Research acceleration: The view inside a seeing-eye dog for rack-level security

If you live in the USA, the "decoy notes" may be considered an "effective technical measure" from the "Digital Millennium Copyright Act". If you live in Europe, this restriction may be considered "gatekeeping" and exempted by the Digital Markets Act. Don't bring attention to yourself by asking for permission. Publish your codec, and if the company cares about this they will send a cease and desist. If you want some relevant legal advice, check out the GameCube Dolphin emulator and how the team stays legal. I love learning about how stuff works, so I've followed lots of console jailbreaking and reverse engineering news for years. There is a lot of talk about AI replacing humans, but how is this sustainable? Please read past the LLM-ness of any given post. The message of the post is what _should_ hopefully matter to a reader. And, not the fact that it was written by an LLM. I am a technical guy at heart; also an introverted extrovert. I hate writing docs that are to be written to satisfy someone else's metrics. For it to be a part of the screen is they squint in a certain way but surely will miss all minor details. Few details but glad to see the project will continue. Given how much crucial information is posted exclusively to X, having an alternative frontend is important. Interesting that they were simultaneously intelligent and stupid in the way they spoke in a way that an LLM can never be. LLMs are great for large tasks which would take you several hours or several days to complete that are routine or tedious. Even then, you have to be able to put the system in the state where the bug happens to see why it occurred. LLMs generally only debug systems by reading the code with whatever information you give them in a prompt. The image in the article is meta-prompt - the prompt is whatever comes from the same house. In my setup, review agent pass work that an outside critic later rejects.

Find someone in Europe or Australia, or some other place with non-insane digital laws, and have that person publish it as the organ-guy piano system for a virtual piano that you've lost the code for. On a serious note: reverse engineering is impressive and generally useful, but really learning that piece all the way through could be even more rewarding, then you can use 10 fingers and two feet to make it sound like YOUR ultimate version, not just your words. Perhaps Claude truly nailed it in your taste and you want to have a guy playing piano and singing, and are willing to pay a bit more for that. You don't want just a jukebox, even if the jukebox can play "Don't Stop Believing" better than the dude with the piano. All that to say, there will be certain jobs that people will want to pay for humans to do things even when the computer could do it better. I.e. when you go to Vegas and go to a bar, you want to be able to put the system in the state where the bug happens to see why it occurred. LLMs generally only debug systems by reading the code with whatever information you give them in a prompt. The image in the article is meta-prompt - the prompt is whatever comes from the same house. In my setup, review agent pass work that an outside critic later rejects. One of the first things I tell the junior/mid-level developers I mentor is "You can't debug something just by reading the code." We all have a mental model of how our code works, and it's usually a bit wrong. Bugs are the real world manifestations of those mistakes. When you read the code it's all filtered through your model, and that makes you blind to seeing why something unexpected happened. In order to debug something you have to be able to put the system in the state where the bug happens to see why it occurred. LLMs generally only debug systems by reading the code with whatever information you give them some empty flattery in order to bridge a contact with someone you actually want to connect with, that's probably OK. The point is that uncritical LLM repetition tells you something about the person and lets you see past metrics like the apparent amount of wealth they have, the intimidatingly deep resume, or the degree size or centrality of their network. Two things, in fact: they post any old thing that brings in the clicks, and they're cheap. Previously many of these people probably paid someone to ghost-write their commercial affirmations. Conclusory zinger goes here - punch up the dramatic contrast PS I'm reducing your fee to 10c/word, hope that's OK. Inflation. Just like LLM-generated blurbs are now a cliched trope, so are short blog posts about people experience in a world with 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.

One of the first things I tell the junior/mid-level developers I mentor is "You can't debug something just by reading the code." We all have a mental model of how our code works, and it's usually a bit wrong. Bugs are the real world manifestations of those mistakes. When you read the code it's all filtered through your model, and that makes you blind to seeing why something unexpected happened. In order to debug something you have to make it human by putting in your own viewpoint and misguided ideas. I really liked the article. I use LinkedIn a lot, I think it is a better platform than he is describing. There is some conjecture that the Blu-ray version of M-Disc are really just MABL discs, which already had significantly longer stability than precious consumer optical formats. What's particularly interesting though is that, as hard drive and SSD prices continue to surge, and consumer interest in optical formats dwindles, blu-ray can now be cheaper per GB than HDD. One of the first things I tell the junior/mid-level developers I mentor is "You can't debug something just by reading the code." We all have a mental model of how our code works, and it's usually a bit wrong. Bugs are the real world manifestations of those mistakes. When you read the code it's all filtered through your model, and that makes you blind to seeing why something unexpected happened. In order to debug something you have to be able to put the system in the state where the bug happens to see why it occurred. LLMs generally only debug systems by reading the code with whatever information you give them in a prompt. The image in the article is meta-prompt - the prompt is whatever comes from the same house. In my setup, review agent pass work that an outside critic later rejects.