> Once the ads are injected directly into the main response is when things get interesting.
This would be where you post-process the LLM response with a second LLM to remove the ad..
This is already how email works in the corporate world.
A writes email with chatgpt to B.
B sees big blob of text and summarizes email with chatgpt.
Adding an LLM in the middle is just the next step.
Then you just end up in an arms race that ultimately leads to photocopy-of-a-photocopy output.
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I think it will be difficult to remove bias when you ask a model to compare alternative products. The model will simply lie, as with a biased human opinion and you will need to consult multiple models for a diversity of opinion and presumably use a "trusted" model to fuse the results. Anonymity will be a key tool in reducing the model's ability to engage in algorithmic pricing.
Super easy. Barely an inconvenience.