Unless I am wildly misreading this, this is actually worse that both GUIs and LLMs combined.
LLMs offer a level of flexibility and non-determinism that allow them to adapt to different situations.
GUIs offer precision and predictability - they are the same every time. Which means people can learn them and navigate them quickly. If you've ever seen a bank teller or rental car agent navigate a GUI or TUI they tab through and type so quickly because they have expert familliarity.
But this - with a non-determinstic user interface generated by AI, every time a user engages with a UI its different. So they a more rigid UI but also a non-deterministic set of options every time. Which means instead of memorising what is in every drop down and tabbing through quickly, they need to re-learn the interface every time.
I don't think you have to use this if it's not working in your case. I think the idea is to try to anticipate the next few turns of the conversation, so you can pick the tree you want to go down in a fast way. If the prediction is accurate, I could see that being effective.
It’s intended for conversations that are probably different every time too. It’s like a more expressive form of what Claude Code already does with the “AskUserQuestion” interface.
There is some intellegence. It can figure stuff out and solve problems. It isnt copy paste. But I agree with your point. They are not intellegent enough to learn during inference. Which is the main point here.
Wolves (and all dogs) could be vegetarians as they aren't obligate omnivores - and in certain conditions where pray is sparse they do eat berries to surviven. Cats on the other hand are obligate carnivores and can't produce taurine amino acids, so they have to eat meat to survive.
I don't expect someone to do deep focused work from 9am to 5pm.
But at the same time, I don't expect them to spend their 9-to-5 working for another company at the same time.
As a founder, who respects the 9-to-5 and supports WFH, if I'm paying for 8 hours of work, I want 8 hours of output. Not 4 hours of output, and then you working 4 hours for another job.
If multi-jobbing becomes a thing, then WFH becomes untenable because at least in the office you can be monitored.
To be fair, you're either paying for hours or for output, because I assure you you are not paying staff accurately for their output. You can of course sack someone who outputs notoriously little, but if you get output exceeding your average "8 hours of output", you shouldn't care if someone made it in 1 hour or 16, or at least you wouldn't be able to tell.
I'm using "output" as quoted in context, it's such a nebulous measure unless you're specifically buying a product.
It’s worth thinking about why you’re wrong, because it explains why those comparisons aren’t valid. Modern conservatism is defined by rejecting ideas like objective truth or pluralism which are the core of academia. There’s no way to have conservatives more represented in science when conservatives refuse to allow people who practice science to be part of their movement: you used to be able to find Republicans who wanted to do something about climate change, for example, but anyone who wants to apply scientific principles there now has been purged from the party. Vaccines aren’t quite there yet but it’s trending in that direction and the percentage of doctors who are Republican have been declining since the pandemic.
Contrast that with women in tech or men in nursing and it becomes obvious why the comparison isn’t valid: women want to be good technologists, not to reject the validity of technology or say we should all go back to the Amish lifestyle (that desire is common to senior developers of both genders). Male nurses want to be good nurses, not claiming that their gender means they can commit medical malpractice.
LLMs offer a level of flexibility and non-determinism that allow them to adapt to different situations.
GUIs offer precision and predictability - they are the same every time. Which means people can learn them and navigate them quickly. If you've ever seen a bank teller or rental car agent navigate a GUI or TUI they tab through and type so quickly because they have expert familliarity.
But this - with a non-determinstic user interface generated by AI, every time a user engages with a UI its different. So they a more rigid UI but also a non-deterministic set of options every time. Which means instead of memorising what is in every drop down and tabbing through quickly, they need to re-learn the interface every time.
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