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tutorialsjeremy-howard--x

Since this is blowing up on hacker news. Boris said that CLI usage is allowed. Thus we added support for it, only to find out that we are still blocked there. It is trival to work around with a few re

Content type

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Research

Singularity Formation: Synergy in Theoretical, Numerical and Machine Learning Approaches

DGX agent

arXiv:2604.16842v1 Announce Type: cross Abstract: This thesis develops numerical and theoretical approaches for understanding and analyzing singularity formation in Partial Differential Equations (PDE

researcharxiv-cs-lg

21 Apr 2026

SinkRouter: Sink-Aware Routing for Efficient Long-Context Decoding in Large Language and Multimodal Models

model-releasesarxiv-cs-lg

arXiv:2604.16883v1 Announce Type: new Abstract: In long-context decoding for LLMs and LMMs, attention becomes increasingly memory-bound because each decoding step must load a large amount of KV-cache

Agents

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

arXiv:2604.04804v2 Announce Type: replace Abstract: Learning from experience is critical for building capable large language model (LLM) agents, yet prevailing self-evolving paradigms remain inefficie

agentsarxiv-cs-cl

Sky2Ground: A Benchmark for Site Modeling under Varying Altitude

model-releasesarxiv-cs-cv

arXiv:2603.13740v3 Announce Type: replace Abstract: We introduce Sky2Ground, a three-view dataset designed for varying altitude camera localization, correspondence learning, and reconstruction. The da

Slides & Infographics in ChatGPT Images 2.0, demonstrated by @yuguang_yang

ChatGPT's updated image generation capabilities (Images 2.0) can now create visual content in presentation formats, including slides and infographics, as demonstrated by user @yuguang_yang. This enhan

model-releasesopenai--x

Hardware

SLO-Guard: Crash-Aware, Budget-Consistent Autotuning for SLO-Constrained LLM Serving

arXiv:2604.17627v1 Announce Type: new Abstract: Serving large language models under latency service-level objectives (SLOs) is a configuration-heavy systems problem with an unusually failure-prone sea

hardwarearxiv-cs-lg

SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms

arXiv:2411.09593v2 Announce Type: replace-cross Abstract: The human brain receives nutrients and oxygen through an intricate network of blood vessels. Pathology affecting small vessels, at the mesosco

SmoGVLM: A Small, Graph-enhanced Vision-Language Model

arXiv:2604.16517v1 Announce Type: cross Abstract: Large vision-language models (VLMs) achieve strong performance on multimodal tasks but often suffer from hallucination and poor grounding in knowledge

Agents

Snowflake targets ‘agentic enterprise’ with unified control plane for AI and data

Snowflake Inc. is expanding its push into enterprise artificial intelligence with a set of updates to its Snowflake Intelligence and Cortex Code offerings, positioning its platform as a centralized co

agentssiliconangle

Agents

so far about 70% speed type, 22% prefer to be precise, and 8% use voice

This post presents survey or observational data about user preferences for AI interaction modes, showing that approximately 70% of users prioritize speed, 22% prefer accuracy over speed, and 8% use vo

agentsyohei-nakajima--x

So the EU wants to ban teens from social media — except for LGBTQ+ content? What a nuanced way to “protect children” online.

So the EU wants to ban teens from social media — except for LGBTQ+ content? What a nuanced way to “protect children” online. 🚨 BREAKING: Hungary violated EU law when it banned children from accessing

industryelon-musk--x

Sobolev Gradient Ascent for Optimal Transport: Barycenter Optimization and Convergence Analysis

arXiv:2505.13660v2 Announce Type: replace-cross Abstract: This paper introduces a new constraint-free concave dual formulation for the Wasserstein barycenter. Tailoring the vanilla dual gradient ascen

researcharxiv-cs-lg

Soft Label Pruning and Quantization for Large-Scale Dataset Distillation

arXiv:2604.18135v1 Announce Type: new Abstract: Large-scale dataset distillation requires storing auxiliary soft labels that can be 30-40x larger on ImageNet-1K and 200x larger on ImageNet-21K than th

safetyarxiv-cs-cv

Sonata: A Hybrid World Model for Inertial Kinematics under Clinical Data Scarcity

model-releasesarxiv-cs-lg

arXiv:2604.18058v1 Announce Type: new Abstract: We introduce Sonata, a compact latent world model for six-axis trunk IMU representation learning under clinical data scarcity. Clinical cohorts typicall

Source: a handful of unauthorized users in a private Discord channel have been accessing Anthropic's Mythos model since the day the company announced it (Rachel Metz/Bloomberg)

Rachel Metz / Bloomberg: Source: a handful of unauthorized users in a private Discord channel have been accessing Anthropic's Mythos model since the day the company announced it — A small group of una

Source-Free Domain Adaptation with Vision-Language Prior

arXiv:2604.17748v1 Announce Type: new Abstract: Source-Free Domain Adaptation (SFDA) seeks to adapt a source model, which is pre-trained on a supervised source domain, for a target domain, with only a

safetyarxiv-cs-cv

Sources: CISA doesn't have access to Mythos Preview, even as some other government agencies use it; Anthropic says it briefed CISA before Mythos' unveiling (Sam Sabin/Axios)

Sam Sabin / Axios: Sources: CISA doesn't have access to Mythos Preview, even as some other government agencies use it; Anthropic says it briefed CISA before Mythos' unveiling — The Cybersecurity and I

Sources: Kalshi plans to offer crypto trading in the US, offering perpetual futures, putting it in competition with exchanges like Coinbase (Yueqi Yang/The Information)

Yueqi Yang / The Information: Sources: Kalshi plans to offer crypto trading in the US, offering perpetual futures, putting it in competition with exchanges like Coinbase — Prediction market Kalshi pla

Applications

SpaceDex: Generalizable Dexterous Grasping in Tiered Workspaces

arXiv:2604.17888v1 Announce Type: new Abstract: Generalizable grasping with high-degree-of-freedom (DoF) dexterous hands remains challenging in tiered workspaces, where occlusion, narrow clearances, a

applicationsarxiv-cs-ro

SpaceX cuts a deal to maybe buy Cursor for $60 billion

With an IPO looming for Elon Musk's SpaceX / xAI / X combo platter of companies, SpaceX has announced an odd arrangement to either acquire the automated programming platform Cursor for 60 billion or p

industrythe-verge-ai

SpaceX says it's working with Cursor to build 'the world's most useful models' and it has the right to acquire Cursor for 60B or pay 10B for the partnership (New York Times)

New York Times: SpaceX says it's working with Cursor to build “the world's most useful models” and it has the right to acquire Cursor for 60B or pay 10B for the partnership — The potential acquisition

Hardware

SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’…

SpaceXAI and @cursor_ai are now working closely together to create the world’s best coding and knowledge work AI. The combination of Cursor’s leading product and distribution to expert software engine

hardwareelon-musk--x

SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification

arXiv:2406.06543v2 Announce Type: replace-cross Abstract: Deep learning has driven significant technological advancements, but its high energy consumption limits its use on battery-operated edge devic

researcharxiv-cs-lg

(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models

arXiv:2604.16429v1 Announce Type: cross Abstract: We introduce Mosaic, a probabilistic weather forecasting model that addresses two principal sources of spectral degradation in ML-based weather predic

safetyarxiv-cs-cv

Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models

arXiv:2506.18141v3 Announce Type: replace Abstract: We identify semantically coherent, context-consistent network components in large language models (LLMs) using coactivation of sparse autoencoder (S

Applications

SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction

arXiv:2604.17350v1 Announce Type: cross Abstract: Time series forecasting is traditionally dominated by sequence-based architectures such as recurrent neural networks and attention mechanisms, which p

applicationsarxiv-cs-lg

Local Ai

Spatial-Regularization-Aware Dual-Branch Collaborative Inference for Training-Free OVSS in Remote Sensing Imagery

arXiv:2601.21159v2 Announce Type: replace Abstract: High-resolution remote sensing images contain densely distributed objects with pronounced scale variations and complex boundaries, which impose high

local-aiarxiv-cs-cv

SpatialImaginer: Towards Adaptive Visual Imagination for Spatial Reasoning

arXiv:2604.17385v1 Announce Type: new Abstract: Spatial intelligence, which refers to the ability to reason about geometric and physical structure from visual observations, remains a core challenge fo

Local Ai

SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning

arXiv:2603.27437v2 Announce Type: replace Abstract: Large vision-language models (VLMs) still struggle with reliable 3D spatial reasoning, a core capability for embodied and physical AI systems. This

local-aiarxiv-cs-cv

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models

model-releasesarxiv-cs-cv

arXiv:2604.17873v1 Announce Type: new Abstract: Video Large Language Models (Vid-LLMs) have demonstrated remarkable performance in video understanding tasks, yet their robustness under conversational

SpeakerSleuth: Can Large Audio-Language Models Judge Speaker Consistency across Multi-turn Dialogues?

arXiv:2601.04029v2 Announce Type: replace Abstract: Large Audio-Language Models (LALMs) as judges have emerged as a prominent approach for evaluating speech generation quality, yet their ability to as

Spec-o3: A Tool-Augmented Vision-Language Agent for Rare Celestial Object Candidate Vetting via Automated Spectral Inspection

arXiv:2601.06498v2 Announce Type: replace Abstract: Due to the limited generalization and interpretability of deep learning classifiers, The final vetting of rare celestial object candidates still rel

Spectral bandits for smooth graph functions

arXiv:2604.18420v1 Announce Type: cross Abstract: Smooth functions on graphs have wide applications in manifold and semi-supervised learning. In this paper, we study a bandit problem where the payoffs

safetyarxiv-cs-lg

Spectral Forensics of Diffusion Attention Graphs for Copy-Move Forgery Detection

arXiv:2604.17287v1 Announce Type: new Abstract: Copy-move forgery, where a region within an image is duplicated to hide or fabricate content, remains a persistent threat to visual media integrity. We

Speculative Decoding for Autoregressive Video Generation

arXiv:2604.17397v1 Announce Type: new Abstract: Autoregressive video diffusion is emerging as a promising paradigm for streaming video synthesis, with step distillation serving as the primary means of

Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding

arXiv:2509.24328v2 Announce Type: replace Abstract: LLMs have low GPU efficiency and high latency due to autoregressive decoding. Speculative decoding (SD) mitigates this using a small draft model to

safetyarxiv-cs-cl

SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation

arXiv:2601.04638v2 Announce Type: replace Abstract: Medical consultations are intrinsically speech-centric. However, most prior works focus on long-text-based interactions, which are cumbersome and pa

SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks

arXiv:2604.17771v1 Announce Type: new Abstract: Large language models (LLMs) have achieved strong performance on natural language to SQL (NL2SQL) benchmarks, yet their reported accuracy may be inflate

SpidR-Adapt: A Universal Speech Representation Model for Few-Shot Adaptation

arXiv:2512.21204v2 Announce Type: replace Abstract: Human infants, with only a few hundred hours of speech exposure, acquire basic units of new languages, highlighting a striking efficiency gap compar

Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization

model-releasesarxiv-cs-cv

arXiv:2604.18284v1 Announce Type: new Abstract: Pre-trained vision models have found widespread application across diverse domains. Prompt tuning-based methods have emerged as a parameter-efficient pa

SpiralFormer: Looped Transformers Can Learn Hierarchical Dependencies via Multi-Resolution Recursion

model-releasesarxiv-cs-lg

arXiv:2602.11698v2 Announce Type: replace Abstract: Recursive (looped) Transformers decouple computational depth from parameter depth by repeatedly applying shared layers, providing an explicit archit

SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving

arXiv:2511.08983v2 Announce Type: replace Abstract: Recent advances in large reasoning models have been driven by reinforcement learning and test-time scaling, accompanied by growing interest in laten

safetyarxiv-cs-cl

Splatography: Sparse multi-view dynamic Gaussian Splatting for filmmaking challenges

arXiv:2511.05152v2 Announce Type: replace Abstract: Deformable Gaussian Splatting (GS) accomplishes photorealistic dynamic 3-D reconstruction from dense multi-view video (MVV) by learning to deform a

SPLC funded a large number of false flag “right wing” organizations and events. Total scam.

SPLC funded a large number of false flag “right wing” organizations and events. Total scam. 🚨BREAKING: DOJ charges the Southern Poverty Law Center (SPLC) with wire fraud, false statements, and conspir

industryelon-musk--x

SPOT: Single-Shot Positioning via Trainable Near-Field Rainbow Beamforming

arXiv:2511.11391v3 Announce Type: replace Abstract: Phase-time arrays, which integrate phase shifters (PSs) and true-time delays (TTDs), have emerged as a cost-effective architecture for generating fr

researcharxiv-cs-lg

Spotlights and Blindspots: Evaluation Machine-Generated Text Detection

arXiv:2604.16607v1 Announce Type: new Abstract: With the rise of generative language models, machine-generated text detection has become a critical challenge. A wide variety of models is available, bu

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

arXiv:2604.16995v1 Announce Type: new Abstract: Reinforcement learning (RL) has emerged as a promising paradigm for training reasoning-oriented models by leveraging rule-based reward signals. However,

safetyarxiv-cs-cl