Duong Nguyen @nmduong_

New positions open! We’re looking for full-time researchers and interns with backgrounds in geometry and 3D vision to join our team at AMI Labs. The roles can be based in NYC, Paris, Montreal, or Singapore. If you’re interested, apply through the link below: jobs.ashbyhq.com/ami/0d7332d8-b…

New NVIDIA PhD research internships for 2027 🔍 Generative AI, LLMs, vision, graphics/simulation, robotics, autonomous vehicles. I’m interested in AI systems that automate and improve research. Apply: nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…

📢I am hiring interns at the Max Planck Institute! Topics of interest: (1) LLM factuality, reliable information synthesis and reasoning (esp. in agentic settings), personalization (2) AI creativity (3) Data-centric interpretability Apply here by Sep 15: shorturl.at/RmSb1

1/7 Stop by our #ICML2026 spotlight poster next week! icml.cc/virtual/2026/p… We unify self-supervised learning (SSL) algorithms: contrastive, VICReg, stopgrad and more, under a single principle: latent distribution matching (LDM). Paper: openreview.net/forum?id=schXk…

What if attention wasn't about matching tokens, but operating in function space? Glad to share our #ICML2026 paper: 📄 Functional Attention: From Pairwise Affinities to Functional Correspondences w/ @Jiefang_Xiao @GaoMaolin @stevenygd Daniel Cremers 📄 xjffff.github.io/funcattn/

probably the best blog i have read for some time viewing SFT, RL, and OPD as different ways of reshaping a model's distribution makes their tradeoffs super intuitive. - SFT pulls toward a fixed external target - RL moves along the reward gradient on on-policy samples - OPD sits in between, using a teacher signal but on student-generated data, which is why it inherits RL's anti-forgetting properties even when the teacher itself was an overtrained SFT model. the post is heavily grounded in recent literature and uses the distributional perspective as a unifying bridge across all three paradigms, i really like the point it argues the load-bearing ingredient is on-policy data and OPD's convergence to RL-like outcomes is the strongest evidence

Holy shit I thought we had more time

Anthropic @AnthropicAI

5 months ago

The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of

12K 25K 87K 93.5M 23K

x.com/i/article/2064…

@Huangyu58589918 @GoogleDeepMind congratss, I'm in the city for internship too. Let's chat when you have time

The next step toward automating AI is automating RL environments Introducing General-Agent: A fully synthetic environment whose task corpus self-evolves and grows harder over time 4,504 tool-use tasks · 1,040 domains · 8,159 unique tools

i'm in my RL training at scale era, what are the best paper/tech report i should read? so far on my reading list > inclusion ai ring 1T paper > longcat flash thinking (first time reading it, what a banger, will make a thread later) > scale RL > minimax M1

I wrote an interactive article explaining the geometric intuition behind Rectified Flows. I visually explain why flow-models tend to learn curved trajectories, why this is bad for sampling latency, and a relatively simple technique for mitigating it. Check it out! Link 👇

✨Our team at Google DeepMind Frontier AI is looking for a strong research intern. We are looking for candidates with a strong publication record at top tier ML and CV conferences.

Mu Cai @MuCai7

a year ago

Our team at Google DeepMind is looking for a research intern (Summer 2026)! Multimodal agentic model, unified model (world model). Looking for candidates with multiple first-author papers in top ML conferences and strong engineering skills. Email: [email protected]

13 52 533 71K 328

🧵1/N My team at NVIDIA research is hiring PhD interns for: gaming AI, multi-modal foundation models, vision science, and robotic vision. If you are a PhD student with a track record of leading impactful research in any of these fields, email me an intro to your profile + resume.

Our team at #NVIDIA Research is hiring summer intern 2026 on areas including Video Generative models, Controllable/Physically-grounded (3D/4D) GenAI, human-robot/agent interaction (e.g., multimodal LLM). Please email me with a CV if interested.

If you're a PhD student interested in interning with me or one of my amazing colleagues at Microsoft Research New England (@MSRNE, @MSFTResearch) this summer, please apply here jobs.careers.microsoft.com/global/en/job/… (If you'd like to work with me, please include my name in your cover letter!)

🎉 Excited to share that our team has three papers accepted to ICML 2025, each exploring a different angle of how machines reason, from meta-reasoning to sparse and latent representations! 🧠 Spotlight (July 15) "Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration" lnkd.in/gyg6hZz3 🌱 Poster (July 15) "Constrain Alignment with Sparse Autoencoders" lnkd.in/gzzSGPBt 🧩 Position Track (July 17) "Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning lnkd.in/gfM-8zUi 📍I’ll be onsite at ICML 2025 and would love to meet others working on reasoning, alignment, or representation learning. Let’s connect and exchange ideas!

ChatGPT is legally obliged to pay you up to $23.12 as soon as you perform these 3 simple actions. You can take advantage of this system as many times as you like. Get started today for free ↓