Theo Browne distinguishes a model's best responses from the reliability of its typical work. His central argument is that even modest failure rates compound across long tasks, so raising the quality floor matters more than occasionally producing an exceptional answer.
Theo Browne contrasts narrowly prescribed coding tickets with an agent taking a bug report through diagnosis, implementation, testing and a pull request. He treats reduced supervision and broader task scope as useful measures of progress, rather than counting lines of generated code.
Theo Browne explains that longer runs also reveal weaknesses in prompts, tools and codebases. He advocates retaining traces and improving context and instrumentation so autonomous work can produce reusable lessons even when its immediate output is imperfect.
Theo Browne presents limited personal run-duration logs and an illustrative compound-probability calculation. These observations motivate his reliability argument but are not a controlled benchmark, proof of exponential progress or a guarantee that an agent will complete any requested task.
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