2026*) See you all next year!

thanks so much to everyone who came out to the Hugging Science bar takeover last night in San Diego amazing community with epic science coming out of it if you have any photos/videos, plz drop in the thread 🧫🧬🔭🔬💛

Zero code to protein pipeline now on Hugging Science 🤗 As a part of the PDW hackathon, the organizers built inference spaces for: 🧬 RFDiffusion 🧬 RosettaFold3 🧬 BoltzGen2 (+ soon to be MCP servers)

💊💊💊 Ginkgo Bioworks just dropped GDPx4 💊💊💊 29.9 MILLION rows of DRUG-seq data, perfect for benchmarking + large-scale perturbation modeling critical for anyone who can't afford their own high-throughput lab a little more in 🧵

Absolutely killer new blog from one of the OGs in open protein engineering, amelie_schreiber. This is the only piece of writing I've come across that explains to someone in non-specialist language why you need each of these models and what role they all have to play in making sure

New OpenFold3 preview out! (OF3p2) It closes the gap to AlphaFold3 for most modalities. Most critically, we're releasing everything, including training sets & configs, making OF3p2 the only current AF3-based model that is functionally trainable & reproducible from scratch🧵1/9

Simply adding Gaussian noise to LLMs (one step—no iterations, no learning rate, no gradients) and ensembling them can achieve performance comparable to or even better than standard GRPO/PPO on math reasoning, coding, writing, and chemistry tasks. We call this algorithm RandOpt.

I’ve been at a small conference this week, one where the AI people have been presenting early in the week and the domain science people will be presenting later in the week. At the end of the talks last night, the conversation turned very doomer with all the AI people talking

The next OpenADMET blind challenge is about to launch. This one is will predict Pregnane-X Receptor (PXR) induction. PXR is a nuclear hormone receptor and master regulator of drug-metabolizing enzymes and transporters. This challenge comes with a PXR dataset of more than