If you’ve ever - thought AI protein folding is magical ✨ - wanted more than a pLDDT score 🔎 - or just think mech interp in bio is cool 🤓 then read the 🧵 👇 on our first paper towards interpretable protein structure prediction just accepted to workshops at ICLR

78,234% MRR btw

Excited to announce that @SolaAI_ has raised a $17.5M Series A led by @a16z with support from @Conviction @ycombinator, bringing total funding to $21M 🚀 From the start, we set out to reimagine human-AI interaction to push the boundaries of process automation. Our agents watch how people do tasks on-screen, then handle those tasks automatically, even in legacy tools.

Grateful to be featured in @Forbes and to go deeper and share the vision behind @phosphorcap. Thank you to @dasha_shunina for taking the time to understand Phosphor’s mission.

🚨 New paper alert! Linear representation hypothesis (LRH) argues concepts are encoded as **sparse sum of orthogonal directions**, motivating interpretability tools like SAEs. But what if some concepts don’t fit that mold? Would SAEs capture them? 🤔 1/11

2/3 companies I mocked this batch got in! Feeling proud. Highest leverage 15 min every time.

@kaivu, @atticuswzf , and I were researching long horizon reasoning (with @jacobandreas). We found existing benchmarks’ hard problems often featured tricky puzzles, not tests of system understanding. So we made Breakpoint: a SWE benchmark designed to disambiguate this capability.

The YC Summer 25 application deadline is May 13th! No better time to found & build tech that'll shape the next decade. To pay it forward, I'm happy to review applications & mock interviews so reach out! ycombinator.com/apply

Biology’s lack of data is holding back its AI boom. Epoch’s latest report shows explosive growth in biological model training data size from 2017–2021 (9.7×/year), but a (2.1x/year) plateau since. AI models for biology are ready to transform science if the data can keep up.

I’m at #ICLR2025 the next few days! I’m making lots of time in my schedule to talk to researchers who might someday want to start a company. If that’s you, sign up for a YC office hours with me here. events.ycombinator.com/yc-oh…

Our paper "Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?" will be presented at #ICLR2025! It's also the first paper of my first PhD student — congrats @maximemeloux! 🎉 blog post: melouxm.github.io/MI-identif… A short thread 🧵

We have a small gift for the open-source community: RolmOCR, a new OCR model for complex document processing! We at @reductoai trained a Qwen2.5-VL-7B model (by @Alibaba_Qwen ) using the amazing olmOCR dataset by @allen_ai earlier this year. As a result, we have RolmOCR - a slightly faster, maybe slightly better model under Apache 2.0 License. More details in the thread:

Bio foundation models are great design and engg tools. But can they help decode the fundamental principles of life? We harnessed a single-cell FM for decoding the long-debated relationship between genome arch. and gene coregulation. It all started with an idle curiosity. 1/

Great news! Undergraduates from families earning below $200,000 can attend MIT tuition-free. This initiative will make higher education more accessible to 80% of American families, ensuring that talented students can pursue their dreams without financial barriers. news.mit.edu/2024/mit-tuitio…

Excited to share that I've joined @FirstRound to invest in exceptional founders at the earliest stages of their journeys. 🚀 First Round backed some of my close friends last year (special thanks to @aditabrm for the introduction and @the_yuppy for the support), and it's been a joy to see the deep commitment and service they provide to their founders. Even though I'm only one day in, the intensity and care with which the team operates has been inspiring. I'm looking forward to working closely with and learning from @btrenchard, @brettberson, and the rest of the First Round team. It's a real privilege to be a part of such a storied firm, and it's an honor to work alongside visionaries at the most formative stages of company building who are fundamentally changing how we work and live. This new chapter builds upon almost two years at @NEA, where I had the opportunity to work with so many kind, humble, and high integrity people. I'm grateful to the NEA team for taking a bet on me and giving me the opportunity to learn the craft of venture and support some remarkable companies. To the founders I've worked with and those I've yet to meet - thank you for letting me be a part of your journey. 🙏

AI models are *not* solving problems the way we think using Docent, we find that Claude solves *broken* eval tasks - memorizing answers & hallucinating them! details in 🧵 we really need to look at our data harder, and it's time to rethink how we do evals...

Looks very useful for interp practioners!

The way interpretability unlocks innovation is not new. Consider biology after Nirenberg cracked the genetic code in 1962. Solving "biological interpretability", decoding the mysterious information locked inside cells, created an explosion of innovation in modern medicine.