Today we're launching Latent-Y: the world's first autonomous agent for drug design, lab-validated end to end.
Give it a research goal. Latent-Y reasons, designs, iterates, and delivers lab-ready antibodies, autonomously or collaboratively, with the biological reasoning of a PhD protein design expert.
Technical report: https://t.co/E7IHfkvvD3
Blog post: https://t.co/GfJAfzj0Qx
Apply for access: https://t.co/E0SR9znZiP
2/ Our method: test them on esoteric programming languages.
Brainfuck. Befunge-98. Whitespace. Unlambda. Shakespeare.
All Turing-complete. All requiring identical reasoning to Python. All with 1,000-100,000x fewer GitHub repos than mainstream languages.
Same problems. Radically less training data.
There are two categories of people: those who quickly figure out that chatbots give you the answer you expect when you ask questions in a biased way, and the ascended polymaths currently out-thinking every expert on Earth
@jakozaur Could you please elaborate what exactly eval do you run and why is it that crucial? You want to know in the real-time, which LLM is the best?
Instytut Ideas może zacząć działać - wczoraj dokonany został wpis do KRSu. Jednakże wśród dobrych informacji są też takie dużo bardziej przejmujące o chorobie jednego z liderów zespołów, który miał niedługo zacząć pracę. @LukeKucinski walczy z glejakiem i szuka wsparcia na: https://t.co/3z4P7hl5D2.
@jakozaur And most of its big customers (Google, Amazon, Meta, Apple) are building their own chips for AI.
And there might be better chips, not just cheaper; e.g. https://t.co/8vXmDlyZxU looks promising.
Jevons Paradox: When a resource becomes more efficient, its consumption increases as new use cases emerge.
Today’s selloff in NVIDIA suggests the market forgot this paradox.
DeepSeek’s models can very well lead to more usage of GPUs, not less.
I think this is a very good take on AI - overhyped as hell, but the progress is real.
@filippie509, don't you agree? You seem to post a lot about the BS, but I can't figure out if you see the substance behind it.
For about as long as I've been in AI, it has always been overhyped in some way -- shrouded in a cloud of bullshit. No matter the year, many commentators have assumed that it had incredible capabilities that it clearly didn't, and that it would soon pose risks that were clearly not real.
The trap is to think that, just because dim-witted people hype it up, AI isn't real. It's extremely real, and it will be a much bigger thing in 5 years than it is today, and then an even bigger thing in 10 years. It was already real and well on its way in, say, 2016 -- back when everyone assumed that no one would be driving their own car by the year 2020, back when some VCs were claiming that LSTM text generators were already good enough to replace journalists, back when doomers were already panicking about Bostromian fantasies.
The claims may be BS, but the tech is real, it's moving fast, and it drives an increasing fraction of the global GDP every year. That overarching trend is showing no sign of slowing down.
Sure, there are valid reasons to be cautious about nVidia's valuation (can they maintain a stable monopoly?).
But in my opinion, better models like DeepSeek's are not one of them.
@gkossakowski I think the most spectacular charismatic prototype to date is autonomous driving.
Already in 1995 there were demonstrations of driving on "public Autobahns from Munich to Denmark and back, up to 158 km without human intervention" citing @SchmidhuberAI https://t.co/IzgZ2IMI6Z
Im więcej wiem na temat procesu wyboru nowego prezesa IDEAS NCBR, tym bardziej uważam, że w interesie publicznym jest transparentne wyjaśnienie kryteriów wyboru nowego prezesa. Poniższy list wysłałem do Premiera Donalda Tuska @donaldtuskEPP