All entries

Global growth in solar 'the largest ever observed for any source'

Solar added approximately 600 terawatt-hours of generation globally in 2025—the largest increase ever recorded in a single year for any power technology. Solar was the single biggest contributor to gl

industryars-technica

Research

GoCoMA: Hyperbolic Multimodal Representation Fusion for Large Language Model-Generated Code Attribution

DGX agent

arXiv:2604.16377v1 Announce Type: new Abstract: Large Language Models (LLMs) trained on massive code corpora are now increasingly capable of generating code that is hard to distinguish from human-writ

researcharxiv-cs-cl

21 Apr 2026

Google Cloud Next 2026 preview: The real story isn’t AI — it’s the control plane

model-releasessiliconangle

Everyone heading into Google Cloud Next this week is bracing for another wave of artificial intelligence announcements. More Gemini. More agents. More benchmarks. More onstage demos that look great in

Google's Chief AI Architect Koray Kavukcuoglu is working to unite its internal AI coding tools under the Antigravity platform, to counter Claude Code and Codex (Julia Love/Bloomberg)

Julia Love / Bloomberg: Google's Chief AI Architect Koray Kavukcuoglu is working to unite its internal AI coding tools under the Antigravity platform, to counter Claude Code and Codex — At Google, lea

model-releasestechmeme

gpt image 2 can do some reallly hard prompts well I present - the periodic table of Pokémon

gpt image 2 can do some reallly hard prompts well I present - the periodic table of Pokémon ok so... gpt image 2 did this pretty well not everything here is perfect and a lot of the images are off but

industryemad-mostaque--x

Tools

GPT Image 2 on AI Gateway

Vercel announced the availability of GPT Image 2 on its AI Gateway, enabling developers to integrate OpenAI's image generation capabilities through Vercel's unified API platform. This integration allo

toolsvercel-blog

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning

model-releasesarxiv-cs-cv

arXiv:2604.17822v1 Announce Type: new Abstract: Class-Incremental Learning (CIL) aims to continuously acquire new categories while preserving previously learned knowledge. Recently, Contrastive Langua

Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization

arXiv:2604.16496v1 Announce Type: cross Abstract: Continual learning, the ability to acquire new tasks sequentially without forgetting prior knowledge, is essential for deploying neural networks in dy

applicationsarxiv-cs-lg

Grafana is trying to close the AI observability gap before enterprise agents reign supreme

Observability startup Grafana Labs Inc. said today it’s trying to shine a light on the “black box” inner workings of artificial intelligence models with the launch of new capabilities that will better

applicationssiliconangle

GRAIL: Autonomous Concept Grounding for Neuro-Symbolic Reinforcement Learning

arXiv:2604.16871v1 Announce Type: cross Abstract: Neuro-symbolic Reinforcement Learning (NeSy-RL) combines symbolic reasoning with gradient-based optimization to achieve interpretable and generalizabl

agentsarxiv-cs-lg

Tutorials

Graph neural network for colliding particles with an application to sea ice floe modeling

arXiv:2602.16213v2 Announce Type: replace-cross Abstract: This paper introduces a novel approach to sea ice modeling using Graph Neural Networks (GNNs), utilizing the natural graph structure of sea ic

tutorialsarxiv-cs-cv

Graph Neural Networks for Graphs with Heterophily: A Survey

arXiv:2202.07082v4 Announce Type: replace Abstract: Recent years have witnessed fast developments of graph neural networks (GNNs) that have benefited myriad graph analytic tasks and applications. Most

applicationsarxiv-cs-lg

Tutorials

Graph Transformer-Based Pathway Embedding for Cancer Prognosis

arXiv:2604.16685v1 Announce Type: new Abstract: Accurate prediction of cancer progression remains a challenge due to the high heterogeneity of molecular omics data across patients. While biologically

tutorialsarxiv-cs-lg

Local Ai

GraSP: Graph-Structured Skill Compositions for LLM Agents

arXiv:2604.17870v1 Announce Type: new Abstract: Skill ecosystems for LLM agents have matured rapidly, yet recent benchmarks show that providing agents with more skills does not monotonically improve p

local-aiarxiv-cs-cl

Greedy Kalman-Swarm: Improving State Estimation in Robot Swarms in Harsh Environments

arXiv:2604.16868v1 Announce Type: new Abstract: State estimation is a fundamental requirement in robotics, where the accurate determination of a robot's state is essential for stable operation despite

agentsarxiv-cs-ro

Grok

Grok is an AI chatbot developed by xAI, Elon Musk's artificial intelligence company, designed to be witty and have a rebellious streak compared to other AI assistants. The system is integrated with th

industryelon-musk--x

Grokking of Diffusion Models: Case Study on Modular Addition

arXiv:2604.17673v1 Announce Type: new Abstract: Despite their empirical success, how diffusion models generalize remains poorly understood from a mechanistic perspective. We demonstrate that diffusion

applicationsarxiv-cs-lg

GS-STVSR: Ultra-Efficient Continuous Spatio-Temporal Video Super-Resolution via 2D Gaussian Splatting

arXiv:2604.18047v1 Announce Type: new Abstract: Continuous Spatio-Temporal Video Super-Resolution (C-STVSR) aims to simultaneously enhance the spatial resolution and frame rate of videos by arbitrary

safetyarxiv-cs-cv

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling

arXiv:2604.18556v1 Announce Type: new Abstract: Weight quantization has become a standard tool for efficient LLM deployment, especially for local inference, where models are now routinely served at 2-

Guardrails in Logit Space: Safety Token Regularization for LLM Alignment

model-releasesarxiv-cs-lg

arXiv:2604.17210v1 Announce Type: new Abstract: Fine-tuning well-aligned large language models (LLMs) on new domains often degrades their safety alignment, even when using benign datasets. Existing sa

HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval

arXiv:2604.18037v1 Announce Type: new Abstract: Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal quer

researcharxiv-cs-cv

haha

haha My @NousResearch hermes-agent can make movies now using @browser_use skill. No API needed. No human intervention. No bottleneck. Just logged into my Higgsfield account and my hermes-agent goes to

agentsnous-research--x

HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders

arXiv:2604.16430v1 Announce Type: new Abstract: Large Language Models (LLMs) are powerful and widely adopted, but their practical impact is limited by the well-known hallucination phenomenon. While re

🚨HAPPENING NOW: Justice Department announces indictment against Southern Poverty Law Center ('SPLC'). Our indictment alleges SPLC secretly …

🚨HAPPENING NOW: Justice Department announces indictment against Southern Poverty Law Center ('SPLC'). Our indictment alleges SPLC secretly funneled MORE THAN $3 MILLION in funds to members of white su

industryelon-musk--x

Hard to Be Heard: Phoneme-Level ASR Analysis of Phonologically Complex, Low-Resource Endangered Languages

arXiv:2604.18204v1 Announce Type: new Abstract: We present a phoneme-level analysis of automatic speech recognition (ASR) for two low-resourced and phonologically complex East Caucasian languages, Arc

researcharxiv-cs-cl

Harness as an Asset: Enforcing Determinism via the Convergent AI Agent Framework (CAAF)

model-releasesarxiv-cs-lg

arXiv:2604.17025v1 Announce Type: cross Abstract: Large Language Models (LLMs) produce a controllability gap in safety-critical engineering: even low rates of undetected constraint violations render a

Harness Engineering Without the Hype: 🦄 AI That Works #54 https://x.com/i/broadcasts/1DxLdvQrDwkxm

This episode of 'AI That Works' discusses practical approaches to harness engineering in AI systems, likely focusing on techniques for effectively prompting and controlling AI model behavior beyond ma

agentsharrison-chase--x

HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks

arXiv:2512.00592v2 Announce Type: replace Abstract: Autonomous navigation in partially observable environments requires agents to reason beyond immediate sensor input, exploit occlusion, and ensure sa

safetyarxiv-cs-ro

Having a 20-agent system is a million times more powerful than 100 agents working in silos. Last night, I stayed up way too late fixing and …

model-releasesallie-k--miller--x

Having a 20-agent system is a million times more powerful than 100 agents working in silos. Last night, I stayed up way too late fixing and improving my digital workforce for my AI Agent Mastermind pr

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment

arXiv:2604.17928v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Reward (RLVR) has proven effective for training reasoning-oriented large language models, but existing methods la

safetyarxiv-cs-lg

HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents

arXiv:2604.16839v1 Announce Type: new Abstract: Long-term memory is a critical challenge for Large Language Model agents, as fixed context windows cannot preserve coherence across extended interaction

agentsarxiv-cs-cl

Here is a manga made by ChatGPT Images 2.0 of @gabeeegoooh and me looking for more GPUs:

Sam Altman shared a manga-style image created by ChatGPT's image generation model, featuring himself and another person (@gabeeegoooh) humorously searching for GPUs, highlighting the significant compu

industrysam-altman--x

Here's how anyone can find models that work for your hardware easily. 1. Go to http://huggingface.co and make an account 2. Models tab to fi…

Here's how anyone can find models that work for your hardware easily. 1. Go to http://huggingface.co and make an account 2. Models tab to find weights and all compressions 3. Click on your profile on

industryclem-delangue--x

Hermes now assisting me in creating music with Strudel. 🎶🎼🎵

Hermes, an AI model by Nous Research, is being utilized to assist in music creation workflows with Strudel, a live coding environment for algorithmic music and pattern sequencing. This demonstrates pr

researchnous-research--x

HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference

arXiv:2601.13684v2 Announce Type: replace Abstract: The linear memory growth of the KV cache poses a significant bottleneck for LLM inference in long-context tasks. Existing static compression methods

researcharxiv-cs-cl

Tutorials

Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?

arXiv:2604.17930v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit a puzzling disparity in their formal linguistic competence: while they learn some linguistic phenomena with near-pe

tutorialsarxiv-cs-cl

Heterogeneous Self-Play for Realistic Highway Traffic Simulation

arXiv:2604.16406v1 Announce Type: cross Abstract: Realistic highway simulation is critical for scalable safety evaluation of autonomous vehicles, particularly for interactions that are too rare to stu

safetyarxiv-cs-lg

Hardware

HF becoming the platform for agents (assisted by their humans) to use and build AI (rather than just leveraging APIs)!

HF becoming the platform for agents (assisted by their humans) to use and build AI (rather than just leveraging APIs)! Introducing ml-intern, the agent that just automated the post-training team @hugg

hardwareclem-delangue--x

Hardware

Hi i'm dwarkesh! Grew up all over the US, now sf-based and always down to nerd out about AI, science & history :) a lil about me: 🟠 Host of…

Hi i'm dwarkesh! Grew up all over the US, now sf-based and always down to nerd out about AI, science & history :) a lil about me: 🟠 Host of the dwarkesh podcast 🟠 Studied at UT Austin 🟠 Just published

hardwaredylan-patel--x

Hierarchical Retrieval with Out-Of-Vocabulary Queries: A Case Study on SNOMED CT

arXiv:2511.16698v2 Announce Type: replace Abstract: SNOMED CT is a biomedical ontology with a hierarchical representation, modelling terminological concepts at a large scale. Knowledge retrieval in SN

applicationsarxiv-cs-cl

Local Ai

Hierarchical Vision Transformer Enhanced by Graph Convolutional Network for Image Classification

arXiv:2604.16823v1 Announce Type: new Abstract: Vision Transformer (ViT) has brought new breakthroughs to the field of image classification by introducing the self-attention mechanism and Graph Convol

local-aiarxiv-cs-cv

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning

arXiv:2507.05920v2 Announce Type: replace Abstract: State-of-the-art large multi-modal models (LMMs) face challenges when processing high-resolution images, as these inputs are converted into enormous

safetyarxiv-cs-cv

HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents

arXiv:2604.18349v1 Announce Type: new Abstract: Long-term conversational large language model (LLM) agents require memory systems that can recover relevant evidence from historical interactions withou

HiP-LoRA: Budgeted Spectral Plasticity for Robust Low-Rank Adaptation

arXiv:2604.17751v1 Announce Type: cross Abstract: Adapting foundation models under resource budgets relies heavily on Parameter-Efficient Fine-Tuning (PEFT), with LoRA being a standard modular solutio

HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models

arXiv:2508.00553v3 Announce Type: replace Abstract: Vision-Language Models (VLMs) encode images and videos into abundant tokens, which contain substantial redundancy and computation cost. While visual

researcharxiv-cs-cv

HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution

arXiv:2604.17745v1 Announce Type: new Abstract: Recent advances in large language models have highlighted their potential to automate computational research, particularly reproducing experimental resu

HopRank: Self-Supervised LLM Preference-Tuning on Graphs for Few-Shot Node Classification

arXiv:2604.17271v1 Announce Type: new Abstract: Node classification on text-attributed graphs (TAGs) is a fundamental task with broad applications in citation analysis, social networks, and recommenda

applicationsarxiv-cs-cl

HopWeaver: Cross-Document Synthesis of High-Quality and Authentic Multi-Hop Questions

arXiv:2505.15087v3 Announce Type: replace Abstract: Multi-Hop Question Answering (MHQA) is crucial for evaluating the model's capability to integrate information from diverse sources. However, creatin

researcharxiv-cs-cl