All entries

Sleep-stage efficient classification using a lightweight self-supervised model

arXiv:2605.26295v1 Announce Type: new Abstract: Accurate classification of sleep stages is crucial for diagnosing sleep disorders and automating this process can significantly enhance clinical assessm

Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation

DGX agent

arXiv:2605.26428v1 Announce Type: new Abstract: Generating high-quality, pedagogically useful questions from lecture slide decks is difficult because important instructional content is distributed acr

researcharxiv-cs-cl

27 May 2026

Small Object Detection in Industrial Recycling: A New Dataset and YOLO Performance Evaluation

arXiv:2605.26884v1 Announce Type: new Abstract: In this paper, we address the problem of detecting small, dense, and overlapping objects, a major challenge in computer vision. Our focus is on reviewin

Snowflake reports Q1 revenue up 33% YoY to 1.39B, vs. 1.32B est., and commits to spending $6B on AWS over five years; SNOW jumps 35%+ after hours (CNBC)

CNBC: Snowflake reports Q1 revenue up 33% YoY to 1.39B, vs. 1.32B est., and commits to spending 6B on AWS over five years; SNOW jumps 35%+ after hours — Amazon said Wednesday that its cloud division h

Snowflake’s stock surges after-hours on solid earnings beat and multibillion-dollar AWS cloud deal

Snowflake Inc.’s shares jumped in late trading today after it announced a $6 billion spending commitment on Amazon Web Services Inc.’s cloud infrastructure, including a deal to use the company’s custo

industrysiliconangle

SoftCap: Soft-Budget Control for Diffusion Transformer Acceleration

arXiv:2605.27075v1 Announce Type: new Abstract: Diffusion Transformers (DiTs) achieve strong visual quality, but their iterative denoising process requires many costly Transformer evaluations. Trainin

SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

model-releasesarxiv-cs-cl

arXiv:2603.28730v2 Announce Type: replace-cross Abstract: Vision-language models (VLMs) have shown impressive capabilities across diverse tasks, motivating efforts to leverage these models to supervis

some data i shared yesterday on anthropic revenue possibly slowing down aren’t as a compelling as i thought; i have deleted my posts and awa…

some data i shared yesterday on anthropic revenue possibly slowing down aren’t as a compelling as i thought; i have deleted my posts and await better data before drawing conclusions. h/t @GergelyOrosz

safetygary-marcus--x

Someone just asked me “What I don’t get is why you see it as some kind of failure that AI labs are now using harnesses and neurosymbolic too…

model-releasesgary-marcus--x

Someone just asked me “What I don’t get is why you see it as some kind of failure that AI labs are now using harnesses and neurosymbolic tools…?” I don’t! As I argued in my newsletter on Claude Code (

SONAR-LLM: Autoregressive Transformer that Thinks in Sentence Embeddings and Speaks in Tokens

model-releasesarxiv-cs-cl

arXiv:2508.05305v2 Announce Type: replace Abstract: The recently proposed Large Concept Model (LCM) generates text by predicting a sequence of sentence-level embeddings and training with either mean-s

Applications

Source: at a town hall, TSMC CEO C.C. Wei told staff they will see a 30%+ bump in their profit-sharing payouts in 2026 on average, after some staff had concerns (Bloomberg)

Bloomberg: Source: at a town hall, TSMC CEO C.C. Wei told staff they will see a 30%+ bump in their profit-sharing payouts in 2026 on average, after some staff had concerns — Taiwan Semiconductor Manuf

applicationstechmeme

Local Ai

Source-Free Domain Adaptation for Geospatial Point Cloud Semantic Segmentation

arXiv:2601.08375v2 Announce Type: replace Abstract: Semantic segmentation of 3D geospatial point clouds is fundamental to remote sensing applications, yet domain shifts caused by regional and acquisit

local-aiarxiv-cs-cv

Sources: ByteDance is discussing capex of up to 70B in 2026 as it builds out data centers and AI infrastructure, underwriting it with its 50B profit from 2025 (Bloomberg)

Bloomberg: Sources: ByteDance is discussing capex of up to 70B in 2026 as it builds out data centers and AI infrastructure, underwriting it with its 50B profit from 2025 — ByteDance Ltd., the develope

Sources: EU leaders are divided on curbing Big Tech as they weigh cloud tender rules and giving EU companies preferential access to mobile satellite spectrum (Foo Yun Chee/Reuters)

Foo Yun Chee / Reuters: Sources: EU leaders are divided on curbing Big Tech as they weigh cloud tender rules and giving EU companies preferential access to mobile satellite spectrum — European leaders

Sources: Germany and Spain are leading opposition to EU plans to ban Chinese suppliers like Huawei from telecom networks as part of new cybersecurity rules (Bloomberg)

Bloomberg: Sources: Germany and Spain are leading opposition to EU plans to ban Chinese suppliers like Huawei from telecom networks as part of new cybersecurity rules — Germany and Spain are leading o

Sources: software-specialist PE firm Hg agrees to acquire Rightsline, whose software helps Disney, the BBC, WBD, and others manage IP licensing, for $500M (Financial Times)

Financial Times: Sources: software-specialist PE firm Hg agrees to acquire Rightsline, whose software helps Disney, the BBC, WBD, and others manage IP licensing, for 500M — Acquisition of rights and r

Hardware

Sources: Taiwan suspects three people smuggled at least one Nvidia chip shipment to China after first exporting them to Japan; Taiwan detained them last week (Bloomberg)

Bloomberg: Sources: Taiwan suspects three people smuggled at least one Nvidia chip shipment to China after first exporting them to Japan; Taiwan detained them last week — Taiwan prosecutors suspect th

hardwaretechmeme

Sources: Uber has increased its stake in Delivery Hero to ~37% by acquiring Aspex Management's 14.6% share at a €12B valuation, after a takeover offer last week (Financial Times)

Financial Times: Sources: Uber has increased its stake in Delivery Hero to ~37% by acquiring Aspex Management's 14.6% share at a €12B valuation, after a takeover offer last week — Share purchase from

SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

arXiv:2510.09606v2 Announce Type: replace Abstract: With the current surge in spatial reasoning explorations, researchers have made significant progress in understanding indoor scenes, but still strug

Sparse-LiDAR Prompting of Monocular Geometry Foundations: An Empirical Study Toward Long-Range Driving Depth

arXiv:2605.26456v1 Announce Type: new Abstract: Sparse-LiDAR-prompted depth foundation models (PromptDA, Prior Depth Anything, DMD3C) have shown strong results on indoor scenes or within KITTI's stand

SpatialBench: Is Your Spatial Foundation Model an All-Round Player?

arXiv:2605.27367v1 Announce Type: new Abstract: While spatial foundation models have demonstrated impressive performance on standard datasets, a critical question remains: are they truly all-round pla

SPEAR: Code-Augmented Agentic Prompt Optimization

arXiv:2605.26275v1 Announce Type: new Abstract: Automatic prompt engineering (APE) rewrites prompts to improve downstream task performance, but existing APE loops treat the optimizer itself as a fixed

agentsarxiv-cs-cl

Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs

arXiv:2506.08543v3 Announce Type: replace Abstract: High-level representations have become a central focus in enhancing AI transparency and control, shifting attention from individual neurons or circu

safetyarxiv-cs-cv

Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training

arXiv:2605.26606v1 Announce Type: cross Abstract: Reinforcement learning (RL) is the dominant paradigm for post-training large language models. However, in the online, on-policy setting, rollout gener

safetyarxiv-cs-ai

SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings

arXiv:2605.26900v1 Announce Type: new Abstract: A fundamental open question in self-supervised learning (SSL) is the explicit characterization of the optimal geometry of the learned representations. R

researcharxiv-cs-lg

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures

arXiv:2605.27027v1 Announce Type: new Abstract: The scaling of quantum processors is currently limited by technical challenges such as decoherence and cross-talk. As the number of qubits grows, interf

safetyarxiv-cs-lg

sqlite AGENTS.md

sqlite AGENTS.md SQLite gained an AGENTS.md file five days ago - but it's not intended for their own development, it's presumably aimed at people who are pointing agents at the SQLite codebase. It inc

agentssimon-willison

Stability Implies Redundancy: Delta Attention Selective Halting for Efficient Long-Context Prefilling

model-releasesarxiv-cs-ai

arXiv:2604.18103v2 Announce Type: replace Abstract: Prefilling computational costs pose a significant bottleneck for Large Language Models (LLMs) and Large Multimodal Models (LMMs) in long-context set

Stabilizing Recurrent Dynamics for Test-Time Scalable Latent Reasoning in Looped Language Models

arXiv:2605.26733v1 Announce Type: cross Abstract: Looped Language Models (LoopLMs) enable efficient latent reasoning through depth recurrence, yet exhibit unreliable test-time scaling behavior: perfor

researcharxiv-cs-ai

Starbucks learned the hard way: you literally can’t even trust (current) AI to count.

Starbucks learned the hard way: you literally can’t even trust (current) AI to count. For some reason OpenAI doesn’t seem to be talking about how Starbucks spent years creating and testing an AI inven

safetygary-marcus--x

Starlette, an open-source Python framework underpinning FastAPI, has a vulnerability called BadHost that can allow hackers to bypass authorization (Dan Goodin/Ars Technica)

Dan Goodin / Ars Technica: Starlette, an open-source Python framework underpinning FastAPI, has a vulnerability called BadHost that can allow hackers to bypass authorization — Millions of AI agents an

Stateful Inference for Low-Latency Multi-Agent Tool Calling

arXiv:2605.26289v1 Announce Type: new Abstract: Multi-agent tool calling is becoming the dominant interaction pattern for LLM-based systems, yet existing inference frameworks treat each tool call as a

agentsarxiv-cs-lg

SteelDS: A High-Resolution Video Dataset of E40 Steel Scrap for Object Detection and Instance Segmentation

arXiv:2605.26682v1 Announce Type: cross Abstract: This dataset provides high-resolution, annotated video sequences of shredded E40-grade steel and copper scrap on a conveyor belt. Captured in a contro

Step-Size Stability in Stochastic Optimization: A Theoretical Perspective

arXiv:2602.09842v2 Announce Type: replace-cross Abstract: We present a theoretical analysis of stochastic optimization methods in terms of their sensitivity with respect to the step size. We identify

researcharxiv-cs-lg

StepOPSD: Step-Aware Online Preference Distillation for Agent Reinforcement Learning

arXiv:2605.27140v1 Announce Type: new Abstract: Reinforcement learning for multi-turn agents suffers from a credit-assignment mismatch: rewards are sparse and trajectory-level, while success often hin

safetyarxiv-cs-ai

Stochastic Decision Horizons for Constrained Reinforcement Learning

arXiv:2602.04599v2 Announce Type: replace Abstract: We propose stochastic decision horizons (SDH), a theoretically grounded framework for solving constrained RL problems with every-step constraint sat

safetyarxiv-cs-lg

Stochastic global optimization of continuous functions via random walks on Grassmannians

model-releasesarxiv-cs-lg

arXiv:2605.14151v1 Announce Type: cross Abstract: We introduce a stochastic global optimization method based on random walks on Grassmannian manifolds. To minimize a continuous objective ell:R^drighta

Strategies for Guiding LLMs to Use Software Design Patterns: A Case of Singleton

model-releasesarxiv-cs-ai

arXiv:2605.26898v1 Announce Type: cross Abstract: Large Language Models (LLMs) can generate functional source code from natural-language prompts, but often fail to consistently follow higher-level arc

Local Ai

StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting

arXiv:2605.26523v1 Announce Type: cross Abstract: Large-batch Contrastive Learning (CL), the foundation of modern representation learning, is fundamentally incompatible with the volatile resource cons

local-aiarxiv-cs-ai

Stronger models do not always need lighter harnesses. Everyone believes more structured harnesses universally improve reliability, and that …

Stronger models do not always need lighter harnesses. Everyone believes more structured harnesses universally improve reliability, and that higher-capability models need proportionally less structural

model-releasesdair-ai--x

Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing

arXiv:2605.26429v1 Announce Type: cross Abstract: This paper addresses structured out-of-distribution (OOD) testing in high-stakes machine learning applications. Traditional conformal methods rely on

researcharxiv-cs-ai

Structured Relational Reasoning for Group Activity Assessment

arXiv:2508.07996v2 Announce Type: replace Abstract: Group Activity Detection (GAD) involves recognizing social groups and their collective behaviors in videos. Vision Foundation Models (VFMs), like DI

Stylistic Evolution and LLM Neutrality in Singlish Language

arXiv:2601.06580v2 Announce Type: replace Abstract: Singlish is a creole rooted in Singapore's multilingual environment that continues to evolve alongside social and technological change. We examine d

researcharxiv-cs-cl

Super happy that a bunch of people are finding marlin useful. Thank you for the inference support @ZeroGPU_AI @huggingface 🥰🤝 We’ve got ha…

Super happy that a bunch of people are finding marlin useful. Thank you for the inference support @ZeroGPU_AI @huggingface 🥰🤝 We’ve got hands on more compute now so we’ll also release a series of blog

industryclem-delangue--x

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking

arXiv:2511.04711v2 Announce Type: replace-cross Abstract: Large-scale vision-language models, especially CLIP, have demonstrated remarkable performance across diverse downstream tasks. Soft prompts, a

researcharxiv-cs-ai

SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution

model-releasesarxiv-cs-cl

arXiv:2603.01327v2 Announce Type: replace-cross Abstract: Large language models (LLMs) exhibit strong performance on self-contained programming tasks. However, they still struggle with repository-leve

Symbolic Regression via Latent Iterative Refinement

arXiv:2605.27245v1 Announce Type: new Abstract: Symbolic regression (SR) seeks closed-form mathematical expressions that fit observed data. Neural SR methods amortize the search by training an encoder

researcharxiv-cs-lg

Synergetic Empowerment: Wireless Communications Meets Embodied Intelligence

arXiv:2509.10481v2 Announce Type: replace-cross Abstract: Wireless communication is evolving into an agent era, where large-scale agents with inherent embodied intelligence are not just users but acti

agentsarxiv-cs-ro