All entries

NEW paper worth reading. A full agentic workflow can be distilled into model weights and run at roughly 100x lower inference cost while pres…

NEW paper worth reading. A full agentic workflow can be distilled into model weights and run at roughly 100x lower inference cost while preserving near-frontier task quality. The workflow includes mul

agentsdair-ai--x

Industry

Nick Shirley: 'The most powerful people in the world use X… The producers are on X… The people that are making changes in the world - they a…

DGX agent

Nick Shirley asserts that X (formerly Twitter) is a platform used by the world's most influential people, including major producers and decision-makers who drive global change. The statement emphasize

industryelon-musk--x

22 May 2026

Nicki Minaj template dropped… so I became the baddie. 🔥🚀 @Grok @Imagine

Nicki Minaj template dropped… so I became the baddie. 🔥🚀 @Grok @Imagine Media Template Drop @SpaceX Starship Baddie (inspired by @NICKIMINAJ) Modeled by @SadieSupaDoge https://grok.com/imagine/templat

industryelon-musk--x

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos

arXiv:2605.22190v1 Announce Type: new Abstract: Recent feed-forward 3D gaussian splatting methods have made dramatic progress on individual aspects of 3D scene reconstruction, but no existing method j

researcharxiv-cs-cv

Noise-Space Attribution and Control of Chunk-Boundary Artifact

arXiv:2603.11642v2 Announce Type: replace Abstract: Action chunking is widely used in generative visuomotor policies, yet the recurring execution discontinuities at chunk boundaries still lack a mecha

Non-Contact Vibration-Based Damage Detection of Civil Structures Using a Cost-Effective Autonomous UAV

arXiv:2605.21914v1 Announce Type: new Abstract: This paper presents a non-contact approach for vibration-based structural damage detection using an autonomous and customized cost-effective unmanned ae

nope you are. because openai will sell your most private data to the government.

This post appears to express concerns about OpenAI's data privacy practices and potential government data sharing, though the claim lacks specific evidence or context. Gary Marcus, an AI researcher an

safetygary-marcus--x

Not All Starting Points Are Equal: Pre-trained Priors and Their Outsized Impact on Person Identification

arXiv:2507.17640v3 Announce Type: replace Abstract: Recent years have seen an explosion of diverse general purpose pre-training methodologies for computer vision. However, the impact that these pre-tr

Not bad reply to a pretty open-ended prompt: 'this is the original train movie that supposedly terrified audiences. edit it so that it is as…

applicationsethan-mollick--x

Not bad reply to a pretty open-ended prompt: 'this is the original train movie that supposedly terrified audiences. edit it so that it is as scary to modern audiences as the original was to its audien

NuExtract3 released: open-weight 4B VLM for Markdown, OCR and structured extraction (self-hostable) [P]

model-releasesr-machinelearning

NuExtract3 is a unified 4B vision-language reasoning model for document understanding that combines structured information extraction with image-to-Markdown conversion, suitable for OCR and RAG prepro

Observability for any agent, anywhere: Production-ready tracing with OpenTelemetry & Unity Catalog on Databricks

Databricks provides production-ready observability solutions for AI agents using OpenTelemetry integration and Unity Catalog, enabling comprehensive tracing and monitoring across distributed agent dep

agentsdatabricks

OCELOT: Odometry and Contact Estimation for Legged Robots

arXiv:2605.21863v1 Announce Type: new Abstract: One of the significant challenges in legged robotics is achieving accurate odometry using only onboard proprioceptive sensors. In this study, we present

researcharxiv-cs-ro

On the Complexity of Entailment for Cumulative Propositional Dependence Logics

arXiv:2605.21113v1 Announce Type: cross Abstract: This paper establishes and proves complexity results for entailment for cumulative propositional dependence logic and for cumulative propositional log

one of the best decisions i made was to start tracing my claude code sessions into LangSmith. Has been a game changer to be able to share my…

model-releasesharrison-chase--x

one of the best decisions i made was to start tracing my claude code sessions into LangSmith. Has been a game changer to be able to share my conversations, track usage patterns, monitor cost. And w ne

One prompt is not enough: Instruction Sensitivity Undermines Embedding Model Evaluation

arXiv:2605.22544v1 Announce Type: new Abstract: Instruction embedding models have become common among state-of-the-art models, however are evaluated using a single prompt per task. The single-point ev

researcharxiv-cs-cl

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

arXiv:2605.22144v1 Announce Type: new Abstract: Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to sat

One underrated part of SpaceX’s S-1: Starlink is becoming emergency connectivity infrastructure when traditional networks fail We’ve seen th…

One underrated part of SpaceX’s S-1: Starlink is becoming emergency connectivity infrastructure when traditional networks fail We’ve seen that during hurricanes and wildfires, when ground networks wer

applicationselon-musk--x

oops! wild update, strongly supports @emollick’s overall take:

model-releasesgary-marcus--x

oops! wild update, strongly supports @emollick’s overall take: I have to eat crow on this, in light of further information. whatever OpenAI spent on Erdos using a new model, apparently you can get GPT

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

arXiv:2410.12771v2 Announce Type: replace-cross Abstract: The ability to discover new materials with desirable properties is critical for numerous applications from helping mitigate climate change to

Open-source AI is pulling Dell’s entire portfolio into play

Open-source AI agents are changing software development, empowering both developers and citizen builders alike in a domain once reserved for professional engineers. But the influx of agents now spread

agentssiliconangle

Open-source clinical AI is a niche that most days feels like shouting into a PubMed-shaped void. And yet. 5,000 of you are here, building Op…

Open-source clinical AI is a niche that most days feels like shouting into a PubMed-shaped void. And yet. 5,000 of you are here, building OpenMed in the open with me. Thank you. More models, more data

industryclem-delangue--x

Open-source LLMs administer maximum electric shocks in a Milgram-like obedience experiment

arXiv:2605.21401v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents that make sequences of decisions over extended interactions in high-stakes

safetyarxiv-cs-ai

Open weight models running on open source harnesses solve this problem. One of these days, American companies will wake up to the same solut…

Open weight models running on open source harnesses solve this problem. One of these days, American companies will wake up to the same solution we pioneered decades ago that Chinese teams are now runn

agentsyann-lecun--x

Open-World Evaluations for Measuring Frontier AI Capabilities

model-releasesarxiv-cs-ai

arXiv:2605.20520v1 Announce Type: new Abstract: Benchmark-based evaluation remains important for tracking frontier AI progress. But it can both overstate and understate deployed capability because it

OpenAI named a Leader in enterprise coding agents by Gartner

OpenAI has been recognized as a Leader in Gartner's 2026 evaluation of enterprise coding agents, highlighting its competitive position in AI-powered code generation and software development tools. Thi

applicationsopenai

OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization

arXiv:2605.22104v1 Announce Type: new Abstract: Real-world image restoration is challenging due to complex and interacting mixed degradations. Recent agent-based approaches address this problem by com

agentsarxiv-cs-cv

Optical Quantum Mixed-State Reconstruction With Multiple Deep Learning Approaches

arXiv:2407.01734v4 Announce Type: replace-cross Abstract: Quantum state tomography is a crucial technique for characterizing the state of a quantum system, which is essential for many applications in

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI

arXiv:2507.05660v3 Announce Type: replace-cross Abstract: Customizing Large Language Models (LLMs) on untrusted datasets poses severe risks of injecting toxic behaviors. In this work, we introduce Opt

safetyarxiv-cs-cl

Hardware

ORBIS: Output-Guided Token Reduction with Distribution-Aware Matching for Video Diffusion Acceleration

arXiv:2605.22015v1 Announce Type: new Abstract: Diffusion Transformer (DiT) has emerged as a powerful model architecture for generating high-quality images and videos. In the case of video DiT, 3D Spa

hardwarearxiv-cs-cv

Organic adoption becomes the real measure of successful IT platform rollouts

IT teams are under growing pressure to do more than keep the lights on — employees now expect the same seamless digital experiences at work that they get in their personal lives. Freshservice transfor

industrysiliconangle

OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind

model-releasesarxiv-cs-ai

arXiv:2605.20423v1 Announce Type: new Abstract: Large Language Models (LLMs) perform well on many language tasks, but their Theory of Mind (ToM) reasoning is still uneven in complex social settings. E

OSS: Open Suturing Skills Vision-Based Assessment Challenge 2024-2025

arXiv:2605.22200v1 Announce Type: new Abstract: Achieving high levels of surgical skill through effective training is essential for optimal patient outcomes. Automated, data-driven skill assessment ho

Hardware

PALS: Power-Aware LLM Serving for Mixture-of-Experts Models

arXiv:2605.21427v1 Announce Type: new Abstract: Large language model (LLM) inference has become a dominant workload in modern data centers, driving significant GPU utilization and energy consumption.

hardwarearxiv-cs-ai

Parallel OctoMapping: A Scalable Framework for Enhanced Path Planning in Autonomous Navigation

arXiv:2603.22508v2 Announce Type: replace Abstract: Mapping is essential in robotics and autonomous systems because it provides the spatial foundation for path planning. Efficient mapping enables plan

PartCo: Part-Level Correspondence Priors Enhance Category Discovery

arXiv:2509.22769v2 Announce Type: replace Abstract: Generalized Category Discovery (GCD) aims to identify both known and novel categories within unlabeled data by leveraging a set of labeled examples

Pattern-and-root inflectional morphology: the Arabic broken plural

arXiv:2605.22310v1 Announce Type: new Abstract: We present a substantially implemented model of description of the inflectional morphology of Arabic nouns, with special attention to the management of

researcharxiv-cs-cl

Perception or Prejudice: Can MLLMs Go Beyond First Impressions of Personality?

arXiv:2605.22109v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) are increasingly deployed in human-facing roles where personality perception is critical, yet existing benchm

Tutorials

Personality Engineering with AI Agents: A New Methodology for Negotiation Research

arXiv:2605.20554v1 Announce Type: new Abstract: According to canonical negotiation theory, people's success in a negotiation depends on how well they balance competing demands--empathizing and asserti

tutorialsarxiv-cs-ai

PGDG: Physically Grounded Data Generation for Robust Bimanual Policy Learning from a Single Demonstration

arXiv:2605.21710v1 Announce Type: new Abstract: Behavior cloning for contact-rich bimanual manipulation remains challenging because diverse demonstrations are expensive to collect, and even small dist

Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin

arXiv:2605.22044v1 Announce Type: new Abstract: Accurate localization of myocardial infarction is essential for risk stratification. While LGE-MRI remains the gold standard, it is resource-intensive.

PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects

arXiv:2605.21572v1 Announce Type: new Abstract: Simulation-ready physical 3D assets have emerged as a promising direction owing to their broad applicability in downstream tasks. However, most existing

safetyarxiv-cs-cv

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

arXiv:2605.22311v1 Announce Type: new Abstract: Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as model

researcharxiv-cs-cv

Planning in the LLM Era: Building for Reliability and Efficiency

arXiv:2605.21902v1 Announce Type: cross Abstract: Growing attention to intelligent agents has put a spotlight on one of their central capabilities: planning. Early attempts to leverage large language

researcharxiv-cs-cl

PointLLM-R: Enhancing 3D Point Cloud Reasoning via Chain-of-Thought

arXiv:2605.22013v1 Announce Type: new Abstract: Understanding 3D point clouds through language remains a fundamental challenge in computer graphics and visual computing, due to the irregular structure

applicationsarxiv-cs-cv

Polite on the Surface, Wrong in Practice: A Curated Dataset for Fixing Honorific Failures in Multilingual Bangla Generation

model-releasesarxiv-cs-cl

arXiv:2605.22487v1 Announce Type: new Abstract: Recent advances in Multilingual Large Language Models (MLLMs) have significantly enhanced cross-lingual conversational capabilities, yet modeling cultur

PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation

arXiv:2605.20274v1 Announce Type: cross Abstract: Hexahedral meshes are widely used in simulation pipelines, yet automatic generation remains challenging for complex CAD geometries. Polycube-based hex

Pre-VLA: Preemptive Runtime Verification for Reliable Vision-Language-Action and World-Model Rollouts

arXiv:2605.22446v1 Announce Type: new Abstract: While large vision-language-action (VLA) models and generative world models (WM) have advanced long-horizon embodied intelligence, their practical deplo

President Emmanuel Macron says France will invest an additional €1B for quantum computing research and a further €550M in state funding for semiconductors (France 24)

France 24: President Emmanuel Macron says France will invest an additional €1B for quantum computing research and a further €550M in state funding for semiconductors — Bruyères-le-Châtel (France) (AFP

industrytechmeme