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That's a good question. AI is not directly accelerating static outputs. Instead, it's the way vendors use AI to generate code that speeds up those outputs. I don't believe AI will be able to anticipate semantic drift because it cannot know or reason about the future. Adapting to changes is a different matter; we can attempt to have AI adapt to semantic shifts, but this presents a challenge of determinism. Integrations at scale, like those operated by chatint.ai, must be 100% deterministic. The best a large language model (LLM) can achieve is around 90% accuracy, and even that is inconsistent. Consider this: do we want a non-deterministic integration with your banking app or ATM? I hope I answered your question, but let me know if not..
Oct 24
at
3:31 PM
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