long-reads.
In-depth pieces — 15 to 40 minutes of reading. The chronicle's pillars.
9 pieces — across all sections
Wittgenstein Knew Why AI Gets Dumber — and Why Text Provenance Doesn't Matter
AI models grow dumber when they train on their own outputs. Mathematicians already know the cure, and it's exactly what Wittgenstein said about language half a century ago.
LLM Context Window: How 10 Million Tokens Fool You
Llama 4 Scout promises to read 15,000 pages, but in practice loses the thread by page 60, a record for the gap between official claims and reality. Meta is selling context window size instead of actual comprehension, and here's what to do if you're the kind of person who feeds long texts into a chat.
AI Data Labeling Exploitation: How Underpaid Workers in Kenya and the Philippines Undermine Model Safety
Sama paid its workers $2 an hour to watch torture, while Scale AI offered half a cent per click. Savings extracted from the people who make models "safe" come back as hallucinations, bias, and holes in the filters.
Hemingway's Writing Style, as Faked by Five AI Models
Four classics, one station scene, twenty paragraphs of machine prose, and not a single real voice
Are AI Detectors Accurate? How They Get It Wrong and Who Pays
AI detectors get it wrong — and punish real people for being literate and having good style. How the detectors work, who takes the first hit, and how to fight back.
AI Data Centers in Space: The Orbital Fix for a Power Crisis Earth Can't Solve
Earth can no longer keep up with the appetites of artificial intelligence — and the most serious people in the industry are looking upward, more and more often
Gender Bias in AI: Why Language Models Speak in a Male Voice
How every language model ended up speaking in the same calm, masculine voice, and why hundreds of millions of women hear that voice today.
AI Wants Your Pension: How Larry Fink and BlackRock Plan to Spend Trillions from Your Pocket
G7 governments are drowning in debt, power grids are buckling, and data centers are consuming electricity on an industrial scale. The world's largest investment firm says the solution is taking the money from people who saved it for retirement — you. We break down how the scheme works, who profits from it, and what happens to your savings when the next bubble bursts.
The End of the Link Era
The Raw Story vs. OpenAI case, SearchGPT, and why it's not journalism losing the AI search game — it's journalism's basement