They are getting better at historical data, not at the fundamental issue.
replyAs a recent example, I recently had to abandon the multiple LLM reviewer/verifier model I was using because zig 0.16 was released with major changes.
I actually reverted back to full self hosted because the foundation models we’re trying too hard to revert to the older versions of the language.
It is going to be a balancing act and there is fundamentally no way for LLMs to get around this.
We will have to develop methods to do so, most likely by focusing agents on problems that are more static.
I find great success in not relying on LLM's built-in knowledge, but giving it links to necessary docs/manuals and have it read that before doing anything.
replyAlso, add "no assumptions or guesses" and if you use a model with really strong prompt adherence (most SOTA models), they'll figure out the right version first, then look up docs, then implement.
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