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JUST IN: Portugal launches its first open-source AI model, joining Europe’s push for “tech sovereignty”

model-releasesclem-delangue--x

Portugal has launched its first open-source AI model as part of Europe's broader initiative to achieve 'tech sovereignty' and reduce dependence on non-European AI systems. This development aligns with

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Tutorials

Just published a YouTube video walking through OpenWiki. Setup and configuration, how it works, what it targets, and how to automatically ke…

DGX agent

Just published a YouTube video walking through OpenWiki. Setup and configuration, how it works, what it targets, and how to automatically keep your docs up to date. Check it out, and see the OSS GitHu

tutorialsharrison-chase--x

1 Jul 2026

Tools

Just spoke at AIE about how and why humans need to understand our code. Turns out people care about this!

Swyx spoke at AIE (likely an AI/tech event) about the importance of human understanding of AI code and systems, emphasizing that this topic resonates with audiences. The post highlights growing recogn

toolsswyx--x

Applications

Just tweeting while waiting for my Fable runs to finish.

applicationsethan-mollick--x

Ethan Mollick posted on X about multitasking while waiting for Fable (likely an AI model or software tool) to complete processing runs. The tweet reflects a casual observation about productivity durin

Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents

arXiv:2606.12634v2 Announce Type: replace-cross Abstract: Long-horizon tool-use reinforcement learning learns from outcome verification, but trajectory-level advantages are broadcast over reasoning, A

Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition

model-releasesarxiv-cs-ai

arXiv:2606.31048v1 Announce Type: cross Abstract: This paper investigates knowledge distillation from a large reasoning model (DeepSeek-R1) to a compact student model (Qwen2.5-7B). Using historical pr

Agents

Knowledge-Driven Dimension Estimation from a Single Image -3D Asset Generation Technology for Digital Twin Construction

arXiv:2606.30896v1 Announce Type: new Abstract: In the verification of in-vehicle cameras, simulation technology using virtual spaces has advanced, enabling pre-evaluation of false detections and miss

agentsarxiv-cs-cv

LabGuard: Grounding Natural-Language Laboratory Rules into Runtime Guards for Embodied Laboratory Agents

arXiv:2606.31045v1 Announce Type: new Abstract: Scientific embodied agents are increasingly capable of carrying out laboratory procedures, but executing these procedures safely in dynamic laboratory e

Labimus: A Simulation and Benchmark for Humanoid Dexterous Manipulation in Chemical Laboratory

model-releasesarxiv-cs-ro

arXiv:2606.31037v1 Announce Type: new Abstract: Laboratory automation has made remarkable progress through robotic platforms and AI-driven scientific reasoning. However, many laboratory operations (e.

Hardware

Lambda’s keynote at the ALVR workshop co-located with ACL 2026

Lambda Labs presented a keynote address at the ALVR (Augmented Language and Vision Research) workshop, which was held in conjunction with ACL 2026, a major computational linguistics conference. The pr

hardwarelambda-labs

LaMP: Learning Vision-Language-Action Policy with 3D Scene Flow as Latent Motion Prior

arXiv:2603.25399v2 Announce Type: replace Abstract: We introduce extbf{LaMP}, a dual-expert Vision-Language-Action framework that embeds dense 3D scene flow as a latent motion prior for robotic manipu

safetyarxiv-cs-cv

Language-Assisted Super-Resolution from Real-World Low-Resolution Patches

arXiv:2606.31363v1 Announce Type: new Abstract: Single image super-resolution aims to reconstruct high-resolution (HR) images from low-resolution (LR) inputs. Training SR models typically requires pai

safetyarxiv-cs-cv

Local Ai

Large Databases Need Small, Open-Weight Language Models

arXiv:2606.31808v1 Announce Type: new Abstract: Language model systems built around proprietary APIs often operate on a token-based cost model. This becomes prohibitively expensive in the context of l

local-aiarxiv-cs-ai

Industry

Last year, @elonmusk brought national attention to the paper-based federal retirement process hidden deep underground in Boyers, Pennsylvani…

Last year, @elonmusk brought national attention to the paper-based federal retirement process hidden deep underground in Boyers, Pennsylvania. The Last Day of Paper is more than a milestone, it is pro

industryelon-musk--x

Layout-Conditioned Autoregressive Text-to-Image Generation via Structured Masking

arXiv:2509.12046v2 Announce Type: replace-cross Abstract: Although autoregressive (AR) models have demonstrated remarkable success in image generation, extending these models to layout-conditioned gen

LDHP: Library-Driven Hierarchical Planning for Non-prehensile Dexterous Manipulation

arXiv:2603.13844v2 Announce Type: replace Abstract: Non-prehensile manipulation is essential for handling thin, large, or otherwise ungraspable objects in unstructured settings. Prior planning and sea

researcharxiv-cs-ro

Industry

Leaked Apple supplier docs show iPhone 18 Pro and Pro Max may use Qualcomm modems in the US and Apple's own C2 chips elsewhere, A20 Pro packaging tech, and more (Marko Zivkovic/AppleInsider)

Marko Zivkovic / AppleInsider: Leaked Apple supplier docs show iPhone 18 Pro and Pro Max may use Qualcomm modems in the US and Apple's own C2 chips elsewhere, A20 Pro packaging tech, and more — After

industrytechmeme

Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation

arXiv:2606.15837v2 Announce Type: replace Abstract: Deep neural networks (DNNs) frequently fail to generalize to out-of-distribution (OOD) medical images because of variations in scanners and acquisit

researcharxiv-cs-cv

Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models

arXiv:2410.12341v4 Announce Type: replace-cross Abstract: As AI-generated content increasingly populates the web, generative AI models are at growing risk of being trained on their own outputs, a proc

Learning Dexterous Grasping from Sparse Taxonomy Guidance

arXiv:2604.04138v2 Announce Type: replace-cross Abstract: Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then executed through coordinated multi

Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents

model-releasesarxiv-cs-ai

arXiv:2606.31270v1 Announce Type: cross Abstract: Computer-use agents, which leverage multimodal large language models (MLLMs) to operate computers and complete tasks, have attracted significant atten

Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing

arXiv:2606.31230v1 Announce Type: new Abstract: We study the task of learning the structure of a d-sparse Gaussian graphical model on n variables from a single trajectory of Glauber dynamics. Beyond a

researcharxiv-cs-lg

Tutorials

Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics

arXiv:2601.22123v4 Announce Type: replace Abstract: Simulating the long-time evolution of Hamiltonian systems is limited by the small timesteps required for stable numerical integration. To overcome t

tutorialsarxiv-cs-lg

Applications

Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing

arXiv:2606.31912v1 Announce Type: new Abstract: Learning-based control has revolutionized dynamic locomotion, yet navigating unstructured terrain remains limited by a robot's incomplete awareness of i

applicationsarxiv-cs-ro

Learning Structurally Consistent Representations for Multi-View Radar Semantic Segmentation

arXiv:2606.31609v1 Announce Type: cross Abstract: Radar sensors provide reliable perception under adverse weather and lighting conditions, but their sparse, noisy, and weakly semantic measurements mak

Learning to Deny: Action Denial in Multimodal Large Language Models

model-releasesarxiv-cs-cv

arXiv:2606.31187v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have rapidly advanced video understanding, achieving strong zero-shot and few-shot recognition across standard

Learning to Select, Not Relearn: Hard-Routed Mixtures of Reasoning LoRAs

arXiv:2606.31413v1 Announce Type: new Abstract: Composing independently trained LoRA adapters into a single large language model is useful for multi-domain adaptation, especially when the original tra

Hardware

Learning Video Dynamics with Predictive Differentiable Rendering

arXiv:2606.31050v1 Announce Type: cross Abstract: How to accurately predict a high-fidelity future world? While the visual world is inherently continuous, existing deterministic video prediction model

hardwarearxiv-cs-ai

Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection

arXiv:2606.30951v1 Announce Type: cross Abstract: Micro-ultrasound (muUS) is a new, emerging, and promising imaging modality for prostate cancer (PCa) detection, but accurate identification of suspici

LeCropFollow: Latent Space Planning for Navigation in Unstructured Crop Fields

arXiv:2606.31941v1 Announce Type: cross Abstract: Unstructured navigational features, such as irregular planting or discontinuities, remain the primary failure mode for under-canopy agricultural robot

Industry

Letter: the US says Anthropic 'agreed to proactively detect and address security risks' of Fable 5 and Mythos 5; a source says Anthropic developed a 'safeguard' (Financial Times)

Financial Times: Letter: the US says Anthropic “agreed to proactively detect and address security risks” of Fable 5 and Mythos 5; a source says Anthropic developed a “safeguard” — US government move a

industrytechmeme

LeWorld model becomes ADAPTIVE and meets MODEL-PREDICTIVE CONTROL AdaJEPA by Yann LeCun and colleagues performs actions, then checks the pre…

LeWorld model becomes ADAPTIVE and meets MODEL-PREDICTIVE CONTROL AdaJEPA by Yann LeCun and colleagues performs actions, then checks the predicted latent state versus the observed and adapts at TEST T

researchyann-lecun--x

LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCR

model-releasesarxiv-cs-cv

arXiv:2601.14251v2 Announce Type: replace Abstract: We present LightOnOCR-2-1B, a 1B-parameter end-to-end multilingual vision--language model that converts document images (e.g., PDFs) into clean, nat

Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck

arXiv:2606.31411v1 Announce Type: new Abstract: Rapid advancements in generative speech technology have compromised the reliability of voice biometrics. While current spoofing detectors excel when ass

safetyarxiv-cs-cl

Linguistic Distancing on Social Media: Indicators of Emotion Regulation Across Age Groups

arXiv:2606.30957v1 Announce Type: new Abstract: Managing our emotional responses to events is key to emotional well-being, a process referred to as emotion regulation in psychology. Previous work has

researcharxiv-cs-cl

Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detection

arXiv:2606.30675v1 Announce Type: cross Abstract: Early detection of dementia through speech analysis offers a non-invasive screening alternative, but capturing both acoustic and linguistic biomarkers

LiteMatch: Lightweight Zero-Shot Stereo Matching via Cost Volume Stabilization

arXiv:2606.31636v1 Announce Type: new Abstract: Despite rapid progress in learning-based stereo matching, high accuracy is often achieved at the cost of heavy backbones and computationally intensive 3

researcharxiv-cs-cv

LLM-as-a-judge validity in physics assessment depends more on the task than the model

model-releasesarxiv-cs-cl

arXiv:2603.14732v2 Announce Type: replace-cross Abstract: As large language models (LLMs) are increasingly considered for automated assessment and feedback, understanding when LLM marking is valid is

Agents

LLM-Driven Personalities for Decision Making in Emergency Simulations

arXiv:2606.31038v1 Announce Type: cross Abstract: For virtual humans to appear believable, they must exhibit agency and spatial awareness while interacting with their environment in ways that reflect

agentsarxiv-cs-ai

LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach

arXiv:2510.10895v2 Announce Type: replace Abstract: Medium Access Control (MAC) protocols, essential for wireless networks, are typically manually configured. While deep reinforcement learning (DRL)-b

LLM-Powered Interactive Robotic Action Synthesis from Multimodal Speech, Gestures, and Music

arXiv:2606.31158v1 Announce Type: cross Abstract: The quest for intuitive and natural human-robot interaction (HRI) remains a significant challenge in robotics. Traditional methods often rely on rigid

LLMs are stuck in a groupthink groove. This startup is trying to get them out.

model-releasesmit-tech-review

Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1 and 10.” You’re going to get 7. Almost always. Now type “Another” and you’ll

Local Ai

Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair

arXiv:2606.30963v1 Announce Type: cross Abstract: Repository-grounded automated repair is often reported as a single end-to-end capability, which hides distinct failure modes such as poor file targeti

local-aiarxiv-cs-ai

Local Ai

Local AI Summit is tomorrow at AIE World Fair Kicking off w/ a Local AI & OSS State of the Union panel at 10:45am We'll demo GLM 5.2 running…

Local AI Summit is tomorrow at AIE World Fair Kicking off w/ a Local AI & OSS State of the Union panel at 10:45am We'll demo GLM 5.2 running in the room on a DGX Station. Epic panels. See you there 🤙

local-aiswyx--x

Local Pheromone Network: Sparse Local Learning with Multi-Scale Synaptic Trails, Consolidation, and Replay

arXiv:2606.30669v1 Announce Type: cross Abstract: Backpropagation-trained dense neural networks are powerful function approximators, but they couple learning across many parameters and can overwrite p

Localized Conformal Prediction for Image Classification with Vision-Language Models

arXiv:2606.31577v1 Announce Type: new Abstract: Conformal predictions have attracted significant attention in the field of uncertainty quantification, mainly because of their strong marginal coverage

researcharxiv-cs-cv

Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones

arXiv:2606.30680v1 Announce Type: cross Abstract: Truck-drone delivery is an emerging last-mile logistics mode combining the long-haul capacity of trucks with the flexible service capability of drones

Long-term Traffic Simulation via Structured Autoregressive Modeling

arXiv:2606.31209v1 Announce Type: new Abstract: Interactive traffic simulation is a vital world model for autonomous driving. A central challenge in long-horizon simulation is modeling sustained multi