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arXiv:2511.15692v2 Announce Type: replace Abstract: This paper introduces SS-MixNet, a lightweight and effective deep learning model for hyperspectral image (HSI) classification. The architecture inte

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HypoAgent: An Agentic Framework for Interactive Abductive Hypothesis Generation over Knowledge Graphs

DGX agent

arXiv:2605.31370v1 Announce Type: new Abstract: Abductive reasoning over knowledge graphs aims to generate logical hypotheses that explain observed entities or facts. Existing controllable hypothesis

agentsarxiv-cs-ai

1 Jun 2026

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds

model-releasesarxiv-cs-cl

arXiv:2510.15614v3 Announce Type: replace Abstract: Many scientific problems are underdetermined: multiple distinct hypotheses are equally consistent with the same observations. In such settings, effe

Local Ai

I built a fully-local app that themes an entire 100-card Magic deck and generates custom card art with FLUX + ComfyUI — same deck, any theme

local-air-stablediffusion

A developer created a local application that automatically themes an entire 100-card Magic: The Gathering deck and generates custom card artwork using FLUX and ComfyUI, enabling users to apply consist

Local Ai

I compared 62 samplers and 16 schedulers for WAN 2.1 image generation and rated the image quality so you don't have to 😬

local-air-stablediffusion

A comprehensive comparison study of 62 different samplers and 16 schedulers used in WAN 2.1 image generation, with systematic quality ratings to help users understand which combinations produce the be

I find debates over whether companies find AI useful to be odd at this point I talk to leadership teams at lots of big firms, and it is pret…

tutorialsethan-mollick--x

I find debates over whether companies find AI useful to be odd at this point I talk to leadership teams at lots of big firms, and it is pretty universal that they are getting obvious and real value. T

I have found it, the Platonic form of every New York Times op-ed.

Elon Musk shared a post claiming to have identified a universal template or archetypal structure common to New York Times opinion columns. The post likely critiques recurring patterns, argumentative s

i know it's backwards order, but experiment #2: https://x.com/ActiveGraphAI/status/2061106299748909090?s=20

i know it's backwards order, but experiment #2: https://x.com/ActiveGraphAI/status/2061106299748909090?s=20 [New Technical Blog Post] In our second longmemeval experiment, we introduce semantic ingest

agentsyohei-nakajima--x

I like how Grok Build steadily updates the experiment notes for the optimization goal I gave it this weekend. It’s a big job, even for me.

Elon Musk praised Grok Build's capability to incrementally update experiment notes aligned with optimization goals, noting that the task would be substantial even for human effort. The post highlights

I LOVE the United States. That's it.

Elon Musk posted a brief statement expressing his affection for the United States on X (formerly Twitter). The post consists of a simple declaration of patriotic sentiment without elaboration on speci

i was today years old when i learned that claude code deletes your session traces after a month

model-releasesclem-delangue--x

Claude Code automatically deletes session traces after one month, a feature that was apparently not widely known among users. This retention and deletion policy is part of Claude's data management pra

I would say that it is absurd to say that “AI belongs to the people”, when so many companies have worked so hard to develop it, but it is al…

I would say that it is absurd to say that “AI belongs to the people”, when so many companies have worked so hard to develop it, but it is also absurd that Generative AI has basically been built on the

safetygary-marcus--x

IAF-Net: Illumination-Adaptive Fusion for Low-Light Urban Road Segmentation

arXiv:2605.30939v1 Announce Type: new Abstract: Semantic road segmentation is important for autonomous driving, but existing methods suffer severe performance degradation under low-light conditions. M

agentsarxiv-cs-cv

IAPO: Information-Aware Policy Optimization for Token-Efficient Reasoning

arXiv:2602.19049v2 Announce Type: replace Abstract: Large language models increasingly rely on long chains of thought to improve accuracy, yet such gains come with substantial inference-time costs. We

safetyarxiv-cs-cl

IBM shares jump 9%+ after a six-month old video of Trump praising CEO Arvind Krishna was recirculated on X; IBM had surged ~40% in a little over two weeks (Matthew Griffin/Bloomberg)

Matthew Griffin / Bloomberg: IBM shares jump 9%+ after a six-month old video of Trump praising CEO Arvind Krishna was recirculated on X; IBM had surged ~40% in a little over two weeks — A nearly six-m

industrytechmeme

Identifiable Equivariant Networks are Layerwise Equivariant

model-releasesarxiv-cs-lg

arXiv:2601.21645v2 Announce Type: replace Abstract: We investigate the relation between end-to-end equivariance and layerwise equivariance in deep neural networks. We prove the following: For a networ

Identifying Connectivity Distributions from Neural Dynamics Using Flows

arXiv:2603.26506v2 Announce Type: replace-cross Abstract: Connectivity structure shapes neural computation, but inferring this structure from population recordings is degenerate: multiple connectivity

IDOL: Inverse-Dynamics-Guided Future Prediction for End-to-End Autonomous Driving

arXiv:2605.31476v1 Announce Type: new Abstract: End-to-end autonomous driving has emerged as a compelling paradigm for learning planning directly from sensor observations, while recent world-model-bas

agentsarxiv-cs-ro

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors

arXiv:2605.30462v1 Announce Type: cross Abstract: Can a dataset be recognized from the spurious correlations it induces during training? We argue that datasets leave dataset-specific traces in a model

researcharxiv-cs-ai

If “Insanity is doing the same thing over and over again and expecting different results”, what the heck is Generative AI?

Gary Marcus critiques generative AI by applying the 'insanity' aphorism to highlight repetitive patterns in how these systems operate—suggesting they may be fundamentally limited by repeating the same

safetygary-marcus--x

If LLMs Have Human-Like Attributes, Then So Does Age of Empires II

arXiv:2605.31514v1 Announce Type: cross Abstract: Much research has been carried out on large language models (LLMs) and LLM-powered agentic workflows. However, many works within the field state emerg

agentsarxiv-cs-ai

if you build any agent on activegraph, the trace is automatic and first-class, not bolted on

if you build any agent on activegraph, the trace is automatic and first-class, not bolted on a parallel experiment building a coding agent on top of @activegraphai. you can see everything flattened do

agentsyohei-nakajima--x

ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment

arXiv:2605.30965v1 Announce Type: cross Abstract: Recent advancements in text-guided audio generation have yielded promising results in diverse domains, including sound effects, speech, and music. How

safetyarxiv-cs-ai

ImmigrationQA: A Source-Grounded Dataset and Small-Model Adaptation for U.S. Immigration Law

model-releasesarxiv-cs-ai

arXiv:2605.30589v1 Announce Type: cross Abstract: U.S. immigration law spans thousands of pages of official policy, federal regulations, and procedural guidance that change frequently and carry high s

Immuno-VLM: Immunizing Large Vision-Language Models via Generative Semantic Antibodies for Open-World Trustworthiness

arXiv:2605.30745v1 Announce Type: new Abstract: Large Vision-Language Models have achieved unprecedented success in zero-shot recognition by aligning visual features with broad semantic concepts. Howe

researcharxiv-cs-cv

Import AI 459: AI oversight is difficult; scaling laws for protein folding models; and pricing the extinction risk of AI systems

This newsletter issue discusses three key topics in AI development and safety: the challenges involved in overseeing and controlling advanced AI systems, empirical findings about how protein folding A

safetyimport-ai

Improved Distribution Estimation in ell_infty

arXiv:2605.30509v1 Announce Type: cross Abstract: We present improved bounds for estimating discrete probability distributions under the ell_infty norm. These include minimax bounds in expectation and

researcharxiv-cs-ai

Improved Guarantees for Langevin Monte Carlo with Average Smoothness

arXiv:2605.31413v1 Announce Type: cross Abstract: We establish improved nonasymptotic bounds for Langevin Monte Carlo in the strongly log-concave setting, when the error is measured by the Wasserstein

Improving Relative Representations with Learned Anchors and Whitened Inner Products

arXiv:2605.30596v1 Announce Type: new Abstract: Independently trained neural models typically converge to incompatible latent representations, creating a fundamental barrier to highly modular AI syste

tutorialsarxiv-cs-lg

Improving Selective Classification with Pairwise Queries for Binary Classification

arXiv:2605.30615v1 Announce Type: new Abstract: In selective classification, a model predicts the labels of data samples where it is confident, and abstains from predicting labels for samples on which

Improving Small Language Models for Code Generation with Reinforcement Learning from Verification Feedback

model-releasesarxiv-cs-cl

arXiv:2605.30478v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) trains language models using programmatically checkable signals such as unit-test outcomes, enab

In his final moments, Henry Nowak told police officers nine times “I can’t breathe” and four times that he had been stabbed. In response pol…

In his final moments, Henry Nowak told police officers nine times “I can’t breathe” and four times that he had been stabbed. In response police officer dragged him across the gravel, handcuffed and re

In @latentspacepod podcast, I shared my view on video generation, world models, LLMs, agents, continual learning and where the next frontier…

In @latentspacepod podcast, I shared my view on video generation, world models, LLMs, agents, continual learning and where the next frontier is. 1. Video models get most of their intelligence from lan

agentsswyx--x

In May, we integrated 11 new models spanning image, 3D, audio, video, and multimodal. The highlights: → Krea 2 — style-first image generatio…

In May, we integrated 11 new models spanning image, 3D, audio, video, and multimodal. The highlights: → Krea 2 — style-first image generation, live as a Partner Node on day one. Competes on how the fr

model-releasescomfyui--x

Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data

model-releasesarxiv-cs-ai

arXiv:2605.31324v1 Announce Type: cross Abstract: Estimating the generalization gap and developing optimization methods that improve generalization are crucial for deep learning models, for both theor

Incremental BPE Tokenization

arXiv:2605.30813v1 Announce Type: new Abstract: We propose a novel algorithm for incremental Byte Pair Encoding (BPE) tokenization. The algorithm processes each input byte in worst-case O(log^2 t) tim

researcharxiv-cs-cl

Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation

arXiv:2605.31278v1 Announce Type: new Abstract: Reliable evaluation of agentic systems requires unbiased estimates with valid uncertainty, but standard practice navigates between costly human annotati

agentsarxiv-cs-ai

Inference-Free Multimodal Learned Sparse Retrieval for Production-Scale Visual Document Search

model-releasesarxiv-cs-cv

arXiv:2605.30917v1 Announce Type: cross Abstract: As large-scale visual-document corpora such as arXiv papers and enterprise PDFs continue to grow, visual-document retrieval has gained increasing atte

Inferring Events from Time Series using Language Models

arXiv:2503.14190v3 Announce Type: replace Abstract: A common goal in analyzing time series data is to understand how events cause observed variations. We study whether Large Language Models (LLMs) can

researcharxiv-cs-ai

IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference

arXiv:2511.21513v2 Announce Type: replace Abstract: Deploying Transformer models on edge devices is limited by latency and energy budgets. While INT8 quantization effectively accelerates the primary m

Hardware

Intel: Our upcoming AI chip will be cheaper, run cooler than Nvidia, AMD options

Intel plans to ship its Crescent Island AI GPU in 2026, targeting Nvidia and AMD on cost and power efficiency. The chip uses cheaper LPDDR5X memory and is designed to run in air-cooled server racks ra

hardwarears-technica

Intel touts 130-plus edge design wins for Series 3 and launches OpenVINO Physical AI framework

model-releasessiliconangle

Intel Corp. today announced that more than 130 design engagements for its Series 3 processor family for edge artificial intelligence and edge computing designs and also unveiled a new open-source fram

'Intelegi Romaneste?'' A Recipe for Romanian Vision-Language Models

arXiv:2605.31401v1 Announce Type: new Abstract: Vision-Language Models (VLMs) largely follow the text-only LLM trajectory, excelling on English benchmarks but sharply degrading on low-resource languag

researcharxiv-cs-cl

Internal documents: Chinese company Geedge is working to build AI tools to predict those who could pose a political risk, but US chip controls hampered its work (Julian E. Barnes/New York Times)

Julian E. Barnes / New York Times: Internal documents: Chinese company Geedge is working to build AI tools to predict those who could pose a political risk, but US chip controls hampered its work — Ne

industrytechmeme

Internalizing Temporal Consistency in Video Object-Centric Learning without Explicit Regularization

arXiv:2605.31508v1 Announce Type: new Abstract: Video Object-Centric Learning (OCL) aims to represent objects as extit{slot} vectors and maintain their consistency across frames. Slot-Slot Contrastive

tutorialsarxiv-cs-cv

Interpretability Without Tradeoffs: Disentangling Polysemanticity At Equal Predictive Performance

arXiv:2605.31304v1 Announce Type: cross Abstract: Deep neural networks (DNNs) are widely used, but interpreting what they actually learn remains difficult. A major obstacle is that individual neurons

tutorialsarxiv-cs-cv

Tools

Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains

Mellum2 is a 12-billion parameter Mixture-of-Experts language model developed by JetBrains, designed to efficiently process complex tasks by selectively activating different expert networks. The model

toolshugging-face

👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation. ✅ Multimodal …

👏👏 Introducing Qwen3.7-Plus — a multimodal agent model that unifies vision and language into one versatile agent foundation. ✅ Multimodal interactive hybrid agent: unified GUI & CLI operation across v

model-releasesqwen--x