Claude Rated "Lead" for 26% of Anthropic R&D Work; None Fully Autonomous | EconoTimes

Andreessen Horowitz co-founder Ben Horowitz said four conditions for models to build improved successors remain unmet.

Anthropic's Sept. 17 report on its internal AI research and development rated Claude in the "lead" category for 26% of measured work in August and found no task fully autonomous.

The report also recorded AI involvement at Level 3 or higher in more than 90% of tasks. Those figures describe AI's role in Anthropic's own work; they do not compare AI performance with that of human researchers.

Andreessen Horowitz co-founder Ben Horowitz said a cycle of models creating improved successors would depend on four conditions: lower computing needs, faster training, stronger capabilities and continued gains in later generations. "Zero of those four have been met," he said in a podcast episode released Oct. 16.

He also cited heavier training demands and constraints on GPU supplies and electricity. For a process to count as full recursive self-improvement, a model would have to create its successor independently.

The Anthropic assessment measures models' roles in research tasks. Horowitz's four conditions describe a higher threshold: models driving a continuing cycle of independently created successors.