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micro.webology.dev | ||
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ezyang.github.io
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| | | | | Outside of very tactical situations, current models do not know how to stop digging when they get into trouble. Suppose that you want to implement feature X. You start working on it, but midway through you realize that it is annoying and difficult to do because you should do Y first. A human can know to abort and go implement Y first; an LLM will keep digging, dutifully trying to finish the original task it was assigned. In some sense, this is desirable, because you have a lot more control when the LLM does what is asked, rather than what it thinks you actually want. | |
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mitrapunk.com
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| | | | | In the software development industry, the career transition from being a skilled software developer to a high-impact manager is a huge opportunity for engineer. | |
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markodenic.com
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| | | | | Free programming books, algorithms, public APIs, and much more. | |
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anthonysciamanna.com
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| | | I remember being introduced to functions early in my first programming classes. This introduction came with a warning that code duplication was VERY bad, ... | ||
