OpenAI Blog
A robot hand has been trained to perform complex object manipulation tasks. The system achieved dexterity comparable to human hands across multiple manipulation scenarios. This capability enables robots to handle fragile or irregularly shaped objects that previously required human intervention.
We’ve trained a human-like robot hand to manipulate physical objects with unprecedented dexterity.
Home robots already walk. 1X's new hands try to solve the part that actually matters
TLDR · 1 week ago
Amazon and University of Michigan give robots a sense of touch
Amazon Science · 1 week ago
Meta-learning for wrestling
OpenAI Blog · 8 years ago
LeRobot Community Datasets: The “ImageNet” of Robotics — When and How?
Hugging Face Blog · 1 year ago
The daily briefing
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TLDRocket
21 July 2026
The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.
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