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posted by janrinok on Thursday February 09, @01:21PM   Printer-friendly

OpenAI, the company behind the chatbot ChatGPT, has ramped up its hiring around the world, bringing on roughly 1,000 remote contractors over the past six months in regions like Latin America and Eastern Europe, according to people familiar with the matter:

About 60% of the contractors were hired to do what's called "data labeling" — creating massive sets of images, audio clips, and other information that can then be used to train artificial intelligence tools or autonomous vehicles.

The other 40% are computer programmers who are creating data for OpenAI's models to learn software engineering tasks. OpenAI's existing Codex product, launched in Aug. 2021, is designed to translate natural language into code.

[...] Previously, OpenAI trained its models on code scraped from GitHub, a repository site owned by its largest investor, Microsoft, which last week confirmed multi billion dollars in new funding first reported by Semafor. But in this case, OpenAI appears to be building a dataset that includes not just lines of code, but also the human explanations behind them written in natural language.

[...] Sam Altman, OpenAI's CEO, recently put the company's headcount at 375 people, a tiny number compared to the thousands of staff at tech giants like Google and Facebook working on artificial intelligence. "I know I'm not supposed to brag about OpenAI," he tweeted, touting the company's "talent density."

Originally spotted on The Eponymous Pickle.

Previously: Why OpenAI's Codex Won't Replace Coders

Related: OpenAI and Microsoft Announce Extended, Multi-Billion-Dollar Partnership


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  • (Score: 3, Insightful) by fliptop on Friday February 10, @02:58PM

    by fliptop (1666) on Friday February 10, @02:58PM (#1291094) Journal

    And do you know what I have finally realised? I've finally seen past that curtain.

    There are two curtains, though. The one you mention, and the one that hides the programmers creating the AI software that will (presumably) take over. What biases have they built into it?

    As an example, will there be a day when an insurance company asks a doctor what diagnosis their (the insurance company's) AI made before considering whether to pay a claim?

    --
    To be oneself, and unafraid whether right or wrong, is more admirable than the easy cowardice of surrender to conformity
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