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Chronicles

The story behind the story

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OpenAI debuts a free web-based tool to help determine if text was written by a machine, rated as “very unlikely”, “unlikely”, “unclear”, “possible”, or “likely”

Axios Ina Fried

Context & Ripple Effects

OpenAI’s classifier arrived after GPT-3 had been framed as a meaningful advance in handling the ambiguities of human language, making attribution a more practical concern alongside generation. The tool’s later fate is central to its arc: OpenAI withdrew the classifier over its low accuracy, rather than treating its ratings as a durable detection product.

First-order effects

  • People assessing submitted text gain a free OpenAI tool that converts its judgment into five machine-authorship likelihood bands.
  • OpenAI adds a public-facing detection product alongside its text-generation technology, making the reliability of those ratings part of its own product responsibility.

Second-order effects

  • Organizations considering the ratings for screening or review lack a dependable basis for automated decisions after OpenAI shut the tool down for low accuracy.
  • The withdrawal shifts OpenAI’s detection work away from this classifier and toward the more effective provenance techniques it said it would research.

Third-order effects

  • The later report of a ChatGPT watermarking method suggests AI-text assurance may move from inferring authorship from prose toward embedding provenance at generation time, though OpenAI’s internal debate shows deployment is not automatic.

The trend: AI assurance is moving from post-hoc text classification toward provenance mechanisms built into generative systems.

Discussion

  • @antoniocasilli Casilli on x
    OpenAI launching a tool to detect ChatGPT-written text is the AI equivalent of McDonald's selling antiacid tablets. https://openai.com/...
  • @pkedrosky Paul Kedrosky on x
    This had to happen, if not for the obvious ethical reasons then at least for legal ones: OpenAI launches AI classifier for indicating AI-written text https://openai.com/...
  • @mer__edith Meredith Whittaker on x
    Translation: they created another SOTA benchmark that will be used to measure “improvements” in generative large language models like GPT based on how “undetectable” their outputs are https://twitter.com/...
  • @paulg Paul Graham on x
    Oops, bad news for any aigiarists who've already submitted stuff they didn't write... https://twitter.com/...
  • @kantrowitz Alex Kantrowitz on x
    I tried to fool this a bunch of times and failed. It's actually pretty damn good! https://twitter.com/...
  • @samfbiddle Sam Biddle on x
    OpenAI is responding to widespread concern about the technology it's put out into the world by releasing an AI text detector that is accurate 26% of the time and yields false positives 9% of the time https://openai.com/...
  • @joannastern Joanna Stern on x
    Very relieved to see my latest column is “very unlikely AI-generated.” https://twitter.com/...
  • @youngbloodjoe Joe Youngblood on x
    OpenAI is now it's own adversarial AI. Things are moving super fast. https://twitter.com/...
  • @econompic Jake on x
    Like an AI tool that can tweak AI text to make it undetectable as having been written by AI isn't going to be out within the week. https://twitter.com/...
  • @bobbrinker Bob Brinker on x
    Next we will need an AI tool that can detect whether this AI tool is able to detect whether the content was written by AI. https://twitter.com/...
  • @jamespmcleod James McLeod on x
    Let's just hope it's more trustworthy than the actual answers ChatGPT gives. https://twitter.com/...
  • @yoda Drew Olanoff on x
    fantastic trust building move. things like this could go a long way for AI adoption. https://twitter.com/...
  • @rustybrick Barry Schwartz on x
    You can now use an OpenAI tool to detect if content was written by OpenAI's ChatGPT https://twitter.com/...