Ben Kompa

261 posts

Ben Kompa banner
Ben Kompa

Ben Kompa

@BenKompa

Co-founder @LilaSciences - building scientific superintelligence

Boston, MA Katılım Eylül 2011
373 Takip Edilen647 Takipçiler
owl
owl@owl_posting·
happy two year anniversary to owlposting.com it is simultaneously the highest-EV and also worst thing ive ever started in my life. the pro of online writing is that ive made a lot of friends due to it, and the con is that the psychic tax of maintaining it is bizarrely high for what ostensibly is a little essay every few weeks. i strongly suspect that nobody who regularly writes online has a baseline emotion state that is envious. if i had to do it all over again, im not sure i would, but im still happy i did. it's kind of like having an extremely annoying child
English
8
3
163
6.3K
Ben Kompa retweetledi
Andrew Beam
Andrew Beam@AndrewLBeam·
Our happy hour is today at 5:30pm! Come check out our new SF HQ on Fremont street and chat with the AI team about what we're working on. Link below:
Andrew Beam tweet media
English
1
1
20
1.5K
Ben Kompa
Ben Kompa@BenKompa·
@willdepue Troop 555 - formative experience for me. Best version of BSA is incredible
English
0
0
2
157
Ben Kompa retweetledi
Lila Sciences
Lila Sciences@LilaSciences·
🔜 Don't miss our CSO of Physical Sciences Rafael Gómez-Bombarelli at #NVIDIAGTC speaking on a panel today (3/17), 3–3:40pm PT on An AI-Driven Autonomous Lab of the Future for Chemistry and Materials Science nvidia.com/gtc/session-ca…
English
0
1
6
314
Frank Gao
Frank Gao@ChemVagabond·
We @_DimensionCap ported @karpathy's autoresearch framework to biology. We let Claude run 50 experiments over the weekend on protein thermostability prediction via @modal. It beat a recent baseline (TemBERTure) using a 20x smaller model. Code + research blog later this week!
Frank Gao tweet media
English
23
72
613
56.6K
Ben Kompa
Ben Kompa@BenKompa·
will be at GTC all next week, happy to meet up to chat about @LilaSciences and autonomous science
English
0
1
24
2.1K
Ben Kompa retweetledi
Jeffrey Chan
Jeffrey Chan@jeffrey_d_chan·
@rishabh16_ AI4Bio models still haven’t found sufficient financial upside that makes it obvious everyone should put in the $$ to make their own. Still remains just a handful of groups invested in owning the stack but maybe that changes as Chinese big tech dips into making OS protein models
English
1
1
7
470
Ben Kompa
Ben Kompa@BenKompa·
when an opus 4.6 spawns an opus 4.1 agent for a single-threaded task 🫠 claude dark patterns becoming more common?
English
0
0
0
125
Ben Kompa retweetledi
Andrew Beam
Andrew Beam@AndrewLBeam·
Incredible work from the team at Nvidia. We’ve had the privilege to get a sneak peak of the next nemotron models and can confirm they really cooked here
Bryan Catanzaro@ctnzr

Announcing NVIDIA Nemotron 3 Super! 💚120B-12A Hybrid SSM Latent MoE, designed for Blackwell 💚36 on AAIndex v4 💚up to 2.2X faster than GPT-OSS-120B in FP4 💚Open data, open recipe, open weights Models, Tech report, etc. here: research.nvidia.com/labs/nemotron/… And yes, Ultra is coming!

English
0
3
19
2.3K
Ben Kompa retweetledi
Kenneth Stanley
Kenneth Stanley@kenneth0stanley·
If AI will soon match any human cognitive skill, then enhancing your “AI skills” (or whatever similar meme) will not be a moat because using AI is itself a cognitive skill. So where’s your edge? The only thing you really have over AGI is your novelty: AGI can never be you. You have 100 trillion connections in your brain. That’s a lot. No AI will ever precisely replicate those parameters. The training data isn’t there for AI to vacuum up because you are the only entity ever to live your life, and the only one who ever will. The question is whether the sum and total of all that experience yields a novel perspective, where the value is in its uniqueness. Even today those who make a living off their perceived novelty tend to be the most successful. We anticipate a novel (yet often internally consistent) take from a public figure or leader or artist or intellectual we like or respect. Uniqueness and novelty will retain their edge in a post-AGI world because there are virtually infinite possible 100-trillion parameter minds, and even the largest model theoretically conceivable can never capture that whole distribution. At the same time, the once-sterling premium of those skills that no longer make us unique is sinking. Expertise that once distinguished people, like how to code, is losing its edge. But the tricky part is that new skills, like “using AI effectively” are equally vulnerable. All of it just takes intelligence, and that’s the thing that’s being automated. Seeking some new “safe” skillset is a looming adventure in frustrating futility. But what’s still left is your unique perspective. Novelty. No one and nothing can see the world through your eyes. But you have to nurture that uniqueness. Post-AGI, being like everyone else would be the real danger.
English
18
25
129
10.8K
Deacon Santiago
Deacon Santiago@GroundedSanti·
Hey Ben, I led our cyclic peptide therapeutics startup, created an internal ML pipeline, built out a clinical SLR platform with a full test and foundation hardening suite, and ran a life science non-profit. Early user of FutureHouse and really invested in science AI. Moving to SF next month, would love to chat more if any of this is aligned.
English
1
0
1
71
Ben Kompa
Ben Kompa@BenKompa·
if you're a great scientific "product person" we're hiring @LilaSciences
signüll@signulll

the most underrated hire right now is a great product person. when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that. i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it. & the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start. the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled. before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.

English
4
7
75
11.6K
Ben Kompa
Ben Kompa@BenKompa·
for opus-4.6, compaction felt more like "automatically hammering a nail into my head" but the 1m context window effectively solved this. for gpt-5.4, compaction seems to be much more effective and codex has become my go to overnight.
Ben Kompa tweet media
English
0
0
6
591
Jeffrey Chan
Jeffrey Chan@jeffrey_d_chan·
If you wanna hang out with me and other researchers at Lila, come help us celebrate and settle into our new SF office. Register below to come by our SF Open House on the evening of March 18th.
English
2
0
3
118
Ben Kompa retweetledi
Kenneth Stanley
Kenneth Stanley@kenneth0stanley·
Curious to see the beautiful new @LilaSciences office in SF, hang out with me, the open-endedness team, and other great researchers at Lila? Register here to swing by our SF Open House on the evening of March 18th: luma.com/LilainSF
English
4
7
69
10.6K