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catfacts
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1.
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catfacts
1y ago
Thanks for all the information you provided. I will read Rust by Example and stop posting in this thread to avoid deviating from the OP. Anyway, perhaps other readers are learning Rust and having the same questions in their minds, so your a
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catfacts
1y ago
Thanks for the info. I imagine that in this care, since it seems the error is not captured, it should end producing panic. So a question mark is used when the expected result is of type Result or Error. Also the web page, https://
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catfacts
1y ago
I recall someone creating a crypto system and then forgetting to protect the constructor of the initial object so other could change the constructor and do whatever they wanted with that crypto system, but in the end the creators were just
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catfacts
1y ago
I am not even a newbye in Rust and also this could be just nitpicking, but it seems that match is comparing strings and not characters, if this is the case then I think Common Lisp can optimize more, since there is a special comparison for
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by
catfacts
1y ago
I remember Clapp a Common Lisp in C++ using LLVM. Clapp was promising but progress has been very slow. Since Clojure is similar to CL, one wonder if Jank will experiment similar problems. Might I ask the author of Jank whether he knows
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catfacts
1y ago
Do you know if any such experimental work is using a special tokenizer for example in Lisp a special token for left or right parenthesis?
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catfacts
1y ago
Yes, the concept of "syntactic complexity" applied to LLMs can be very different of what we think and I think it depends of the tokenizer. Perhaps LLMs could be fine-tuned by using a grammar for computer languages and special tok
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catfacts
1y ago
I usually use deepseek (gratis) for code, and when using defun and let it usually lacks one (or more) closing parenthesis. So the way to mark the end is not well understood by this LLM, or perhaps that the height of the AST is usually bigge
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catfacts
1y ago
Cognitive load in LLMs: When LLMs are faced with syntactic complexity (Lisp/J parentheses/RL-NOP), distractors (cat facts), or unfamiliar paradigms (right-to-left evaluation), the model’s performance degrades because its "att