Ben Kompa

Co-founder @LilaSciences - building scientific superintelligence

[Ben Kompa @BenKompa]

@LilaSciences https://t.co/zxP0KImcL3

[Ben Kompa @BenKompa]

come meet the @LilaSciences team during techweek boston! link below - we are building the full stack for autonomous science from post-training language models at scale to robots conducting experiments in the real world

[Jing @JinghanOng]

I joined Lila because I wanted to solve root node problems. If we can solve AI for science, we basically extend human potential by an unprecedented magnitude. If you are mission driven, drop me a msg. We’re hiring across applied AI, data, and virtual lab. https://t.co/VEkfk52OWV

[Peter H. Diamandis, MD @PeterDiamandis]

Spent an amazing morning at Lila sciences with Geoff and team, watching their scientific Superintelligence in action! @LilaSciences

[Ben Kompa @BenKompa]

@simonbatzner Congrats!!

[Ben Kompa @BenKompa]

NVIDIA’s newly released multimodal model — Nemotron 3 Nano Omni — has been remarkably effective and efficient in Lila’s literature review pipelines, achieving SOTA performance in our internal evaluations of complex scientific literature understanding. NVIDIA Nemotron Parse complements this by improving structured extraction and downstream workflows. At Lila, we’re building AI models and agents to drive real‑world scientific discovery, and Nemotron 3 Nano Omni enables computer use for physical experiments. We are excited for the future of multimodal scientific agents!

[Peter H. Diamandis, MD @PeterDiamandis]

https://t.co/v74CQQ6RRM

[will brown @willccbb]

i don't get to spend that much of my time writing code these days (lots of meetings / slack / reviewing / docs / tweaking experiment configs etc) but finding it especially fun to work with the agents on fleshing out complex projects that have been simmering for a long time

[Ben Kompa @BenKompa]

@iclr_conf @LilaSciences https://t.co/FdjepL51ni

[Ben Kompa @BenKompa]

Link to register for the AIMAT social @iclr_conf below! come meet the @LilaSciences team

[Ben Kompa @BenKompa]

I'll be speaking on a panel at LMRL @ 11:30a and presenting at GEM @ 12:50p tomorrow - come learn about what we're building @LilaSciences !

[Ben Kompa @BenKompa]

@tw_killian @LilaSciences

[Ben Kompa @BenKompa]

@DeltaInstitutes @iclr_conf @LilaSciences 👀 about to take a redeye from Peru but will check it out!

[Ben Kompa @BenKompa]

on my way to @iclr_conf - please dm me or teammates to chat @LilaSciences, jam on autonomous science, or to send rio recommendations! 🇧🇷

[Lila Sciences @LilaSciences]

We're headed to @iclr_conf. Come chat with us at booth #604 and catch sessions & presentations with members of our team Tommaso Biancalani, @tw_killian, @BenKompa, Santiago Miret, and @swamiviv1. #ICLR2026

[Ben Kompa @BenKompa]

@zebulgar i went from 30 being “fun” to 16:30 being similarly “fun” - happy to share what helped me !

[Ben Kompa @BenKompa]

couldn’t agree more!

[Patrick OShaughnessy @patrick_oshag]

Alex on why AI + fully autonomous labs will compress drug discovery from five years to two:

"If scientists are armed with agentic infrastructure that has an intelligence that's a multiple of Einstein, they will do science faster, with higher probability, for lower cost, and have greater impact."

"AI coming into the discovery of medicines is one of the biggest unlocks we will see in history because it means we're no longer constrained by our hands or minds. We can identify all n number of hypotheses that could exist, figure out the best experiment to run, and run those 24/7."

"The sheer ability to be more comprehensive in our hypothesis set, and to run experimentation at unprecedented scale, means we're going to speed breakthroughs from timelines that take three to five years to timelines that take less than a couple of years."

[Patrick OShaughnessy @patrick_oshag]

Alex on why AI drug discovery companies need to generate novel data to succeed:

"AI models based on the research that's available is a lot of garbage in and garbage out."

"A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results."

"The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

[Ian Char @Ian_Char]

I'll be at ICLR this year! Come find me at booth #604 to chat about Agents, RL, and all things AI for Science at Lila!

[Ben Kompa @BenKompa]

@tw_killian if you're in, i'm in!

[Ben Kompa @BenKompa]

did this today 🥲 love this city

[Matt @iamnotmattt]

On the train back from Fenway, I saw a dude get off in Newton wearing his marathon medal.

Running the Boston Marathon and taking the T home is THE MOST Boston thing ever and I love it so much.