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Stack Overflow and OpenAI join forces to feed ChatGPT vetted code

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OpenAI and Stack Overflow just announced an API partnership to bridge technical knowledge with frontier LLMs. OpenAI will tap OverflowAPI to improve model performance and surface verified answers with attribution directly inside ChatGPT. In return, Stack Overflow will use OpenAI models to power its OverflowAI features, with the first integrations arriving in the first half of 2024.

Stack Overflow and OpenAI join forces to feed ChatGPT vetted code
Image: build5nines.com

Developers used to debug by scouring Stack Overflow threads. Then ChatGPT arrived, traffic cratered, and coders rarely looked back. Now, the two platforms have officially teamed up.

Stack Overflow and OpenAI announced a partnership centered on the new OverflowAPI. The deal will bring validated developer knowledge straight into ChatGPT, complete with community attribution, with the first wave of features landing in the first half of 2024.

59 million posts, meet LLMs

Under the agreement, OpenAI gets structured access to Stack Overflow’s massive library of over 59 million technical questions and answers accumulated over 15 years. OpenAI plans to use this vetted dataset to improve coding performance across its models and promises to give proper credit back to community authors within ChatGPT.

In return, Stack Overflow will tap OpenAI models to build out its own OverflowAI features, collaborating closely on internal testing to squeeze better performance out of both platforms.

However, community backlash was immediate. On X and Hacker News, long-time contributors reported trying to delete or deface their old answers in protest against their work being fed to commercial AI tools. Stack Overflow quickly slapped these users with seven-day account suspensions, warning that stripping answers disrupts community utility.

Why it matters

For everyday developers, this is a clear quality-of-life upgrade. Having verified technical answers and code snippets directly inside ChatGPT, backed by attribution links, cuts down on hallucinations and saves context switching. It will certainly be worth testing as soon as the first features roll out.

For the AI landscape, the deal proves that the era of free, unbridled web scraping for training data is over. Premium, human-curated datasets now carry a serious price tag, turning legacy communities like Reddit and Stack Overflow into must-have data partners for frontier labs.

Still, we think this move carries a massive long-term risk. Stack Overflow only works because millions of developers volunteer their time to answer tough questions. If contributors feel exploited and silenced with account bans, they will simply stop posting. Without fresh technical discussions to feed on, OpenAI may find itself paying for an increasingly stale archive.

Sources (3)

  1. [1]
    stackoverflow.co(opens in a new tab)Originalstackoverflow.co
  2. [2]
    build5nines.com(opens in a new tab)Reportbuild5nines.com
  3. [3]
    openai.com(opens in a new tab)Reportopenai.com

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