Fernando Martínez @Fdo_ML
Ph.D. Student @FordhamNYC | AI & ML 🤖 fernandoml.me New York, NY Joined August 2012-
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💪💪💪 You'll know if you know.
Introducing Among AIs, a social reasoning benchmark where embodied models play Among Us to test social intelligence: deception, persuasion, and coordination. We put 6 SOTA models in a live arena and GPT-5 came out on top by leading in Impostor & Crewmate wins. Why did GPT-5 get…
I'm pleased to announce another (fairly minor) update to my RL tutorial (I fixed some typos, cited more papers, and added a wee bit more stuff on multi-agent RL and RL for LLMs). I don't have time to work on this anymore, so enjoy it as is! (Link below)
Gotta love these RL hype cycles 🍿👀
Gotta love these RL hype cycles 🍿👀 https://t.co/RtZvcPnOSW
The transition from engineer to researcher in RL is an interesting one. When you start out building sims, it is very easy to measure progress. Build an environment. Make it fast. Train a working policy. Build harder environments. 🧵 (1/7)
We introduce PuzzleJAX, a benchmark for reasoning and learning. 🧩💡🦎 PuzzleJAX compiles hundreds of existing grid-based PuzzleScript games to hardware-accelerated JAX environments, and allows researchers to define new tasks via PuzzleScript's concise rewrite rule-based DSL.
open-source rl environments might be the most important piece for ensuring open source agi
open-source rl environments might be the most important piece for ensuring open source agi
PufferLib RLC 2025 Outstanding Paper: RL at Millions of Steps per Second. Free + open source for academic and commercial use. We offer support packages for businesses with existing internal RL efforts and larger contracts on solving new problems.
Genie 3 feels like a watershed moment for world models 🌐: we can now generate multi-minute, real-time interactive simulations of any imaginable world. This could be the key missing piece for embodied AGI… and it can also create beautiful beaches with my dog, playable real time
Some advice to anyone starting a PhD in ML, or things that I heard from more experienced researchers and I tried to follow: 1) focus on a real problem. Something tangible, that can benefit people. Talk to industry folks if you're looking for open problems. Talk to the end (1/8)
Some advice to anyone starting a PhD in ML, or things that I heard from more experienced researchers and I tried to follow: 1) focus on a real problem. Something tangible, that can benefit people. Talk to industry folks if you're looking for open problems. Talk to the end (1/8)
It is happening. Many of us are now spending many hours writing a rebuttal to an LLM, because clearly some of the reviews we got at NeurIPS were generated by an LLM.
Instead of complaining that peer review is dead, take a positive step to improve it today. The reviewers are not aliens, they are us! - Revise your review and make it clear. Identify the crucial points that impacted your score negatively and positively. - If the paper is…
My colleague Rupam Mahmood explains from first principles his groundbreaking work on Streaming Deep Reinforcement Learning: youtu.be/QOfkOl9QrZY?si…
Why is in-context learning more efficient than SFT? Because conditioning a distribution is easier than learning a conditional distribution.
Why is in-context learning more efficient than SFT? Because conditioning a distribution is easier than learning a conditional distribution.
🚨New workshop alert 🚨 Calling all RL researchers in the New York area 🧠🗽 Present your work at the first-ever New York Reinforcement Learning Workshop (NYRL), co-organized by Amazon, Columbia Business School & NYU Tandon School of Engineering. ny-rl.com
We're excited to announce a second physical location for NeurIPS 2025, in Mexico City. By expanding our physical locations, we hope to address concerns around skyrocketing attendance and difficulties in obtaining travel visas that some attendees have experienced in the past few…
Living in my dream ❤️❤️❤️❤️ Thank you!!! 💜💚 @Wimbledon
A day for the history books! You’re one of a kind, Jannik 👑🎾 @janniksin
A day for the history books! You’re one of a kind, Jannik 👑🎾 @janniksin
Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team @tatsu_hashimoto @marcelroed @neilbband @rckpudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:
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GlobalMacroX🇺🇸 @Garu2910201
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anshuman @athleticKoder
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Martin Shkreli @MartinShkreli
358K Followers 8K Following https://t.co/vJE5wyFDrX https://t.co/GUy99qMi2O - join our Discord! e/acc
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Jiaxun Cui 🐿️ @cuijiaxun
703 Followers 781 Following Research Scientist @AIatMeta | Ph.D. @utlarg @UTAustin 🤘 | Multi-agent Reinforcement Learning | Undergrad SJTU @sjtu1896
Juana Peña @Chris_Montz
155K Followers 1K Following • Activista por la salsa • Maelómana • Bloguera • Faniática • Salsera entusiasta • Efemérides • Curiosidades • Historia • https://t.co/1LLV5xlFzs 👥
Vincent Micheli @micheli_vincent
483 Followers 214 Following Working on World Models for Decision Making. PhD candidate @Unige_en - Prev. RS @wayve_ai
Gokul Swamy @g_k_swamy
4K Followers 1K Following last year phd student @CMU_Robotics working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email.
Akhil Bagaria @akhil_bagaria
909 Followers 513 Following Senior RS at Amazon, Former RS Intern at @DeepMind, Phd from Brown University @BrownBigAI
TBPN @tbpn
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Joaquin Quiñonero Ca... @jquinonero
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Secretary Marco Rubio @SecRubio
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AI Coffee Break with ... @AICoffeeBreak
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ResearchHub @ResearchHub
43K Followers 1 Following A modern day preprint server powered by $RSC. Incentivizing the open publication of transparent research. Let's accelerate science!
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DeepSeek @deepseek_ai
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Kyle🤖🚀🦭➡�... @KyleMorgenstein
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Marlos C. Machado @MarlosCMachado
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Nancy Pelosi Stock Tr... @PelosiTracker_
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587 Followers 333 Following AI research @Apple. PhD in Machine Learning @whi_rl, University of Oxford. Previously @Amazon, @DeepMind, @jpmorgan, @NVIDIAAI.
Furong Huang @furongh
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