AI & Language Models
What language models can and cannot measure — benchmarks, meaning, bias, and using LLMs as instruments on real data.
10 pieces
BlogAI’s Split-Screen Politics
Left-leaning channels cast AI as a classroom, a risk, and a governance problem; right-leaning channels cast it as a business engine, a productivity tool, and a national race.
AppInsight Digest
AI-generated book summaries to read or listen to — across philosophy, psychology, self-help, history, and geopolitics.
TeachingNewThe Gap Is the Story — Public Opinion on AI, Re-Checked
Nine charts on global and US public opinion about artificial intelligence, verified against source data, plus a ledger of what a widely circulated research summary got wrong.
TeachingNewBeyond the Stochastic Parrot — Chomsky, LLMs, and the Nature of Meaning
An interactive essay on the stochastic-parrot debate: what Chomsky claims, how language models actually work, and what the evidence says about machine understanding.
BlogNewThe Fairness You Can't Have — COMPAS, ProPublica, and the impossibility theorem
An interactive essay on algorithmic fairness: the COMPAS recidivism controversy, why calibration and equal error rates cannot both hold when base rates differ, and what the impossibility theorem means for anyone deploying a model.
The Measure of Words
A field booklet on text as data — six data essays, two live studios, and a data shelf, from dictionary word counts to LLM measurement at scale.
BlogThe Commons Was Already Dying
23 million Stack Overflow questions show the knowledge commons peaked in 2016 and hardened long before ChatGPT arrived to finish the job.
AppAI Models & Benchmarks
A filterable, sortable comparison of frontier and open-weight models — context windows, pricing, modalities, and access.
AppLLM Prediction Arena
Can AI beat the crowd? Six LLMs make blind probability forecasts on live prediction markets — scored on calibration and skill against the market price, then pooled into an ensemble.
TeachingCounting, Discovering, Measuring — text analysis with and without LLMs
Three generations of text-as-data — dictionaries, topic models, and LLM measurement at scale — and what large language models add. A field guide for managers and analysts.