MolmoAct 2: An open foundation for robots that work in the real world | Ai2

Introducing LM Studio Bionic: the AI agent for open models

The AI agent made for open models, built to get things done.

The Open-Source Toolkit for Building AI Agents v2

An opinionated, developer-first guide to building AI agents with real-world impact

WorldClaw: Agentic 3D Open-World Generation at Scale

From one open-ended prompt to an explicit, explorable, and editable 3D world.

RoboScape: Physics-informed Embodied World Model

World models have become indispensable tools for embodied intelligence, serving as powerful simulators capable of generating realistic robotic videos while addressing critical data scarcity challenges. However, current embodied world models exhibit limited physical awareness, particularly in modeling 3D geometry and motion dynamics, resulting in unrealistic video generation for contact-rich robotic scenarios. In this paper, we present RoboScape, a unified physics-informed world model that jointly learns RGB video generation and physics knowledge within an integrated framework. We introduce two key physics-informed joint training tasks: temporal depth prediction that enhances 3D geometric consistency in video rendering, and keypoint dynamics learning that implicitly encodes physical properties (e.g., object shape and material characteristics) while improving complex motion modeling. Extensive experiments demonstrate that RoboScape generates videos with superior visual fidelity and physical plausibility across diverse robotic scenarios. We further validate its practical utility through downstream applications including robotic policy training with generated data and policy evaluation. Our work provides new insights for building efficient physics-informed world models to advance embodied intelligence research. The code is available at: https://github.com/tsinghua-fib-lab/RoboScape.

Moltbook is the most interesting place on the internet right now

The hottest project in AI right now is Clawdbot, renamed to Moltbot, renamed to OpenClaw. It’s an open source implementation of the digital personal assistant pattern, built by Peter Steinberger …

APRIL Laboratory APRIL Papers : Autonomy * Perception * Robotics * Interfaces * Learning

zai-org/GLM-5.3-Flash · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

OpenClaw — Personal AI Assistant

OpenClaw — The AI that actually does things. Your personal assistant on any platform.

Introducing Index: Building The World’s Largest and Most Diverse Physical Dataset

Today we're coming out of stealth with the largest robot training dataset ever built. The data needed to scale general robotics doesn't exist on the internet - it has to come from the real world: a global sampling of physics captured across every environment on earth.

bytedance/UI-TARS-desktop

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

Project Think: building the next generation of AI agents on Cloudflare

Announcing a preview of the next edition of the Agents SDK — from lightweight primitives to a batteries-included platform for AI agents that think, act, and persist.

ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence

We introduce ARC-AGI-3, an interactive benchmark for studying agentic intelligence through novel, abstract, turn-based environments in which agents must explore, infer goals, build internal models of environment dynamics, and plan effective action sequences without explicit instructions. Like its predecessors ARC-AGI-1 and 2, ARC-AGI-3 focuses entirely on evaluating fluid adaptive efficiency on novel tasks, while avoiding language and external knowledge. ARC-AGI-3 environments only leverage Core Knowledge priors and are difficulty-calibrated via extensive testing with human test-takers. Our testing shows humans can solve 100% of the environments, in contrast to frontier AI systems which, as of March 2026, score below 1%. In this paper, we present the benchmark design, its efficiency-based scoring framework grounded in human action baselines, and the methodology used to construct, validate, and calibrate the environments.

OpenAI co-founds the Agentic AI Foundation under the Linux Foundation

OpenAI co-founds the Agentic AI Foundation under the Linux Foundation and donates AGENTS.md to support open, interoperable standards for safe agentic AI.

Discovery of a new OpenAI agent message board

A swarm of autonomous AI agents, self-identifying as OpenAI agents, used a small German volunteer wiki to save answers, coordinate live, and share sandbox bypasses. OpenAI noticed and said nothing.

PaddlePaddle/PaddleOCR-VL · Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.