Welcome to The Sequence. If this week proved anything, it is that we have decisively crossed the threshold from AI as a conversational assistant to AI as an autonomous, persistent worker. From self-improving research loops to massive sovereign agent deployments in Asia, the infrastructure and application layers of AI are evolving at a breakneck pace. Let's start with the most fascinating glimpse into our automated future: Andrej Karpathy's Autoresearch. Karpathy has open-sourced an autonomous optimization loop where an AI agent iteratively modifies its own PyTorch training scripts. Operating with a strict five-minute compute budget per experiment, the agent generates hypotheses, edits code, runs the training, and evaluates validation loss. If the change improves performance, the agent commits the code. It is the scientific method running at machine speed'a profound paradigm shift where AI models actively improve themselves while researchers sleep. Anthropic is applying a similar...
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