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OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Prediction

arXiv:2609.02158v1 Announce Type: cross Abstract: Legal Judgment Prediction (LJP) models are typically trained on documents that describe facts from a prosecutorial perspective. Existing datasets furt

safetyarxiv-cs-ai

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Of all the use cases for GPT-6 Astra, I'm most excited for scientific discovery. We at @OpenAI have not pushed it to its limits on math and …

DGX agent

Of all the use cases for GPT-6 Astra, I'm most excited for scientific discovery. We at @OpenAI have not pushed it to its limits on math and science. I look forward to waking up every morning and seein

industrysam-altman--x

3 Sept 2026

oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions

arXiv:2609.02672v1 Announce Type: new Abstract: Hyper-Connections (HC) replace the single residual stream of a Transformer with n parallel ones, mixing them at every layer with a learned n imes n resi

researcharxiv-cs-cl

Ollama Pro is 20, but the new '60 credits' are more like $7-8 elsewhere

Everyone is talking about how the new credit system gives significantly less usage than the old Ollama Pro limits, but there's another part of the pricing that seems a bit crazy to me. For example, I

model-releasesr-ollama

Omega-N: Interpretable Structural Node Descriptors and Their Applicability Domain

arXiv:2609.01633v1 Announce Type: cross Abstract: A composite structural index summarises a network in one number; for a triangle-based index it is spectrally redundant: Tr(A^3) is the third moment of

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Agents

OmegaUse-SOP: SOP Engineering for Professional Computer Use from Human Demonstrations

arXiv:2609.02149v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly evolving from conversational assistants into agents capable of operating external digital environments.

agentsarxiv-cs-ai

Hardware

Omg what! The Hugging Face deal price was the code for the hugging 🤗 emoji. Did someone leave money on the table to make $12.9303 happen?? …

Omg what! The Hugging Face deal price was the code for the hugging 🤗 emoji. Did someone leave money on the table to make $12.9303 happen?? https://www.businessinsider.com/nvidia-hugging-face-deal-pric

hardwareclem-delangue--x

On Cost-Aware Designs for Sequential Hypothesis Testing

arXiv:2512.19067v2 Announce Type: replace-cross Abstract: We introduce Cost-Aware (CA) Sequential Hypothesis Testing (CASHT), in which an active decision-maker selects sensing actions with differing,

safetyarxiv-cs-lg

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers

arXiv:2609.01947v1 Announce Type: cross Abstract: Compact instruction-following rerankers are attractive for deployment, but conventional distillation pipelines typically train students by offline imi

One Demonstration, Many Objects: Generalizing Manipulation via Local Contact Geometry

arXiv:2609.01938v1 Announce Type: new Abstract: Dexterous manipulation with multi-fingered robot hands promises human-level dexterity, but collecting large-scale dexterous robot hand data remains diff

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One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models

arXiv:2607.19128v2 Announce Type: replace Abstract: Vision-language models (VLMs) provide a unified representation space for textual and visual information, yet their potential as general-purpose back

researcharxiv-cs-lg

'One remaining area of important capability we haven't seen demonstrated yet by any model is open-ended invention and discovery.' Benchmarks…

'One remaining area of important capability we haven't seen demonstrated yet by any model is open-ended invention and discovery.' Benchmarks keep going up. Open-endedness keeps moving up in importance

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Online Non-Monotone DR-Submodular Maximization Matching the Offline 0.401 Factor

arXiv:2609.02145v1 Announce Type: cross Abstract: We study online maximization of nonnegative, non-monotone DR-submodular functions over compact convex down-closed subsets of the d-dimensional unit cu

Local Ai

Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling

arXiv:2609.02566v1 Announce Type: new Abstract: Machine-learnt corrections can complement numerical weather prediction only if they adapt to the evolving model state while preserving dynamical consist

local-aiarxiv-cs-lg

Open models are for everyone and how AI reaches everyone. 18M developers. 3M models. 200K companies building on @huggingface. @Dell has been…

Open models are for everyone and how AI reaches everyone. 18M developers. 3M models. 200K companies building on @huggingface. @Dell has been partnered with Hugging Face for years. Now with @nvidia's b

safetyclem-delangue--x

Hardware

Open-sourced an experimental standalone DLSS 5 video player for neural rendering

hardwarer-stablediffusion

I’ve been experimenting with neural rendering outside a game engine and built a native Windows video player around it. It prepares a neural-rendered version of a video, caches it, and lets you switch

OpenAI calls GPT-6 Astra the 'world's best computer use model'; in tests, it booked DMV appointments and searched job listings faster than the average person (Maxwell Zeff/Wired)

Maxwell Zeff / Wired: OpenAI calls GPT-6 Astra the “world's best computer use model”; in tests, it booked DMV appointments and searched job listings faster than the average person — OpenAI leaders thi

industrytechmeme

OpenAI commits $1B in subsidized model access, training, support, and partnerships to a new initiative aimed at protecting essential services around the world (Sam Sabin/Axios)

Sam Sabin / Axios: OpenAI commits 1B in subsidized model access, training, support, and partnerships to a new initiative aimed at protecting essential services around the world — - The 1 billion will

industrytechmeme

OpenAI launches GPT-6 Astra, initially for customers in its Daybreak program; Greg Brockman says it is a 'generational leap' and 'we are now in the AGI era' (Hayden Field/The Verge)

Hayden Field / The Verge: OpenAI launches GPT-6 Astra, initially for customers in its Daybreak program; Greg Brockman says it is a “generational leap” and “we are now in the AGI era” — OpenAI's next b

model-releasestechmeme

OpenAI prices GPT-6 Astra at 10/1M input tokens and 50/1M output tokens, matching Anthropic's pricing for Claude Fable 5.1 (The Deep View)

The Deep View: OpenAI prices GPT-6 Astra at 10/1M input tokens and 50/1M output tokens, matching Anthropic's pricing for Claude Fable 5.1 — OpenAI's now infamous model that was part of the Hugging Fac

model-releasestechmeme

OpenAI says Astra was built on its largest-ever training run, using more than 100,000 GPUs at its Stargate site in Texas (Ina Fried/Axios)

Ina Fried / Axios: OpenAI says Astra was built on its largest-ever training run, using more than 100,000 GPUs at its Stargate site in Texas — OpenAI on Thursday released GPT-6 Astra, which president G

model-releasestechmeme

OpenAI starts rolling out its next-generation GPT-6 Astra model

OpenAI Group PBC today started opening access to GPT-6 Astra, its newest and most capable large language model. The company stated that the LLM demonstrates “state of the art” performance in multiple

industrysiliconangle

OpenAI’s next big AI model has ‘entered the AGI era’

OpenAI's next big model is here: GPT-6 Astra. The company calls it a 'generational leap in capability' for areas like cybersecurity, professional work, software engineering, science, and computer use.

industrythe-verge-ai

Openvurp: a wallet of agents that work together

I have a few AI subscriptions and I kept running into the same problem. I had powerful models available, but I struggled to use them in real life in an organized way. I looked at projects like OpenCla

model-releasesr-ollama

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

arXiv:2609.01933v1 Announce Type: new Abstract: Modern supply chain operations can require coordinating replenishment across thousands of heterogeneous items under correlated stochastic demand, hetero

researcharxiv-cs-lg

Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models

arXiv:2609.02638v1 Announce Type: new Abstract: Knowledge graphs have become an important source of structured knowledge for Web applications, including search, question answering, and recommender sys

tutorialsarxiv-cs-lg

ORB-SVM : An Innovative Hybrid Framework for Efficient Brain Tumor Detection from MRI Scans

arXiv:2609.02333v1 Announce Type: cross Abstract: Brain cancer remains one of the most significant challenges in modern medicine, where the accuracy of early stage diagnosis is a decisive factor in pa

Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition

arXiv:2609.02510v1 Announce Type: new Abstract: We study body-only, 12-class acted-emotion classification from skeleton motion under leave-performer-out (LPO) evaluation, a hard, underdetermined setti

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OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration

model-releasesarxiv-cs-ro

arXiv:2606.15255v2 Announce Type: replace Abstract: Coordinating heterogeneous multi-robot systems (MRS) for complex, long-horizon tasks requires both flexible high-level reasoning and efficient execu

Local Ai

Our new new one-click local model setup is perfect for use with NVIDIA hardware

Our new new one-click local model setup is perfect for use with NVIDIA hardware Local AI agents should be easy to set up. That’s why @NousResearch is bringing one-click local model setup to Hermes Age

local-ainous-research--x

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

arXiv:2609.01896v1 Announce Type: cross Abstract: Power-outage planning requires scenarios before an event occurs. These scenarios must represent uncertainty in magnitude, timing, and duration while p

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation

arXiv:2607.17499v2 Announce Type: replace Abstract: The evolution of e-commerce has fundamentally transformed how users search for products, shifting from simple text-based keyword queries to complex

Paper Instruments benchmarked sandbox providers for their RL rollouts, and E2B's tool execution came in up to 3x faster than every other san…

Paper Instruments benchmarked sandbox providers for their RL rollouts, and E2B's tool execution came in up to 3x faster than every other sandbox provider they tested, reducing idle GPU time and traini

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PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation

arXiv:2609.02272v1 Announce Type: cross Abstract: Faithfully translating research papers into repository-level implementations remains challenging because papers often describe methods at a high level

Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks

arXiv:2503.00287v3 Announce Type: replace Abstract: Reinforcement learning (RL) has achieved remarkable success in various robotic tasks; however, its deployment in real-world scenarios, particularly

safetyarxiv-cs-ro

PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion

arXiv:2609.02216v1 Announce Type: new Abstract: Inductive knowledge graph completion (IKGC) aims to predict missing links involving entities unseen during training, requiring models to learn transfera

tutorialsarxiv-cs-ai

Perceptually Regularized Diffusion Model for Image Super-Resolution

model-releasesarxiv-cs-cv

arXiv:2609.02016v1 Announce Type: cross Abstract: Image super-resolution, which aims to reconstruct high-resolution images from their low-resolution observations, is fundamental to medical imaging, re

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance

arXiv:2609.02373v1 Announce Type: cross Abstract: We study the dynamics of Stochastic Gradient Descent (SGD), which is known to steer deep neural networks toward invariant sets that correspond to simp

Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations

arXiv:2607.17117v2 Announce Type: replace-cross Abstract: Sparse autoencoders (SAEs) decompose language model activations into sparse features, yet these models traditionally encode each token indepen

tutorialsarxiv-cs-cl

PGPO: Potential-Guided Policy Optimization for Multi-Turn Agentic Tasks

arXiv:2609.02236v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) has become an effective paradigm for LLM post-training, but in multi-turn agentic tasks with sparse terminal rew

safetyarxiv-cs-ai

PhoenixNest-Video: Evidence-Grounded Multimodal Agent Framework for Automated Video Interview Assessment

arXiv:2609.02231v1 Announce Type: new Abstract: Interview assessment requires per-criterion judgments grounded in behavioral evidence, yet surging applicant volumes have made human-only evaluation cos

safetyarxiv-cs-ai

Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

arXiv:2609.02654v1 Announce Type: new Abstract: Low-dose computed tomography (LDCT) measurements contain mixed Poisson-Gaussian noise. However, most self-supervised methods rely on generic image stati

tutorialsarxiv-cs-cv

PIE-APT: Abductive Planning over Temporal Dynamic Knowledge Graphs via Incremental Reasoning

arXiv:2607.27287v2 Announce Type: replace Abstract: Planning over Temporal Dynamic Knowledge Graphs (TDKGs) presents theoretical challenges in open-world environments with incomplete information. Exis

Hardware

PitchBook: 95+ investors put money into both Anthropic and OpenAI amid shifting norms; sources: Menlo, Lightspeed, and Iconiq each hold 1%-2% Anthropic stakes (Erin Griffith/New York Times)

Erin Griffith / New York Times: PitchBook: 95+ investors put money into both Anthropic and OpenAI amid shifting norms; sources: Menlo, Lightspeed, and Iconiq each hold 1%-2% Anthropic stakes — As the

hardwaretechmeme

PIVOTSBench: Evaluating Fine-Grained Interpersonal Relationship Reasoning in Multimodal Large Language Models

model-releasesarxiv-cs-cl

arXiv:2606.23092v2 Announce Type: replace Abstract: Humans possess an innate ability to understand fine-grained interpersonal relationships, which is central to everyday social interactions. Although

PlantC2USeg: Cross-Scale Consistent Pre-Training for Few-Shot Unified Plant Point Cloud Segmentation

arXiv:2609.02860v1 Announce Type: new Abstract: Modern crop breeding demands precise organ-level analysis for trait quantification, making plant point cloud segmentation (PPCS) increasingly important.

researcharxiv-cs-cv

Plenoptic Condensation: A Novel Approach to Generalized Scene Reconstruction

arXiv:2607.18151v2 Announce Type: replace Abstract: We present a novel Generalized Scene Reconstruction (GSR) approach called Plenoptic Condensation (PCon). PCon uses a multi-stage reconstruction pipe

researcharxiv-cs-cv

PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting

model-releasesarxiv-cs-cv

arXiv:2508.00259v2 Announce Type: replace Abstract: While 3D Gaussian Splatting (3DGS) has established new standards for high-fidelity 3D scene modeling, interpreting massive, unstructured Gaussian pr