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Dario Amodei

Co-Founder & CEO, Anthropic | Former VP of Research, OpenAI

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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dario Amodei. Every entry undergoes editorial source verification.

RESEARCH Checked Sep 23, 2026

Scaling Laws for Neural Language Models

Discovered empirical power-law relationships between transformer performance (cross-entropy loss) and model parameter count, dataset size, and compute budget spanning over six orders of magnitude, providing the blueprint for modern frontier foundation model investment.

Model & Execution Context:Autoregressive language models scaled from 10^3 to 10^9 non-embedding parameters across WebText.

Scope & Limitations

Scaling power laws hold primarily for pretraining loss; downstream task sample efficiency and multi-step reasoning require structured inference-time compute scaling.

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RESEARCH Checked Sep 23, 2026

Constitutional AI: Harmlessness from AI Feedback (RLAIF)

Introduced the Constitutional AI paradigm enabling models to critique, revise, and align their own behavioral outputs according to written principles without human-labeled toxicity feedback. Established the foundational technique powering Claude's red-teaming resilience.

Model & Execution Context:Frontier autoregressive transformer checkpoints trained via self-critique, Chain of Thought, and Reinforcement Learning from AI Feedback (RLAIF).

Scope & Limitations

Constitution design must be continuously audited for latent political biases, conflicting clauses, and nuanced real-world legal edge cases.

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