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Work faster with Codex. https://chatgpt.com/codex/for-work/

Codex is OpenAI's AI tool designed to accelerate work productivity by generating and understanding code, enabling developers to write, debug, and complete programming tasks more efficiently. The resou

model-releasesopenai--x

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World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning

DGX agent

arXiv:2604.26934v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that

researcharxiv-cs-cv

30 Apr 2026

Would you play a Chrono Trigger remake/remaster like this? 🤔

Emad Mostaque posed a hypothetical question to his X audience about whether they would be interested in a Chrono Trigger remake or remaster, likely soliciting community feedback on preferences for how

industryemad-mostaque--x

wow. incredible.

wow. incredible. A Chinese court has ruled it illegal to replace human workers with AI purely for the sake of cost-cutting. The court decided that companies hold a social responsibility to treat worke

safetygary-marcus--x

Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis

arXiv:2604.26619v1 Announce Type: new Abstract: Aspect-based Sentiment Analysis (ABSA) extracts fine-grained opinions toward specific aspects within text but remains largely English-focused despite ma

researcharxiv-cs-cl

Zuck is zucking up Meta

Zuck is zucking up Meta Mark Zuckerberg lacks the cloud-computing business to truly justify Meta's AI spending, @DaveLeeBBG says (via @opinion) https://www.bloomberg.com/opinion/articles/2026-04-30/me

safetygary-marcus--x

$3/million output tokens. Qwen 3.5 Plus is basically a frontier model. Let that sink in.

model-releasestogether-ai--x

$3/million output tokens. Qwen 3.5 Plus is basically a frontier model. Let that sink in. Introducing Qwen3.6-Plus from @Alibaba_Qwen, a 1M-context model built for real-world agents, agentic coding, an

8DNA: 8D Neural Asset Light Transport by Distribution Learning

arXiv:2604.25129v1 Announce Type: cross Abstract: High-fidelity 3D assets exhibit intriguing global illumination effects like subsurface scattering, glossy interreflections, and fine-scale fiber scatt

researcharxiv-cs-cv

A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards

arXiv:2505.13766v5 Announce Type: replace-cross Abstract: Software Quality Assurance (SQA) is critical for delivering reliable, secure, and efficient software products. The Software Quality Assurance

safetyarxiv-cs-cl

A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks

model-releasesarxiv-cs-lg

arXiv:2604.24810v1 Announce Type: new Abstract: Edge computing environments impose strict constraints on energy consumption and latency, making the deployment of deep neural networks a significant cha

A Comparative Study in Surgical AI: Datasets, Foundation Models, and Barriers to Med-AGI

model-releasesarxiv-cs-cv

arXiv:2603.27341v2 Announce Type: replace-cross Abstract: Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but su

'A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues…

'A decade ago, AI was supposed to replace radiologists. Today, radiologists make more than $500,000 per year, and their employment continues to grow, see chart below. Reading scans is a task, not a jo

researchyann-lecun--x

A Deep Reinforcement Learning Approach to Automated Stock Trading, using xLSTM Networks

arXiv:2503.09655v2 Announce Type: replace-cross Abstract: Traditional Long Short-Term Memory (LSTM) networks are effective for handling sequential data but have limitations such as gradient vanishing

safetyarxiv-cs-lg

A Falcon 9 rocket will hit the Moon this summer at seven times the speed of sound

A spent Falcon 9 upper stage from a lunar lander mission launched in January 2025 is projected to impact the Moon on August 5, 2026 . The roughly 4,000-kilogram upper stage is projected to impact at a

industryars-technica

Applications

A Finite Time Analysis of Thompson Sampling for Bayesian Optimization with Preferential Feedback

arXiv:2604.25025v1 Announce Type: cross Abstract: Preference feedback, in the form of pairwise comparisons rather than scalar scores, has seen increasing use in applications such as human-, laboratory

applicationsarxiv-cs-lg

A graph generation pipeline for critical infrastructures based on heuristics, images and depth data

arXiv:2512.07269v2 Announce Type: replace Abstract: Virtual representations of physical critical infrastructures, such as water or energy plants, are used for simulations and digital twins to ensure r

researcharxiv-cs-cv

A Japanese developer built a Chrome extension called Cat Gatekeeper that sends a giant orange cat onto your screen when you have been scrolling social media for too long

Cat Gatekeeper is a Chrome extension created by a Japanese developer that displays a giant orange cat on screen to interrupt users who have been scrolling social media excessively. The extension serve

industryr-chatgpt

A million-token context window is not a strategy. 🛑 Our Head of DevRel, @RoieSchwabco , explains why dumping data is killing your RAG perfo…

model-releasespinecone--x

A million-token context window is not a strategy. 🛑 Our Head of DevRel, @RoieSchwabco , explains why dumping data is killing your RAG performance: 📍 One needle in a haystack? Easy. 📍 Multiple needles?

Applications

A multi-stage soft computing framework for complex disease modelling and decision support: A liver cirrhosis case study

arXiv:2604.24796v1 Announce Type: cross Abstract: Liver cirrhosis is a major global health problem causing millions of deaths annually, and timely detection with aggressive treatment can significantly

applicationsarxiv-cs-lg

Tutorials

A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata

arXiv:2604.24990v1 Announce Type: new Abstract: Stephen Wolfram proclaimed in his 2003 seminal work 'A New Kind Of Science' that simple recursive programs in the form of Cellular Automata (CA) are a p

tutorialsarxiv-cs-cv

A paradox of AI fluency

arXiv:2604.25905v1 Announce Type: new Abstract: How much does a user's skill with AI shape what AI actually delivers for them? This question is critical for users, AI product builders, and society at

researcharxiv-cs-cl

A public talk by the goat @demishassabis ... rarest pokemon sighting of all! Enjoy :)

A public talk by the goat @demishassabis ... rarest pokemon sighting of all! Enjoy :) Sir @demishassabis has a mind for synthesis. His favorite book is about a grand theory of everything. His preferre

industrysonya-huang--x

A Survey on LLM-based Conversational User Simulation

arXiv:2604.24977v1 Announce Type: new Abstract: User simulation has long played a vital role in computer science due to its potential to support a wide range of applications. Language, as the primary

researcharxiv-cs-cl

Applications

A systematic literature Review for Transformer-based Software Vulnerability detection

arXiv:2604.24822v1 Announce Type: cross Abstract: Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas

applicationsarxiv-cs-lg

A Systematic Post-Train Framework for Video Generation

arXiv:2604.25427v1 Announce Type: new Abstract: While large-scale video diffusion models have demonstrated impressive capabilities in generating high-resolution and semantically rich content, a signif

safetyarxiv-cs-cv

A thousand little conveniences add up to a seamless experience

This statement reflects Tesla's design philosophy emphasizing that numerous small user experience improvements collectively create an intuitive and frictionless product experience. The quote, attribut

industryelon-musk--x

A Unifying Framework for Unsupervised Concept Extraction

arXiv:2604.24936v1 Announce Type: new Abstract: Techniques for concept extraction, such as sparse autoencoders and transcoders, aim to extract high-level symbolic concepts from low-level nonsymbolic r

researcharxiv-cs-lg

A working paper uses an LLM to analyze political discourse on X, finding that anger is the dominant emotion expressed by US users, especially those over 65 (Tim Harford/Financial Times)

Tim Harford / Financial Times: A working paper uses an LLM to analyze political discourse on X, finding that anger is the dominant emotion expressed by US users, especially those over 65 — There is a

industrytechmeme

ABC can beat Trump FCC's license threat if owner Disney is willing to fight

The FCC ordered Disney's ABC to file license renewals for all eight of its owned television stations by May 28, 2026 , years ahead of their original schedule . The FCC cited Disney's diversity, equity

industryars-technica

Tutorials

Accelerating Regularized Attention Kernel Regression for Spectrum Cartography

arXiv:2604.25138v1 Announce Type: cross Abstract: Spectrum cartography reconstructs spatial radio fields from sparse and heterogeneous wireless measurements, underpinning many sensing and optimization

tutorialsarxiv-cs-lg

Accuracy Improvement of Cell Image Segmentation Using Feedback Former

arXiv:2408.12974v4 Announce Type: replace Abstract: Semantic segmentation of microscopy cell images by deep learning is a significant technique. We considered that the Transformers, which have recentl

researcharxiv-cs-cv

Tutorials

Accurate and Robust Generative Approach for Overcoming Data Sparsity and Imbalance in Landslide Modeling with A Tabular Foundation Model

arXiv:2604.25159v1 Announce Type: new Abstract: Landslide investigation relies on sufficient and well-balanced observational data influenced by geological, hydrological, and anthropogenic factors. Ava

tutorialsarxiv-cs-lg

Adaptable phase retrieval for coherent transition radiation spectroscopy based on differentiable physics information

model-releasesarxiv-cs-lg

arXiv:2604.25489v1 Announce Type: cross Abstract: Coherent transition radiation (CTR) spectroscopy is a critical diagnostic for characterizing the longitudinal structure of relativistic electron bunch

Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models

arXiv:2604.25710v1 Announce Type: cross Abstract: In the last few decades, Markov chain Monte Carlo (MCMC) methods have been widely applied to Bayesian updating of structural dynamic models in the fie

researcharxiv-cs-lg

Adaptive Thinking: Large Language Models Know When to Think in Latent Space

researchapple-ml-research

Recent advances in large language models (LLMs) test-time computing have introduced the capability to perform intermediate chain-of-thought (CoT) reasoning (thinking) before generating answers. While

AdaTooler-V: Adaptive Tool-Use for Images and Videos

model-releasesarxiv-cs-cv

arXiv:2512.16918v3 Announce Type: replace Abstract: Recent advances have shown that multimodal large language models (MLLMs) benefit from multimodal interleaved chain-of-thought (CoT) with vision tool

ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models

model-releasesarxiv-cs-cl

arXiv:2604.24940v1 Announce Type: new Abstract: Word embeddings are fundamental to natural language processing, yet traditional approaches represent each word with a single vector, creating representa

After deployment finishes, you should be able to see it in the LangSmith UI You get a nice dashboard of the deployment where you can see tra…

This post discusses the LangSmith UI dashboard that becomes available after deploying a project, which provides visualization and tracking capabilities for monitoring deployments. The dashboard allows

agentsharrison-chase--x

Hardware

After fixing correctness issues, we turned to the next bottleneck: Prefill throughput and GPU memory pressure in long-context Coding Agent s…

After fixing correctness issues, we turned to the next bottleneck: Prefill throughput and GPU memory pressure in long-context Coding Agent serving. To address this, we introduced LayerSplit, a layer-w

hardwarezhipu-ai--x

After switching into the new directory (`cd lc-docs`) I'm going to set the name of my agent, and the model to use This is done in deepagents…

After switching into the new directory (`cd lc-docs`) I'm going to set the name of my agent, and the model to use This is done in deepagents.toml I'm going to use @Zai_org GLM5 model, served via @base

agentsharrison-chase--x

After that, it's go time! `deepagents deploy` This will use Docker under the hood, so make sure you have that installed It will build an age…

The `deepagents deploy` command is used to deploy applications, leveraging Docker as its underlying technology, requiring Docker to be pre-installed on the system. This appears to be part of DeepAgent

agentsharrison-chase--x

Agent-Diff: Benchmarking LLM Agents on Enterprise API Tasks via Code Execution with State-Diff-Based Evaluation

model-releasesarxiv-cs-cl

arXiv:2602.11224v3 Announce Type: replace-cross Abstract: We present Agent-Diff, a novel benchmarking framework for evaluating agentic Large Language Models (LLMs) on real-world productivity software

'Agent optimization should be automatic, efficient, observable and future-proof' (Or Dagan, 2 minutes ago)

Agent optimization requires four key characteristics: automation to reduce manual intervention, efficiency to maximize performance with minimal resource waste, observability to enable monitoring and d

agentsai21-labs--x

Agentic AI for Remote Sensing: Technical Challenges and Research Directions

arXiv:2604.24919v1 Announce Type: new Abstract: Earth Observation (EO) is moving beyond static prediction toward multi-step analytical workflows that require coordinated reasoning over data, tools, an

agentsarxiv-cs-cv

Agentic Harness Engineering: Observability-Driven Automatic Evolution of Coding-Agent Harnesses

model-releasesarxiv-cs-cl

arXiv:2604.25850v1 Announce Type: new Abstract: Harnesses have become a central determinant of coding-agent performance, shaping how models interact with repositories, tools, and execution environment

// Agentic Harness Engineering // Pay attention to this one, AI devs. (bookmark it) Most coding-agent harnesses are still tuned by hand or b…

// Agentic Harness Engineering // Pay attention to this one, AI devs. (bookmark it) Most coding-agent harnesses are still tuned by hand or brittle trial-and-error self-evolution. This new work introdu

agentsdair-ai--x

agents are going and are already changing every industry & vertical, awesome blog from the @MadrigalPharma team on using Deep Agents, Skills…

agents are going and are already changing every industry & vertical, awesome blog from the @MadrigalPharma team on using Deep Agents, Skills, & LangSmith at the frontier of biopharma it’s an awesome t

safetyharrison-chase--x

Agents are ready but your architecture probably isn't

This Databricks article discusses the gap between the readiness of AI agent technology and the organizational and technical architectures needed to deploy them effectively. It likely addresses infrast

industrydatabricks