One of the clearest people to follow if you care about scaling laws, training efficiency, and the systems choices that quietly shape frontier-model progress.
Researcher Profile
FeaturedJared Kaplan
Scaling laws, LLM training dynamics
Co-founder and Chief Science Officer at Anthropic
One of the clearest anchors for understanding why scaling laws became such a central planning tool for frontier-model research and training strategy.
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Known For
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01
Scaling laws for language models
02
Training dynamics at frontier scale
03
Frameworks teams use to reason about capability growth
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Scaling laws, LLM training dynamics
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Scaling Laws for Neural Language Models
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Anthropic
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A strong person to follow for how Anthropic moved from assistant training into more explicit evaluation work around model behavior, red-teaming, and chain-of-thought faithfulness.
Worth following for the evaluation side of Anthropic’s alignment program, especially where model-written tests and public-input methods become practical tooling rather than just ideas.
A good person to follow for the part of alignment work that becomes concrete measurement: model-written tests, chain-of-thought faithfulness, and behavior-shaping methods that can actually be audited.
Useful for the attack-and-evaluation side of alignment work, especially long-context jailbreak research and the measurement work that turns safety concerns into concrete tests.
A good person to follow for the evaluation-heavy side of Anthropic alignment work, especially where early assistant training later feeds into reasoning-faithfulness and model-written testing.