Lucas
@quantbagel
a16z sf2 backed founder, ml research, ex-quant 2x
I’m sorry Montreal, I was unfamiliar with your game.
I spent the past year building AI for robots at Tesla Optimus and Dyna Now I'm introducing ANDROID DREAMS: an essay of my predictions for the next 20 years of robotics, inspired by Situational Awareness and AI2027. I predict EGI by 2031 and more robots than humans by 2045👇🏼
Technological innovation can be a form of participation in the divine act of creation. It carries an ethical and spiritual weight, for every design choice expresses a vision of humanity. The Church therefore calls all builders of #AI to cultivate moral discernment as a…
Dark Factories? Of course you thought there wasn't anyone on the floor. They were hiding in the offices while management pretended to turn the lights on for you. Let me guess -- you just finished the McKinsey Quarterly deck on lights out factories, and now you think humans are…
last time I was in Shenzhen I walked through a dark factory & the thing that got me was there were literally zero workers on the floor, the entire production line was running in complete darkness because when you don't have humans you don't need lights and these robots were…
I have two sides: >I want to live a peaceful life in a little shack in the woods and live off the land. >I want to master physics and accelerate Humanity into a glorious future in which we have conquered the galaxy and bask in limitless energy harvested from a billion stars.
This is the coolest scaling curve in robot learning I've seen! Bars overflowing seen task ratio = cross task generalization. Rigorious yet intuitive. Check out our new work on real-world self-improvement in VLA post-training!
What if robots could improve themselves by learning from their own failures in the real-world? Introducing 𝗣𝗟𝗗 (𝗣𝗿𝗼𝗯𝗲, 𝗟𝗲𝗮𝗿𝗻, 𝗗𝗶𝘀𝘁𝗶𝗹𝗹) — a recipe that enables Vision-Language-Action (VLA) models to self-improve for high-precision manipulation tasks. PLD…
BF16 -> FP16 is such a simple (one configuration change in Oat) yet fundamental fix for inference-training mismatch. With FP16, the most basic importance sampling PG outperforms all algorithmic fixes in BF16. Let's rethink RL stability from the precision perspective.🔎
🚀Excited to share our new work! 💊Problem: The BF16 precision causes a large training-inference mismatch, leading to unstable RL training. 💡Solution: Just switch to FP16. 🎯That's it. 📰Paper: arxiv.org/pdf/2510.26788 ⭐️Code: github.com/sail-sg/Precis…
In 5 years, the winning robots won't have the best AI - they'll have the best API.
4 architectural fragments from NOiSE a rarely seen prequel to Tsutomu Nihei's infamous manga series BLAME. Megastructures bathed in silence.
Researchers at Beijing Academy of Artificial Intelligence (BAAI) trained a Unitree G1 to pull a 1,400 kg car.
Huge breakthrough from DeepMind! In their latest Nature paper, “Discovering state-of-the-art reinforcement learning algorithms,” they show that AI can autonomously discover better RL algorithms. "Enabling machines to discover learning algorithms for themselves is one of the…
codex and claude are fighting in my repository while I study for midterms and it’s bringing back childhood memories
We're scaling our Open-Source Environments Program As part of this, we're committing hundreds of thousands of $ in bounties and looking for partners who want to join our mission to accelerate open superintelligence Join us in building the global hub for environments and evals
United States Xu hướng
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