Re: DiarRhea1
Designed using ARM’s US-developed Neoverse cores
Developed in Cambridge England, thank you.
3700 publicly visible posts • joined 6 Jun 2007
Yes from my childhood it was an average of two days a week sitting in front of a non working TV with candles on top due to power cuts, and three days sitting in front of an empty TV table as it was away having the valves repaired. Even when it worked it was only black and white unlike everyone else's.
Pissing the user off with AI so much that they stop asking questions is counted as a resolution.
What dies the user do then? Ask an actual person they work with, thus wasting their time too, so how is that increased productivity looking?
I have tried and it isn't very easy at all. As much as I love the Pi for all sorts of uses, it isn't a match for dedicated hardware in specific roles.
The Raspberry Pi camera is good for general media use, but isn't optimised for low light levels and low data rates for continuous transmission to recorders without transcoding, and doesn't have sound without additional hardware. Packaging it in waterproof case isn't easy, I've tried various cases with clear lids which went cloudy due to UV, eventually I switched to a dummy CCTV camera which just has enough room for a Pi Zero inside and the camera replacing the dummy lens. But don't leave it in the summer sun running motion detection and transcoding software as it will fry.
After a couple of years of experimenting with this I gave in and bought a Tapo C325WB, much better picture day and night, fully weather proof, better motion detection, local recording, and cost less than all the bits I'd bought for the Pi.
A friend and I managed to make a voice controlled robot buggy using a BBC Micro at University. It could recognise "forward", "reverse", "left", "right" and "stop" with good confidence. We were very pleased until demonstrating it to others when we found that due to the very low sampling quality due to lack of memory, just about any other 5 words would trigger one of the actions.
LLMs are vastly inferior to sites such as Stack Overflow. They produce an output with no context and no providence. On the website you can see if the question matches what you are asking for, you can see the clarifications, and a number of suggested solutions along with comments on whether these are the best way of doing it, and any pitfalls and security issues. You get none of that insight if you accept whatever AI spits out.
Reading, and gaining knowledge from a purchased book is fair use, but creating derivative works and exploiting them for commercial gain, such as producing a screenplay, requires obtaining the rights to do so.
Any commercial AI models should also have to licence the rights for their derivative works.
I don't think anyone would be bothered unless the consequences of failure weren't so spectacular.
Personally I'd take a bit more care checking the code before I hit run, if I was holding up flight's through in a several thousand square mile exclusion zone, and risked several tones of debris potentially coming down on someone's head. But that's just me, and I don't have a rocket company to play with and $billions to buy my way out of any consequences.
and for which, crucially, the solution was not out there on the web
How can you be so sure?
Just because you didn't find it using a search engine, doesn't mean that it isn't out there. It could be behind a paywall, and the AI scrapers are a lot better at circumventing them than either search enigees or you.
I'm afraid you are just another punter taken in by the Victorian parlour trick that is AI.
Hosting several FlightRadar24 and FlightAware sites on Raspberry Pi's, and seeing the raw data you appreciate how the services aggregate a large number of low quality sources (compared to dedicated secondary radars) to produce higher quality position data. Tracking ground movements requires a number of sites very close to the airport, or there will be significant gaps and inaccuracies.
Speaking as a pilot; having the flaps up and the gear down seriously reduces to how far it can glide and it's ability to manoeuvre at low speed. It's still going to come down in short order, but it's the difference between coming down in the middle of a highly populated building, or in more open space nearby
P.A. Semi were set up by engineers who created the DEC Alpha and the StrongARM who left when Intel aquired the chip business. These are the chaps that really knew how to get the best out of the ARM architecture, so it was no surprise that Apple took them in-house to design their new silicon.
It's very satisfying seeing Apple back using the same architecture they partnered with Acorn to bring to their earliest hand held devices, and creating some of the best performing chips in class.
It's going to be the older the system the easier it is to keep going, just as with aeroplanes and racing cars.
Keeping an old spitfire or Lancaster flying - no problem, something just 10 years later such as the Vulcan - very difficult, 10 years later again such as Concorde - impossible.
Similarly with racing cars, any competent mechanic can keep an F1 car from the the early 20th century to the late 80s going, but after they started replying on bespoke ECUs you need a team of specialists from the originating manufacturer to even get them to start. By 2008 the FIA mandated a standard single ECU used by all F1 teams, but there are custom chassis and engine apps, and even if you know how the TAG-320 works, without access to the thousands of parameters which are loaded in, you aren't going to get very far.
Not so good as it will small-p politicise what should be a straight forward technical project and ironically discourage participation.
Exactly the opposite, it will discourage politicsm and encourage participation of people who aren't obsessed with imposing codes of conduct on technical projects.
This says everything about why you cant use natural languages for programming