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markb139

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Nokia had touch screen built into symbianOS from the start. All the API’s were there as was the UI handling. The Psion 5 was based on an earlier version of the same code and it was developed in 1995 or there abouts. In 2002/2003 much worked was done producing a touch based UI (I worked on a few of the apps). We had a customisable Home Screen with drag&drop icons. Multitasking with inter app communication.

Sadly, the hardware wasn’t quite up to it and they were silently dropped instead of working on improving.

I’m a leftie from a 50% leftie family. Apparently I showed my left handedness as a baby when grasping for things and hardly used my right hand. My mother was also a leftie, but in her generation she was forced to write with her right hand. The net result being she could write equally well with both hands. When I learnt this I tried to copy it.

Why use any high level language at all if AI is writing the software. The high level languages seem mostly about humans not being able to handle complexity. Not an issue for an automated bot.

It seems to be perfectly happy to run on virtual box with a Debian install. The host pc is running a local model. I’m quite impressed with what it’s capable of.

I retired from paid sw dev work in 2020 when COVID arrived. I’ve worked on my small projects since with all development by hand. I’d followed the rise of AI, but not used it. Late last year I started a project that included reverse engineering some firmware that runs on an Intel 8096 based embedded processor. I’d never worked on that processor before. There are tools available, but they cost many $. So, I started to think about a simple disassembler. 2 weeks ago we decided to try Claude to see what it could do. We now have a disassembler, assembler and a partially working emulator. No doubt there are bugs and missing features and the code is a bit messy, but boy has it sped up the work. One thing did occur to me. Vendors of small utilities could be in trouble. For example I needed to cut out some pages from a pdf. I could have found a tool online(I’m sure there are several), write one myself. However, Claude quickly performed the task.

I briefly worked in a team that implemented a JVM on a mobile OS (before the iPhone) and one of the senior devs said Jazelle was in effect very inefficient because of all the context switching between ARM mode and Jazelle mode. Turned out a carefully tuned ARM JVM was in practice th best

I’ve tried 2 AI tools recently. Neither could produce the correct code to calculate the CPU temperature on a Raspberry Pi RP2040. The code worked, looked ok and even produced reasonable looking results - until I put a finger on the chip and thus raised the temp. The calculated temperature went down. As an aside the free version of chatGPT didn’t know about anything newer than 2023 so couldn’t tell me about the RP2350

GPT-5 12 months ago

I just checked. The code it gave me, though syntactically correct, was wrong functionally. The rp2040 temp reading increases and the ADC value decreases. ChatGPT didn’t invert the values.

GPT-5 12 months ago

Ha. I asked it to write some code for the Raspberry Pi RP2350. It told me there might be some confusion as there is no official product release of the RP2350. If it doesn’t know that, then what else doesn’t it know?

37 is young. Trust me, in a few weeks I’ll be 60.

My whole life I’ve known I was an engineer. However, for a great chunk of the early years I couldn’t express that and did really badly at school.

I just learnt at my own pace and eventually worked as an electronics engineer in the broadcast industry. Then quit that and moved into sw dev.

One piece of advice is to just build stuff, fail and learn.

Good luck

It's doable, but it took me closer to 20 years. I got to zero net assets in July 2001. Retired from paid work (mainly sw eng contracting) at the start of covid in April 2020.

I should say, at the start I wasn't married and had no dependents. Also, for large parts of those 20 years, I didn't need to own or use a car.

I’ve now retired from professional programming and I’m now in hobby mode. I learn nothing from reading AI generated code. I might as well read the stack overflow questions myself and learn.

The code looked fine. And I don’t think my finger is colder than the chip - I’m not the iceman. The error is the analog value read by the ADC gets lower as the temperature rises.

I tried code gen for the first time recently. The generated code look great, was commented and ran perfectly. The results were completely wrong. The code was to calculate the cpu temperature from the Raspberry Pi RP2350 in python. The initial value look about right, then I put my finger on the chip and the temp went down! I assume the model had been trained on broken code. This lead me to think how do they validate code does what it says

I know very little about horses, but find myself surrounded by them thanks to my wife’s interests. We have a horse who is quiet natured and well behaved. But, the fight or flight instinct wakes up very quickly and he’s 600kg.

25 years ago I did the same thing with MS flightsim as an interesting project. I took a similar approach except I was using Java. I got as far as being able to navigate to lat/long fixes. Learnt quite a bit in the process