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Same, especially when searching technical or niche topics. Since there aren't a ton of results specific to the topic, mostly semi-related results will appear in the first page or two of a regular (non-Gemini) Google search, just due to the higher popularity of those webpages compared to the relevant webpages. Even the relevant webpages will have lots of non-relevant or semi-relevant information surrounding the answer I'm looking for. I don't know enough about it to be sure, but Gemini is probably just scraping a handful of websites on the first page, and since most of those are only semi-related, the resulting summary is a classic example of garbage in, garbage out. I also think there's probably something in the code that looks for information that is shared across multiple sources and prioritizing that over something that's only on one particular page (possibly the sole result with the information you need). Then, it phrases the summary as a direct answer to your query, misrepresenting the actual information on the pages they scraped. At least Gemini gives sources, I guess. The thing that gets on my nerves the most is how often I see people quote the summary as proof of something without checking the sources. It was bad before the rollout of Gemini, but at least back then Google was mostly scraping text and presenting it with little modification, along with a direct link to the webpage. Now, it's an LLM generating text phrased as a direct answer to a question (that was also AI-generated from your search query) using AI-summarized data points scraped from multiple webpages. It's obfuscating the source material further, but I also can't help but feel like it exposes a little of the behind-the-scenes fuckery Google has been doing for years before Gemini. How it bastardizes your query by interpreting it into a question, and then prioritizes homogeneous results that agree on the "answer" to your "question". For years they've been doing this to a certain extent, they just didn't share how they interpreted your query.

We have batteries. But yeah, attacking the grid might be smart.

Just wait until all the venture capital OpenAi raised on a valuation that assumes they will singlehandedly achieve the singularity in 2027, replace all human workers by 2028, and convert 75% of the Earth's crust to paperclips by 2030 runs out, they can't operate at a loss anymore, and have to raises prices to a point where they're actually making a profit.

Okay, I'd be interested to hear what you think is wrong with this, because I'm pretty sure it's more or less correct. Some sources for you to help you understand these concepts a bit better: What DLSS is and how it works as a starter: https://en.wikipedia.org/wiki/Deep_Learning_Super_Sampling Issues with modern "optimization", including DLSS: https://www.youtube.com/watch?v=lJu_DgCHfx4 TAA comparisons (yes, biased, but accurate): https://old.reddit.com/r/FuckTAA/comments/1e7ozv0/rfucktaa_resource/

Isn't that arguably the nature of encryption, though? If you lose the key, you're SOL by design.

Domain or azure ad join is what I'm used to, but for personal machines and friends/family I do local accounts.