If someone missed that: it returned a wrong answer even in the demo video.
Oh cool! A search engine that’ll give you fake URL’s!
Cool, so the worst part of modern search engines has been made into its own standalone search engine. Very neat.
I don’t get the hype around LLM, it is a terrible way to search. It has never give me anything useful on any of my search, ever.
Most of the time asking chatgpt anything non-trivial, it will just spit out gibberish that doesn’t mean anything.
Who in their right mind would look at these terribly stupid thing and think: Yeah! This garbage is going to advance humanity.
I don’t get the hype around LLM, it is a terrible way to search
I’ll be playing devil’s advocate here just for a moment (despite the huge ecological, moral, political and economical costs) :
- what LLM does provide is a looser linguistic interface. That means instead of searching for exact words, one can approximately search for the “idea”. That means instead of hitting just the right keywords that an expert might know, one can describe a partial solution, a very rough guess of what the problem might be, and possibly get a realistic sounding answer. It might be wrong yet it might still be a step in the right direction.
So… yes I also don’t think the hype is justified but IMHO it’s quite clear that providing a solution that makes an interface easier to get some OK-looking result would appeal to masses. That means a LOT of people get their hopes up about potential empowerment and a few people ride that bubble making money on promises.
PS: for people interested in the topic but wanting to avoid the generative aspect I believe https://en.wikipedia.org/wiki/Semantic_search is a good starting point.
That would be great if they just got the LLM AI out of real search engines.
Only a matter of time until someone genuinely puts glue on their pizza
I hope it’s using a shit load of energy, like other “AI” stuff. Because we’re absolutely not in a climate crisis where reducing consumption is necessary. More “AI” that consumes more power, that’s exactly what we need.
GPT: Because nobody in their right mind would waste nukes destroying the Internet.
I have kind of just been using ChatGPT 4o as my search engine, it’s been working pretty well.
I wonder what the energy/environmental impact is vs a traditional search.
Completely terrible. An AI “search” takes as much electricity as hundreds to thousands of normal searches.
'AI" is TERRIBLE for climate change because they’re increasing demand for electricity so much that they’re keeping coal plants going that were even scheduled for decomissioning because they use A LOT of power.
I’ve been trying to find a search engine that doesn’t use AI for this very reason, but with little luck. Any suggestions?
Doesn’t DuckDuckGo not have AI?
Not to my understanding?
This can be resolved by building the data centers to cold countries like here in Finland. Servers are very good at converting electricity to heat, and the heat can be used to heat homes.
Microsoft Azure data center in Espoo is going to heat up 60% of the city’s district heating network.
Also the electricity here in Finland is one of the cleanest, like in all Nordics (hydro, wind, nuclear)
The electricity would be better spent on heat pumps. Computers convert 100% of their electricity into heat. Heat pumps convert 200-400% of their electricity into heat.
(I’m being lose with my wording for brevity’s sake)
Same (in some situations). I feel like searching for “how to do X?”, where X is a simple problem or knowledge, more often than not the classic search results are linking to articles that are way too long and talk around the solution way too much before actually getting to it (if at all).
Sure, I don’t trust the AI responses for critical stuff, but I honestly rarely trust a random blog article either.
I used perplexity pretty exclusively for a while. Especially for work. Both have their place and use cases but when I’m looking for something truly specific or nuanced, it’s DDG and a manual search.
So their solution to a problem that their existing problem created is to use that problem to solve itself.
