Jackson Kernion
Jackson Kernion is a philosopher of mind who works on Claude fine-tuning at Anthropic. As a Berkeley graduate student instructor from 2013, he built teaching tools such as deductivelogic.org, and in September 2016 he asked BuzzFeed News to investigate John Searle's behavior around students. He received his UC Berkeley PhD in January 2020 and taught Minds and Machines at MIT in spring 2020. At Anthropic, which he joined in 2021, he co-authored A General Language Assistant as a Laboratory for Alignment, the 2022 paper on training a helpful and harmless assistant with reinforcement learning from human feedback, and the 2022 Constitutional AI paper. In September 2026, he explained publicly that training on math, code and explanations aimed at other AI models had made Claude's writing overly dense for human readers.
Timeline
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2013–2018
Graduate instructor at Berkeley
From 2013 to 2018, he serves as a graduate student instructor (GSI) in philosophy courses such as John Campbell's The Nature of Mind and Barry Stroud's Theory of Knowledge. He builds a website that recommends stable GSI course assignments for Berkeley's graduate students, and he builds deductivelogic.org with Ned Hall for Harvard's introductory logic course.
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2016–2017
Whistleblowing on John Searle
In September 2016, as a graduate student in Berkeley's philosophy department, he emails BuzzFeed News to request an independent investigation into John Searle's behavior around students. BuzzFeed News publishes its first article on the case in March 2017.
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2018–2020
NYU and a Berkeley PhD
He leaves to visit NYU for a year in 2018 and serves as a GSI in Tim Maudlin's History of Modern Philosophy there in spring 2019. He receives his UC Berkeley philosophy PhD in January 2020; his dissertation argues for a modest form of conceptual functionalism that reconciles dualist and physicalist intuitions about experience.
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2020
Minds and Machines at MIT
He joins MIT's Department of Linguistics and Philosophy as a postdoctoral associate for the spring 2020 term. There he teaches Minds and Machines, an introduction to the central questions in philosophy of mind.
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2021
Joining Anthropic's human feedback team
He joins Anthropic, where he works on evals, model training, data collection and interface design for its human feedback program. Just after he arrives, his team publishes A General Language Assistant as a Laboratory for Alignment in December 2021; the paper finds that ranked preference modeling performs much better than imitation learning.
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April–July 2022
RLHF and model self-knowledge
In April 2022, he co-authors Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback, which fine-tunes language models with preference modeling and RLHF. In July 2022, he co-authors Language Models (Mostly) Know What They Know, which tests whether models can evaluate their own claims and predict which questions they can answer correctly.
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August–December 2022
Red teaming and Constitutional AI
In August 2022, he co-authors Red Teaming Language Models to Reduce Harms, which releases a dataset of 38,961 red team attacks. In December 2022, he co-authors Constitutional AI: Harmlessness from AI Feedback, which trains a harmless assistant through self-improvement guided by a list of rules or principles.
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As of October 2026
Claude fine-tuning at Anthropic
He works on Claude fine-tuning at Anthropic. In September 2026, he explains that training on math, code and technical explanations aimed at other AI models has pushed Claude's writing toward what human readers experience as overly dense info dumps, and he says Opus 5.5 finds a better balance.
Sources and credits
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- Teaching — Jackson Kernion
- Tools — Jackson Kernion
- I Blew The Whistle On John Searle — Jackson Kernion
- Research — Jackson Kernion
- Jackson Kernion – MIT Philosophy
- Home — Jackson Kernion
- [2112.00861] A General Language Assistant as a Laboratory for Alignment
- [2204.05862] Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
- [2207.05221] Language Models (Mostly) Know What They Know
- [2209.07858] Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
- [2212.08073] Constitutional AI: Harmlessness from AI Feedback
- Anthropic engineer explains why Claude's writing got worse although the model got smarter
