That’s why I think knowledge needs to be better structured than blobs of text scattered everywhere. An AI can be more than an LLM, Wolfram posted recently about that. You can use the LLM to convert a question into a semantic query and a semantic validator and check and amend and provide a semantic knowledge graph explaining an answer and the LLM can convert it back to meat language. I think people confuse LLM with true intelligence, but the cynics also confuse LLM with a complete and fixed point solution.

Your point also seems to assume no curation can happen on what is ingested. Simply because that might be what’s happening now you could also simply train the LLM on known good sources and be as permissive or restrictive as is necessary. Depending on how good the classifiers are for detecting LLM output (openai released on recently) or other generated / automatically derived content you can start to be more permissive.

My point is people seem to be blinded by what is vs what may be. This is not the end of the development cycle of the tech, it’s the pre-alpha release by the first meaningful market entrant. I’d be slower to judge what the future looks like rather than assuming everything stays fixed in time as it is.