According to Anthropic's internal index, Claude led 26% of measured model R&D work in August, up from under 1% in February. How fast will internal model RSI teams accelerate new more powerful models? Researchers set the tasks and supervise execution, and Anthropic reports that this is speeding up development.
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The companies building the most powerful models cannot be left to write their own safety rules, change those rules when they become inconvenient, and decide for themselves when a system is safe enough to release.
Peter Griffin — The Business of Tech
releasing RL environments and documenting how AI is actually being used to automate AI research, with the goal of demystifying recursive self-improvement and giving researchers and policymakers a clearer picture of what frontier systems can and cannot do.
The a16z Show
Their goal is a closed loop where the system being improved is also doing the improving, across components including models, harnesses, and eventually more of the AI stack.
The a16z Show