Person

Max Spero

Co-founder of Pangram Labs, a company building tools to detect AI-generated text, and a frequent commentator on AI detection issues.

Known aliases

Spero

Current stories

productConfirmed3 publishers

France's Goncourt dropped a likely-AI novel once plagiarism reports gave it a second reason

France's Académie Goncourt dropped Thélyson Orélien's novel from its first selection, citing plagiarism and analyses that AI most likely wrote most of it. For anyone who sells AI checks, the case shows a likelihood score counting once a plagiarism record sat beside it.

Publishers:dexerto.commorningbrew.comthenextweb.com

Perspective Coverage

3 publishers

Builder: Builder 35%
Operator: Operator 48%
Investor: Investor 17%

Reality

Evidence58
Adoption: Insufficient
Hype gap+20
Incentives55
Confidence60

productOne report1 publisher

The founder of a deepfake-detection firm verifies his wife's calls with a safeword

Two detection chief executives describe their own products as probabilities rather than verdicts. That is the constraint to design around before a score is allowed to fail a student or close an account.

Publishers:gizmodo.com

Reality

Evidence55
Adoption: Insufficient
Hype gap+12
Incentives72
Confidence58

productOne report1 publisher

Substack hands its readers a button that scans your post for AI text

Fast Company reports that Pangram beats rival detectors in independent testing, without naming an error rate, and Substack, NewsGuard and an exam platform are already running it on writing whose authors never opted in.

Publishers:fastcompany.com

Reality

Evidence42
Adoption58
Hype gap+32
Incentives66
Confidence48

productOne report1 publisher

Hachette cancelled a novel after a startup's model scored it 78 percent AI

Pangram has 24 employees and a percentage that Substack now shows to readers, so publishers and prize juries are making irreversible calls on a number checked mainly in early independent tests, by a company that has since shipped a new model.

Publishers:wired.com

Reality

Evidence42
Adoption55
Hype gap+38
Incentives72
Confidence48

scienceOne report1 publisher

AI text detectors are good enough to deploy. The appeals process is what nobody has written.

Cancer-journal editors are already catching undisclosed LLM use in peer review with commercial software. The unresolved question is what happens to a flagged researcher who says no.

Publishers:nature.com

Reality

Evidence64
Adoption68
Hype gap+22
Incentives74
Confidence55