1. AI‑generated content contaminating training data
- “They’ll train on prompts and anything else you send in. Many LLM responses are sorta finger printable: I assume this is intentional.” – NegativeLatency
- “I can consistently reproduce this by asking Claude which code snippet it prefers: the one it generated in a different chat, or one that I refactored for my own needs and find more useful. It always picks its own :)” – xpct
- “It’s optimizing for good writing. Therefore, it believes its outputs are good. Therefore, it believes inputs that look like its outputs are good.” – freeone3000
2. Declining quality of AI search assistants (e.g., Perplexity)
- “Then they started optimizing for speed of responses over quality of results… The links and references it gives frequently don’t match the text right next to them.” – Aurornis
- “I paid for perplexity pro for 3 years… I think they damaged themselves by going for a land grab of user base through freebies… Now there are reports of people being billed at the end of their trial period without warning.” – stranded22
- “Google’s AI mode is surprisingly capable and almost absurdly fast… Which means Perplexity in effect doesn’t have anything to differentiate it.” – cheesecakegood
3. Rise of AI‑focused SEO/GEO/AEO manipulation driven by ad incentives
- “Manipulating training data so that models will recommend your product is undoubtedly a big industry.” – a2ff6eeb0
- “Begun, the AI SEO wars have.” – lukev
- “My friend works for a company called ‘profound’ whose whole job is ‘get found by ai’ by spamming reddit and other talk sites.” – dominotw
- “And it’s all because of ads. The incentives in an ad‑funded internet are just always going to lead to this sort of thing. The most important thing is getting the user to load your page, not actually satisfying their query.” – SoftTalker