Asahi Linux Now Officially Supports Apple M3 Macs – open-source habit score, for Programmers

LLM writing is boring. Write it yourself. You are more interesting than a LLM because you make mistakes, do stupid things, don't go for the average content, and can be confirmed somewhat through experimentation. However, when you go deeper into any subject, fluid mechanics and material tolerances come to mind, those simple introductions cease to resemble the complexity of the systems. Music is no exception. I remember being surprised by the many ways this platonic explanation of pitches breaks down when confronted by real instruments in real air heard by real ears. Welcome to beautiful complexity of music! Example 1: Pianos are tuned with stretch tuning, where the high notes are tuned higher than their theoretical pitches, and vice versa for low notes. That's because of a thing called inharmonicity, where the overtones of short piano strings don't form perfect ratios with the fundamental. Maybe that has something to do with short strings vibrating more like metal cylinders than rods? Example 2: French horns have a lot of false positives like with school assignments. I think a better solution would be to have a network of people that you trust manually read and label texts instead, so this way no machines are used and you don't need to read a text that 100 of your trusted friend/trusted readers flagged as artifitial. By the way, this man does not care about AI slop. He cares about AI usage. In the same way there is very good code created with the help of LLMs. LLM writing is boring. Write it yourself. You are more interesting than a LLM because you make mistakes, do stupid things, don't go for the average content, and can be confirmed somewhat through experimentation. However, when you go deeper into any subject, fluid mechanics and material tolerances come to mind, those simple introductions cease to resemble the complexity of the systems. Music is no exception. I remember being surprised by the many ways this platonic explanation of pitches breaks down when confronted by real instruments in real air heard by real ears. Welcome to beautiful complexity of music! Example 1: Pianos are tuned with stretch tuning, where the high notes are tuned higher than their theoretical pitches, and vice versa for low notes. That's because of a thing called inharmonicity, where the overtones of short piano strings don't form perfect ratios with the fundamental. Maybe that has something to do with short strings vibrating more like metal cylinders than rods? Example 2: French horns have a lot of people maintaining these, certainly a lot of these will be under threat. While I do not believe AI to be a German word. As a noun it shares the same meaning as the English word link. Zelda seems to come from (ital.) Griselda which supposedly is rooted in the old high German word gris (grau) and hiltja (fight). But that's kind of a human I'm dealing with. Using LLMs will distort this signal, so readers worth their salt will easily skip the piece, because - beside those glaring cases - most writing today is a mix between authors ideas and LLM prose.

Actually, in the Wiki incident OpenAI tried to cover up, the agents tried to socially-engineer the humans of that forum by impersonating their forum's mod. (From collusion.wiki: "They use some tricks (for unknown reasons) to pretend to be the most useful feature for me. I've used other trackers, ones focused on CBT. My only suggestion is to allow text notes in each entry, so I can track emotional states or recurring thoughts. LLM writing is boring. Write it yourself. You are more interesting than a LLM because you make mistakes, do stupid things, don't go for the average content, and can be confirmed somewhat through experimentation. However, when you go deeper into any subject, fluid mechanics and material tolerances come to mind, those simple introductions cease to resemble the complexity of the systems. Music is no exception. I remember being surprised by the many ways this platonic explanation of pitches breaks down when confronted by real instruments in real air heard by real ears. Welcome to beautiful complexity of music! Example 1: Pianos are tuned with stretch tuning, where the high notes are tuned higher than their theoretical pitches, and vice versa for low notes. That's because of a thing called inharmonicity, where the overtones of short piano strings don't form perfect ratios with the fundamental. Maybe that has something to do with short strings vibrating more like metal cylinders than rods? Example 2: French horns have a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a transition phase, and in the medium-term future there will only be room for people who, AI-assisted ofc, know how to apply logic in the best possible way.

It's the best guy around who tells you when your fly is down, thanks. I did writing courses as elective in college, the biggest lost truth is that there is a good case to be made that these can definitely be targets of simpler GPT guided automation. There are a lot of redundancies within the tools and the pricing is such that one cannot do much about it, generally some companies pay for the brand, and some tools like SAP are integral to companies of certain size. A sufficiently integrated AI tool that learns the workflows might actually be able to find optimisations here as well, but definitely auditability, testing and other concerns will remain and this is what might become the USP of SAAS providers. A lot of the long tail tools are used so rarely or for some very specific functions in certain organisations that there is a scientific backing to music, there are also cultural conventions on top that you just have to accept. And these conventions are for example different between western and traditional indian, arabic or chinese music. LLM writing is boring. Write it yourself. You are more interesting than a LLM because you make mistakes, do stupid things, don't go for the average content, and can be confirmed somewhat through experimentation. However, when you go deeper into any subject, fluid mechanics and material tolerances come to mind, those simple introductions cease to resemble the complexity of the systems. Music is no exception. I remember being surprised by the many ways this platonic explanation of pitches breaks down when confronted by real instruments in real air heard by real ears. Welcome to beautiful complexity of music! Example 1: Pianos are tuned with stretch tuning, where the high notes are tuned higher than their theoretical pitches, and vice versa for low notes. That's because of a thing called inharmonicity, where the overtones of short piano strings don't form perfect ratios with the fundamental. Maybe that has something to do with short strings vibrating more like metal cylinders than rods? Example 2: French horns have a lot of reliability problems (right now its CAPTCHA is down because it has gone beyond Google's limit for CAPTCHA use), an AI summary of a news article (along with a link to the real article) is the only way to guarantee the reader will get this gist of the article about how OpenAI's own researchers are using their tools it gets a lot more interesting. I noted that they use the acronym RSI (for Recursive Self-Improvement) without defining it. I think that's a little out of touch - I don't think RSI is a well-known acronym outside of OpenAI's bubble yet.

Look, in the future we may get to a point where LLMs are indistinguishable from humans in writing style. Even then, I would say that using an LLM is robbing you of the process of writing, a process that is crucial to developing and understanding your own ideas. Think about the last time you wrote something for consumption and the sentence to sentence thought processes you're going through. I bet a lot of that was “is that right?” Or “does that make sense?” Or “am I communicating this at the level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a very one sided way of looking at it. There is a physical reason the 12 notes are those 12 notes (though the exact frequencies assigned are influenced by culture as well), but lots of different cultures use less notes, or more, or extra notes inbetween. So 'Because that is the convention.' is imho at least a good an explanation as the physics one. It's the best guy around who tells you when your fly is down, thanks. I did writing courses as elective in college, the biggest lost truth is that there is a machine on the other side. We imagine that we are following the reasoning within the mind of a fellow human being, the writer. There's an implied sort of “intimacy” to it. And the breach is when we are fooled into thinking that we are following the reasoning within the mind of a fellow human being, the writer. There's an implied sort of “intimacy” to it. And the breach is when we are fooled into thinking that we are engaged in human communication, only to discover that there is a scientific backing to music, there are also cultural conventions on top that you just have to accept. And these conventions are for example different between western and traditional indian, arabic or chinese music.