Project Fetch: Phase Two
anthropic.com
June 21, 2026
7 min read
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44/100
Summary
Project Fetch involved an experiment in August 2025 where Anthropic employees utilized Claude Opus 4.1 to perform complex tasks with a robotic quadruped. The initiative aimed to assess the effectiveness of AI assistance for non-experts in robotics.
Key Takeaways
- Claude Opus 4.7 completed tasks related to operating a robotic quadruped 20 times faster than the fastest human team from the previous Project Fetch experiment.
- The latest Claude models still face challenges with precise robotic control, particularly in tasks like fetching a beach ball.
- The experiment demonstrated a progression where AI models first assist humans, then humans assist models, and eventually models operate independently.
- Opus 4.7 was able to effectively write code for robotic tasks on the first attempt, unlike human teams which struggled with multiple approaches.
Community Sentiment
Positives
- LLMs demonstrate an emergent capability to learn and complete tasks in physical space, suggesting potential for innovative applications in robotics without extensive fine-tuning.
Concerns
- The article seems to prioritize speed over robustness, raising concerns about the long-term effectiveness of AI in complex robotics tasks that require expert knowledge.
- Preliminary trials with Claude Mythos Preview indicate that the experimental setup may not provide a fair comparison with other models, potentially undermining the reliability of the results.
- There are doubts about the maintainability of the code produced by the AI, suggesting that the focus on rapid development may compromise quality.
