The only thing Gemini is good for is bringing up sources that don’t appear in the regular Google search results. Which only leads to another question: why are those links not in the regular Google search results?
That’s an interesting thought. I would wonder if there’s too much change/movement in the ai models, and would think that we won’t see something like that until there’s more stability, or one of the ai models comes out on top of all the others. Right now you’d have to optimize for half a dozen different models, and still be missing a few ‘popular’ ones.
I find the same with perplexity. It’s more of a search assistant in finding some sources that a search engine likely wouldn’t. Sometimes it’s summarized answers are accurate, sometimes it’s a jumble of several slightly unrelated sources.
I’ve genuinely been wondering what the hell the average googler has been up to in the last 5 years. They’re killing services, barely developing new features or hardware, and have been talking for so long (as in, they were genuinely at the forefront) about AI and how they’re in a unique position to make the most out of data, AI, services, and hardware, then failed spectacularly to keep that advantage, and even more spectacularly to keep up.
I guess they just found some other, more profitable way to exploit that unique position, than to care about the people using their products.
isn’t it? all this tech advancement over the past half century, followed billions of dollars of investment on a tech that wastes a monumental amount of energy and water to give you the wrong answer to questions even the most basic calculators can answer.
Hilarious that Gemini is so bad. Not like Google had a good starting position on internet search
The only thing Gemini is good for is bringing up sources that don’t appear in the regular Google search results. Which only leads to another question: why are those links not in the regular Google search results?
My only guess is that they’re trying to see if de-enshittifying results for AI can make it profitable
I was talking about this with a webdev buddy the other day, wondering if webmasters might start optimizing for AI indexing rather than SEO.
That’s an interesting thought. I would wonder if there’s too much change/movement in the ai models, and would think that we won’t see something like that until there’s more stability, or one of the ai models comes out on top of all the others. Right now you’d have to optimize for half a dozen different models, and still be missing a few ‘popular’ ones.
I find the same with perplexity. It’s more of a search assistant in finding some sources that a search engine likely wouldn’t. Sometimes it’s summarized answers are accurate, sometimes it’s a jumble of several slightly unrelated sources.
Infinite money, all the data on the internet, and nothing to show for it. I wrote about my experience with Gemini assistant for people who enjoy suffering.
I’ve genuinely been wondering what the hell the average googler has been up to in the last 5 years. They’re killing services, barely developing new features or hardware, and have been talking for so long (as in, they were genuinely at the forefront) about AI and how they’re in a unique position to make the most out of data, AI, services, and hardware, then failed spectacularly to keep that advantage, and even more spectacularly to keep up.
I guess they just found some other, more profitable way to exploit that unique position, than to care about the people using their products.
Amazing
isn’t it? all this tech advancement over the past half century, followed billions of dollars of investment on a tech that wastes a monumental amount of energy and water to give you the wrong answer to questions even the most basic calculators can answer.