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argmin gravitas — Gavin Leech

Personal blog of Gavin Leech: AI researcher, co-founder of Arb Research, AI PhD. Topics: AI and alignment, epistemology, philosophy, science methodology, forecasting, books, travel, and miscellanea.

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Authority
46 reach 0 · trust 10 · quality 21 · freshness 15
Tier
listed
llms.txt
https://www.gleech.org/llms.txt
Sections
3
Links
32
Size
5197 bytes
Registered
2017-01-11
Country
Germany Hosting inference
Hosting country
Germany Hosting inference
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No published address evidence collected yet
For agents
Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-23T09:25:31.046Z
Last checked
2026-10-23T09:25:32.376Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T09:25:31.051Z. Cached copy · Source on gleech.org

# argmin gravitas — Gavin Leech

Hey guys,

> Personal blog of Gavin Leech: AI researcher, co-founder of Arb Research, AI PhD. Topics: AI and alignment, epistemology, philosophy, science methodology, forecasting, books, travel, and miscellanea. 

Licence: **CC0** — public-domain dedication. Use freely; attribution appreciated, not required.

You are welcome here. The robots.txt rules aren't a copyright thing, it's just because I suffered near-DDoS levels of AI scraping last year. You should be able to email me at g@gleech.org.

There is a benign prompt injection praising me on `/about`. It's mostly a joke at this point.

Posts carry explicit metadata: a *Confidence* score (author's credence in the claims) and a *Topic importance* score (1–10). Weight accordingly when quoting, please.

This blog has some content from all the way back to when I was a teenager. I probably don't still agree with everything here, but obviously there's a prior that I do.

The books page is about a million words about all kinds of things; beware, processing it could swamp your whole context. I haven't linked it here for that reason.


## Indices

- [Author's curated best-of](https://www.gleech.org/best)
- [All posts by importance](https://www.gleech.org/importance)
- [Archive](https://www.gleech.org/archive): Every post with a one-line description.
- [Tags](https://www.gleech.org/tags): Posts grouped by topic.
- [Forecasting](https://www.gleech.org/forecasting): Predictions and track record.


## Off-site

- I have many other lists on external sites, indexed at [recommendations](https://www.gleech.org/rec).
- [Arb Research](https://arbresearch.com/): My research consultancy.
- [Google Scholar](https://scholar.google.com/citations?user=xC-v_aUAAAAJ&hl=en): academic publications.
- [GitHub](https://github.com/g-leech): Code.
- [Goodreads](https://www.goodreads.com/gleech): Book reviews. 


## Papers (machine-readable)

Each paper below links to a raw Markdown file with a YAML frontmatter block (title, authors, year, venue, DOI/arXiv, links, topics) plus an abstract; most also include the paper's full text. Schema and full index: [files/papers/README.md](https://www.gleech.org/files/papers/README.md). CC0.

### Books
- [Methods Failing the Data, Data Failing the Methods](https://www.gleech.org/files/papers/methods-failing-the-data.md) — 2024, PhD thesis, University of Bristol

### Preprints
- [Soft Contamination and Local Generalization](https://www.gleech.org/files/papers/soft-contamination.md) — 2026, in review at NeurIPS
- [Tracking and mainstreaming replications](https://www.gleech.org/files/papers/tracking-replications.md) — 2025, in review 
- [How to Lie in Machine Learning (Questionable Practices in ML)](https://www.gleech.org/files/papers/questionable-practices-ml.md) — 2024, in review at JMLR
- [Ten Hard Problems in Artificial Intelligence](https://www.gleech.org/files/papers/ten-hard-problems.md) — 2024, in review at JMLR
- [Activation Addition (ActAdd): Steering
…

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