#continual learning robotics
5 related articles
·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on Twenty Thousand GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?
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·5 min
DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on 20,000 GPUs
DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap—from chain-of-thought to embodied intelligence—under a 20,000-GPU constraint, using the TileLang compiler to break domestic substitution challenges while API cash flow backs AGI exploration.
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Evaluating General-Purpose Robot Polic…
·2 min
Evaluating General-Purpose Robot Policies: A Scientific Framework for Real-World Deployment
How do you scientifically evaluate general-purpose robot policies for real-world deployment? This article breaks down evaluation challenges, task design, generalization testing, and the sim-to-real gap.
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·3 min
WorldBench Open-Sourced: A Standardized Evaluation Toolkit for Robot World Models
WorldBench is an open-source Python toolkit for evaluating robot world models, covering prediction fidelity, long-horizon consistency, physical plausibility, and more—enabling standardized comparisons across teams and papers.
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·5 min
OSWorld 2.0 Benchmark: Top AI Agent Achieves Only 20% Completion Rate — Long-Horizon Tasks Are the Achilles' Heel
OSWorld 2.0 benchmark tests 108 long-horizon computer tasks. Claude Opus tops at only 20.6% completion, exposing critical AI weaknesses in state tracking and error self-correction.
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