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If Claude is good enough for Nobel Prize winners it is good enough for you https://arxiv.org/abs/2606.03300

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This post appears to reference Claude AI's capabilities and performance, likely highlighting how the model has been used or endorsed by notable researchers or Nobel Prize winners to establish credibil

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Hardware

If scale was “all you need”, Elon would be hoarding LLMs, not leasing them.

DGX agent

If scale was “all you need”, Elon would be hoarding LLMs, not leasing them. Last year: people had to steal GPU’s from armored trucks. This year: SpaceX is leasing to GPUs left, right, and center, beca

hardwaregary-marcus--x

5 Jun 2026

Illinois Governor JB Pritzker plans to temporarily halt tax breaks for data centers from July 1, calling on state lawmakers to create a development framework (Natasha Korecki/NBC News)

Natasha Korecki / NBC News: Illinois Governor JB Pritzker plans to temporarily halt tax breaks for data centers from July 1, calling on state lawmakers to create a development framework — Pritzker, wh

industrytechmeme

I’m sick and tired of chat threads. Instead, for the muddiest of tasks, I make fully dynamic interfaces - some that are only used for one ta…

industryallie-k--miller--x

I’m sick and tired of chat threads. Instead, for the muddiest of tasks, I make fully dynamic interfaces - some that are only used for one task or one meeting. Check out the video below. I’ve got 6 rea

Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction

arXiv:2606.05769v1 Announce Type: new Abstract: Video event prediction (VEP) requires models to infer unobserved future states from partial video evidence. Existing video MLLMs usually verbalize inter

researcharxiv-cs-cv

Improving Answer Extraction in Context-based Question Answering Systems Using LLMs

model-releasesarxiv-cs-cl

arXiv:2606.06197v1 Announce Type: new Abstract: Question answering (QA) systems have achieved notable progress with the advent of large language models (LLMs). However, they still face challenges in a

Improving Heart-Focused Medical Question Answering in LLMs via Variance-Aware Rubric Rewards with GRPO

arXiv:2606.05174v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown strong promise in healthcare applications. Yet deploying general-purpose models in real-world settings remains d

local-aiarxiv-cs-cl

Agents

In an internal message, Satya Nadella rebuked an internal memo that said Microsoft needs to 'make people addicted' to its new AI agent product called Scout (Aaron Holmes/The Information)

Aaron Holmes / The Information: In an internal message, Satya Nadella rebuked an internal memo that said Microsoft needs to “make people addicted” to its new AI agent product called Scout — Microsoft

agentstechmeme

In-Context Multiple Instance Learning

arXiv:2606.06458v1 Announce Type: cross Abstract: Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of bags of instances and has been successfully applied

applicationsarxiv-cs-cv

India-based Innefu Labs, which builds AI-powered software for national defense and enterprise security infrastructure, raised a $30M Series B led by Panthera (The Economic Times)

The Economic Times: India-based Innefu Labs, which builds AI-powered software for national defense and enterprise security infrastructure, raised a $30M Series B led by Panthera — The capital infusion

applicationstechmeme

InfoDensity: Rewarding Information-Dense Traces for Efficient Reasoning

arXiv:2603.17310v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) with extended reasoning capabilities often generate verbose and redundant reasoning traces, incurring unnecessary

InfoShield: Privacy-Preserving Speech Representations for Mental Health Screening via Information-Theoretic Optimization

arXiv:2606.05561v1 Announce Type: new Abstract: Speech-based mental health screening offers scalable depression detection, yet clinical deployment faces a significant barrier: users' privacy concerns

Interpreting Style Representations via Style-Eliciting Prompts

arXiv:2606.05716v1 Announce Type: new Abstract: Style representation learning is a powerful tool for authorship analysis and modeling writing style, yet the latent nature of learned representations ma

Introducing Ideogram 4 from @ideogram_ai on Together AI, an open image model built for design with strong text rendering, layout control, an…

applicationstogether-ai--x

Introducing Ideogram 4 from @ideogram_ai on Together AI, an open image model built for design with strong text rendering, layout control, and native 2K image generation. AI natives can now use Ideogra

Inverse Design of Realizable Metasurface based Absorbers using Improved Conditioning and Diversity Enhanced Progressively Growing GANs

arXiv:2606.05849v1 Announce Type: cross Abstract: Metasurfaces enable precise manipulation of electromagnetic waves for applications such as beam steering, sensing, and stealth technology. However, in

Inverse Manipulation through Symbolic Planning and Residual Operator Learning

arXiv:2606.05248v1 Announce Type: new Abstract: Inverting a robotic task requires more than reversing symbolic state transitions or rewinding motor trajectories. In robot manipulation tasks, symbolic

IR3DE: A Linear Router for Large Language Models

arXiv:2606.06098v1 Announce Type: new Abstract: Foundational Large Language Models (LLMs) demonstrate proficiency on a wide range of general tasks, and achieve remarkable results on various specialize

Is Diversity All You Need for Scalable Robotic Manipulation?

arXiv:2507.06219v2 Announce Type: replace Abstract: Data scaling has driven remarkable success in foundation models for Natural Language Processing (NLP) and Computer Vision (CV), yet the principles o

Is This Edit Correct? A Multi-Dimensional Benchmark for Reasoning-Aware Image Editing

model-releasesarxiv-cs-cv

arXiv:2606.05172v1 Announce Type: cross Abstract: Diffusion-based image editing has achieved strong visual fidelity under natural language instructions, yet most existing systems still operate at the

Tools

Isomorphic likely that every single person in that game was already familiar with this

Isomorphic likely that every single person in that game was already familiar with this Levels of Mafia/Werewolf/Secret Hitler: • You play, poorly • You play, skillfully • You play, poorly, so that peo

toolsswyx--x

It was a pleasure to discuss all of these topics on @NxThompson's podcast, The Most Interesting Thing in AI. Thanks for having me on! https:…

Yoshua Bengio appeared as a guest on 'The Most Interesting Thing in AI' podcast hosted by N.X. Thompson, where he discussed various topics related to artificial intelligence. The appearance was shared

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It's the time of the year when you shouldn't come to New York if you are not planning on moving permanently.

industrycristobal-valenzuela--x

It's the time of the year when you shouldn't come to New York if you are not planning on moving permanently. It's the time of the year when you shouldn't come to New York if you are not planning on mo

Join us now!

This is a social media post from ComfyUI's X (Twitter) account inviting users to join their community or platform. Without access to the specific post content, it likely promotes ComfyUI's node-based

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Join us on a live interview with the CEO of ComfyUI!

Join us on a live interview with the CEO of ComfyUI! Today on TWiST, we're joined by @yoland_yan, Founder/ CEO of @ComfyUI. With 4M users, 150K downloads a day, and a $500M valuation from Craft, @Comf

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⚠️ Keep your eye on the ball, and don’t panic over Anthropic’s new blog. Here’s why: Anthropic is trying to strike terror into everyone’s he…

⚠️ Keep your eye on the ball, and don’t panic over Anthropic’s new blog. Here’s why: Anthropic is trying to strike terror into everyone’s hearts – “full recursive self-improvement also might increase

safetygary-marcus--x

Knowledge Distillation for Visual Autoregressive Models

arXiv:2606.06078v1 Announce Type: new Abstract: Autoregressive (AR) image generation models are highly expressive but computationally intensive, motivating effective model compression. Knowledge disti

researcharxiv-cs-cv

KV-Control: Parameter-Efficient K/V Injection for Trajectory-Controlled Text-to-Motion

model-releasesarxiv-cs-cv

arXiv:2606.05624v1 Announce Type: new Abstract: Text-conditioned 3D human motion models now synthesize plausible motions from prompts, but practical animation and embodied-agent workflows rarely stop

L-SDPPO: Policy Optimization of Spiking Diffusion Policy for Intra-vehicular Robotic Manipulation

arXiv:2606.06049v1 Announce Type: new Abstract: Intra-vehicular robots in spacecraft help reduce astronaut workload and improve mission efficiency. Recent research focuses on using deep learning metho

LadderMan: Learning Humanoid Perceptive Ladder Climbing

arXiv:2606.05873v1 Announce Type: cross Abstract: Humanoid robots hold great promise for operating in human-centered environments, yet ladder climbing remains one of the most challenging tasks due to

LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations

arXiv:2606.05182v1 Announce Type: new Abstract: Large language models discard critical details when conversation history is compacted to fit within finite context windows. We present LANTERN (Layered

applicationsarxiv-cs-cl

Large Language Models are Perplexed by some Political Parties

arXiv:2606.05937v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used, including in political applications, but their political fairness has been little studied. We assess

safetyarxiv-cs-cl

Last night, I read the entirety of C.S. Lewis' The Screwtape Letters. It's a novel told in the form of letters written by a demon to another…

Last night, I read the entirety of C.S. Lewis' The Screwtape Letters. It's a novel told in the form of letters written by a demon to another demon instructing him on ways to manipulate his 'patient' t

industryelon-musk--x

Hardware

Last year: people had to steal GPU’s from armored trucks. This year: SpaceX is leasing to GPUs left, right, and center, because Xai couldn’t…

Last year: people had to steal GPU’s from armored trucks. This year: SpaceX is leasing to GPUs left, right, and center, because Xai couldn’t figure out what to do with them. SpaceX just disclosed a ne

hardwaregary-marcus--x

Latent Implicit Visual Reasoning

arXiv:2512.21218v2 Announce Type: replace Abstract: While Large Multimodal Models (LMMs) have made significant progress, they remain largely text-centric, relying on language as their core reasoning m

researcharxiv-cs-cv

Latent Reasoning with Normalizing Flows

arXiv:2606.06447v1 Announce Type: new Abstract: Large language models often improve reasoning by generating explicit chain-of-thought (CoT), demonstrating the importance of intermediate computation. H

safetyarxiv-cs-cl

LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents

model-releasesarxiv-cs-cl

arXiv:2606.06087v1 Announce Type: new Abstract: Agent systems increasingly use textual skills to encode reusable task procedures, but injecting these skills into the prompt at every step incurs substa

LeanMarathon: Toward Reliable AI Co-Mathematicians through Long-Horizon Lean Autoformalization

arXiv:2606.05400v1 Announce Type: cross Abstract: Long-horizon autoformalization of research mathematics fails not only at hard lemmas, but at scale: statements drift, dependencies tangle, context dec

local-aiarxiv-cs-cl

Learning Contact Representation for Leg Odometry

arXiv:2606.05501v1 Announce Type: new Abstract: The estimation of odometry in legged robots depends on the assumption that the velocity of the foot with respect to the world remains zero during the st

researcharxiv-cs-ro

Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract

arXiv:2606.05422v1 Announce Type: new Abstract: Learning from demonstratins (LfD) is usually performed over Euclidean spaces, while the robot state, e.g. orientation, naturally evolves over curved spa

researcharxiv-cs-ro

Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models

arXiv:2606.05833v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) excel at 2D semantic understanding but lack intrinsic 3D awareness, resulting in representations that fail to m

applicationsarxiv-cs-cv

Learning of Robot Safety Policies via Adversarial Synthetic Scenarios

arXiv:2606.05952v1 Announce Type: new Abstract: In this work, we propose an agentic gamification framework for hazard-informed learning of robot safety policies through synthetic scenarios. We model s

Learning Predictive Visuomotor Coordination

arXiv:2503.23300v2 Announce Type: replace Abstract: Understanding and predicting human visuomotor coordination is crucial for applications in robotics, human-computer interaction, and assistive techno

applicationsarxiv-cs-cv

Tutorials

Learning Self-Correction in Vision-Language Models via Rollout Augmentation

arXiv:2602.08503v2 Announce Type: replace-cross Abstract: Self-correction is essential for solving complex reasoning problems in vision-language models (VLMs). However, existing reinforcement learning

tutorialsarxiv-cs-cl

Learning to Route LLMs from Implicit Cost-Performance Preferences via Meta-Learning

arXiv:2606.06178v1 Announce Type: cross Abstract: Large language models (LLMs) present a trade-off between performance and cost, where more powerful models incur greater expense. LLM routing aims to m

Learning Visual Spatial Planning from Symbolic State via Modality-Gap-Aware Self-Distillation

arXiv:2606.06076v1 Announce Type: cross Abstract: While vision-language models excel at general multimodal understanding, they still struggle with visual spatial planning. We attribute this to a perce

Learning What to Forget: Improving LLM Unlearning via Learned Token-Level Importance

arXiv:2606.06320v1 Announce Type: cross Abstract: Machine unlearning aims to remove targeted knowledge from a trained model while preserving its general capabilities. For autoregressive language model

Less is MoE: Trimming Experts in Domain-Specialist Language Models

model-releasesarxiv-cs-cl

arXiv:2606.05538v1 Announce Type: cross Abstract: Mixture-of-Experts (MoE) models achieve strong performance through conditional computation, but their large parameter footprint poses deployment chall

Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models

arXiv:2606.05737v1 Announce Type: new Abstract: Diffusion-based vision-language-action (VLA) models often inherit the image-generation view: actions are generated by iterative denoising. We argue that