All entries

Medix: Out-of-Distribution Detection from Unlabeled Wild Data via Robust Gradient Statistics

arXiv:2510.06505v2 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) detection plays a crucial role in ensuring the robustness of machine learning systems deployed in real-world applica

applicationsarxiv-cs-ai

Model Releases

Meet the 33 cybersecurity startups joining the Gemini Startup Forum

DGX agent

Startups are at the forefront of tackling some of the world’s most complex challenges, especially in cybersecurity, where new ideas and adaptability are always needed. These companies are embracing AI

model-releasesgoogle-cloud-ai

8 Jul 2026

MemDefrag: Latent Memory Defragmentation for Large Language Models

arXiv:2607.05969v1 Announce Type: new Abstract: Latent memory, which stores past knowledge fragments as per-layer hidden states, has emerged as a promising paradigm (e.g., MemoryLLM and M+) for long-t

researcharxiv-cs-cl

Safety

// Memory becomes an action space // Great paper on long-term memory for agents. (bookmark it) In short, it's discusses the use of a learned…

// Memory becomes an action space // Great paper on long-term memory for agents. (bookmark it) In short, it's discusses the use of a learned policy for using memory at the right granularity. Most memo

safetydair-ai--x

Memory in the Loop: In-Process Retrieval as ExtendedWorking Memory for Language Agents

arXiv:2607.05690v1 Announce Type: new Abstract: Language agents run a loop - observe, reason, act - but the memory they reason over sits outside it: a store queried at most once per turn. We study the

Industry

Meta announces its first data center in Canada, a 1GW facility in Alberta that will cost the company about $9B and take two to three years to construct (Jonathan Vanian/CNBC)

Jonathan Vanian / CNBC: Meta announces its first data center in Canada, a 1GW facility in Alberta that will cost the company about $9B and take two to three years to construct — Meta's AI expansion is

industrytechmeme

Meta launches image generation model with coding, search capabilities

model-releasessiliconangle

Meta Platforms Inc. today debuted an image generation model that can write code and search the web. Muse Image is the second algorithm released to date by Meta Superintelligence Labs, the company’s ar

Industry

Miami-based City Labs achieves a first for commercial nuclear power in space

Miami-based City Labs launched BOHR (Betavoltaic Orbital High-Reliability), the world's first commercial nuclear-powered satellite, aboard SpaceX Transporter-17 on July 7, 2026. The mission demonstrat

industryars-technica

Mistral launches Robostral Navigate, a hardware-agnostic robotics navigation model trained via simulation that uses a single camera and basic language prompts (Benoit Berthelot/Bloomberg)

Benoit Berthelot / Bloomberg: Mistral launches Robostral Navigate, a hardware-agnostic robotics navigation model trained via simulation that uses a single camera and basic language prompts — Mistral A

model-releasestechmeme

Mitigating Domain Shift in Conditioned Floor Plan Generation: Synthetic Pre-training for Data-Efficient Adaptation

arXiv:2607.06483v1 Announce Type: new Abstract: Robustness to domain shift is a key requirement for floor plan generative models to be applicable beyond the single dataset they were trained on, as flo

applicationsarxiv-cs-cv

Mitigating Errors in LLM-Generated Web API Invocations via Retrieval-Augmented Generation and Constrained Decoding

arXiv:2607.05936v1 Announce Type: cross Abstract: Integration of web APIs is a cornerstone of modern software systems, yet writing correct web API invocation code remains challenging due to complex an

applicationsarxiv-cs-lg

Mitigating Factual Hallucination in Large Reasoning Models via Mixed-Mode Advantage Regularization

arXiv:2607.05861v1 Announce Type: new Abstract: Large reasoning models (LRMs) improve language model capabilities by generating explicit thinking traces before final answers. In factuality-oriented qu

researcharxiv-cs-cl

Local Ai

MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning

arXiv:2409.06067v3 Announce Type: replace Abstract: Previous studies on federated learning (FL) often encounter performance degradation due to data heterogeneity among different clients. In light of t

local-aiarxiv-cs-ai

MobileWan: Closing the Quality Gap for Mobile Video Diffusion

model-releasesarxiv-cs-cv

arXiv:2607.06173v1 Announce Type: new Abstract: Recent advances in video diffusion have been driven by scaling transformer-based architectures to billions of parameters, substantially improving visual

Modality Relevance is not Modality Utility: Post-hoc Selective Modality Escalation for Cost-Aware Multimodal RAG

arXiv:2607.05438v1 Announce Type: cross Abstract: Multimodal retrieval-augmented generation (RAG) grounds a generator in evidence drawn from heterogeneous modalities -- text, tables, and images. The d

researcharxiv-cs-ai

“Model orchestration is in many ways the natural outgrowth of agentic engineering” Huge thanks to @AndrewYNg and @DeepLearningAI for the dee…

“Model orchestration is in many ways the natural outgrowth of agentic engineering” Huge thanks to @AndrewYNg and @DeepLearningAI for the deep dive into Sakana AI’s Fugu and Fugu-Ultra. The article hig

agentsdavid-ha--x

Local Ai

Model page: https://ollama.com/library/glm-5.2

GLM-5.2 is a language model available through Ollama's model library, likely representing an updated version of the GLM (General Language Model) series with improvements in capabilities or performance

local-aiollama--x

Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems

arXiv:2607.06094v1 Announce Type: new Abstract: Faults on a cyber-physical system (CPS) are too rare and unrepresentative to characterise, or even to select a model on, so detection must instead model

researcharxiv-cs-lg

MonoIR-RS: Infrared Remote Sensing Vision-Language Learning with CLIP and VLM Adaptation

model-releasesarxiv-cs-cv

arXiv:2607.06552v1 Announce Type: new Abstract: Infrared remote-sensing imagery captures intensity structure, object-background contrast, and illumination-invariant cues often invisible in RGB imagery

More Convincing, Not More Correct: Self-Play Reward Hacking of Reference-Free LLM Judges

model-releasesarxiv-cs-lg

arXiv:2607.05904v1 Announce Type: new Abstract: Training a language model against its own reference-free judgments (the premise of self-rewarding, self-play, and LLM-as-a-judge pipelines) assumes a mo

More info about speculative decoding with llama.cpp: https://github.com/ggml-org/llama.cpp/blob/master/docs/speculative.md

model-releasesgeorgi-gerganov--x

Speculative decoding is a technique implemented in llama.cpp that speeds up inference by using a smaller, faster model to predict multiple tokens ahead, which a larger model then verifies in parallel,

MorphGS: Morphology-Adaptive Articulated 3D Motion Transfer from Videos

arXiv:2601.02716v3 Announce Type: replace Abstract: Transferring articulated motion from monocular videos to rigged 3D characters is challenging due to pose ambiguity in 2D observations and morphologi

applicationsarxiv-cs-cv

most agent labs are shy about acknowledging chinese model use because they need to sell to gov/defense cog team did the hard part to product…

most agent labs are shy about acknowledging chinese model use because they need to sell to gov/defense cog team did the hard part to productionize: 1. build a multilingual propaganda & censorship eval

agentsswyx--x

Most LLM Conformity Needs No Speaker: Measuring the Speaker-Free Floor in Peer-Pressure Benchmarks

arXiv:2607.05545v1 Announce Type: cross Abstract: LLM conformity is often used to describe cases where a model changes a correct answer toward a peer or group response. We show that most of this appar

researcharxiv-cs-ai

MoWorld: A Flash World Model

arXiv:2607.06216v1 Announce Type: new Abstract: The future of World Models depends not only on scaling model capability, but also on scaling practicality and inference efficiency. High-frame-rate infe

agentsarxiv-cs-cv

MP-MPPI: A Motion Primitive Guided Sampling-Based Optimizer for Model Predictive Control

arXiv:2607.06123v1 Announce Type: new Abstract: This paper proposes a novel method that extends the Model Predictive Path Integral (MPPI) method with motion primitives for additional structured sampli

researcharxiv-cs-ro

MSA-DCNN: A Data-Efficient Multi-Scale Deformable CNN for Medical Image Classification

arXiv:2607.06083v1 Announce Type: new Abstract: Existing deep learning methods perform well in medical image classification but struggle with multi-scale morphology and limited annotations due to fixe

researcharxiv-cs-cv

Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms

arXiv:2607.06489v1 Announce Type: new Abstract: The dairy industry in Ireland has a large potential for the integration of renewable energy and the reduction of carbon emissions. However, researchers

agentsarxiv-cs-ai

Multi-Channel Spread-Spectrum Code Watermarking

model-releasesarxiv-cs-lg

arXiv:2607.06009v1 Announce Type: cross Abstract: Attributing code to the large language model that produced it is essential for provenance, licensing, and misuse accountability, yet no deployed water

Multi-Task Instruction Tuning via Data Scheduling for Low-Resource Arabic SpeechLLMs

arXiv:2601.12494v3 Announce Type: replace-cross Abstract: Audio large language models (LLMs) enable unified speech understanding and generation, but adapting them to linguistically complex and dialect

Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models

model-releasesarxiv-cs-cv

arXiv:2607.05533v1 Announce Type: new Abstract: Computational pathology foundation models (PFMs) have advanced whole-slide image analysis. However, their size and inference cost hinder local deploymen

Safety

Multimodal Analytics of Cybersecurity Crisis Preparation Exercises: What Predicts Success?

arXiv:2603.28553v2 Announce Type: replace-cross Abstract: Instructional alignment, the match between intended cognition and enacted activity, is central to effective instruction but hard to operationa

safetyarxiv-cs-lg

Multimodal Molecular Representation Learning with Graph Neural Networks, Deep & Cross Networks, and SMILES Embeddings

model-releasesarxiv-cs-lg

arXiv:2607.05736v1 Announce Type: new Abstract: Molecular property prediction often relies on isolated data modalities, where continuous 3D graph neural networks (GNNs) struggle to efficiently capture

My big takeaway is that both Sol & Fable represent jumps over previous models and have opened a large gap with the next-best AIs. People wil…

applicationsethan-mollick--x

My big takeaway is that both Sol & Fable represent jumps over previous models and have opened a large gap with the next-best AIs. People will have preferences for one or the other, but if you doing an

My team talks directly to my AI workforce. They can skip me entirely. It's the first time working with AI agents actually feels team-orien…

model-releasesallie-k--miller--x

My team talks directly to *my* AI workforce. They can skip me entirely. It's the first time working with AI agents actually feels team-oriented and collaborative (and not just one person becoming more

NAMD: Virtual Follow-up Computed Tomography Synthesis via Nodule-Aligned Multimodal Diffusion Models for Early Lung Cancer Diagnosis

arXiv:2603.15932v2 Announce Type: replace Abstract: Lung cancer remains the leading cause of cancer-related mortality worldwide, with survival outcomes critically dependent on early and accurate detec

researcharxiv-cs-cv

Narrative-Centered Emotional Reflection: An Early Prototype for AI-Supported Emotional Self-Reflection

arXiv:2504.20342v2 Announce Type: replace-cross Abstract: Reflexion is an AI-powered prototype designed to explore structured emotional self-reflection. By integrating emotion detection, layered refle

agentsarxiv-cs-ai

Narrative World Model: Narratology-Grounded Writer Memory for Long-Form Fiction

arXiv:2607.05577v1 Announce Type: new Abstract: Long-form fiction writers need memory that answers multi-hop questions about evolving story state: who knows a secret and when they learned it, whether

Tools

Native-speed vLLM transformers modeling backend

This entry covers the integration of vLLM, a high-performance inference engine, with Hugging Face's transformers library to enable faster language model inference. The native-speed backend allows user

toolshugging-face

NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task

model-releasesarxiv-cs-cl

arXiv:2607.05623v1 Announce Type: new Abstract: We re-implement the NAVER LABS IWSLT 2025 instruction-following pipeline for the IWSLT 2026 Shared Task (constrained condition, short audio track), adap

Industry

Navigating a Synapse Migration to Databricks

This guide provides strategies and best practices for migrating data analytics workloads from Azure Synapse to the Databricks platform, covering technical considerations and transition planning. It li

industrydatabricks

NegROI: Click-Centric Uncertainty-Guided Refinement with Scene-Conditioned Negative Prompts for Robust Interactive 3D Segmentation

arXiv:2607.05955v1 Announce Type: cross Abstract: Interactive 3D segmentation aims to extract object masks in point clouds with minimal user clicks. Despite recent progress, most existing approaches s

Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding

model-releasesarxiv-cs-cl

arXiv:2607.05722v1 Announce Type: new Abstract: We introduce Nemotron-Labs-Diffusion, a tri-mode language model (LM) that unifies AR, diffusion, and self-speculation decoding within a single architect

Nested Episodic State Topology (NEST): A Graph-Theoretic Architecture of Cognitive States

arXiv:2607.06055v1 Announce Type: cross Abstract: We present NEST (Nested Episodic State Topology), a foundational graph-theoretic representational ontology for modeling cognition as structured state

researcharxiv-cs-cl

Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control

arXiv:2607.06535v1 Announce Type: new Abstract: A learning-enabled disturbance-rejection framework based on a Neural Extended State Observer (Neural-ESO) is presented in this letter. Unlike existing l

researcharxiv-cs-ro

New in Claude Code: /checkup Run /checkup to: 1. Clean up unused skills/MCPs/plugins and save context 2. Dedup your local CLAUDE.md against …

model-releasesboris-cherny--x

New in Claude Code: /checkup Run /checkup to: 1. Clean up unused skills/MCPs/plugins and save context 2. Dedup your local CLAUDE.md against the checked in CLAUDE.md 3. Break up root CLAUDE.md into nes

Tools

New test data pipeline for Pinecone: CC News dataset, chunked, embedded with BAAI/bge-large-en-v1.5 (1024-dim), landed as Parquet. Past a fe…

New test data pipeline for Pinecone: CC News dataset, chunked, embedded with BAAI/bge-large-en-v1.5 (1024-dim), landed as Parquet. Past a few million vectors, embedding inline bottlenecks the pipeline

toolspinecone--x

New this week 🚀 Replit Community Profiles — Proof of Work for vibe coders. Your profile, your flex. Get an activity graph of your agent usa…

New this week 🚀 Replit Community Profiles — Proof of Work for vibe coders. Your profile, your flex. Get an activity graph of your agent usage and checkpoints, plus a Replit Power Ranking for pro users

agentsreplit--x