Matthew Berman discusses Anthropic’s account of using AI in software development and researchAI-assisted scientific discovery uses AI to support hypothesis generation, experiment design, analysis, simulation, literature work, and interpretation while researchers retain responsibility., distinguishing current human-directed work from hypothetical fully autonomous recursive improvementRecursive self-improvement is the proposed process in which an AI system helps improve its own capabilities, then uses those improvements to support further advances..
He considers research benchmarks, code output and the challenge of maintaining human understanding as AI-generated work grows. He presents his own interpretations and productivity claims as opinions, not established measurements.
He outlines three scenarios, from stalled capabilities to automated research, and criticizes Anthropic’s position on a coordinated slowdown as potentially self-serving.
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