The most promising resource was a post in Russian language by the blogger “axe_chita”, coincidentally published just some days before the start of my efforts. It is a long post that leads the reader into the secrets of QuickBASIC 4 and its compilation model, all in the form of emotional rant. The comments are also insightful, especially this conversation between the author and “firehacker”, which features a side-by-side comparison between a sample BASIC program and its exe form. Was all of this useful? Not at all! Because, spoiler, QuickBASIC 3 compiles programs in a totally different way than its follower! The post links an article from BYTE magazine that confirms this finding.
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Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.
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