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开源项目 Reddit r/webdev

overwatch.earth - My newly released project

I wanted to do something entirely different than my normal, meet overwatch.earth Explore the world through a fully interactive 3D globe with real-time feeds from over 150,000 sources. Track live events as they happen—from earthquakes and satellite movements to live webcams, global transportation networks, and digital infrastructure. submitted by /u/tuxxin [link] [留言]

/u/tuxxin 2026-06-06 22:40 10 原文
开发者 The Verge AI

82-0 is the best basketball game, to hell with NBA 2K

82-0 marries the stat nerd fun of fantasy basketball with instant gratification and a bit of dumb luck. The goal is to draft a team of players that could (theoretically) have a perfect 82-0 season. Obviously, if you just had free rein to pick whoever you wanted from throughout history, there would be little challenge. […]

Terrence O’Brien 2026-06-06 22:30 9 原文
AI 资讯 Reddit r/artificial

How difficult would it be to recreate GPT-4

Back in '24, there was a story about GPT-2 being run on excel https://arstechnica.com/information-technology/2024/03/once-too-scary-to-release-gpt-2-gets-squeezed-into-an-excel-spreadsheet/ How hard/$/time would it be to recreate GPT-4 (or equivalent)? GPT-4 was released in '23, since then there have been more/better chips, etc. Is this something a competent S&P500 company could do on its own? submitted by /u/tjdogger [link] [留言]

/u/tjdogger 2026-06-06 22:21 6 原文
AI 资讯 Reddit r/artificial

Help me understand AI a bit more because I don't think AI is as bad as everyone says.

Now I myself have not used AI a ton beyond making a funny picture or two on ChatGPT/Gemini and maybe asking it a few things on the fly if I need a second opinion on something - and sometimes it's been helpful. The biggest thing I hear from the "Fuck AI" crowd is that it ruins the creative circles like artists, authors, etc. because it copies their work. I sympathize with their hate, but I've heard an argument that it's not doing anything different than what we do when/if AI didn't play a role in anything: look at other people's work for inspiration then create something. Like we can't create a song in a vacuum, we need to learn and be exposed to music theory, notes, other styles of music, instruments, etc. So someone starting a band didn't make something brand new, it took pieces from other artists. And the part that makes me sing AIs praises, so to speak, is its use in the medical field. Doctor Mike posted a video about a year ago talking about this. Like, if it's improving healthcare to the point that it's detecting life threatening things to help doctors treat and cure us more effectively and efficiently, why are we trying to get rid of it? Maybe that's not what people are saying when they want AI gone or saying how 'awful' it is, but I just hope we don't end up throwing the baby out with the bathwater with AI because I genuinely think it's an astonishing thing that's clearly helpful in certain circles. submitted by /u/SeaGlass_7 [link] [留言]

/u/SeaGlass_7 2026-06-06 22:09 6 原文
AI 资讯 The Verge AI

Meta made its own AI-generated clickbait news feed

Facebook has long been filled with feeds of clickbait articles. Now, Meta is making its own clickbait articles with AI. The standalone Meta AI app now has a "For You" section that populates a list of clickbait-style stories for you to read. But the topics, images, and text are all AI-generated - and as questionable […]

Robert Hart 2026-06-06 22:00 7 原文
开发者 Reddit r/webdev

A new stack for turning HTML and CSS into an application layer

Hi all, About three years ago I built a small library called Trig.js to expose scroll data to CSS via data‑attributes. It recently got highlighted as one of the “Enterprise Heavyweights” of scroll animation libraries by CSSAuthor, which made me revisit the idea. I’d always planned to make a Cursor.js, so I built it and then I started wondering, what else could be exposed to CSS variables? That question spiralled into something bigger, and I’ve now ended up creating a full stack of small, browser‑native libraries that all share the same philosophy: Once I reached Keys.js, something clicked. Keys aren’t animation, they’re input. That led to the bigger question, could you build full applications or even games this way? The answer turned out to be yes, and that’s when I came up with State.js. For the first time, here’s the full stack together: Trig-js - exposes scroll data to CSS Cursor.js - exposes mouse/touch position Motion.js - a global clock for CSS‑driven animation Keys.js - exposes keyboard input State.js - a reactive state layer for HTML Gravity.js - a DOM‑element physics engine rendered in CSS Together, these for a declarative application/game engine using the native browser without webGL, webGPU or canvas. Your HTML is your state graph, the CSS is your rendering engine and JS becomes the wiring that connects everything up. These libraries all work independently or together. As every one of these open up capabilities that wasn't possible before that's why they are all individual so you can pick or choose or use them altogether for a complete stack. A few months ago I wouldn’t have believed half of this was possible in the browser without heavy abstractions. It’s made me realise how much capability we’ve historically hidden behind frameworks instead of exposing directly. I’m excited to share this approach and would love to hear your thoughts, ideas, or critiques. If you’re curious about browser‑native reactivity or CSS‑driven rendering, I’m happy to dive deeper.

/u/iDev_Games 2026-06-06 21:50 5 原文
AI 资讯 Reddit r/programming

The Architectural Teardown: Why Machine Learning Fails Against Game Randomization (And Why We Killed Behavioral Telemetry)

For over a decade, the standard approach to bot mitigation has relied on a fundamentally flawed premise: tracking every micro-movement a user makes. The industry standard "invisible" CAPTCHAs ingest your mouse curves, touch pressure, scrolling behavior, and browser history to calculate a "human score." At Conversion.business , we took the opposite approach. We built a zero-telemetry, privacy-first Gamified CAPTCHA platform that tracks no behavioral interactions. Instead, we rely on a mathematically rigorous Game Randomization Strategy and a strict cryptographic handshake. Here is the architectural teardown of why standard machine learning fails against our engine, and why discarding behavioral telemetry actually increases security. The Flaw in "Invisible" Telemetry Standard CAPTCHA systems rely on security through obscurity. They collect massive amounts of user telemetry and run it through proprietary risk-analysis models. This creates two massive problems: The Privacy Tax: You are forcing your users to surrender behavioral biometric data just to log in. The ML Training Loop: If an attacker can reverse-engineer the "human" mouse-curve threshold, they can train a bot to inject fake cursor paths. Once the model is trained, the security layer is completely compromised until the vendor updates their algorithm. The Conversion.business Approach: Zero Telemetry Our OopsSDK does not track mouse movements, touch pressure, or cross-site cookies. We rely on a lean, transparent Verification Signature that collects only: solveTimeMs : The exact duration from puzzle initialization to completion. webglFingerprint : Hashed hardware renderer info. userAgent : To identify known headless browsers. How do we stop bots without tracking behavior? By attacking the core requirement of machine learning: predictability . The Game Randomization Strategy Machine learning models, specifically reinforcement learning and computer vision bots, require a predictable environment to train effectively

/u/Kate_from_oops-games 2026-06-06 21:18 5 原文