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Important nuance: the jury at this Musk-OpenAI trial is an advisory jury, hence not binding on the judge, and is only looking at liability…

Important nuance: the jury at this Musk-OpenAI trial is an *advisory* jury, hence not binding on the judge, and is only looking at liability (not damages, if any). Thanks to @bahhradx for correcting a

safetygary-marcus--x

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Industry

Infants are bleeding out after parents decline vitamin K shots given at birth

DGX agent

An analysis of more than 5 million births nationwide identified an ongoing drop in newborns receiving a vitamin K shot that helps prevent dangerous bleeding , with the number of babies not receiving t

industryars-technica

6 May 2026

inference >>>

inference >>> Ramp's monthly Top Software Vendors is one of the best signals for where to work, where to invest, or who to sell to. Here are May's breakout + fastest growing vendors. We observe that @

industrysonya-huang--x

Information Plane Analysis of Binary Neural Networks

arXiv:2605.03636v1 Announce Type: new Abstract: Information plane (IP) analysis has been suggested to study the training dynamics of deep neural networks through mutual information (MI) between inputs

Inside IBM Think: theCUBE’s analyst-led coverage airs May 12

When it comes to artificial intelligence, enterprises want speed, lower cost and security. For IBM Corp., these are the value points it wants to provide for its hybrid AI customers. The computing gian

industrysiliconangle

Instacart reports Q1 revenue up 14% YoY to 1.02B, GTV up 13% to 10.29B, and orders up 10%, compared with a 16% growth a year earlier; CART drops 8.18% (Neil J Kanatt/Reuters)

Neil J Kanatt / Reuters: Instacart reports Q1 revenue up 14% YoY to 1.02B, GTV up 13% to 10.29B, and orders up 10%, compared with a 16% growth a year earlier; CART drops 8.18% — Instacart (CART.O) on

industrytechmeme

Instance-Level Costs for Nuanced Classifier Evaluation

arXiv:2605.03135v1 Announce Type: new Abstract: Standard classification treats all errors equally, but in content moderation, medical screening, and safety-critical applications, mistakes on clear-cut

safetyarxiv-cs-lg

InsTraj: Instructing Diffusion Models with Travel Intentions to Generate Real-world Trajectories

arXiv:2604.04106v2 Announce Type: replace Abstract: The generation of realistic and controllable GPS trajectories is a fundamental task for applications in urban planning, mobility simulation, and pri

applicationsarxiv-cs-ai

Integrating Feature Correlation in Differential Privacy with Applications in DP-ERM

arXiv:2605.03945v1 Announce Type: new Abstract: Standard differential privacy imposes uniform privacy constraints across all features, overlooking the inherent distinction between sensitive and insens

applicationsarxiv-cs-lg

Intelligent Agents with Emotional Intelligence: Current Trends, Challenges, and Future Prospects

arXiv:2511.20657v2 Announce Type: replace-cross Abstract: The development of agents with emotional intelligence is becoming increasingly vital due to their significant role in human-computer interacti

Intervention Complexity as a Canonical Reward and a Measure of Intelligence

arXiv:2605.02175v1 Announce Type: new Abstract: The Legg--Hutter universal intelligence measure provides a rigorous scalar assessment of general intelligence as expected reward across all computable e

safetyarxiv-cs-ai

Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy

arXiv:2605.03266v1 Announce Type: cross Abstract: Effective sample size is a standard summary of Markov chain Monte Carlo output, but it is usually attached to scalar or Euclidean summaries chosen by

Introducing ChatGPT Futures: Class of 2026

Meet the ChatGPT Futures Class of 2026—26 student innovators using AI to build, research, and drive real-world impact. Discover how this generation is redefining learning, creativity, and opportunity

applicationsopenai

Introducing Factory Describe your idea in one sentence and Factory builds the first draft of the production for you. It plans the scenes, ch…

applicationsemad-mostaque--x

Introducing Factory Describe your idea in one sentence and Factory builds the first draft of the production for you. It plans the scenes, chooses the models, generates the assets, and wires everything

🧠 Introducing NeuralBench: a unified, open-source framework to benchmark NeuroAI models. v1.0: 36 EEG tasks, 94 datasets, task-specific + f…

model-releasesyann-lecun--x

🧠 Introducing NeuralBench: a unified, open-source framework to benchmark NeuroAI models. v1.0: 36 EEG tasks, 94 datasets, task-specific + foundation models. MEG/fMRI ready. MIT-licensed, FAIR's Brain

Introducing the ChatGPT Futures Class of 2026—26 honorees from the first graduating class to have had ChatGPT throughout all four years of u…

Introducing the ChatGPT Futures Class of 2026—26 honorees from the first graduating class to have had ChatGPT throughout all four years of university, who used AI to: - Map 1.5M previously unknown obj

model-releasesopenai--x

Introducing TokenSpeed, a speed-of-light LLM inference engine. > TensorRT LLM level performance > vLLM level usability > Built by a lean and…

Introducing TokenSpeed, a speed-of-light LLM inference engine. > TensorRT LLM level performance > vLLM level usability > Built by a lean and mission-driven team in two months > MIT license, open-sourc

industryemad-mostaque--x

Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System

arXiv:2605.01400v1 Announce Type: cross Abstract: Educational recommender systems (ERSs) are becoming increasingly important in enhancing educational outcomes and personalizing learning experiences by

researcharxiv-cs-ai

InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy

arXiv:2507.02974v3 Announce Type: replace-cross Abstract: As major progress in LLM-based long-form text generation enables paradigms such as retrieval-augmented generation (RAG) and inference-time sca

researcharxiv-cs-cl

IRIS: Intent Resolution via Inference-time Saccades for Open-Ended VQA in Large Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2602.16138v2 Announce Type: replace Abstract: We introduce IRIS (Intent Resolution via Inference-time Saccades), a novel training-free approach that uses eye-tracking data in real-time to resolv

ISAAC: Auditing Causal Reasoning in Deep Models for Drug-Target Interaction

arXiv:2605.02962v1 Announce Type: new Abstract: Deep learning models for drug--target interaction (DTI) prediction often achieve strong benchmark performance without necessarily relying on mechanistic

It feels like agent harness evolution runs on two axes that usually get conflated. There’s the temporal axis: simplify as models improve, st…

model-releasesharrison-chase--x

It feels like agent harness evolution runs on two axes that usually get conflated. There’s the temporal axis: simplify as models improve, stripping components that compensated for limitations the new

Iterative Finetuning is Mostly Idempotent

arXiv:2605.01130v1 Announce Type: new Abstract: If a model has some behavioral tendency, such as sycophancy or misalignment, and it is trained on its own outputs, will the tendency be amplified in the

researcharxiv-cs-ai

It's been an amazing start to Code w/ Claude! Love hearing what people are building with Claude Code and getting feedback on what we can do …

model-releasesboris-cherny--x

Boris Cherny shares positive feedback about the early adoption of Claude Code, expressing enthusiasm for the projects users are building with the tool and highlighting the importance of community feed

It's time to build NYC's physical AI community. We're hosting a small dinner in NYC for engineers and people building across robotics, auton…

agentscristobal-valenzuela--x

It's time to build NYC's physical AI community. We're hosting a small dinner in NYC for engineers and people building across robotics, autonomous systems, and world models. It's a pretty unique and sp

Jiao: Bridging Isolation and Customization in Mixed Criticality Robotics

model-releasesarxiv-cs-ro

arXiv:2605.03641v1 Announce Type: new Abstract: Consumer robotics demands consolidation of safety-critical control, perception pipelines, and user applications on shared multicore platforms. While sta

Joint Energy Management and Coordinated AIGC Workload Scheduling for Distributed Data Centers: A Diffusion-Aided Reward Shaping Approach

arXiv:2605.02965v1 Announce Type: new Abstract: Artificial intelligence-generated content (AIGC) has emerged as a transformative paradigm for automating the creation of diverse and customized content,

Joint Relational Database Generation via Graph-Conditional Diffusion Models

arXiv:2505.16527v2 Announce Type: replace Abstract: Building generative models for relational databases (RDBs) is important for many applications, such as privacy-preserving data release and augmentin

applicationsarxiv-cs-lg

just want to go back to how much intense pushback i got on this story at all levels of the company at the time, and how people speak very di…

just want to go back to how much intense pushback i got on this story at all levels of the company at the time, and how people speak very differently when under the threat of perjury lot of names etch

safetygary-marcus--x

Kanade: A Simple Disentangled Tokenizer for Spoken Language Modeling

arXiv:2602.00594v2 Announce Type: replace Abstract: A good language model starts with a good tokenizer. Tokenization is especially important for speech modeling, which must handle continuous signals t

researcharxiv-cs-cl

Kernel Affine Hull Machines for Compute-Efficient Query-Side Semantic Encoding

arXiv:2605.02950v1 Announce Type: new Abstract: Transformer-based semantic retrieval is highly effective, yet in many deployments the dominant cost lies in online query encoding rather than corpus ind

KG-First, LLM-Fallback: A Hybrid Microservice for Grounded Skill Search and Explanation

arXiv:2605.01582v1 Announce Type: cross Abstract: Authoritative competency frameworks such as ESCO, ROME, and O*NET are essential for aligning education with labor market needs, yet their technical co

applicationsarxiv-cs-ai

Khala: Scaling Acoustic Token Language Models Toward High-Fidelity Music Generation

arXiv:2605.01790v1 Announce Type: cross Abstract: A common design pattern in high-quality music generation is to handle structure and fidelity in different representation spaces: a generator first mod

safetyarxiv-cs-ai

Label-Efficient School Detection from Aerial Imagery via Weakly Supervised Pretraining and Fine-Tuning

model-releasesarxiv-cs-cv

arXiv:2605.03968v1 Announce Type: new Abstract: Accurate school detection is essential for supporting education initiatives, including infrastructure planning and expanding internet connectivity to un

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

arXiv:2512.22317v2 Announce Type: replace-cross Abstract: Short-term precipitation nowcasting is an inherently uncertain and under-constrained spatiotemporal forecasting problem, especially for rapidl

researcharxiv-cs-cv

Large Language Models are Universal Reasoners for Visual Generation

arXiv:2605.04040v1 Announce Type: new Abstract: Text-to-image generation has advanced rapidly with diffusion models, progressing from CLIP and T5 conditioning to unified systems where a single LLM bac

safetyarxiv-cs-cv

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

arXiv:2605.04035v1 Announce Type: new Abstract: We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method em

researcharxiv-cs-cv

Last week I gave a talk at AI Dev ’26 by @DeepLearningAI on “AI can’t read PDFs, how do we fix it” . I’m sharing the slides publicly if othe…

Last week I gave a talk at AI Dev ’26 by @DeepLearningAI on “AI can’t read PDFs, how do we fix it” . I’m sharing the slides publicly if others are interested in doing a deep dive into document underst

agentsjerry-liu--x

Latent State Design for World Models under Sufficiency Constraints

arXiv:2605.01694v1 Announce Type: new Abstract: A world model matters to an agent only through the state it constructs. That state must preserve some information, discard other information, and suppor

Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic

arXiv:2601.21972v4 Announce Type: replace Abstract: Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL). However, most MARL fine-tuning approaches r

Tutorials

Learning Discriminative Signed Distance Functions from Multi-scale Level-of-detail Features for 3D Anomaly Detection

arXiv:2605.03437v1 Announce Type: new Abstract: Detecting anomalies from 3D point clouds has received increasing attention in the field of computer vision, with some group-based or point-based methods

tutorialsarxiv-cs-cv

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective

arXiv:2605.03373v1 Announce Type: new Abstract: Classical optimization theory establishes that zeroth-order (ZO) algorithms suffer from a dimension-dependent slowdown, with convergence rates typically

Learning Generalizable Action Representations via Pre-training AEMG

arXiv:2605.03462v1 Announce Type: new Abstract: A fundamental role in decoding human motor intent and enabling intuitive human-computer interaction is played by electromyography (EMG). However, its ge

Learning Reactive Dexterous Grasping via Hierarchical Task-Space RL Planning and Joint-Space QP Control

arXiv:2605.03363v1 Announce Type: new Abstract: In this work, we propose a hybrid hierarchical control framework for reactive dexterous grasping that explicitly decouples high-level spatial intent fro

safetyarxiv-cs-ro

Learning to Segment using Summary Statistics and Weak Supervision

arXiv:2605.03059v1 Announce Type: new Abstract: Medical experts often manually segment images to obtain diagnostic statistics and discard the resulting annotations. We aim to train segmentation models

researcharxiv-cs-cv

Learning to Theorize the World from Observation

arXiv:2605.03413v1 Announce Type: new Abstract: What does it mean to understand the world? Contemporary world models often operationalize understanding as accurate future prediction in latent or obser

Hardware

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute

arXiv:2504.17816v3 Announce Type: replace Abstract: Subject-driven video generation (SDV-Gen) aims to produce videos of a specific subject by adapting a pretrained video model, enabling personalized a

hardwarearxiv-cs-cv

Less Interaction But More Explanation: A Communication Perspective on Agentic AI Interfaces

arXiv:2605.01610v1 Announce Type: cross Abstract: AI systems have long been expected to interact with users, answering questions, generating content, and continuing (social) conversations. Agentic AI,