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https://substack.com/@rkauf/note/c-115752714

Rafael Kaufmann (@rkauf)

Your last comment isn't quite true. Some of the greatest recent improvements in coding assistance AI have been exactly in handling feedback. The new coding AI tools can turn user instructions into rules that are kept in-context all the time (even in very long conversations), and Gemini 2.5 Pro is also far better at stopping in the middle of a chain of thought to realize that it doesn't, in fact, know what to do and asking the user for clarifications. IMO this really points at the need to train LLMs specifically for work.



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Rafael Kaufmann (@rkauf)

https://substack.com/@rkauf/note/c-115752714

Your last comment isn't quite true. Some of the greatest recent improvements in coding assistance AI have been exactly in handling feedback. The new coding AI tools can turn user instructions into rules that are kept in-context all the time (even in very long conversations), and Gemini 2.5 Pro is also far better at stopping in the middle of a chain of thought to realize that it doesn't, in fact, know what to do and asking the user for clarifications. IMO this really points at the need to train LLMs specifically for work.



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https://substack.com/@rkauf/note/c-115752714

Rafael Kaufmann (@rkauf)

Your last comment isn't quite true. Some of the greatest recent improvements in coding assistance AI have been exactly in handling feedback. The new coding AI tools can turn user instructions into rules that are kept in-context all the time (even in very long conversations), and Gemini 2.5 Pro is also far better at stopping in the middle of a chain of thought to realize that it doesn't, in fact, know what to do and asking the user for clarifications. IMO this really points at the need to train LLMs specifically for work.

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