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Back to Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week, with Vibhu Sapra & Ari Weinstein.

How Fast Did Computer Use Place a Meal Order?

Ari Weinstein ordered from a meal-prep service he had joined to eat healthy. It lets him specify grams of chicken and grams of rice, and he can customize each order to a high degree of granularity. The form was so complicated that one order took him two hours. Computer use finished that order in 15 minutes, eight times faster than he could, and saved him the two hours, on GPT-6.1 Sol. He calls that kind of task the one that feels really powerful.

Shawn Wang puts flight booking, shopping, and even a game in the same group of chores. His own first use is YouTube. A/B tests and community posts are not available through an API, so the agent has to run them in a virtual machine. He says none of that is available by API because they hate developers.

Transcript

Why Dwarkesh is Wrong about Computer Use + How OpenAI shipped its Jev competitor in 1 Week ·

Latent Space: The AI Engineer Podcast

More from this episode

  1. How Much Cheaper Is GPT-6.1 Sol for Computer Use?Ari Weinstein says GPT-6.1 Sol is a fifth of the cost of Astra, and a seventh of the cost when the comparison is computer use.
  2. Why Did Computer Use Change 180 Degrees?Shawn Wang says a leading AI podcast, friends of the show, is famous for claiming computer use has not advanced in the last two years.
  3. Is Computer Use Faster Than an Expert User?Ari Weinstein says computer use is not yet as fast as an expert user.
  4. What Is Mid-turn Steering on an OpenAI Model?Nikunj Handa says mid-turn steering on GPT-6 lets someone inject messages while the model is still reasoning, and new instructions can go in as soon as a tool…
  5. Why Did OpenAI Copy Jev?Nikunj Handa says Jev inspired OpenAI's Decisions API and a wider slice of the market.
  6. Did OpenAI Build the Decisions API in One Week?Nikunj Handa says the Decisions API work started a week ago and is still very early. He calls the internal use cases pretty obvious.

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