(And I should have said ChatGPT4 earlier, if you're a bad to medicore developer taking ChatGPT3.5 literally you'll probably wind up in a Very Bad Place.)
935 karma · joined March 8, 2012
(And I should have said ChatGPT4 earlier, if you're a bad to medicore developer taking ChatGPT3.5 literally you'll probably wind up in a Very Bad Place.)
So overall it's more an amplifier than anything else.
On cast off/cheap workstation/server hardware.
(The 286 was enough for a PDP-11 style UNIX, and the 8088 could run a hobbyest-level one OK.)
The PRUs are still there for now, but not very well supported. (You do get multiple Cortex R's.) Once the RP1 is fully documented and exploited the PI5 will probably become even more popular for hobbiest IO, but that's in a different market really.
The Jacinto7 line is still pretty popular in some circles and there are some boards around the series. It's a bit of a confusing line though since the same dies are offered in multiple product lines targeted for different markets.
Beaglebone AI64 (TI TDA4VM, 2xA72, 4GB, NVMe, $185) : https://www.beagleboard.org/boards/beaglebone-ai-64
TI SK-AM69 (AM69 - same die as TDA4VH, $400, 8xA72, 32GB RAM, PCI-e, NVMe): https://www.ti.com/tool/SK-AM69
If the SK-AM69 supported transformer models (i.e. llama.cpp) in it's NPU it would probably be perpetually out of stock.
Copilot, at least from what little I did in vscode, isn't as powerful as this. I think there's a GPT4 mode for it that I haven't played with that'd be a lot closer to this.
https://chat.openai.com/share/29d695e6-7f23-4f03-b2be-29b7c9...
Maybe an pi5 could handle all three channels in 8-bit, depending on how the RP1 actually works. I'm hoping that it can handle a 40msps 10-bit ADC - a Domesday Duplicator hat would be wonderful.
The other option would be to find a vga->hdmi convertor that likes the signal coming out from this board, then you could plug that into anything modern.
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When I first saw this I thought it was about an actual 9" classic mac, which I guess would be useful but IMO those are really designed around the CRT too much to make a replacement 'fit' well.
For learning to code I suspect that with a strong enough version of GPT a new user won't hit the limits, and if it goes wrong having to debug isn't a bad thing ;)
Basically that'd turn it into a really big RP2040 ;)