Searching the web is a great feature in theory, but every implementation I've used so far looks at the top X hits and then interprets it to be the correct answer. When you're talking to an LLM about popular topics or common errors, the top results are often just blogspam or unresolved forum posts, so the you never get an answer to your problem. More of an indicator that web search is more unusable than ever, but inte…
RAG was dead on arrival because it uses the same piss-poor results a human would, wrapped in more obfuscation and unwanted tangents.
My question is why the degradation of search wouldn't affect LLMs. These chatbot god-oracle businesses are already unprofitable because of their massive energy footprint, now you expect them to build their own search engine in-house to try to circumvent SEO spam? And you expect SEO spam to not catch up with whatever tricks they use? Come on, people.