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Vote on which of Hacker News' challenges for AI have been met

202 points · 271 comments · stabbles

ben_w · 1790877906 · focus · HN ↗
Very pleased one of my predictions was totally wrong: <a href="https://news.ycombinator.com/item?id=23252711">https://news.ycombinator.com/item?id=23252711
Sure, sure, what LLMs make still isn't "efficient bug-free code": my prediction is falsified because while LLMs can write and train new models with machine learning, ML is fundamentally not advanced enough to throw arbitraty new tasks at like this.
1. FabCH · 1790878254 · focus · HN ↗
  Somewhat appropriate the site the OP links to is called „goalposts“ because as far as I can see, people keep shifting theirs.
  In your case, the comment you link to says „business tasks“ and you expanded it now to „arbitrary new tasks“. Those are not the same. An LLM today sure can do many many many business-speak conversion tasks.
  1. ben_w · 1790879883 · focus · HN ↗
    I'm not always precise with my language, but business tasks can be pretty broad, I think "arbitrary new tasks" is not an unreasonable rephrasing on my part?
    Consider I was replying to this:
    > So are we all going to be out of a job?
    While your boss now has the capacity to ask Claude to train a new AI model to auto-balance a tower defence game's mob, cost, and tower parameters (I know because I've done it), this only matters if you and your boss are working in a video games company.
    If you and your boss are actually florists, you care if your boss can get Claude to automate a rose pruning, dead-heading, and fertilising robot.
    People are trying, but I don't think they'd be happy with 91.5% success rate: <a href="https://www.emerald.com/ir/article-abstract/doi/10.1108/IR-04-2026-0198/1398287/Design-and-experimental-evaluation-of-an?redirectedFrom=fulltext" rel="nofollow">https://www.emerald.com/ir/article-abstract/doi/10.1108/IR-0...
    [deleted] · 1790957964 · focus · HN ↗
    [deleted]

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