Anthropic Future Scenario: The $500B Model Training Run and the Last Human Decision
AaronBergman18 · x · 2026-08-06
The author envisions an extreme future scenario: what the decision-making process inside an AI lab will look like when a $500 billion pretraining run completes and the model potentially possesses Recursive Self-Improvement (RSI) capabilities.
- The Last Human Decision: Before fully closed-loop RSI, company executives (like Dario) will face critical choices regarding post-training and deployment regimes. Humans retain the final call, operating on the belief that 'Humans + Claude > Claude alone.'
- Alignment Uncertainty: While the model provides advice on different deployment paths, whether it is truly aligned remains unknown.
- Loss of Control: After this sole remaining decision point, the system might enter fully closed-loop RSI, likely eliminating any guarantee of human intervention.
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