korrents

chat interfaces

The text box as the way into a model: whether chat is the future of software or a terrible interface, and what replaces it.

What people on korrents have said about chat interfaces, newest first — 13 positions from 7 people.

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  1. PS

    Peter Steinberger quoted

    The chat box is not the final form of working with models; it is radio shows recorded onto television.

    Like, if you think more globally, we are, we copied Google for agents. You have, like, a prompt, and, and then you have a chat interface. That, to me, very much feels like when we first created television and then people recorded radio shows on television and you saw that on TV.

    OpenClaw: The Viral AI Agent that Broke the Internet - Peter Steinberger | Lex Fridman Podcast #491youtube.com 16th of 25 in this recording

    Google

  2. 7 days earlier
  3. MH

    Mitchell Hashimoto quoted

    Chatbot interfaces are the wrong tool for meaningful coding work, because you are mostly hoping the model recalls the right answer and correcting it requires a human in the loop.

    Immediately cease trying to perform meaningful work via a chatbot (e.g. ChatGPT, Gemini on the web, etc.). Chatbots have real value and are a daily part of my AI workflow, but their utility in coding is highly limited because you're mostly hoping they come up with the right results based on their prior training, and correcting them involves a human (you) to tell them they're wrong repeatedly.

    My AI Adoption Journeymitchellh.com

    OpenAIGoogle

  4. 5 months earlier
  5. LW

    Luke Wroblewski quoted

    Chat is not AI's final form: agent-based applications increasingly outperform chat-only ones, and many different interfaces for AI will emerge.

    It's also worth noting that chat isn't the only way to integrate AI in software products and increasingly agent-based applications outperform chat-only solutions. So expect things to keep changing.

    Chat is: the Future or a Terrible UIlukew.com

  6. 4 months earlier
  7. JZ

    Julie Zhuo quoted

    ChatGPT exploded because of its obvious chat interface, not its technology, which had launched earlier in a different wrapper that few noticed.

    The technology powering ChatGPT had already launched prior to November 30th, 2022. It was just wrapped in a different interface. Very few people paid attention. Why did ChatGPT explode in popularity? Because of its obvious chat interface, which everyone intuitively already knew how to use it.

    Conversational Interfaces: the Good, the Ugly & the Billion-Dollar Opportunitylg.substack.com

    OpenAI

  8. JZ

    Julie Zhuo quoted

    A blank chat box is lazy: it violates the first rule of a good user experience, that it is obvious what you can do.

    The problem with a blank chat box on a blank page is that it violates the first rule of a high-quality user experience: it isn’t obvious what I can do.

    Conversational Interfaces: the Good, the Ugly & the Billion-Dollar Opportunitylg.substack.com

    design

  9. JZ

    Julie Zhuo quoted

    Conversational interfaces get to the first seventy percent quickly and are bad at iteration; the future is chat married to traditional direct-manipulation controls.

    Conversational UIs are great at quickly getting to the first 70%, but suck at offering easy controls over narrower areas for iteration.

    Conversational Interfaces: the Good, the Ugly & the Billion-Dollar Opportunitylg.substack.com

  10. 23 months earlier
  11. JN

    Jakob Nielsen quoted

    Half the population in rich countries is not articulate enough in writing to use prompt-driven AI well.

    For sure, half the population is insufficiently articulate in writing to use ChatGPT well.

    The Articulation Barrier: Prompt-Driven AI UX Hurts Usabilityjakobnielsenphd.substack.com

    OpenAI

  12. JN

    Jakob Nielsen quoted

    Graphical interfaces have superior usability because they show people what can be done rather than requiring them to articulate what they want.

    GUIs have superior usability because they show people what can be done rather than requiring them to articulate what they want.

    The Articulation Barrier: Prompt-Driven AI UX Hurts Usabilityjakobnielsenphd.substack.com

    design

  13. 4 days earlier
  14. JN

    Jakob Nielsen quoted

    Today's chat-based AI tools have deep-rooted usability problems and are not the interfaces we will be using in a few years; prompt engineering is a symptom, not a career.

    I doubt that the current set of generative AI tools, like ChatGPT, Bard, etc., are representative of the UIs we’ll be using in a few years because they have deep-rooted usability problems.

    AI Is First New UI Paradigm in 60 Yearsjakobnielsenphd.substack.com

    OpenAIdesign

  15. 7 weeks earlier
  16. AW

    by

    Amelia Wattenberger quoted

    Good tools make it clear how they should be used and how they should not; a chat box looks the same as a search box, a login form and a credit card field.

    Good tools make it clear how they should be used. And more importantly, how they should not be used.

    Why Chatbots Are Not the Futurewattenberger.com

  17. AW

    by

    Amelia Wattenberger quoted

    Good tools let the user choose when to switch between implementing and evaluating; a chatbot forces the switch every few seconds and kills flow.

    Good tools let the user choose when to switch between implementation and evaluation. When I work with a chatbot, I'm forced to frequently switch between the two modes.

    Why Chatbots Are Not the Futurewattenberger.com

  18. AW

    by

    Amelia Wattenberger quoted

    Chatbots are a terrible interface for large language models, because a text box has no affordances.

    Hopefully I've convinced you that chatbots are a terrible interface for LLMs. Or, at the very least, that we can add controls, information, and affordances to our chatbot interfaces to make them more usable.

    Why Chatbots Are Not the Futurewattenberger.com

    LLMsdesign

  19. 2 months earlier
  20. AR

    Armin Ronacher quoted

    Connecting a conversational LLM to systems that have real-world consequences is likely to cause real harm, because the model is trained on human text and will behave as unpredictably as humans do.

    The problem is that the conversational interface is potent and that the AI is trained on a lot of human text input which unfortunately is probably enough to do real damage if that conversational interface is hooked up with something that has real world consequences.

    I Think AI Would Kill my Wifelucumr.pocoo.org

    LLMs