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CEO Ibbaka Performance - Leader LinkedIn Design Thinking Group

Useful post from Jakob Nielsen on the evolution of human computer interaction. He characterizes the era we are entering as 'intent based.' It is worth pausing here to think about what 'intent' means and what it means to be intentional. I am still thinking about this, but one way to get at this is that it is the opposite or rote work. We often hear people say that AI automates work and replaces rote work. This is not what is happening with generative AI. Generative AI is responding to our intentions, it seems to infer what we intend to do. One of the things I appreciate about Perplexity.ai is the way it parses a prompt and can ask for clarification. 1. Batch processing: very efficient in CPU, but terrible for users. 2. Line-mode UI: still very efficient CPU use, still terrible usability, but a little better than batch processing. 3. Full-screen UI: this interface style required more computation, mainly on the back end, which had to keep track of everything on the screen instead of just the last few characters typed by the user. Full-screen terminals also needed more electronics to render the full-screen UI and allow for form-filling across this expanse, compared to earlier terminals that simply scrolled the previous lines of text up the screen. 4. Graphical user interfaces (GUI): very computationally intensive, both in terms of calculating what should be shown where, and in terms of rendering these pixels on the screen. 5. Intent-based outcome specification: the new AI-driven interaction style where users specify what they want to happen rather than the detailed commands needed to achieve this outcome. Super-demanding of compute power for AI inference. (Also, as a one-time expense, even more demanding of the AI learning compute to build the foundation model driving the inference.) https://lnkd.in/dYfFaxyh #AI #UI #UX #intentionalcomputing

Compute Creates Usability

Compute Creates Usability

jakobnielsenphd.substack.com

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