I think the problem is that you can’t create new abstractions very well in graphical languages. It works for something like fixed domains (e.g. Blender node editor or your example) but for a general purpose language you need the ability to define abstractions that never existed before.
The other problem is that you can’t really apply any of the tooling to it that works with other languages, e.g. version control, formatters, linters,…
I thought about it some more since I wrote my comment and I am genuinely unsure any voice recognition system I have ever used managed to transcribe a full sentence to text successfully without making at least one mistake.
On the other hand with a keyboard I am reasonably sure I get problems such as network filesystems being unable to reach the server or broken hard drives more often than having to worry about mistyping a command I commonly use. Granted, part of that is thanks to tab completion but that is part of the issue with voice input, no easy way to correct what it got wrong.
As a primarily CLI user on Linux I wouldn’t even think of most commands as “words per minute” unless I am composing a complex pipeline or run a command with dozens of parameters at which point typing speed is not my bottleneck limiting the speed of input anyway and a free conversational interface would be totally fucked trying to figure out what I want it to do.
In my own real world usage I estimate a comprehension rate of about 92% with voice agents.
For me it feels more like 9.2% most of the time, and that is just the voice-to-text part, not even the interpretation of the resulting text as a command.
Maybe the tendency for LLMs to shower the user with praise for their prompts also makes them attractive to egocentric CEO type of personalities?
Every couple of years a shiny new AI development emerges and people in tech go “This is it! The next computing paradigm is here! We’ll only use natural language going forward!”. But then nothing actually changes and we continue using computers the way we always have, until the debate resurfaces a few years later.
Reminds me a bit of graphical programming. Every couple of years someone comes up with the idea of replacing textual programming with some kind of graphical interface with arrows between nested boxed of various shapes and it inevitably fails.
To be fair making outrageous claims with no relation to reality is sort of an all year thing with AI bros anyway.
Oh yeah, completely forgot to list the destruction of aesthetically pleasing views with public advertising boards and the waste of lifetime spent on watching ads in my list.
Edit: also loss of life from depression and inferiority complexes caused by unrealistic life and body image goals in advertising
The Wikipedia page for SearX claims it has been discontinued in 2022. The GitHub repository being archived in 2023 would seem to support that.
You mean because my responses actually fit the comments I respond to unlike your low effort FUD that is phrased in such a general way that it could easily be spammed all over without attracting too much attention?
I don’t know why you people all think AI has some magical capabilities. Tracking which aircraft is owned by whom isn’t exactly a complex task if you have the raw data of flight movements (needed for ATC and otherwise independently tracked by plane spotters,…) and people movements.
So judging by how many terrorist attacks and similar events had perpetrators that were in theory known to the relevant government agencies that means those private vendors are now somewhere above the “incredibly bad at it” level?
You do not see the scope of the way advertising ruins our society.
We have
Essentially everything you think of as propaganda is just applying advertising methods and societal structures for political purposes.
I guess it depends on the kind of job but at least with focus heavy tasks like programming I can already notice my error rate increase significantly by hour 7 or so. I can’t imagine working 10 hours a day without spending half of the next day fixing stupid mistakes from being overly tired.
Realistically most people will still not run devices 24/7 at home. Data centers will always have a place for that kind of service, even if they host a lot of small, independently owned devices by the very same people whose home connections we are talking about.
I would say most people do not need a home connection that is in the same order of magnitude as the average data center server connection in use at the same time. Mostly because by definition there won’t be many servers to transfer data from and to at that speed and the average person doesn’t run too many connections in parallel.
Actually it is mostly the US that has been caught doing that. Not saying others don’t do it but the US is the one who is bad enough at it to get caught regularly.
This isn’t really a very high throughput anyway, some devices had half of that back in the days when 2-4TB was the largest capacity for NVMe devices so it hasn’t really kept up with size very well.
Sure, six vendors all decided to release scam SSDs of similar sizes.
Both in English and my native German. I probably do have an accent in English but that is difficult to judge myself. Certainly nothing that prevents other people from understanding me though.