Supposedly more energy dense.
FizzyOrange
joined 2 years ago
Oh you mean when I said this?
I expect it helps people of all experience levels fairly equally, but only with tasks that are relatively simple.
No I don't have actual data, just direct personal experience of asking AI to do simple and complex tasks - it does much better on simple tasks, especially in very widely discussed domains (HTML, CSS, JavaScript, Python etc.) Ask it any SystemVerilog stuff and it gets it wrong almost every time annoyingly!
What do you mean? I've seen people say that all the time on HN. No I'm not going to go and search for comments.
Yeah there are pros and cons. Desktop apps are not sandboxed. Mobile apps are often missing features and are annoying to install. Websites often have poor performance or janky UX on mobile, and you need to be online, and you don't have control of their availability.
I think the best option depends on what the thing is - ordering food from a random pub? Web site. Video editing? App.
Proper reasoning is always needed if you want a guarantee.
You formally verify your regexes? Doubtful.
Does that imply anything at all in LLMs’ favour?
Yes it suggest lower cognitive load.
Great, but I wouldn't be shouting from the rooftops how Wayland has created a better experience for users just yet.
Ok I can see you haven't actually come across any complex regexes yet...
(Which is probably a good thing tbh - if you're writing complex regexes you're doing it wrong.)
I work in RISC-V CPU development and I'd say 5-10 years is about right for when we'll see usable RISC-V desktop class machines.
This is stupid pedantry. By that logic literally nothing is complex because everything is made up of simple parts.
Languages well suited for client side web code. Most of these (maybe all?) compile to JavaScript and are designed for the web.