Incredible www.nytimes.com/2026/05/19/b...
Will Oremus
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Articles & links
A glut of AI-written fiction is drowning out human authors, new research shows. www.nytimes.com/2026/07/28/b...
the thing that's being criticized here is literally a call for regulation and restraint darioamodei.com/post/we-must...
For anyone interested in a less juicy (zero burps) but more evidence-based assessment of Pangram's workings and accuracy, I highly recommend this @nature.com piece by @miryamnaddaf.bsky.social & @richvn.bsky.social: www.nature.com/articles/d41...
- NeurIPS rejected 18% of submissions to one of its tracks in June after screening them with the AI detector Pangram.
- Pangram's technical paper reports a 0.0041% false-positive rate on English texts, with similar rates across more than 100 languages.
- But Pangram still labels heavily AI-edited human student essays as fully human 41% of the time, per its own tests.
extremely funny that this viral post arguing that AI is actually really interpretable might be the least interpretable thing i’ve attempted to read in years already-clean.goodfire.com
People have real qualms with AI detectors, and so do I, but the evidence is mounting that Pangram in particular very rarely gets it wrong (especially on longer chunks of text, but increasingly even on short ones). @brianx.bsky.social tested it and it didn't miss: www.nytimes.c…
I reposted this, but tacking itonto this thread as well bc I think it's useful context. Margaret was also a co-author of the Stochastic Parrots paper and recently offered some thoughts on which parts of the analogy hold up (and which have been widely misunderstood): medium.com…
- Mitchell's essay argues the 'stochastic parrot' label applies to large language models, not to AI systems in general.
- The 2021 paper, co-authored with Bender, Gebru, and McMillan-Major, was always framed around language models specifically.
- She retains the phrase as a tool against what the piece calls 'anthropomorphic traps' where people reflexively humanize AI.
I kept reading this article excitedly waiting for it to deliver the goods on why we can't trust Pangram and it turned out to be mostly that the founder seemed socially awkward? www.wired.com/story/pangra...
Weird, this in-depth profile of Pangram doesn't focus at all on its founder's suspicious burping and food-microwaving habits. Instead there's just a bunch of stuff about how they built it, how it works, whether it works and why it matters https://t.co/xYfCckdjqe
Weird, this in-depth profile of Pangram doesn't focus at all on its founder's suspicious burping and food-microwaving habits. Instead there's just a bunch of stuff about how they built it, how it works, whether it works and why it matters www.bloomberg.com/news/feature...
I set out to understand why AIs love negative parallelism. The answer wasn't just surprising—it was illuminating. www.theatlantic.com/technology/2...
- The Atlantic frames the 'it's not X; it's Y' antithesis as perhaps the best-known and most mysterious tic of AI writing.
- Barron's counted the phrase in Fortune 500 filings jumping from 50 in 2023 to over 200 in 2025, per The Atlantic.
- In one Washington Post dataset the article cites, variations of 'not just X, but Y' appeared in roughly 6% of all July messages.
Recent commentary
Watching the Apple launch event and I thought this was interesting: a feature called Apple Reference Image makes an unalterable original version of each pic you take, so you can prove it was real and what it actually captured if AI fakes start circulating
A Wall Street Journal op-ed bylined by a hedge fund billionaire was flagged by Pangram as AI-written. The author admitted it, and now it seems the WSJ is standing by him. Per reports by @jeffstein.bsky.social & @maxtani.bsky.social
getting very into semicolons solely because AI doesn't use them
Out of curiosity I actually tried asking an AI's advice for my fantasy football team. Quite frankly Claude sucks at fantasy football
The idea that there's something ironic or hypocritical about using Pangram to detect AI slop hinges on the common conflation of two different technologies (a classifier and an LLM) under the banner of AI. If that's ironic, then using a social network to criticize AI is ironic too. (It isn't.)
Talking on WNYC's Brian Lehrer show rn about AI fears, Anthropic/OpenAI's calls for slowing down, and Trump/Nvidia's counter-calls for putting pedal to metal
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