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It'd be very expensive to get a setup that can run non-flash well.

If they were still at original price I'd get a couple of DGX Sparks myself to run Flash models at a decent quant/context combo.


Not directly related, but reading this after looking at https://www.reddit.com/r/ClaudeAI/comments/1wa544p makes me think the writing style here is how LLM's probably should write web pages - simple explinations, defines things people might not already know, etc.

More related: What can an abliterated Qwen 3.8 28B do?


TBF the fizzbuzz code works just fine in CPython.

Indeed, for some code, CPython and this interpreter produce identical output. I gave it an upboat.

The original neo6502 is available from Mouser and Digikey, so I don't see why they won't get this.

I think it works if you treat it as a black box - the RP2040 and 2350 are synchronous and can basically play the role of an FPGA here.

Although I could see a version of this with two RP2350's.


If they're USB, they should! At least the Apple/Oric software supports USB flash storage, and the USB floppies are the same protocol.

The problem is Apple II 3.5" disks are in GCR so you would need a custom controller (IMO certainly doable with an RP2040 let alone RP2350) that is not bound to just PC formats.


There were cheap nvidia crypto GPU's based on the A100 that recently got unlocked. They are no longer cheap.

... and practically nobody's got the money for Fable at API prices. with GLM 5.3 Flash being a Reasonable Opus 4.x Substitute, Anthropic's moat is effectively gone.

Those export controls might have saved the flow of open-weight models from China. There was talk about Qwen moving away from releases... until Xi himself started promoting open weight models!

Distilled data or no, the Chinese labs are bringing a lot of solid original work in training and inference efficiency. Deepseek's work has probably made everyone's AI cheaper to run by this point.

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