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Google will now verify if you're a human by turning on your webcam and asking you to wave your hand
(docs.cloud.google.com)
this post was submitted on 20 Jun 2026
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Technology
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Bruh
I think such an all-or-nothing mindset is exactly why people are staying on megacorp services. Besides, Mistral is much more transparent about its data collection, unlike Google, which makes you disable all chat history if you want to prevent training on your inputs.
All-or-nothing mindset people usually do not comment because they want to be helpful. They are a nuisance.
What do you use AI for?
Finding sea lions.
To block trolls on the internet.
I'm genuinely engaging with the other comments but go off.
What is your use case for LLMs?
My mindset is all-or-nothing because I have yet to find a use for LLMs. Enlighten me, please.
AI chats are pretty good for finding leads on unknown unknowns when researching something new. Maybe it's just because of how much worse search engines are now but theyre also pretty good for troubleshooting when you don't have good keywords to narrow down the search effectively.
I see where you're coming from and agree that modern search engines are trash. Have you tried the alternate search engines suggested in the first comment? I would personally try those first I suppose.
Reducing the user's cognitive abilities seems to be the main use of LLMs so far.
I generally favor local LLM usage, but I will sometimes use Kagi's assistant tools. I trust them to throw out my data a fuckton more than I do Google.
A locally run LLM is a different story, one that I'm slightly more open to, but "trusting" any corp is how we got here. To me degoogling isn't just about moving away from Google but about removing myself from any nonessential service and limiting the data I share with essential services.
I also just plain don't know what I'd use any LLM for.
PewDiePie has been on a tear lately with recommending everybody switch to Linux and recently experimenting with LLMs. He put out a legit good local LLM project that showcases the different kinds of things you can do with a model.
My biggest LLM use cases have been:
I think needing multiple searches and sources is a good thing, personally. Yes it takes more time and effort but it reinforces research skills. Performing the search yourself provides an opportunity to critically evaluate the information you're finding and, if applicable, take into account any bias a source may have.
Can't comment on code generation.
I suppose it depends on the Linux difficulty but reading through documentation and ArchWiki typically gets me enough info to make a more informed/refined search. You're also likely to stumble across information you'll want to know rather than just find an answer to the question you're asking.
Your responses are the equivalent of "I don't use the internet, because nothing beats the experience of walking to your library and looking through the research material yourself".
Sure, I can do all of those things. But, sometimes I don't want to spend hours going through the searches, bang my head against the wall with useless tech forums, and get frustrated with shifting through the results. The LLM can get it done in a minute or two, and I can still ask follow-up questions if I don't trust anything, or want clarification.
And yes, like Wikipedia, I still review the sources and review the code.
No, my responses are literally "AI answers, legwork teaches." If you don't understand or appreciate that difference you are doing yourself a disservice.