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  • Video recording from ICML up from Arvind Narayanan
    by Cloudly
  • Many people still 'work-out' at the gym while their 'real' working lives involve close to zero physical effort. Many people 'go for walks' when a motorcycle could have gotten there faster and with less effort.

    The utilitarian view of mental 'work' might shift in the same way. Deliberately opting for mental excersize not because of nescessity but for mental health and enjoyment.

    Just like in the physical case, there will be widespread mental obesity because many will not.

    by PeterStuer
  • AI won’t function unless you give it a purpose (at least for now). Isn’t it crucial, then, that we define that purpose as specifically as possible? Both AI and humans make mistakes. What they have in common is that review is necessary.
    by ErystelaThevale
  • Here’s an idea: reversing climate change. That should keep you busy for the rest of your life.
    by deadbabe
  • > I argue that there will be plenty for us to work on, grounded in the “AI as normal technology” thesis

    There is no doubt that AI is creating more work than it produces. Every single line it writes has to be reviewed by someone because AI cannot take responsibility. And it can spew out decades worth of written code every day. Every line is untrustworthy and must be manually verified.

    The problem is I don't want to do this work. You don't either. Everyone I've seen using AI to write code does not do this work. Anyone who says they do this work is lying, to you or themselves or a little of both. People just YOLO and ship it.

    If that is the only work left to do when using AI, I'll just do it the old way. If that's not good enough to stay employeed, then I'll just find a new career.

    by panny
  • The author has a blog post mirroring their talk in writing: https://www.normaltech.ai/p/what-will-be-left-for-us-to-work
    by reasonableklout
  • I have a question about “domain expertise” as a component of future knowledge worker requirements. How does one gain such expertise in a context where thinking is expected to be delegated to AI (shifting from problem solving to question asking, as noted in this paper)?

    How does one learn to pose the right questions when basic ones are rarely “manually” answered? that is, without an AI assistant’s help

    This pattern appears in schools, where AI interferes with human development that typically demands long and difficult effort of actually answering questions

    by mohsen1
  • There are three parts of this talk, the last part (~last 15mins) bluntly address the question "how human roles shift in a world with advanced AI?"

    My main takeaways from the speaker's position are: purely technical skills will get devalued because they tend to be verifiable tasks and AI will get better. Also effort will shift from building to evaluation of AI and systems. Speaker also mentioned that more of our time will go to decision making while AI takes over delivering on decisions.

    I found many arguments to be at odds with one another bc the speaker does not address how someone can gain understanding without accumulating purely technical skills. It simply does not add up that someone who lacks purely technical skills in an area can make good decisions. Experience is often a by product of accumulating technical acumine in a particular problem area.

    by QuantumNoodle

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