OpenAI is building AI agents for everything. Will everyone use them?
How much control are you willing to give an LLM over your digital life? Getting the most value from a model means giving it the keys.
Why It Matters
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Key Facts
- Fact 1: And I haven’t had to.” Ambrosino works on OpenAI’s biggest bet, ChatGPT Work, which was released last month and is available on the company’s lowest subscription tier, for $20 a month.
- Fact 2: “If the labs cannot rapidly get ahold of the key complementary assets needed to scale AI in the market, value will accrue elsewhere,” Christian Catalini wrote on a16z’s Time to Build blog.
- Fact 3: An OpenAI-backed study found that in June, 98% of OpenAI employees were using Codex, but just 17% of organizational subscribers and less than 1% of individual subscribers were using the agentic coding tool.
- Fact 4: “You sit there and you’re like, ’of course I want to pay $20 bucks a month for this,’ because the value that you get is so much more.” How to make AI intuitive To understand that disconnect, it helps to understand what OpenAI’s engineers are building.
How much control are you willing to give an LLM over your digital life? Getting the most value from a model means giving it the keys.
For a control freak or the AI hesitant, it seems like a lot. For Andrew Ambrosino, the lead engineer for OpenAI’s desktop app, it’s the only way to test the future, which is why that app now has access to, and control over, his inbox, his Slack account, his phone, apps like Notion and Figma, and more. “If I’m asking it to write a document, is there a possibility that it’s going to pull from a private DM on that subject and not know that it’s not supposed to share some info?
(Original synthesis pending human/AI review — generated by the stub provider by selecting real sentences from the source material, not by writing new analysis or commentary.)
Original source: TechCrunch
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