Michal Šustr @michal_sustr
PhD student @ Czech Technical University. Interned @ Deepmind Edmonton. Interested in game theory, RL/ML, functional programming. Joined June 2014-
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🤯 French Senator : "Washington has become Nero’s court, with an incendiary emperor, submissive courtiers and a jester high on ketamine. (...) We were at war with a dictator, we are now at war with a dictator backed by a traitor" - Claude Malhuret. WOW ! 👊
1/ Most AI risk discussion focuses on sudden takeover by super capable systems. But when I imagine the future, I see a gradual erosion of human influence in an economy of trillions of AIs. So I'm glad to see a new paper about those risks🧵
This is very cool. I wonder how small you can make the net and still get reasoning via RL to emerge. Doing more search faster might be more important than scaling models to be bigger -- you can just offload all those facts stored in LLM to a database for a lookup.
This is very cool. I wonder how small you can make the net and still get reasoning via RL to emerge. Doing more search faster might be more important than scaling models to be bigger -- you can just offload all those facts stored in LLM to a database for a lookup.
Classic linear programming problems are one of the most foundational problems in computer science, yet today’s approaches struggle to scale. Today on the blog read about PDLP, a new solver, based on first-order methods, for large-scale linear programming →goo.gle/3MSoHfD
✨🎨🏰Super excited to share our new paper Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness Inspired by biology we 1) get adversarial robustness + interpretability for free, 2) turn classifiers into generators & 3) design attacks on vLLMs 1/12
A short time ago in 10 timezones from California away... While Llama 3.1 is (rightfully) all the rage, some weirdos are making progress on generating all tokens at once with flow matching (a diffusion family process), and testing on the hardest task to get exactly right: codegen!
A short time ago in 10 timezones from California away... While Llama 3.1 is (rightfully) all the rage, some weirdos are making progress on generating all tokens at once with flow matching (a diffusion family process), and testing on the hardest task to get exactly right: codegen!
I was thrilled to learn about this best paper award announced today in COLT 2024, the premier learning theory venue. The paper is "Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension" authored by students Gautam Chandrasekaran, Konstantinos Stavropoulos, IFML…
just released a paper with will berman on multimodal inputs for image generation main idea: describing things just in text is often hard. can you train a model that uses interleaved text/image prompts for image generation? the answer is yes. 🧵
Good job !!
You should really follow this account. The similarity of events 85 years apart is sometimes difficult to believe. I wanted to write something clever about remembering the past and empirical risk minimization, but could not find it. You get the idea.
You should really follow this account. The similarity of events 85 years apart is sometimes difficult to believe. I wanted to write something clever about remembering the past and empirical risk minimization, but could not find it. You get the idea.
We have built DeepStack, the first AI to beat humans in no-limit poker. We are now building the next generation AI company for algorithmic trading! We are growing our research and engineering team. If you want to work with a world class AI team led by ex-DeepMind researchers and…
We live in a time increasingly resembling the second half of the 1930s. I couldn't live with myself with the knowledge I didn't do more to stop another Hitler. In light of the Republican wavering and in memory of Navalny I will give $100 towards FPV drones for Ukr for every RT.
How is next-token prediction capable of such intelligent behavior? I’m very excited to share our work, where we study the fractal structure of language. TLDR: thinking of next-token prediction in language as “word statistics” is a big oversimplification! arxiv.org/abs/2402.01825
Did you know that all kinds of tubes use physics? Here's the physics of some of my favorite tubes 🧵 First up: The Vortex Tube, a thermodynamic mystery for over 80 years

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Dmytro Mishkin 🇺�... @ducha_aiki
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