model releases

Generalization Bounds of Spiking Neural Networks via Rademacher Complexity

arXiv:2605.02927v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) have garnered increasing attention as one of bio-inspired models due to their great potential in neuromorphic computing

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Generative Quantum-inspired Kolmogorov-Arnold Eigensolver

DGX agent

arXiv:2605.04604v1 Announce Type: cross Abstract: High-performance computing (HPC) is increasingly important for scalable quantum chemistry workflows that couple classical generative models, quantum c

model-releasesarxiv-cs-lg

7 May 2026

Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow

arXiv:2603.26178v2 Announce Type: replace Abstract: We introduce the Geometric Evolution Graph Convolutional Network (GEGCN), a novel framework that enhances graph representation learning through expl

Google launches the Google Fitbit Air, a $100 Whoop-like screenless wearable with Gemini-powered features like Google Health Coach, available from May 26 (Cherlynn Low/Engadget)

Cherlynn Low / Engadget: Google launches the Google Fitbit Air, a $100 Whoop-like screenless wearable with Gemini-powered features like Google Health Coach, available from May 26 — The Whoop-like wear

model-releasestechmeme

Google rebrands Fitbit Premium as Google Health Premium, adding Gemini-powered coaching and other features, and raises its annual price from 79.99 to 99.99 (Adamya Sharma/Android Authority)

Adamya Sharma / Android Authority: Google rebrands Fitbit Premium as Google Health Premium, adding Gemini-powered coaching and other features, and raises its annual price from 79.99 to 99.99 — The reb

model-releasestechmeme

Gradient Scaling Effects in Adaptive Spectral PINNs for Stiff Nonlinear ODEs

arXiv:2605.04502v1 Announce Type: new Abstract: Physics-Informed Neural Networks (PINNs) often struggle to train reliably on stiff and oscillatory dynamical systems due to poor optimization conditioni

Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models

arXiv:2605.04638v1 Announce Type: new Abstract: Uncertainty quantification (UQ) is an important technique for ensuring the trustworthiness of LLMs, given their tendency to hallucinate. Existing state-

Grill issue, incredible Here's yet more AIE Europe content from me

Grill issue, incredible Here's yet more AIE Europe content from me @mattpocockuk @aiDotEngineer we just released a @latentspacepod chat about his talk and how he works as well https://youtu.be/rlM_fAK

model-releasesswyx--x

Grok Computer just released and it comes with full filesystem + CLI access This is the upgrade everyone’s been waiting for Regular Grok chat…

model-releaseselon-musk--x

Grok Computer just released and it comes with full filesystem + CLI access This is the upgrade everyone’s been waiting for Regular Grok chat gives you suggestions. Grok Computer actually does the work

Helmlab: A Two-Space Family of Analytical, Data-Driven Color Spaces for UI Design Systems

arXiv:2602.23010v3 Announce Type: replace-cross Abstract: We present Helmlab, a family of two purpose-built color spaces for UI design systems sharing a common 11-stage analytical structure: MetricSpa

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery

arXiv:2605.04191v1 Announce Type: cross Abstract: Public attitudes toward artificial intelligence are heterogeneous, ordinally measured, and poorly captured by any single dependency graph. Existing or

How BASF manages thousands of supply chain decisions with AlphaEvolve’s agentic algorithms

model-releasesgoogle-cloud-ai

The agricultural and crop protection supply chain is one of the most intricate networks in the world. It takes up to two years to turn active ingredients into the final products farmers need, and a si

HUGO-CS: A Hybrid-Labeled, Uncertainty-Aware, General-Purpose, Observational Dataset for Cold Spray

arXiv:2605.04257v1 Announce Type: new Abstract: Cold spraying is an increasingly common approach for repairing and manufacturing components due to its solid-state manufacturing capabilities. However,

I don't really ever trust benchmarks, so ocassionally I'm stress-vibe-testing a bunch of new models on some very complex agent work (hundred…

model-releasesclem-delangue--x

I don't really ever trust benchmarks, so ocassionally I'm stress-vibe-testing a bunch of new models on some very complex agent work (hundreds of tools, not your simple coding agent stuff) and to my su

ICPR 2026 Competition on Privacy-Preserving Person Re-Identification from Top-View RGB-Depth Camera (TVRID)

arXiv:2605.04977v1 Announce Type: new Abstract: This companion paper reports the ICPR 2026 TVRID competition on privacy-aware top-view person re-identification. We present the competition setting, the

If a task needs multiple tools, Codex chooses the best one for each step. It uses plugins when they can handle the job, Chrome when it needs…

If a task needs multiple tools, Codex chooses the best one for each step. It uses plugins when they can handle the job, Chrome when it needs a logged-in website, and combines approaches as needed. Med

model-releasesopenai--x

If Llama 4 didn’t fail, if Microsoft had pulled Sydney after the Roose article, if New Sonnet hadn’t been so good, if Orion hadn’t been so m…

model-releasesethan-mollick--x

If Llama 4 didn’t fail, if Microsoft had pulled Sydney after the Roose article, if New Sonnet hadn’t been so good, if Orion hadn’t been so meh, if the leadership change at OpenAI had happened, if a re

Imagery Dataset for Remaining Useful Life Estimation of Synthetic Fibre Ropes

arXiv:2605.04262v1 Announce Type: new Abstract: Remaining useful life (RUL) estimation of synthetic fibre ropes (SFRs) is critical for safe operation in offshore-crane, wind turbine installation, and

Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding

arXiv:2605.04825v1 Announce Type: new Abstract: Factorization machine with quadratic-optimization annealing (FMQA) is a black-box optimization method that combines a factorization machine (FM) surroga

Information Coordination as a Bridge: A Neuro-Symbolic Architecture for Reliable Autonomous Driving Scene Understanding

arXiv:2605.04475v1 Announce Type: new Abstract: Reliable autonomous driving requires scene understanding that is semantically consistent across heterogeneous sensors and verifiable at the reasoning st

Intermediate Representations are Strong AI-Generated Image Detectors

arXiv:2605.04358v1 Announce Type: new Abstract: The rapid advancement in generative AI models has enabled the creation of photorealistic images. At the same time, there are growing concerns about the

Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents. Voice agents ar…

Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet, bringing GPT-5-class reasoning to voice agents. Voice agents are now real-time collaborators that can listen, reason, and s

model-releasesopenai--x

🚀 Introducing the genmedia CLI, generative media directly from the command line. Generate images, video, 3D and audio from your terminal, a…

model-releasessonya-huang--x

🚀 Introducing the genmedia CLI, generative media directly from the command line. Generate images, video, 3D and audio from your terminal, alongside Claude and other AI agents. • Native terminal workfl

Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for ag…

model-releasesyohei-nakajima--x

Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift

arXiv:2605.04932v1 Announce Type: cross Abstract: We study long-horizon deployment of a frozen predictor under dynamic covariate shift. A time-domain Poincare inequality reduces temporal risk volatili

Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation

arXiv:2605.05125v1 Announce Type: new Abstract: Target trial emulation (TTE) enables causal questions to be studied with observational data when randomized controlled trials (RCTs) are infeasible. Yet

Jordan-RoPE: Non-Semisimple Relative Positional Encoding via Complex Jordan Blocks

arXiv:2605.04217v1 Announce Type: cross Abstract: Relative positional encodings determine which functions of query-key lag can enter the primitive attention logit. RoPE supplies a rotary phase, while

just imagine what might happen if everybody was stockpiling GPUs at high prices for a demand that didn’t quite materialize….

model-releasesgary-marcus--x

just imagine what might happen if everybody was stockpiling GPUs at high prices for a demand that didn’t quite materialize…. So, look surprised: xAI, which is now part of SpaceX, stockpiled too many N

KernelBench-X: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

arXiv:2605.04956v1 Announce Type: new Abstract: LLM-based Triton kernel generation has attracted significant interest, yet a fundamental empirical question remains unanswered: where does this capabili

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning

model-releasesarxiv-cs-ro

arXiv:2602.04129v2 Announce Type: replace Abstract: Heterogeneous multi-robot systems are increasingly used in long-horizon missions requiring coordinated planning across diverse capabilities. However

Laundering AI Authority with Adversarial Examples

arXiv:2605.04261v1 Announce Type: cross Abstract: Vision-language models (VLMs) are increasingly deployed as trusted authorities -- fact-checking images on social media, comparing products, and modera

Listen to Cat. This interview with @lennysan captures a shift we’re all feeling: what it means to be a PM (and build products) in the age of…

model-releasesitamar-friedman--x

Listen to Cat. This interview with @lennysan captures a shift we’re all feeling: what it means to be a PM (and build products) in the age of AI. My takeaways (mostly her words, with some tweaks for ho

llm-gemini 0.31

model-releasessimon-willison

Release: llm-gemini 0.31 gemini-3.1-flash-lite is no longer a preview. Here's my write-up of the Gemini 3.1 Flash-Lite Preview model back in March. I don't believe this new non-preview model has chang

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore)

arXiv:2605.05187v1 Announce Type: new Abstract: This paper reports on the LoViF 2026 PhyScore challenge, a competition on holistic quality assessment of world-model-generated videos across both 2D and

Low-Rank Adaptation of Geospatial Foundation Models for Wildfire Mapping Using Sentinel-2 Data

arXiv:2605.04989v1 Announce Type: new Abstract: Wildfire burned-area mapping is essential for damage assessment, emissions modeling, and understanding fire-climate interactions across diverse ecologic

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems

arXiv:2605.04323v1 Announce Type: new Abstract: Understanding soil is fundamental to agriculture, carbon cycling, and environmental sustainability, yet progress is limited by fragmented and heterogene

Magic-Informed Quantum Architecture Search

arXiv:2605.03932v1 Announce Type: cross Abstract: Nonstabilizerness, commonly referred to as magic, is a fundamental resource underpinning quantum advantage. In this paper, we propose a magic-informed

Making Knowledge Accessible: Divergent Readability-Accuracy Strategies of Mistral and QWen in Biomedical Text Simplification

arXiv:2511.05080v4 Announce Type: replace Abstract: The growing public demand for accessible biomedical information calls for scalable text simplification. While large language models (LLMs) offer sol

Manifold of Failure: Behavioral Attraction Basins in Language Models

arXiv:2602.22291v3 Announce Type: replace Abstract: While prior work has focused on projecting adversarial examples back onto the manifold of natural data to restore safety, we argue that a comprehens

@mattpocockuk @aiDotEngineer we just released a @latentspacepod chat about his talk and how he works as well https://youtu.be/rlM_fAKxB3Q

This post announces the release of a Latent Space podcast episode featuring a discussion with Matt Pocock about his recent talk and work practices, with a linked YouTube video of the conversation.

model-releasesswyx--x

May 7, 1909: Edwin Land, inventor of instant photography and co-founder of the Polaroid Corporation, is born in Bridgeport, Connecticut.

model-releasesanthropic--x

Edwin Land, born May 7, 1909, in Bridgeport, Connecticut, was an American inventor and scientist who revolutionized photography through his development of instant film technology. He co-founded the Po

Memory as a Markov Matrix: Sample Efficient Knowledge Expansion via Token-to-Dictionary Mapping

arXiv:2605.04308v1 Announce Type: new Abstract: Continual incorporation of new knowledge is essential for the long-term evolution of large language models (LLMs). Existing approaches typically rely on

MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agents

arXiv:2605.03675v1 Announce Type: new Abstract: Long-running autonomous AI agents suffer from a well-documented memory coherence problem: tool-execution success rates degrade 14 percentage points over

MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

arXiv:2605.03952v1 Announce Type: cross Abstract: Coding agents often pass per-prompt safety review yet ship exploitable code when their tasks are decomposed into routine engineering tickets. The chal

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning

arXiv:2605.04058v1 Announce Type: new Abstract: Parameter-efficient transfer learning (PETL) has emerged as a pivotal paradigm for adapting pre-trained foundation models to downstream tasks, significa

MRI-Eval: A Tiered Benchmark for Evaluating LLM Performance on MRI Physics and GE Scanner Operations Knowledge

arXiv:2605.05175v1 Announce Type: cross Abstract: Background: Existing MRI LLM benchmarks rely mainly on review-book multiple-choice questions, where top proprietary models already score highly, limit

Multi-Token Prediction (MTP) for LLaMA.cpp! Running Gemma4 local model 1.5x faster. We patched LLaMA.cpp. Quantized Gemma 4 assistant models…

model-releasesclem-delangue--x

Multi-Token Prediction (MTP) for LLaMA.cpp! Running Gemma4 local model 1.5x faster. We patched LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. We ran tests on a MacBook Pro M5Max. Gemm

MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains

arXiv:2511.06452v3 Announce Type: replace Abstract: Although multimodal fusion has made significant progress, its advancement is severely hindered by the lack of adequate evaluation benchmarks. Curren