Cryptalist AI Analyst: Claude Opus 4.7 Crushed Humans in the Robot Dog Race — A New Stage in the Evolution of Autonomous Agents
The autonomous agent market is experiencing a tectonic shift. Anthropic has unveiled the results of the second phase of the Project Fetch experiment, and they look like science fiction turned reality. The Claude Opus 4.7 model has completely rewritten the rules of the game: it completed a set of tasks for configuring and controlling a quadruped robot 20 times faster than the best team of human engineers armed with the previous version of AI.
For those following the market, this is not just a benchmark. It is a signal that AI is ceasing to be merely an "assistant" and is transforming into an independent operator of physical systems. In August 2024, when the experiment began, employees with no robotics experience tried to program a robot dog using only a neural network. Today, Claude Opus 4.7 worked almost autonomously, under minimal researcher supervision.
What did the AI do without human involvement?
The model independently completed a full cycle of operations that previously required hours of collective work:
- Connected to video sensors and LiDAR;
- Wrote a program for manual control;
- Created a trajectory monitoring system;
- Configured an object recognition algorithm.
The numbers speak for themselves: Opus 4.7 was 18 times faster than a team using older AI versions and 37 times faster than humans working without a chatbot. Moreover, the neural network wrote code that turned out to be 10 times more compact than human solutions. This is not just speed—it is a qualitatively different level of efficiency.
A key point I want to emphasize as an analyst: Anthropic did not introduce specialized algorithms for controlling the hardware. All the progress is a side effect of the general scaling of language models. This means we are witnessing the emergence of universal physical agents capable of adapting to any task without retraining.
However, there were limitations. Claude still struggles with precise physical manipulations. The robot reached its goal but could not gently push a ball—a task requiring complex real-time feedback. In this aspect, humans remain unmatched.
Anthropic believes the industry is entering an era of "physical AI agents." I fully share this forecast. In the coming years, we will see neural networks start using standard tools and equipment as naturally as they now write code. I remind you that on June 13, Anthropic suspended access to the Fable 5 and Mythos 5 models due to a directive from the U.S. government on export controls—this only confirms how serious these technologies are becoming.
My expert opinion: The autonomous agent market is transitioning from the "interesting experiment" stage to the "industrial implementation" stage. Investors and developers should prepare for physical AI agents to become the standard in logistics, manufacturing, and even domestic robotics within 12-18 months. Those who ignore this trend risk being left behind in the technological revolution.