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05 entriesWhen and Why Do Linear Bias Probes Fail? A Geometric and Statistical Theory of Bias Detectability in Large Language Model Representations
stat.ML updates on arXiv.org · All sources / Research · 5h ago
PRQuant: Permutation Residual Quantization for Low-Overhead Inference
cs.LG updates on arXiv.org · All sources / Research · 5h ago
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Hugging Face - Blog · All sources / Blogs · 9h ago
Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
NVIDIA Technical Blog · All sources / Industry · 11h ago
Amazon launches research initiative with Stanford University to advance AI and science
Amazon Science homepage · All sources / Research · 13h ago
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Xiaomi releases MiMo-V2.6: "Frontier intelligence, all the modalities, built in public." [N]
Paper on ArXiv for a year now, should I disclose about it in ICLR submission? [Discussion]
Jev's calibration was measured. The LLMs won [D]
I built a framework-free prototype learner that lets local LLMs learn and correct facts instantly (1.6x–4x faster than backprop)[R]
PRQuant: Permutation Residual Quantization for Low-Overhead Inference
Abstract page for arXiv paper 2609.22106: PRQuant: Permutation Residual Quantization for Low-Overhead Inference
Generalized Multimodal Foundation Model
Abstract page for arXiv paper 2609.22107: Generalized Multimodal Foundation Model
Correcting Learning-based Perception for Safety
Abstract page for arXiv paper 2609.22108: Correcting Learning-based Perception for Safety
When and Why Do Linear Bias Probes Fail? A Geometric and Statistical Theory of Bias Detectability in Large Language Model Representations
Abstract page for arXiv paper 2609.22337: When and Why Do Linear Bias Probes Fail? A Geometric and Statistical Theory of Bias Detectability in Large Language Model Representations
RLVR is a Kernel, Not a Function: Statistical Inference for pass@$k$ Crossovers
Abstract page for arXiv paper 2609.22547: RLVR is a Kernel, Not a Function: Statistical Inference for pass@$k$ Crossovers
Locally Private Inference for Riemannian Stochastic Optimization
Abstract page for arXiv paper 2609.22642: Locally Private Inference for Riemannian Stochastic Optimization
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
A Blog post by Multiverse Computing on Hugging Face
tokenizers v1: encode, decode and scaling, measured
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Simplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability…
How to Evaluate AI Agents From Tool Calls to Task Completion
When you ship an AI agent, the key question is whether it can execute a chain of work across dozens of sequential tool calls against a live environment…
Turn Your Latest Observations Into Timely Weather Decisions With NVIDIA Earth-2
Weather-sensitive industries increasingly have access to observations that offer an earlier, more local view of changing conditions.
Amazon launches research initiative with Stanford University to advance AI and science
The collaboration aims to advance research while broadening participation and translating discovery into real-world solutions.
Advancing AI for biology: Teaching models to design and characterize antibodies
Three new papers from Amazon Bio Discovery address bottlenecks in AI-driven antibody engineering, from benchmarking binding predictors to experimentally validating de novo design.
Why don’t machine learning research agents overfit?
New research shows that AI agents — like human research communities — learn strategies compressible enough to fit in a few tokens, which prevents memorization and explains why ben…
xAI’s Grok 4.6 is now available in Amazon Bedrock
xAI's Grok 4.6 is now available in Amazon Bedrock: a frontier model for long-running agents, coding, and knowledge work, with a 500K token context window and four reasoning effort…
How BMW Group detects cost anomalies across 14,000 cloud accounts
BMW Group operates CLEA, a FinOps platform monitoring more than 14,000 cloud accounts. This post shows how BMW added automated daily cost anomaly detection, moving from reactive d…
Run Positron on Amazon SageMaker AI for data science workflows
Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an X…
NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories
The new qualification program helps AI factory builders identify products that meet applicable NVIDIA DSX requirements, starting with battery energy storage systems and cooling di…
Why Deploying Physical AI at Scale Demands Safety at Every Layer
Physical AI safety spans hardware, software and validation. See how NVIDIA Halos brings full-stack safety to autonomous vehicles and robots.
From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale
AI factories are also coming online across South Africa, Morocco and Nigeria, enabling Africa’s developers and enterprises to reach production-scale compute onshore.
Trump Proposes ‘AI Force’ as US, China Discuss AI Safety Channel
Trump proposes an AI Force as the US and China discuss a safety channel for serious AI incidents. Here’s what IT leaders should watch closely.
Figure’s Robot Entered 30 Unseen Homes — and Succeeded 56% of the Time
Figure says Helix 2.5 completed household tasks across 30 unseen homes with a 56% success rate, showing progress but also a large reliability gap.
Toyota Eyes 400,000 Factory Robots in $6.4B Modernization Push
Toyota could deploy 400,000 robots in a $6.4 billion modernization push designed to preserve worker expertise and improve global factory operations.
Improving synthesis prediction of small molecules at scale with RetroChimera
Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model…
Called to serve: Tech, research, and positive impact with Chris White
Lab Director Chris White has worked on research challenges with real-world implications—from new approaches to wartime data analysis to tools for combating human trafficking. He t…
GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to…
How Virus-like ‘Jumping Genes’ Became Our Partners in Evolution
Half of our genome is made of transposons — snips of DNA that can move and copy themselves. But they’re more than parasites or genetic junk.
Mathematicians Build Long-Awaited Graph Sandwich
The proof of a decades-old conjecture has given researchers a new way to understand complex networks.
Where Does the Quantum World End and Ours Begin?
Jonathan Halliwell explains how quantum decoherence is key to understanding how we transition from a world with a wave-like nature of matter and energy to the classical macroscopi…
The Impact of AI on Podcasting (Harvard Data Science Review Cross-Post)
Originally aired on the Harvard Data Science Review podcast. What can podcasting teach us about AI — and what can AI teach us about the future of podcasting? Katie Malone (that's…
Better Know A Benchmark: ExploitGym
When OpenAI's frontier models were caught hacking Hugging Face's servers, most people assumed they were hunting for answer keys. The real story is stranger and more unsettling. Ka…
Constitutional AI
How do you teach a model the difference between helpful and harmful when it has no inherent sense of either? This episode dives into Constitutional AI, Anthropic's framework for t…
AI co-scientists are revolutionizing how research is done
Artificial-intelligence systems can generate hypotheses, design experiments and analyse data — but humans still need to decide what makes sense.
Generating protein hydrogels with customizable stress relaxation behavior via deep learning-driven entanglement design
Protein hydrogels are promising artificial extracellular matrices (ECMs) for 3D stem cell and organoid culture due to their favorable stress relaxation behavior (a decrease in str…
Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems
Uncertainty quantification in PDE inverse problems is essential in many applications. Scientific machine learning and AI enable data-driven learning of model components while pres…
A new chapter for MIT Reads
The popular MIT Reads program will begin a new focus on fiction and memoir as a way to help the MIT community celebrate the power of storytelling and strengthen social connection.
New AI technique could make minimally invasive surgeries safer and more precise
Researchers designed an AI-driven system that could boost the safety and speed of minimally invasive surgical procedures by rapidly matching X-rays captured during surgery with a…
Measure by measure, studying society accurately
Naoki Egami is an MIT political scientist specializing in the methodology of research, including the question of “external validity” — whether the results of particular studies ap…
New experts join Google’s AI & Economy team
We are expanding our AI & Economy team with world-class academic advisors, fellows, and core internal researchers.
Co-creating the future of fashion with Google
Google worked side-by-side with designers Jane Wade and Sergio Hudson to custom-design Google Flow tools to prep for NYFW.
Making global data easier to explore
Google and the UN system have launched the UN System Data Commons, a new open platform making global statistics accessible and easy to search.
Dynamically Scaled Activation Steering
Activation steering has emerged as a powerful method for guiding the behavior of generative models towards desired outcomes such as toxicity…
REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms…
DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
Diffusion large language models are a compelling alternative to autoregressive models, yet existing RL methods for diffusion treat all…
What a crowdsourced game revealed about steering Olmo 3
A crowdsourced game built on Olmo 3 showed how people can exploit unexpected model behaviors to stress-test prosocial AI evaluations—and how open access to a model’s internals can…
Teaching future scientists to interrogate AI tools for scientific discovery
University of Washington students put Ai2’s AutoDiscovery to the test, showing how AI can surface promising scientific leads while making human judgment, domain expertise, and rig…
How Goodfire used Ai2’s open post-training stack to trace unwanted model behavior
Goodfire used Ai2’s fully open post-training stack to predict LLM behavioral changes, trace unwanted model behavior back to individual training examples, and test targeted fixes w…
#502 – Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung
Andrew Scull is a historian of psychiatry. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep502-sc See below for timestamps, transcript, and to…
#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux
DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep501…
#500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football
Khabib Nurmagomedov is one of the greatest fighters of all time, who retired from the UFC undefeated with a perfect 29-0 record. We did this conversation entirely in Russian. It’s…
New AI technique could make minimally invasive surgeries safer and more precise
Researchers designed an AI-driven system that could boost the safety and speed of minimally invasive surgical procedures by rapidly matching X-rays captured during surgery with a…
New method enables AI for safety-critical situations
HardFlow is a new algorithm developed at MIT that helps pretrained generative AI models satisfy hard constraints while improving solution quality without retraining, in applicatio…
MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines
A weeklong summer workshop brought higher-education faculty to MIT's campus to explore how AI and machine learning materials can be adapted for their classrooms.
Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking are our most advanced live dialogue models yet, built for natural conversation.
AlphaGenome Atlas: A predictive map of every possible DNA letter change in the human genome
Explore AlphaGenome Atlas, a catalogue predicting the molecular effects and AVI scores for 9 billion single-nucleotide variants across the human genome.
Introducing WeatherNext 3, our most advanced and accurate global weather AI model
WeatherNext 3, our most advanced global weather AI model, is now in Search, Gemini, Maps, Google Maps Platform, and Cloud.
Book Review: Data Centric Machine Learning with Python
I recently read the book Data Centric Machine Learning with Python . The thesis of the book is that Machine Learning (ML) pipelines benefit ...
Book Review: Domain Specific Small Language Models
Artificial Intelligence (AI) powered applications are changing the way we consume and use information. Retrieval Augmented Generation (RAG) ...
Book Review: Software Engineering for Data Scientists
As a Software Engineer (backend Web Development then Search) turned Data Scientist, I was particularly interested in what the book Software ...
How Open Models Are Driving AI Research
NVIDIA open models from Nemotron, Cosmos and BioNeMo are fueling the field's biggest research questions at ICML 2026.
NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale
New NVIDIA Research breakthroughs show how training at scale — across gripper types, driving scenarios and virtual worlds — creates AI that generalizes to diverse applications.
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
New physical AI agent skills, powered by NVIDIA Cosmos 3, help researchers accelerate data generation, simulation, policy training and evaluation for autonomous system development.
Harness Engineering for Self-Improvement
The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellec…
Scaling Laws, Carefully
Scaling laws are one of the most critical empirical findings in deep learning. The observation is simple in form: the training loss $L$ decreases predictably as we scale up model…
Why We Think
Special thanks to John Schulman for a lot of super valuable feedback and direct edits on this post. Test time compute (Graves et al. 2016, Ling, et al. 2017, Cobbe et al. 2021) an…
Domain-Specific AI Should Focus on Workflows Rather Than Modeling
I spent the past few years working on AI for health. Starting with custom multimodal encoders, post-training, and sophisticated multi-agent architecturs, I now see modeling work b…
AI Evaluation is Becoming an Exciting Standalone Discipline
Having worked on robustness problems during my PhD, I see many of the characteristics appearing in the evaluation of LLMs and AI systems. Adversarial attacks such as jailbreaks ar…
SenseNova U1 training code and dataset are open-sourced. How is it different from other text-to-image models?
JudgeOS V5.7 / EBH — The Governance Firewall Above AI, Robots, Agents, and Autonomous Workflows
“GenalShift (mi función de activación) ha superado a ReLU en CIFAR-10 entrenando una ResNet18 desde cero: 92.33% vs 92.07% (+0.26%). Código abierto en GitHub. #IAsoberana #DeepLearning”
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge
1. Motivation
Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion
This article aims at reviewing a Alzheimer’s spatiotemporal disease progression predictive model called Brain Latent Progression (BrLP). All in all, this is ...
A Survey of popular LLM Evaluation Metrics
Large Language Models (LLMs) are increasingly applied to critical domains such as medical report generation, where accuracy and trust are essential. Evaluati...
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Showing 180 of 991 loaded entries. Search and all-headlines view include all available entries in this section. Browse the feed archive.