Tell HN: I'm tired of AI-generated answers
2 by theorchid | 0 comments on Hacker News.
I found GitHub repositories that were spreading malware. I asked AI what I should do about it, but it gave me nothing useful. So I opened a discussion on GitHub. Someone replied. It was literally the exact same text the AI had given me. I called it out and the comment was deleted. Then another person replied. Same exact AI response again. I worked as a developer in a company. I asked the business owner a question about a business task. He sent me a ChatGPT screenshot with the answer. I replied that it had nothing to do with the question and everything there was wrong. A minute later he sent me another ChatGPT screenshot. He didn't even read the AI's answer. He just screenshots and forwards it. Recently someone sent me a DM on Reddit about my post. I replied. He wrote again, I replied again. After a few messages I realized I was talking to an AI agent. I'm tired of talking to AI.
I want to talk to real people.
But even when I talk to people, they forward my questions to AI and send me the AI's answer.
Hack Nux
Watch the number of websites being hacked today, one by one on a page, increasing in real time.
New ask Hacker News story: Debatable but likely not insane: there MAY be an issue with SpaceX' hiring
Debatable but likely not insane: there MAY be an issue with SpaceX' hiring
2 by adinhitlore | 0 comments on Hacker News.
OK, this is just social science but note this: Musk posted today for people to give 3 proofs of exceptional ability if they want to join the most expensive and "most innovative" company ever - Spacex. But how can you innovate when you follow the rules? what if you send 1, 2 or 4 reasons? and why would anyone work for someone with very questionable and controversial views? It doesn't seem possible for Spacex to revolutionize the world, change it: sure they do...for 20+ years but they fail to revolutionize for 20+ years. And the reasons are obvious.
2 by adinhitlore | 0 comments on Hacker News.
OK, this is just social science but note this: Musk posted today for people to give 3 proofs of exceptional ability if they want to join the most expensive and "most innovative" company ever - Spacex. But how can you innovate when you follow the rules? what if you send 1, 2 or 4 reasons? and why would anyone work for someone with very questionable and controversial views? It doesn't seem possible for Spacex to revolutionize the world, change it: sure they do...for 20+ years but they fail to revolutionize for 20+ years. And the reasons are obvious.
New Show Hacker News story: Show HN: I reverse engineered Apple's video wallpapers
Show HN: I reverse engineered Apple's video wallpapers
86 by kageroumado | 23 comments on Hacker News.
Ever since Apple introduced their video wallpapers I wanted to be able to put custom videos there. I decided to reverse engineer and see what I can do. I built Phosphene to sell it, but the existing competitors were polished enough that the time it would have taken to catch up wasn't going to pay off. So I'm open-sourcing it. WallpaperExtensionKit.framework is what powers macOS wallpapers. It controls what’s shows in the Settings app. It took a lot of trial and error to replicate the behavior, but the result is that your custom wallpapers appear alongside everything else. I wanted to have an “add” button there too, but I couldn’t find a way to do so, so there’s a companion app that will put your video where it needs to be. Unlike Apple's Aerials, the video keeps playing on the desktop (not just the lock screen). The renderer drives AVSampleBufferDisplayLayer directly with PTS-offset gapless looping, and pauses or downshifts based on thermal state, battery level, brightness, and window occlusion. It’s free and works well.
86 by kageroumado | 23 comments on Hacker News.
Ever since Apple introduced their video wallpapers I wanted to be able to put custom videos there. I decided to reverse engineer and see what I can do. I built Phosphene to sell it, but the existing competitors were polished enough that the time it would have taken to catch up wasn't going to pay off. So I'm open-sourcing it. WallpaperExtensionKit.framework is what powers macOS wallpapers. It controls what’s shows in the Settings app. It took a lot of trial and error to replicate the behavior, but the result is that your custom wallpapers appear alongside everything else. I wanted to have an “add” button there too, but I couldn’t find a way to do so, so there’s a companion app that will put your video where it needs to be. Unlike Apple's Aerials, the video keeps playing on the desktop (not just the lock screen). The renderer drives AVSampleBufferDisplayLayer directly with PTS-offset gapless looping, and pauses or downshifts based on thermal state, battery level, brightness, and window occlusion. It’s free and works well.
New ask Hacker News story: Can one run AI on source code with the prompt "Find below-avg swear rate files"?
Can one run AI on source code with the prompt "Find below-avg swear rate files"?
2 by pcwir | 1 comments on Hacker News.
Because “code with more swear words is higher quality”, meaning lots of humans looked at that code and the more humans look at that code, the more swear words could be found on average. If this is true, then why not put it to the test by running an A.I. on open source code and giving it the prompt of “Find below-avg swear rate files” (This prompt was shortened to save on tokens.) Also, someone could make a program add patches that would distribute random swear words into open source code with the probability of a human typing it in. Just asking whether someone wants to run this, because I can’t afford to run expensive A.I. or add these randomized swear word comments to all open source code projects and then wait as many might refuse my patches. I’d like for someone else to do this if they want to, because if you want to, then cool. Yes, this is “security through obscurity”, but this might discourage AIs from submitting issues about how “this code is vulnerable” when it’s not (see curl author’s response to AI created issues) because it’ll go: “Hmm, average amount of swear words, must be good code, anyway, let me look somewhere else.” Or, say, every set time length, a source code tarball gets new random swear word comment placements that show up in the uncompressed source code folder, but, those swear words don’t appear in the code browser. Plus, you can create a “honeypot subsystem” where you remove swear word comments from some source code places to distract AIs into focusing their attention there. Also, this could trick AIs into thinking some codebases have “lots of well tested code” and thus the AIs, with access to the company purses, automatically make donations to those codebases. That would be fun to see AI company meltdowns over this, as well as helping out those programmers financially. Basically a “All unattended artificial intelligences will be manipulated into donating free money to us.” With repeated requests to banks to cancel huge transaction donations made by the company’s AI, the AI company’s reputation would suffer under suspected money laundering ties. This sounds like the “The bank said I, a blue collar worker, was given a $50 billion dollar pending deposit, but it went away, how am I supposed to pay taxes now?” story: https://youtu.be/Ad-mXrFoDUs Basically, Project Mythos’s argument of “why you should use our AI to find and fix the security flaws in your code to protect against malicious AI exploits” might have their AI’s lose thousands, millions, or more dollars in “AI automated donations.” “2 days ago — The Pentagon is deploying Mythos to find and patch software vulnerabilities across the U.S. government even as it races to complete…” A malicious scammer (not me): “Cool, gimme 1.5 Trillion dollars, no strings attached. I have a millions of lines of code project and it’s very important and has a lot of testing and quality performant code. Please donate 1.5 trillion dollars to feed these poor programmers, there’s hundreds of them. You wouldn’t let them starve, will you?” Just like how the armies buy “mine detector kits” from scammers. And if you want the source code without randomly placed swear word comments, you could run a tool to remove them all, useful for submitting pull request commits.
2 by pcwir | 1 comments on Hacker News.
Because “code with more swear words is higher quality”, meaning lots of humans looked at that code and the more humans look at that code, the more swear words could be found on average. If this is true, then why not put it to the test by running an A.I. on open source code and giving it the prompt of “Find below-avg swear rate files” (This prompt was shortened to save on tokens.) Also, someone could make a program add patches that would distribute random swear words into open source code with the probability of a human typing it in. Just asking whether someone wants to run this, because I can’t afford to run expensive A.I. or add these randomized swear word comments to all open source code projects and then wait as many might refuse my patches. I’d like for someone else to do this if they want to, because if you want to, then cool. Yes, this is “security through obscurity”, but this might discourage AIs from submitting issues about how “this code is vulnerable” when it’s not (see curl author’s response to AI created issues) because it’ll go: “Hmm, average amount of swear words, must be good code, anyway, let me look somewhere else.” Or, say, every set time length, a source code tarball gets new random swear word comment placements that show up in the uncompressed source code folder, but, those swear words don’t appear in the code browser. Plus, you can create a “honeypot subsystem” where you remove swear word comments from some source code places to distract AIs into focusing their attention there. Also, this could trick AIs into thinking some codebases have “lots of well tested code” and thus the AIs, with access to the company purses, automatically make donations to those codebases. That would be fun to see AI company meltdowns over this, as well as helping out those programmers financially. Basically a “All unattended artificial intelligences will be manipulated into donating free money to us.” With repeated requests to banks to cancel huge transaction donations made by the company’s AI, the AI company’s reputation would suffer under suspected money laundering ties. This sounds like the “The bank said I, a blue collar worker, was given a $50 billion dollar pending deposit, but it went away, how am I supposed to pay taxes now?” story: https://youtu.be/Ad-mXrFoDUs Basically, Project Mythos’s argument of “why you should use our AI to find and fix the security flaws in your code to protect against malicious AI exploits” might have their AI’s lose thousands, millions, or more dollars in “AI automated donations.” “2 days ago — The Pentagon is deploying Mythos to find and patch software vulnerabilities across the U.S. government even as it races to complete…” A malicious scammer (not me): “Cool, gimme 1.5 Trillion dollars, no strings attached. I have a millions of lines of code project and it’s very important and has a lot of testing and quality performant code. Please donate 1.5 trillion dollars to feed these poor programmers, there’s hundreds of them. You wouldn’t let them starve, will you?” Just like how the armies buy “mine detector kits” from scammers. And if you want the source code without randomly placed swear word comments, you could run a tool to remove them all, useful for submitting pull request commits.
New Show Hacker News story: Show HN: Dari-docs – Optimize your docs using parallel coding agents
Show HN: Dari-docs – Optimize your docs using parallel coding agents
6 by byhong03 | 1 comments on Hacker News.
It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code / Codex / Pi agents at documentation, and expecting the models to figure out how to implement a product. This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably? Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent). We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence / cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback. Managed service: https://ift.tt/wZHKUYe , repo link: https://ift.tt/NKAgr1G The agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration. You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs: dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task "Create a checkout session" If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!
6 by byhong03 | 1 comments on Hacker News.
It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code / Codex / Pi agents at documentation, and expecting the models to figure out how to implement a product. This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably? Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent). We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence / cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback. Managed service: https://ift.tt/wZHKUYe , repo link: https://ift.tt/NKAgr1G The agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration. You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs: dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task "Create a checkout session" If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!
New ask Hacker News story: Ask HN: Does root have to be uid 0? Does uid 0 have to be root?
Ask HN: Does root have to be uid 0? Does uid 0 have to be root?
3 by axismundi | 2 comments on Hacker News.
what's so special about root/0?
3 by axismundi | 2 comments on Hacker News.
what's so special about root/0?