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> What makes you think there isn't a limited interpreter Because OpenAI says there isn't, and there are open source LLMs which show the same (but less profound
by cjbprime 3y ago
> What makes you think there isn't a limited interpreter
Because OpenAI says there isn't, and there are open source LLMs which show the same (but less profound) ability.
> expert system effectively akin to an interpreter working behind the scenes?
You're describing reasoning again. No-one hardcoded an "expert system" for Python into ChatGPT. If it has become one, it is through reading about Python (and same for C#).
- somenameforme 3y agoThen what would be your hypothesis on why ChatGPT is incapable of reasonining about the most utterly of trivial pseudo code examples that even the worst developer in the world would instantly understand, yet can parse and output complete and sophisticated programs in certain other languages? Another bit of evidence is how ChatGPT will habitually mixes things up (as is the very nature of LLM systems as currently programmed), yet what you will never see happen, as in 0% of the time, is it randomly mixing code in a chat response. Again, this is extremely trivially explained by the fact that code generation and chat generation are distinct systems, but otherwise...? Also, expert system [1] needs not be in quotes. It's an 'AI' technology dating back to the 60s. It's essentially just a fancy term for hard-coding queryable domain specific knowledge into a system. As an aside, where has OpenAI claimed any of this is false? Or, for that matter, which open source LLMs produce code that's not completely buggered? [1] - https://en.wikipedia.org/wiki/Expert_system https://en.wikipedia.org/wiki/Expert_system