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Retrieving and Refining Winning Noise Tickets for Diffusion-Based Motion Generation

arXiv:2607.06843v1 Announce Type: new Abstract: Diffusion-based text-to-motion models synthesize realistic human motions but often exhibit semantic drift from the input text. Motion is inherently temp

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Model Releases

Riemannian Geometry for Pre-trained Language Model Embeddings

DGX agent

arXiv:2607.07047v1 Announce Type: cross Abstract: Understanding the geometric structure of pre-trained language model embeddings matters for interpretability and safety. We ask whether sentence-level

model-releasesarxiv-cs-ai

9 Jul 2026

ROAD-Waymo: A Large-Scale Action Awareness Dataset for Autonomous Driving

arXiv:2411.01683v3 Announce Type: replace Abstract: Autonomous Vehicle (AV) perception systems require more than simply seeing, via e.g., object detection or scene segmentation. They need a holistic u

RoboLight: A Dataset with Linearly Composable Illumination for Robotic Manipulation

model-releasesarxiv-cs-ro

arXiv:2603.04249v2 Announce Type: replace Abstract: In this paper, we introduce RoboLight, the first real-world robotic manipulation dataset capturing synchronized episodes under systematically varied

Safely run AI-generated code in Cloud Run sandboxes

model-releasesgoogle-cloud-ai

Here’s a question we hear often at Google Cloud: How do you safely run AI-generated code or untrusted binaries without putting your host application, data, and cloud credentials at risk? In other word

Say hello to Claude Wrapped

model-releasesthe-verge-ai

The popularity of Spotify Wrapped has kicked off a wide range of year-in-review features, on apps from YouTube to Uber - and now, the lookback trend has come to AI. Anthropic on Thursday announced a '

Self-Supervised Pretraining Improves Cross-Site and Cross-Scale Robustness of Point Cloud Leaf-Wood Segmentation

arXiv:2607.06948v1 Announce Type: cross Abstract: The accuracy of existing leaf-wood segmentation methods for tree point clouds varies across forest types and sites. Self-supervised learning (SSL) on

Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models

arXiv:2507.14159v2 Announce Type: replace-cross Abstract: Predicting critical phenomena from limited labeled data remains a challenging task in statistical physics. As percolation theory provides a ca

SmartHomeSecure: Automated Detection and Repair of Smart Home Configuration Errors Using Large Language Models

arXiv:2607.06748v1 Announce Type: cross Abstract: Smart home automation platforms increasingly rely on user-authored YAML configuration files to define device behaviors, but these files are prone to s

Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.

OpenAI has announced the rollout of its GPT-5.6 family of models, consisting of Sol, Terra, and Luna variants, across ChatGPT, Codex, and API platforms. These models represent the latest iteration in

model-releasesopenai--x

Solve harder problems with AlphaEvolve, now available to everyone on Google Cloud

model-releasesgoogle-cloud-ai

Many of the most challenging and valuable problems in the world are related to optimization. Now, AI is now making these problems tractable. If you've ever tried to design a microchip, plan a delivery

SpaceXAI's Grok 4.5 takes the #1 spot on AutomationBench-AA with a score of 51%, ahead of Claude Fable 5 (49%) and Claude Opus 4.8 (48%) at …

model-releaseselon-musk--x

SpaceXAI's Grok 4.5 takes the #1 spot on AutomationBench-AA with a score of 51%, ahead of Claude Fable 5 (49%) and Claude Opus 4.8 (48%) at roughly a quarter of their cost per task - the first model t

Specification Grounding Drives Test Effectiveness for LLM Code

arXiv:2607.06636v1 Announce Type: cross Abstract: Large language models frequently generate code that appears correct on typical inputs yet fails on edge cases, invalid inputs, and other specification

spent a ton of time working on this!! so happy to see the results come out. very impressive model from @NVIDIAAI that we fit our harness to …

model-releasesharrison-chase--x

spent a ton of time working on this!! so happy to see the results come out. very impressive model from @NVIDIAAI that we fit our harness to so we could get better performance! We tuned the harness for

Stage-Aware Adaptation and Distribution Calibration for Subject-Driven Personalized Text-to-Image Generation

arXiv:2607.07173v1 Announce Type: new Abstract: Subject-driven personalized text-to-image generation requires a pretrained diffusion model to acquire a specific subject from a few reference images whi

Statistical inverse learning and ell^1-regularization

arXiv:2607.07468v1 Announce Type: cross Abstract: We study the recovery of sparse functions from finite, noisy, and indirect observations in the framework of statistical inverse learning. The unknown

Structural Adversarial Attacks on Relational Deep Learning under Integrity Constraints

arXiv:2607.07089v1 Announce Type: new Abstract: Relational Deep Learning (RDL) has become a standard methodology for machine learning on relational databases: the database is encoded as a heterogeneou

SynthAVE: Scalable Synthetic Labeling for E-Commerce with LLM-Arena Validation

arXiv:2607.07469v1 Announce Type: cross Abstract: Fine-tuning large language models (LLMs) for e-commerce attribute extraction requires labeled data representative across thousands of product types, a

T^{3}S: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Series

arXiv:2506.12885v4 Announce Type: replace Abstract: Crop type classification from optical satellite time series remains limited in its ability to generalize across growing seasons, particularly when c

TF-Engram: A Train-Free Engram with SSD-Backed Memory for Large Language Models

model-releasesarxiv-cs-cl

arXiv:2607.07388v1 Announce Type: new Abstract: Large Language Models (LLMs) store factual knowledge and domain-specific patterns implicitly in dense Transformer parameters, making knowledge expansion

The Appeal and Reality of Recycling LoRAs with Adaptive Merging

arXiv:2602.12323v2 Announce Type: replace Abstract: The widespread availability of fine-tuned LoRA modules for open pre-trained models has led to an interest in methods that can adaptively merge LoRAs

// The Harness Effect // (bookmark it) Now more that ever pay very close attention to the orchestration harness and its effect on costs and …

// The Harness Effect // (bookmark it) Now more that ever pay very close attention to the orchestration harness and its effect on costs and performance. This study ran 22 evaluation tasks on six found

model-releasesdair-ai--x

The Harness Effect: How Orchestration Design Sets the Token Economics of Enterprise Agentic AI

arXiv:2607.06906v1 Announce Type: new Abstract: Agentic AI development today runs on token maxing: buying capability with tokens -- longer reasoning traces, more turns, wider tool payloads, bigger rep

The Key to Going Linear: Analysis-Driven Transformer Linearization

arXiv:2607.07706v1 Announce Type: new Abstract: The quadratic cost of causal self-attention severely bottlenecks long-context transformer inference. While numerous post hoc linearization pipelines exi

The metrics discussion at OpenAI is a little confusing to me. I appreciate the clarification about bad benchmarks, but they spent a lot of m…

model-releasesethan-mollick--x

The metrics discussion at OpenAI is a little confusing to me. I appreciate the clarification about bad benchmarks, but they spent a lot of money developing a very good benchmark of autonomous model ab

The new GPT-5.6 family: Luna, Terra, Sol

model-releasessimon-willison

OpenAI's latest flagship model hit general availability this morning, and comes in three sizes: Luna, Terra, and Sol (from smallest to largest). The new models are priced per 1M input/output tokens as

The Solutions team @MistralAI is hiring globally! If you’re entrepreneurial, hands-on, and want to shape how enterprises adopt AI, let’s tal…

model-releasesmistral-ai--x

The Solutions team @MistralAI is hiring globally! If you’re entrepreneurial, hands-on, and want to shape how enterprises adopt AI, let’s talk. Apply: https://mistral.ai/careers/?utm_source=linkedin&ut

The upcoming wave of SpaceXAI Grok updates is insane Grok 4.5: The 1.5T foundation model is being refined almost daily, and its context wind…

model-releaseselon-musk--x

The upcoming wave of SpaceXAI Grok updates is insane Grok 4.5: The 1.5T foundation model is being refined almost daily, and its context window is expected to jump to 1M tokens, possibly as soon as nex

Think Big, Search Small: Where Capacity Matters in Hierarchical Search Agents?

model-releasesarxiv-cs-cl

arXiv:2607.07548v1 Announce Type: new Abstract: Large language model based search agents increasingly adopt multi-agent architectures in which a main agent decomposes a complex question into sub-queri

Thinking Ahead: Foresight Intelligence in MLLMs and World Model

arXiv:2511.18735v3 Announce Type: replace-cross Abstract: In this work, we define Foresight Intelligence as the capability to anticipate and interpret future events-an ability essential for applicatio

This is confusing... Claude Cowork was a purposefully more secure (& slightly weaker) alternative to Code designed so non-coders couldn't ca…

model-releasesethan-mollick--x

This is confusing... Claude Cowork was a purposefully more secure (& slightly weaker) alternative to Code designed so non-coders couldn't cause too much trouble. I got that. But I don't understand wha

TimEE: End-to-end Time Series Classification via In-Context Learning

arXiv:2607.07500v1 Announce Type: cross Abstract: Time series classification (TSC) is dominated by a two-stage paradigm: train a feature encoder -- either from scratch on the target dataset or via pre

To be frank, at @QodoAI we were cautious about the last few GPT-5.x upgrades. GPT-5.6 is a clear-cut upgrade. Better code-review quality, fe…

model-releasesitamar-friedman--x

To be frank, at @QodoAI we were cautious about the last few GPT-5.x upgrades. GPT-5.6 is a clear-cut upgrade. Better code-review quality, fewer tokens, lower latency. @OpenAI cooked here. obviously th

TRACE-Seg3D: Counterfactual Context Auditing For Robust 3D Glioma Segmentation Under Institutional Shift

arXiv:2607.07038v1 Announce Type: new Abstract: Medical image segmentation models can achieve strong benchmark performance while remaining sensitive to scanner, protocol, and institutional variation.

Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning

arXiv:2607.07117v1 Announce Type: cross Abstract: In text-to-image in-context learning (T2I-ICL), a model has to infer a latent compositional pattern from fewshot demonstrations for generating a query

Try @Grok 4.5!

model-releaseselon-musk--x

Try @Grok 4.5! Grok 4.5 is the top non-Anthropic model on AA-Briefcase, combining frontier agentic knowledge work capabilities with leading cost and time-efficiency Yesterday @SpaceXAI released Grok 4

Try it now in Devin Cloud, Devin Desktop, and Devin CLI. Read more at https://devin.ai/blog/gpt-5-6

model-releasescognition-ai--x

Cognition AI announced new features or capabilities for Devin (their AI software engineer tool) that are now available across Devin Cloud, Devin Desktop, and Devin CLI, with additional details availab

Two-Stage Multi-Modal Fusion with Adaptive Alignment for Action Quality Assessment

arXiv:2607.07438v1 Announce Type: new Abstract: Action Quality Assessment (AQA) aims to evaluate how well a person performs a movement, which is essential in applications such as sports scoring, skill

u guys were clowning on @greptile but turns out they were just the inspo for @openai to go so, so much harder https://x.com/JangLawrenceK/st…

u guys were clowning on @greptile but turns out they were just the inspo for @openai to go so, so much harder https://x.com/JangLawrenceK/status/2075204015890325703 guys I just cancelled my Claude pla

model-releasesswyx--x

Unraveling Machine Behavior by Multi-Level Bias Analysis and Detection: Methodology and Application to Computer Vision

arXiv:2607.07236v1 Announce Type: new Abstract: This study investigates the presence and propagation of bias within Neural Networks through a comprehensive multi-level analysis spanning the learned la

VCDP: Variation-Conditioned Distributional Proxy Learning for Semi-Supervised Medical Image Segmentation

arXiv:2607.07416v1 Announce Type: new Abstract: Semi-supervised 3D medical image segmentation reduces the need for dense voxel-level annotations by exploiting unlabeled volumes. Although existing meth

Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild

arXiv:2607.06875v1 Announce Type: new Abstract: Understanding and forecasting audience reactions to video content are crucial for improving content creation, recommendation systems, and media analysis

Watch Ollama's @jmorgan and @peterfenton on @CNBC with @dee_bosa at 12pm PT / 3pm ET to discuss 'The Post-Frontier Era' and 'Open-Source AI'…

Watch Ollama's @jmorgan and @peterfenton on @CNBC with @dee_bosa at 12pm PT / 3pm ET to discuss 'The Post-Frontier Era' and 'Open-Source AI's Breakout Moment' Benchmark’s @peterfenton says 90%+ of tok

model-releasesollama--x

We built a plugin that traces every Claude Code session straight into LangSmith. Three commands, one JSON block, and every message, tool cal…

model-releasesharrison-chase--x

We built a plugin that traces every Claude Code session straight into LangSmith. Three commands, one JSON block, and every message, tool call, and subagent run shows up as an inspectable trace. Setup

We comprehensively benchmarked GPT-5.6 on document understanding. At a high-level there's no change between GPT-5.6 Sol and GPT-5.5 in terms…

model-releasesjerry-liu--x

We comprehensively benchmarked GPT-5.6 on document understanding. At a high-level there's no change between GPT-5.6 Sol and GPT-5.5 in terms of performance over tables, text, charts, layout, and more.

What Predicts Correctness in Text-to-SQL? A Selective-Prediction Study

arXiv:2607.06799v1 Announce Type: cross Abstract: Evaluating uncertainty in AI-generated SQL queries requires estimating whether a query is correct, where correct means it executes to the same result

What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale

arXiv:2510.13817v2 Announce Type: replace Abstract: The growth of IoT devices in shared environments has outpaced our ability to identify them, posing urgent risks to privacy, safety, and accountabili

Where to Intervene? Benchmarking Fairness-Aware Learning on Differentially Private Synthetic Tabular Data

arXiv:2607.07471v1 Announce Type: cross Abstract: Machine learning models are increasingly deployed in high-stakes domains, raising concerns about both privacy and fairness. Differential Privacy (DP)