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Yeah, Claude consistently impresses me. A commenter on another thread mentioned it but it’s very similar to how search felt in the early 2000s. I ask it a ques
by dartos 2y ago
Yeah, Claude consistently impresses me.
A commenter on another thread mentioned it but it’s very similar to how search felt in the early 2000s. I ask it a question and get my answer.
Sometimes it’s a little (or a lot) wrong or outdated, but at least I get something to tinker with.
- gonab 2y agoConversely I feel that the experience of searching has been degraded by a lot since 2016/17. My these is that, at this time, online spam increased by an order of magnitude
- TeaBrain 2y agoI don't think this is necessarily converse to what they said.
- bobthepanda 2y agoWinning the war against spam is an arms race. Spam hasn’t spent years targeting AI search yet.
- dageshi 2y agoI think it was the switch from desktop search traffic being dominant to mobile traffic being dominant, that switch happened around the end of 2016. Google used to prioritise big comprehensive articles on subjects for desktop users but mobile users just wanted quick answers, so that's what google prioritised as they became the biggest users. But also, per your point, I think those smaller simpler less comprehensive posts are easier to fake/spam than the larger more compreshensible posts that came before.
- state_less 2y agoOld style Google search is dead, folks just haven’t closed the casket yet. My index queries are down ~90%. In the future, we’ll look back at LLMs as a major turning point in how people retrieve and consume information.
- darepublic 2y agoI still prefer it over using llm. And I would be doubtful that llm search has major benefits over Google search imo
- ben_w 2y agoDepends what you want it for. Right now, I find each tool better at different things. If I can only describe what I want but don't know key words, LLM are the only solution. If I need citations, LLMs suck.
- esafak 2y agoAbstractive vs. extractive search.
- EVa5I7bHFq9mnYK 2y agoIt's getting ridiculous. Half of the time now when I ask AI to search some information for me, it finds and summarizes some very long article obviously written by AI, and lacking any useful information.
- th0ma5 2y agoQueries were rewritten with BERT starting even before then so it's still the same generative model problem.
- imiric 2y agoI recently tried to ask these tools for help with using a popular library, and both GPT-4o and Claude 3.5 Sonnet gave highly misleading and unusable suggestions. They consistently hallucinated APIs that didn't exist, and would repeat the same wrong answers, ignoring my previous instructions. I spent upwards of 30 minutes repeating "now I get this error" to try to coax them in the right direction, but always ending up in a loop that got me nowhere. Some of the errors were really basic too, like referencing a variable that was never declared, etc. Finally, Claude made a tangential suggestion that made me look into using a different approach, but it was still faster to look into the official documentation than to keep asking it questions. GPT-4o was noticeably worse, and I quickly abandoned it. If this is the state of the art of coding LLMs, I really don't see why I should waste my time evaluating their confident sounding, but wrong, answers. It doesn't seem like much has improved in the past year or so, and at this point this seems like an inherent limitation of the architecture.
- geodel 2y agoWell it is volume business. <1% of advanced skill developers will find AI helper useless but for 99% of IT CRUD peddlers these tools are quite sufficient. All in all if employers cut down 15-20% of net development costs by reducing head counts, it will be very worthwhile for companies.
- WgaqPdNr7PGLGVW 2y agoI suspect it will go a different direction. Codebases are exploding in size. Feature development has slowed down. What might have been a carefully designed 100kloc codebase in 2018 is now a 500kloc ball of mud in 2024. Companies need many more developers to complete a decent sized feature than they needed in 2018.
- outworlder 2y agoIt's worse than that. Now the balls of mud are distributed. We get incredibly complex interactions between services which need a lot of infrastructure to enable them, that requires more observability, which requires more infrastructure...