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Wonderful to have a broad base acknowledgement of the need for open weights. We are delighted to support as signatories. Open weights is the…

Wonderful to have a broad base acknowledgement of the need for open weights. We are delighted to support as signatories. Open weights is the key to ensuring security, research, innovation and competit

safetyyann-lecun--x

25 Jul 2026

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Agents

Yikes

DGX agent

Yikes New details about the Hugging Face incident from Reuters. The report says OpenAI noticed odd behavior before the event, including an agent leaving notes for future versions of itself with escape

agentselon-musk--x

25 Jul 2026

3D-Aware VLMs with Implicit and Explicit Geometries

arXiv:2607.21595v1 Announce Type: cross Abstract: Despite rapid progress, most existing vision-language models (VLMs) built from 2D visual inputs often struggle when handling various 3D tasks that req

3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch

arXiv:2607.20789v1 Announce Type: new Abstract: Recent advances in 3D scene editing have leveraged iterative diffusion models to update input views. However, this process is computationally expensive

researcharxiv-cs-cv

A Comparative Evaluation of Embeddings and LLMs in a Greek Book Publisher Setting - The CUP Dataset

arXiv:2607.21274v1 Announce Type: cross Abstract: We present CUP, a Greek book retrieval benchmark consisting of 868 catalog records and 104 expert-annotated queries with graded relevance judgments. W

A Counterfactual Cause in Situation Calculus

arXiv:2501.06857v3 Announce Type: replace Abstract: Perhaps the most popular modern formulation of actual causality is the HP account by Halpern and Pearl. Recent advancement has focused on extension

A Diffusion-Model Subpopulation Digital Twin for Mobile Health Deployment: A Case Study on the HeartSteps Intervention

arXiv:2607.21403v1 Announce Type: new Abstract: Mobile-health interventions increasingly use online learning and decision making algorithms to personalize when to nudge users toward healthier behavior

applicationsarxiv-cs-lg

A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks

arXiv:2607.20700v1 Announce Type: cross Abstract: The operation of blockchain is governed by consensus algorithms (CA). Several consensus mechanisms require significant computational power, while othe

safetyarxiv-cs-ai

A Graph Neural Network approach to zero-shot Digital Twins

arXiv:2607.20535v1 Announce Type: cross Abstract: Traditional Predictive Digital Twins often remain geometrically rigid, requiring extensive retraining or fine-tuning whenever the underlying physical

applicationsarxiv-cs-ai

Industry

A joint preliminary evaluation by the UK's AISI and the US' CAISI finds Kimi K3 trails leading US frontier closed weight models on cyber capability (AI Security Institute)

AI Security Institute: A joint preliminary evaluation by the UK's AISI and the US' CAISI finds Kimi K3 trails leading US frontier closed weight models on cyber capability — The UK Artificial Intellige

industrytechmeme

A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction

arXiv:2607.20453v1 Announce Type: cross Abstract: Large language models show promise for clinical prediction, but zero-shot performance on specialized tasks is limited by incomplete domain knowledge,

A new model launch is not a product update ‼ It's one of three things, and you don't know which until you test it. Sometimes it's nothing: t…

model-releasesitamar-friedman--x

A new model launch is not a product update ‼ It's one of three things, and you don't know which until you test it. Sometimes it's nothing: the model improved inside the same distribution, your harness

A New Well-Supported Semantics for Description Logic Programs

arXiv:2607.21203v1 Announce Type: new Abstract: Description logic programs are a powerful formalism for combining rules with ontologies. The well-supported semantics for description logic programs ens

A Polynomial Architecture-Attribution Co-Design Framework for Exact Aumann-Shapley Attribution in GNNs

arXiv:2607.21094v1 Announce Type: new Abstract: We study feature-level and node-level explanations for graph neural networks (GNNs) through the lens of Aumann-Shapley attribution. Path-integral method

applicationsarxiv-cs-lg

A Real-Time Generalized Nash Equilibrium Framework for Interaction-Aware Autonomous Driving in Mixed Traffic

arXiv:2607.21043v1 Announce Type: new Abstract: Safe and efficient navigation in mixed-traffic environments remains a critical challenge for Autonomous Vehicles (AVs), primarily due to the complex int

safetyarxiv-cs-ro

A real-time RGB-D perception pipeline for autonomous impact hammers in mining: self-filtering, rock segmentation and rock-breaking poses generation

arXiv:2607.20748v1 Announce Type: cross Abstract: Impact hammers, also known as rock-breakers, are essential machines in mining operations, where they perform secondary reduction. In underground minin

agentsarxiv-cs-cv

A reminder this is 20% off via the Nous Portal <3

model-releasesnous-research--x

mr‑r0b0t announced that Claude Opus 5 is available at a 20 % discount through the Nous Portal. The model can be accessed via the Hermes Agent on the Nous Portal, as well as through OpenRouter and Anth

A Self-Evolving Default Action for Cooperative Tasks with Continuous Action Space

arXiv:2607.18597v2 Announce Type: replace Abstract: Counterfactual credit assignment has proven effective in multi-agent reinforcement learning (MARL) for discrete action spaces, yet its extension to

safetyarxiv-cs-lg

A Situational Speech Synthesizer for Yoruba: System Design, Phonological Rule Architecture, and Orthographic Extensions for Contour

arXiv:2607.18317v2 Announce Type: replace-cross Abstract: We present TTSYoruba, a rule-based concatenative diphone speech synthesizer for Yoruba, deployed at online as part of the YorubaName.com open

researcharxiv-cs-cl

A Sovereign, Open-Source Foundation Model for German and English

arXiv:2607.09424v3 Announce Type: replace-cross Abstract: We present Soofi S 30B-A3B, a sovereign, open-source Mixture-of-Experts (MoE) hybrid Mamba Transformer foundation model for German and English

A Unified Moral-Value Dataset for Instruction Tuning

arXiv:2607.21279v1 Announce Type: new Abstract: Large language models (LLMs) have developed rapidly and become valuable tools in everyday life. However, how to align LLMs to a particular set of human

safetyarxiv-cs-cl

Achieving Text-based Person Retrieval with Any Granularity

model-releasesarxiv-cs-cv

arXiv:2607.21057v1 Announce Type: new Abstract: Text-based person retrieval faces a critical but under-explored challenge: the inherent uncertainty of query granularity in real-world scenarios. This p

ADABORD: a novel AdaBoost approach for ordinal classification

model-releasesarxiv-cs-lg

arXiv:2607.21003v1 Announce Type: new Abstract: Ordinal Classification (OC) deals with classification tasks where the classes follow a natural order. Despite the progress in OC, many existing approach

Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion

arXiv:2607.20742v1 Announce Type: new Abstract: Multimodal learning is a robust approach to improve predictive performance in applications such as medical prognosis. However, the clinical applicabilit

safetyarxiv-cs-lg

Local Ai

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts

arXiv:2607.20519v1 Announce Type: new Abstract: Looped Transformers increase test-time computation by repeatedly applying a shared recurrent block. Learned halting objectives in looped Transformers ty

local-aiarxiv-cs-lg

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs

arXiv:2607.21291v1 Announce Type: new Abstract: Large language models (LLMs) achieve strong generation and reasoning performance, but the Transformer architecture incurs high inference cost. Existing

safetyarxiv-cs-cl

Adaptive Identity Anchoring: Closed-Loop Keyframe Placement for Synthetic Paired Supervision in Video Face Swapping

arXiv:2607.21434v1 Announce Type: cross Abstract: Video face swapping has no natural paired supervision: no real footage exists of one person's face performing another person's video. The strongest cu

Adaptive Multi-Horizon Reinforcement Learning

arXiv:2607.20656v1 Announce Type: cross Abstract: Effective decision-making in complex and changing environments requires balancing short-term and long-term consequences. In reinforcement learning (RL

Agent-Guided Relational Concept Discovery: Toward Interpretable Surgical Margin Assessment

arXiv:2607.21437v1 Announce Type: new Abstract: Deep learning models can effectively use Rapid Evaporative Ionization Mass Spectrometry (REIMS) data for surgical margin assessment. However, their clin

agentsarxiv-cs-ai

Agentic coding without the cloud: evaluating open-weight large language models on longitudinal data preparation tasks

arXiv:2607.21482v1 Announce Type: new Abstract: Large language models (LLMs) and agents are now widely used tools in code development, with data typically sent to third-party cloud-based models. Their

// Agentic Context Management // Great read for the weekend. (bookmark it) Production agents fail less on reasoning and more on what sits in…

// Agentic Context Management // Great read for the weekend. (bookmark it) Production agents fail less on reasoning and more on what sits in their context. Conversation history, big prompts, huge tool

agentsdair-ai--x

Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

arXiv:2607.21503v1 Announce Type: new Abstract: Production AI agents' failures are less often due to an inability to reason well and more often because they cannot manage what is in their reasoning co

agentsarxiv-cs-ai

Agentic Designer: Progressive Multi-Agent Collaboration for Structure-Aware Interior Layout Generation

model-releasesarxiv-cs-cv

arXiv:2607.20866v1 Announce Type: new Abstract: Generating realistic interior furniture layouts that strictly adhere to architectural constraints (e.g., walls, doors, and windows) remains a fundamenta

Agree on the Model, Verify the Inference: GKR Protocols for HND-Based Transformer Inference

arXiv:2607.21162v1 Announce Type: new Abstract: Outsourced Transformer inference exposes clients to model substitution and incomplete execution, while direct replay removes the computational benefit o

researcharxiv-cs-lg

AI Assistants Overassist

arXiv:2607.21306v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as tutors and thought partners, helping users reason through problems. While guidance from AI assis

Industry

AI chip startup Etched more than doubles valuation to 10.3B in new 300M round

Etched Inc., a startup with a chip optimized for artificial intelligence inference, today announced that it has raised 300 million in funding. The Series C round was led by Sequoia. SK Hynix Inc., the

industrysiliconangle

AI-Driven Multi-Hop Relay Selection for Smart Urban NR-V2X Networks via Learning-to-Optimize Graph Neural Networks

arXiv:2607.20554v1 Announce Type: new Abstract: Reliable and low-latency NR-V2X communications are essential for smart mobility in dense urban environments. However, limited Road-Side Unit (RSU) densi

AI-Driven Surrogate Models for Predicting Electrode-Scale Discharge Behavior in Lithium-Ion Batteries

arXiv:2607.20577v1 Announce Type: new Abstract: Physics-based simulations are essential for understanding the electrode-scale discharge behavior of lithium-ion batteries (LIBs) but suffer from prohibi

researcharxiv-cs-lg

Tools

AI Engineer Paris is back! After an incredible first edition, we’re excited to announce AI Engineer Paris 2026, this time hosted by our frie…

AI Engineer Paris is back! After an incredible first edition, we’re excited to announce AI Engineer Paris 2026, this time hosted by our friends at @MistralAI. 🎤 CFP is open. Submit your talk by July 3

toolsswyx--x

AINTMA: Agentic AI Architecture for Autonomous Test Management with Generative Intelligence, Secure Cloud Communication and Adaptive Quality Analytics

arXiv:2607.20452v1 Announce Type: new Abstract: Modern software quality assurance demands intelligent, autonomous systems capable of adaptive decision-making across distributed cloud environments. Thi

agentsarxiv-cs-ai

AISE-Bench: A Full-Cycle Curated Benchmark for Information Seeking on Academic Knowledge Graphs

arXiv:2607.20498v1 Announce Type: new Abstract: Large language models (LLMs) augmented with tools are emerging as autonomous agents capable of using Web engine, APIs, and code to solve complex, long-h

Algorithmic Approaches to Sequential Decision-Making and Social Epistemology

arXiv:2607.20636v1 Announce Type: cross Abstract: As humans, we face many decisions that require us to choose between sticking to something and giving up. This thesis uses algorithmic tools to derive

applicationsarxiv-cs-lg

Am I supposed to interpret that it's better than Fable 5 from the benchmarks? Or it's ~close but cheaper?

model-releasesjerry-liu--x

Am I supposed to interpret that it's better than Fable 5 from the benchmarks? Or it's ~close but cheaper? Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the front

Hardware

AMD takes on Nvidia, US takes on Chinese AI models and AI spending still spooks investors

Maybe Nvidia ultimately won’t win the entire AI enchilada, even as it reminded everyone this week that it offers everything you need to build AI factories. This week, Advanced Micro Devices also annou

hardwaresiliconangle

Local Ai

AMD targets AI PCs to curb agentic AI costs as enterprises rethink cloud token economics

As AI moves beyond chatbots toward autonomous agents, attention is shifting enterprise AI PCs as a new layer of AI infrastructure. That transition is driving demand for hardware and software designed

local-aisiliconangle

AMD targets outcome-driven enterprise AI infrastructure as token economics reshape deployments

Enterprise AI is entering a new phase as organizations shift their focus from experimentation to production deployments that deliver measurable business outcomes. That transition is bringing AI token

applicationssiliconangle

An Analytically Trained Variational Surrogate for Quantum Phase Estimation on NISQ Hardware

model-releasesarxiv-cs-lg

arXiv:2607.20943v1 Announce Type: cross Abstract: Quantum Phase Estimation (QPE) is a foundational algorithm for molecular ground-state energy estimation, but its deep circuit requirements make direct

An Evaluation Framework for Structured Audio Captions Validated by Controlled Perturbations

arXiv:2607.21424v1 Announce Type: new Abstract: Recent advancements in automated audio captioning (AAC) have shifted from monolithic sentence generation toward structured formats that explicitly disen

researcharxiv-cs-cl