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共 34711 篇Opus 4.8 ARC-AGI-3 Replay
https://reddit.com/link/1ty3xhz/video/dzede49lhk5h1/player Link to the replay. What are everyone’s thoughts on this? I know the benchmark has gotten a lot of criticism for being “too difficult” from a scoring perspective, but after watching the replay, it honestly looks like the models just aren’t that close to solving it yet. I’m not saying the benchmark is perfect, but the failures don’t really look like minor scoring issues. They look more like the model still doesn’t understand the task well enough to complete it reliably. submitted by /u/ClickedMoss5 [link] [留言]
Cooling AI servers
Do you think there is a possibility of using sewage water to cool AI servers? submitted by /u/TippaMyClit [link] [留言]
Incorruptible by Eric Ries
Why good companies go bad and how great companies stay great Discussion | Link
Show HN: ABC Classic 100 Rankings visualised
This weekend is the ABC Classic FM countdown, which prompted me to dust off an old un-published data visualisation of rankings from previous years. I've considered adding a search function, but I also kind of like that it requires a bit of exploration in the current form. Some of the code is a bit clunky and I wouldn't mind refactoring it. I'm also not sure about browser compatibility - I've only got access to a couple of devices to test it on.
[Showoff Saturday] Website where you can browse DJ sets by city on a map
Been DJing for years and always wanted a way to explore what people are playing in specific cities. Couldn't find anything like that, so I had a crack at it. Click a country, pick a city, and browse DJ sets recorded there. Uses Mixcloud sets and you can browse and play them in browser. https://setatlas.app Happy to hear any feedback or suggestions. submitted by /u/Leather_Catch2136 [link] [留言]
Photo of a happy family: Oberon + Feng 🤧 😆😭❤️ AI
submitted by /u/Godi22kam [link] [留言]
As AI systems evolve could they really become conscious?
When debates about animal minds, conscious machines, and even fetal awareness spill into public life, the science behind those claims matters as much as the claims themselves. submitted by /u/Brighter-Side-News [link] [留言]
Finding a article about new algorithm on web rendering
Sorry to bother you guys, I just cannot remember or find about an article which about a developer find a new way to make thing faster on frontend (html or something) rendering about serveral months or last year. Anyone remember it? Please tell me. Thank you. submitted by /u/Full_Environment_205 [link] [留言]
I made a website that let's you edit any supported image on the internet for free
I've been building an image editor that basically lets you edit images, on the fly. Just paste the URL, and you can start editing the image pretty much instantly. Essentially removing the need to download, upload etc. It's very convenient for those who want to quickly make edits. Completely free to use, no login or signup required to use. You can see it here: canvix.me I officially got approved for by google for my official chrome extension, which allows you to right-click any supported image on the internet (png jpg webp etc), Edit image with Canvix option. Right away, you can start editing the image. You can see how it works by screenshot posted on the chrome extension page https://chromewebstore.google.com/detail/edit-image-with-canvix/akjooicgafjjcnpjdfnaajkipciedbco I especially made this for users who constantly need to edit images like me. This in beta testing still, any feedback would be greatly appreciated to improve it. submitted by /u/Filerax_com [link] [留言]
Building letterbookd
i deleted my earlier post because yeah, it sounded too ai/slop. fair criticism tbh. english is not my first language, so i used ai/translation to explain the project better, but it made the whole thing sound fake and too polished. my bad. so i’ll try to explain it myself this time. so, pardon the wording... i like tracking what i read. i like ratings, reviews, shelves, seeing what other people are reading, making lists, all that stuff. but goodreads always feels weird for me to use. not because the idea is bad, actually the idea is great, but the app/site feels old, messy and not really social enough for something that supposed to be about taste. so i started building my own book tracking app. it’s called Cilt (NOT CLIT!!!!!!!!) for now: https://cilt.app/ the basic idea is kind of “letterboxd for books”, but i know that sentence is overused as hell. what i mean is, i want logging books to feel simple and a bit fun, and after some time your profile should feel like an archive of your reading taste, not just random database list. right now / planned features are: - log the books you read -rate and review them -make shelves like reading, want to read, favorites etc. -create public lists -follow other readers -see what people with similar taste are reading -discover books from reviews/lists, not only generic ratings -track reading goals and stats -search books by title, author, isbn, publisher -have a profile that feels more personal i know there are already apps for this. i’m not saying i invented the wheel or anything. my problem is most alternatives either feels too old, too plain, or they don’t really have the social/taste part that makes letterboxd or even steam fun. also fyi: i didn’t use vibe coding for the whole project. i used it mostly on the frontend side, and when i use it i prefer to say it openly. it’s still very early, so feedback would be really useful. especially from people who still use goodreads even they hate it, or people who tried storygraph/fable
🔥 withastro / flue - The sandbox agent framework.
GitHub热门项目 | The sandbox agent framework. | Stars: 4,519 | 126 stars today | 语言: TypeScript
How I Use Website Issues to Stand Out in Cold Email
I do web design and my preferred way of getting clients is through cold email because it doesn’t cost money like paid ads, I don’t need to sit there dialing all day, and it allows me to scale my agency while keeping most of it automated. The main thing that helped me stand out in crowded inboxes was changing the way I do outreach. Instead of sending generic emails like “Hey I noticed your website is outdated, I can redesign it for you,” I do something different. I get leads with websites, run full website analysis at scale, and turn issues in design, layout, SEO, and mobile optimization into personalized outreach messages automatically. So instead of sending random spam, the email actually points out things that could be improved on their website without me even needing to manually check every site myself. This method has helped me book way more meetings and scale further than before because the emails actually stand out and feel relevant. I feel like this is a much smarter way to do outreach since it feels personalized while still being fully automated. For anyone wondering, no it’s not some custom built workflow. I use a tool called Swokei for it. I looked for this type of outreach system for a long time and it’s the only tool I found that combines website analysis and personalized outreach in one place. submitted by /u/Murky_Explanation_73 [link] [留言]
I Built a Native macOS Tool to Improve Cloud Gaming Stability
Cloud gaming on macOS has improved a lot over the last few years, but I kept running into the same issues: random ping spikes, micro-stutters, Bluetooth latency, and network interruptions caused by background system services. Instead of tweaking settings manually every time I launched a gaming session, I decided to build a small native macOS utility to automate the process. The result is CloudBoost. The Problem When troubleshooting cloud gaming performance on macOS, I noticed that many issues weren't caused by internet speed. Even with a fast fiber connection, there were occasional interruptions caused by: Background wireless discovery services Network interface transitions Power management behaviors Input device acceleration Memory pressure during long gaming sessions These issues were small individually, but together they created a noticeably less consistent experience. The Approach Rather than creating another "system cleaner" application, I wanted something that would: Apply temporary optimizations only during gaming sessions Avoid permanent system modifications Use native macOS technologies Restore original settings when disabled The application focuses on automation instead of aggressive tuning. Building It CloudBoost was developed using: Swift SwiftUI Native macOS APIs UNIX system utilities already available on macOS The biggest challenge wasn't writing code. It was understanding which system behaviors actually affected cloud gaming and identifying changes that could safely improve consistency without creating side effects. Features Current functionality includes: Network optimization routines Temporary wireless service management Mouse acceleration controls Session-based optimization profiles Automatic restoration of original settings Native menu bar integration Automatic update checking through GitHub releases What I Learned One interesting lesson from this project is that performance optimization is often more about engineering decisions than programming c
I Tried to Fix a Vulnerability. A $1,400,000 AI System Said No. Twenty Days Later, That Vulnerability Cost $4,200,000.
This story was shared by a fellow developer on DEV who asked to remain anonymous. If you've got a story to tell — come find me. Your name won't appear anywhere. Based on real microservice security design patterns. About an engineer whose PR got blocked by an AI security system — he thought he was fixing a vulnerability. Turns out, someone had a vested interest in that vulnerability staying open. 1. $1,400,000 All-hands meeting. CTO James stood at the front, a number on the screen: $1,400,000 "This is what we're spending on security this year." He pointed at the number. "The biggest piece — right here." He clicked the remote. VoidSentinel's architecture topology appeared on screen. "VoidSentinel — an AI security platform. Integrated into our CI/CD pipeline. Starting today, every PR involving internal service-to-service calls — it reviews them automatically." The CEO didn't show up today. James didn't mention it. He looked straight at Mark — VP of Security. Mark took the mic. "VoidSentinel has been running in our pre-production environment for three weeks. It's caught 47 high-risk patterns. Zero false positives." He paused. " — Of course, some people might feel uncomfortable when their PR gets blocked. But this isn't personal. This is the security standard. " He wasn't looking at me. But I knew who he was talking about. 2. High Risk. Denied. The story started three weeks earlier. We had a payment service and a user service that talked to each other internally. They shared an old API key — one key across thirty-plus services, unchanged for five years. It wasn't that nobody knew. It just never made it to the top of the backlog. On Day 1, I opened a PR: add independent service-to-service auth between the payment and user services. Not much code — a new token exchange module, three call sites modified. Five minutes later, VoidSentinel's automated comment hit: "High-risk alert: Unauthorized internal access pattern change detected. This PR has been automatically rejected. C