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Joined 3 years ago
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Cake day: August 11th, 2023

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  • You can try to reason about it which is an arguable improvement from the former engineer you can’t get ahold of anymore. So you can could see that it triggered a node associated with c++ when it generated this string of tokens or compare it other generations to map it to a type of call.

    Where it doesn’t compare to a human engineer at the moment is quality or novelty.








  • I hate to say this but can’t LLMs solve the cognitive debt problem better then people? Wouldn’t having a stochastic machine that can have its state frozen in time, retrived at convience, and fed the same inputs be a potentially more transparent machine, thinking or otherwise?

    I agree with you on stating thr problem though, and the term seems concise enough to me. The gap seems to be not in ability to do this but that creating graspable and reasonable audits for LLM usage is like many risk mitigation systems, an after thought in the industry.



  • Context collapse and hallucination in the face of anything novel has been my experience 90% of the time. I even tried context compression by trying to do the research, test spec, plan, code tests, product spec, plan, code product method, but then the issue was the plan satisfied the AI too quick (“actually we already test all of the code, you can see that by reading the “we test all of the code” spec”).