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OpenAI adds multi-computer support to dot and suggests app testing uses

2 articles1 sourcesince Nov 9Last article 5h ago ·

Overview

AISummary of 2 articles

OpenAI says dot now lets users connect multiple local computers and choose which one handles a given task.

OpenAI Developers gives app testing as an example: a dedicated machine can build and test an app while the user keeps coding on a laptop.

In a separate post, OpenAI suggests asking a dot to test an Xcode change on a second Mac and send back screenshots, or to run the same test on a machine with an older SDK for comparison. It also suggests having dot click through a UI flow on another computer to find where things break, which leaves the user's own screen and cursor free.

Written by AI from the articles below · updated Nov 9, 4:15 PM ET

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Developments

2 developments

  1. Nov 9, 3:01 PM ET · 1 article
    OpenAI suggests ways to use dots for app testing
    OpenAI Developers: OpenAI suggests using dots to test iOS apps and UI changes on other computers
  2. Nov 9, 3:01 PM ET · 1 article
    Dot adds support for connecting multiple local computers
    OpenAI Developers: OpenAI's dot adds support for connecting multiple local computers

Article timeline

The articles in this story. Times are ET.

Nov 9
  1. OpenAI DevelopersOfficial
    OpenAI suggests using dots to test iOS apps and UI changes on other computers

    AIOpenAI suggests asking a dot to test an Xcode change on a second Mac and send screenshots, or to run the same test on a machine with an older SDK for comparison. It also suggests having a dot click through a UI flow on a second computer to capture where things break, leaving the user's own screen and cursor free.

  2. OpenAI DevelopersOfficial
    OpenAI's dot adds support for connecting multiple local computers

    AIOpenAI says dot now lets users connect multiple local computers and choose which one handles a given task. Users can, for example, have a dedicated machine build and test an app while they keep coding on their laptop.

    Video from @OpenAIDevs's post

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