Sensei

Except that it's not a Polish doughnut. Because Polish doughnut don't have holes in them. They look like this, for example: It's hard for them to have holes when they're filled with jam or cream inside.. The jam can be rose, currant, cherry, cream chocolate, vanilla, pistachio, etc. Rose jam is the most popular. Here is the procedure for making them: https://www.instagram.com/reel/DUGgJuLCF47/ Statistics show that 45-55% of all doughnut sold are filled with rose jam.

Apple has created their own ARM processors.. https://en.wikipedia.org/wiki/Apple_M1 Intel and Apple never played on this play field. Microsoft's Window Server edition has 20% of web server market, and Linux has 80%. These statistics can be easily falsified, because you can run a VPS with Linux on a Windows server.. Statistics are generated by bots that access websites. A database is built based on the server's response. However, it doesn't have to be a real server, but a VPS, which can be run in Docker on both Linux and Windows (which are the actual host OSes of this dedicated server). As a result, you receive only information about a VPS and not about a real dedicated server. Notice difference between enterprise vs customer market.

Indeed, a great movie. An hour well spent. From what perspective should I comment on this? He made a lot of mistakes, starting with that 500ms absurd delay that started the whole investigation. Everything was overcomplicated to the point of absurdity and not tested enough in real life (hence the memory leak). Fedora holds a small share of the desktop Linux market between 1% and 4% of total Linux usage. Fedora test and rolling, a fraction of Fedora. So it didn't work out globally. So the effects of this backdoor were very limited. An attempt that failed. You won't hear about the attempts that were successful... ;)

He is making mutually exclusive statements?

Both Android and iOS are modified Linux kernels that have had a lot of functionality removed and replaced with something else. You can partially or fully reverse this. Without rooting, partially. With rooting, entirely. Since you say you have a Samsung, start by downloading Termux. I recommend the versions from F-Droid: https://f-droid.org/pl/packages/com.termux/ It does not require rooting, but rooting your phone can be a game-changing solution. Unfortunately, you might have trouble typing on a Samsung phone with a Samsung built-in keyboard, so I recommend using the Google keyboard for the first run after installation. Then use 'nano .termux/termux.properties' (notice dots) and enable line with 'enforce-char-based-input = true' nearly the end of the file. i.e. remove hash (#) After that you can go back to Samsung keyboard. Restart Termux. You should be able to work normally (just like on any Linux terminal). ps. If you have a bricked Samsung i.e. PIN & password protected, Face-ID protected, Google account protected (FRP), bootloop etc., I can help you resurrect it.. All Linux kernels older than 2021 have a critical bug that allows you to gain administrator privileges without knowing any password. Due to limitations and modifications, this particular bug does not work on Android and iOS. ..watching your video now.. The bug in XZ from 2024 had no significance. Someone introduced a backdoor to the app, but people didn't install the update globally. It was only in test and rolling versions. It didn't reach the stable versions because it was detected. The vulnerability I mentioned earlier was experienced by everyone from 2011 to 2021 (or they still have it if they can't update the system). ps2. Hacking Linux is incredibly easy if you have physical access to the machine. Much easier than hacking Windows with physical access,

https://en.wikipedia.org/wiki/Liar_paradox

ChatGPT has 400 GB of GPU memory. At least 5 nVidia cards, each with 80 GB of video memory. In practice, you need a little more because you also need KV, etc. That's where those 100 billion parameters come from (100 billion x 4 bytes for IEEE-754 32-bit float = 400 GB) Do you have access to such equipment? NVIDIA H100 (PCIe) $25,000 - $30,000 NVIDIA A100 Approximately $10,000 - $15,000 Wrong. LLM models (except for Grok, from what I've heard), have a context window. They don't know what's outside that window. They only process what's inside the context window. This is expressed in tokens. English word = 1-2 tokens. Programming 1 character = 1 token. After chatting with ChatGPT for a few hours, ask it, “What was the first question I asked you today during this session?” It will respond with something found in the middle or bottom of the entire chat window. Grok stores the session on the GPU. If the internet connection is interrupted (this is not visible, it may be due to the browser or another factor), Grok releases the GPU for other users. As a result, I cannot ask Grok any question that refer to previous ones. It does not know what we were talking about a second ago. I was using Firefox on Linux. You may have had a different experience, but from my point of view, Grok is useless. After all, these are the effects of what we discussed in another thread about the US education system in the early stages of education. When you learn selectively, you have selective knowledge on basic topics. At university, there is no time to fill in the gaps after years of mediocrity.

This one is real: https://www.youtube.com/@Volonaut

I think you're confusing autism with psychopath/sociopath.. There were cases of mental illness/disabled in this family: https://en.wikipedia.org/wiki/Nerissa_and_Katherine_Bowes-Lyon

In your cursory research, you missed the key word, namely, enterprise vs. consumers. Statistics indeed show that Claude (Anthropic's LLM the biggest product, which is not research model) is used more often in enterprise. But the price of its tokens can be nearly 10 times higher than the price of ChatGPT and Gemini tokens, so if its market share is expressed in dollars and not queries, it doesn't really reflect the true percentage of the amount of electricity used to generate the responses. What are these enterprise LLMs mainly used for? I think it's for programming, office support, answering customer questions on store websites, replacing human call centers and store support. It's easy to conclude that these will be marginal uses of LLMs compared to the consumer market (as there are 8 billion potential users worldwide). ChatGPT answers 2.5 billion questions daily. Claude (Anthropic) market share both enterprise and consumer markets merged: https://fatjoe.com/blog/claude-ai-stats/ If the above is not enough: Enterprise: https://www.google.com/search?q=llm+by+market+share+enterprise vs Consumer: https://www.google.com/search?q=llm+by+market+share+consumer ps. If we don't know how this market share is calculated - whether in dollars, the number of queries, or the number of tokens processed - it can significantly distort our understanding of these statistics. If something costs $10, 10 times more than the competition, then clearly in dollar-based statistics, it will have a higher percentage than those offering it for $1. And mislead us.

You always come up with this nonsense when you're out of arguments. So let's look at the LLM statistics. ChatGPT 64.5%, Google Gemini 21.5%. 64.5+21.5=86% of the LLM worldwide market. Grok 3%. 86+3=89%. Are you all okay? I don't understand what you wrote here. I didn't write about any hypothetical things. Datacenter = the place where these LLM questions are processed. If ChatGPT (64.5% of the world market) runs on Azure, and Microsoft claims that Azure is 100% renewable, this means that 64.5% of the world's LLM runs on renewable energy. https://datacenters.microsoft.com/globe/powering-sustainable-transformation/ Same with Google Gemini. So 86% of LLMs are on renewable energy. Repeat with smaller models.. It is physically unprofitable to have a data center without renewable energy.

ChatGPT does not have their own servers- they use cloud in 3rd datacenters. LLM mentioned by the OP is Google one, so it is in Google Cloud datacenters.

Irrelevant (and untrue as I pointed it out) to this thread were your words that LLM/datacenters has a negative impact on the climate. When each data center has its own solar panels and wind farm, their impact on the climate is zero. So please do not mislead people with your false statements.

Nonsense. This is an analysis of what happens to your energy from any electronic device (such as a server in a data center) after it's done these calculations. The heat from the light bulb or the heat from the server can be used at a later stage.

ps2. By buying LEDs instead of lightbulbs you don't save at all - the "wasted" energy from them heated your house, so you paid less for heating..