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by andai
31 days ago
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When Bard (now known as Gemini) first came out in Europe, I think mid 2023, I tested it out. AI search was still a new thing in those days, and I was excited to see what Google's solution would be like. I had high hopes. I asked it a question I knew the answer to. It searched the web, and told me the opposite of the truth. (Not nonsense, but a logical inversion of the actual fact. A common failure mode with earlier LLMs.) Puzzled, I checked the sources. It cited two. Both AI SEO slop. Bizarrely, I Googled it myself and couldn't even find those pages on Google. Maybe it was using a different search engine? ;) |
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BTW, as critical as I can be to AI, using an argument that something didn't work 3 years ago, so it must be crap, doesn't work in this context. 3 years ago, AI could barely generate several lines of consistent code. Now, it generates working apps with a prompt (it's another discussion how good the code is, but still).
I guess 3 years ago, Gemini couldn't tell how many r's are in the word refrigerator.
Same for research. At some point, I switched from ChatGPT and Gemini to Perplexity as it promised AI-powered search. It worked visibly better. Until it didn't, as GPT and Gemini models made a leap.
Back to the point, as long as we understand that, for now, it's all just a probabilistic machine generating the most likely output, no one should expect bulletproof answers. Search was/is way more deterministic than LLMs.