
LLMaxxing @nvidia ; Design is not finished. Common prosperity. Prev @poolsideai
LLMaxxing
Joined September 2016
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I think B might be better fitted with a 2:1 model... but it's a good problem to have 😁
Replying to @MolenceBio
6/15 ⚡ Mol-1-designed VHHs combined potent 4-1BB agonism with favorable developability
In a six-hour reporter assay, two Mol-1-workflow designs tested as VHH-Fc fusions achieved activation EC50 values of 0.05 and 0.22 nM, compared with 0.43 nM for Utomilumab.
Beyond their potent agonistic activity, both VHHs demonstrated favorable developability profiles.
#DrugDiscovery

ALT Characterization of two 4-1BB VHH-Fc designs. Binding sensorgrams, an activation dose-response plot and a biophysical table are shown. Activation EC50 is 0.05 nM for VHH 01 and 0.22 nM for VHH 02; SEC purity is 100% and 97%, respectively. Both have thermal transition temperatures near 70 degrees Celsius.
Everyone was after antibodies since the "early" AlphaFold2 days... exciting to see some progress !
Introducing Mol-1: Open Frontier Biomolecular Intelligence 🚀🚀🚀
📊 75.0% on FoldBench-AB, near IsoDDE's reported 75.58%!!!
🧬 60k-token assemblies on one single H20, outperforming Anthropic 8/10.
🎯 VHHs binding hit rate as high as 63% with best SPR KD at 43 pM.
GitHub: github.com/molence/Mol-1
Try it: lab.molence.com
This team is cracked 🔥
Introducing Mol-1: Open Frontier Biomolecular Intelligence 🚀🚀🚀
📊 75.0% on FoldBench-AB, near IsoDDE's reported 75.58%!!!
🧬 60k-token assemblies on one single H20, outperforming Anthropic 8/10.
🎯 VHHs binding hit rate as high as 63% with best SPR KD at 43 pM.
GitHub: github.com/molence/Mol-1
Try it: lab.molence.com
“Currently, the service throughput of a single cluster is 155 trillion tokens/day, and the overall revenue is $38 per card per hour (based on off-peak prices).”
Respect 🙏
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
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Suddenly all the "vibration" and "frequency" and "wavelength" discourse seems validated
Replying to @doristsao
7/ These findings show that representation of conscious and suppressed content alternates every ~ 60 ms. Thus conscious perception does not reside in a specific brain region, but rather a specific temporal phase.
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Nice view of Barcelona 😁
We collaborated with @scaleAI to build a high-fidelity port simulation RL environment where AI agents tackle real-world logistics challenges
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Eric Alcaide retweeted
Look at him, thats my Qual.
Your what?
My Qualitative! My vibe specialist. Look at him, you notice anything different about him? Look at his face.
I'll give you a hint, his name is Jayden. He won a local poetry competition in bushwick! Yeah I'm sure of the vibe.
Quant firms are hiring idea guys, not quants
I've been skeptical about the whole - software is commoditized, ideas are the moat argument
But I've seen first hand the best quant and technical firms in the world hire thinkers, liberal arts grads, and generalists
I predict the trend accelerates
Letter from @AQRCapital below
Eric Alcaide retweeted
A short manual on how to systematically increase your exposure to opportunity.
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Multi-agent setups are cool bc you can outsource some computations to the network structure :))
Feedback loops, memories, parallelization, superposition, … We’re about to find them soon
'Tis the week of test-time communication! :D
Very cool work from Aneesh et al. going into depth on the way agents can communicate, how they can learn these strategies, when do they generalize, and what are the archetypes of tasks where these help.
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Respect 🙏
Replying to @XiaomiMiMo
We’re open-sourcing Pro and Flash, MiMo-V2.6-Distill-Qwen-9B, the technical report, 7K+ RL task environments, an end-to-end RL framework and composable mini-harnesses.
Reproduce, verify and build on the work.
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Shorten the feedback loop
Computer scientists discover the power of *closed loop* and *error correction*! I have advocated for many years by now that all intelligent systems would be closed-loop, not open end-to-end. This has been the very basic lesson from Cybernetics (control theory and systems theory), originated more than 80 years ago. This view has been prominently featured in our open-sourced new book about the principles of intelligence: ma-lab-berkeley.github.io/de…
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Eric Alcaide retweeted
Making RL environments less broken and unfair to models seems to be extremely underrated as a strategy for improving alignment.
Eric Alcaide retweeted
Gràcies Fundació Bofill, ensenyament per projectes, aula invertida, coavaluació, TIC a les aules, fes-me un dibuixet, no memoritzeu, fora els llibres, visca les pantalles, IA, reels i tik tok.
⚠️ #ÚltimaHora Caiguda sense precedents a PISA: Espanya retrocedeix l'equivalent a un curs en comprensió lectora 3cat.cat/3catinfo/caiguda-se…
3cat.cat/3catinfo/caiguda-se…
Eric Alcaide retweeted
Justo esto lo he vivido esta semana.
Yo iba agarrándole por el sillín y le solté.
Seguí corriendo a su lado, con la mano por detrás.
Le iba preguntando: ¿Te suelto? ¿Quieres que te suelte?
Y él me decía que no, que no le soltase... sin saber que ya le había soltado.
Cuando me paré y le dije que ya llevaba un rato pedaleando sin que le agarrase se le iluminó la cara y se le escapó la risa.
Yo, obviamente, me derretí.
Tened hijos, no seáis subnormales.
These comments are informative. If you believe these companies are becoming closer to AGI, but consistently you see software bugs that seem inconsistent with this belief ... what is the bayesian update?
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nitter.gq/andrewho03/status/2089…
Comments such as these are instructive. If you have some belief about frontier labs, but frontier lab employees act inconsistently with this belief, what is the correct Bayesian update?
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