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    Home»News»ChatGPT’s new branching feature is a good reminder that AI chatbots aren’t people
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    ChatGPT’s new branching feature is a good reminder that AI chatbots aren’t people

    Editor Times FeaturedBy Editor Times FeaturedSeptember 8, 2025No Comments2 Mins Read
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    On Thursday, OpenAI announced that ChatGPT customers can now department conversations into a number of parallel threads, serving as a helpful reminder that AI chatbots aren’t people with fixed viewpoints however fairly malleable instruments you may rewind and redirect. The corporate released the characteristic for all logged-in net customers following years of consumer requests for the aptitude.

    The characteristic works by letting customers hover over any message in a ChatGPT dialog, click on “Extra actions,” and choose “Department in new chat.” This creates a brand new dialog thread that features all of the dialog historical past as much as that particular level, whereas preserving the unique dialog intact.

    Consider it nearly like creating a brand new copy of a “doc” to edit whereas preserving the unique model secure—besides that “doc” is an ongoing AI dialog with all its amassed context. For instance, a advertising workforce brainstorming advert copy can now create separate branches to check a proper tone, a humorous strategy, or a completely completely different technique—all stemming from the identical preliminary setup.

    A screenshot of dialog branching in ChatGPT.

    OpenAI

    A screenshot of dialog branching in ChatGPT.

    OpenAI

    The characteristic addresses a longstanding limitation within the AI mannequin the place ChatGPT customers who needed to strive completely different approaches needed to both overwrite their current dialog after a sure level by altering a earlier immediate or begin utterly contemporary. Branching permits exploring what-if situations simply—and in contrast to in a human dialog, you may strive a number of completely different approaches.

    A 2024 research performed by researchers from Tsinghua College and Beijing Institute of Expertise suggested that linear dialogue interfaces for LLMs poorly serve situations involving “a number of layers, and lots of subtasks—corresponding to brainstorming, structured data studying, and huge undertaking evaluation.” The research discovered that linear interplay forces customers to “repeatedly examine, modify, and replica earlier content material,” rising cognitive load and lowering effectivity.

    Some software program builders have already responded positively to the replace, with some comparing the characteristic to Git, the model management system that lets programmers create separate branches of code to check modifications with out affecting the primary codebase. The comparability is smart: Each assist you to experiment with completely different approaches whereas preserving your unique work.



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