AI 资讯

GitHub: Prompt-Logic-Gates-PLG Over the past few days, I've shared my research project Prompt Logic Gates (PLG) and received a lot of interesting feedback. Some people loved the idea, some were skeptical, and many raised valid questions. The most common reaction was: > "Natural language is already the abstraction layer. Why add logic gates?" That's a fair question. My goal isn't to replace natural language prompting. In fact, natural language remains at the center of PLG. The idea is to explore what happens when prompts stop being a single request and start becoming systems. The Problem When we write prompts, we're converting our ideas, requirements, constraints, and expectations into text. For simple tasks, this works perfectly. But as prompts grow, they often include: Multiple objectives Business rules Style constraints Context dependencies Exclusions Fallback instructions Tool orchestration At that point, prompts become harder to maintain. Contradictions appear. Priorities become unclear. Context gets mixed together. The prompt is still text, but the complexity starts to resemble a system. What is PLG? Prompt Logic Gates (PLG) is a visual prompt engineering experiment that explores whether prompts can be organized before being sent to an AI model. Instead of writing one giant prompt, users create prompt components and connect them using semantic logic gates. The AI then analyzes the graph and compiles a final structured prompt. How It Works AND Gate When multiple instructions exist, the system evaluates them against the current context and determines which instruction is more foundational. The higher-priority instruction is applied first. OR Gate When multiple options are available, the system selects the most contextually relevant option instead of blindly including everything. NOT Gate Defines exclusions and negative constraints. It explicitly tells the system what should not be done, reducing contradictions and ambiguity. Ask Questions Gate If the system detec

Interesting engineering write-up from Netflix on maintaining a real-time service topology in a large microservices ecosystem. The takeaway for me: observability isn't just about metrics, traces, and logs—understanding service relationships is equally critical as systems scale. Curious how others approach dependency mapping in production environments. https://netflixtechblog.com/from-silos-to-service-topology-why-netflix-built-a-real-time-service-map-0165ba13a7bc submitted by /u/mukeshsri369 [link] [留言]

Do you use the "Act as..." segment in your prompts? Do you think it's effective and why? I know it depends on the rest of the prompt, as well as the main goal, but i'm asking if it's working overall. submitted by /u/ObjectiveOrchid5344 [link] [留言]

Hi r/webdev ! I've been building my geography games site for a while now, and I just added a new game I wanted to share with you called Draw the Country . The idea is simple: you get a country name and a blank canvas, you sketch the border, and then the real outline slides over your drawing so you can see how close you got. You can play freehand, or draw with border anchors guiding you if you want it easier or you just want to learn. There's also a daily freehand challenge same country for everyone, every day. It's completely free. No ads, no sign-up. It's built with Nuxt, Vue, Tailwind, and Supabase. Check it out: https://www.geographygames.net/draw-country Any feedback is appreciated and I hope you enjoy it! PS: The video is recorded on my laptop so drawing with the trackpad is a bit tricky. submitted by /u/ExtremeMotor3772 [link] [留言]

Hello. I have launched https://devtools.aarushnaik.co.uk , a tool for developers to minimise the amount of tabs devs have open. It has a lot of frequently used tools like Regex Checker, JSON Formatters and lots more. It is completely free with no hidden costs (if you would like to support me, there is a Buy Me A Coffee button on the website). If you have any suggestions, please use the google form on the website to report bugs, give feature suggestions and more! Thanks, Aarush. submitted by /u/Extreme_Insurance334 [link] [留言]

With AI becoming part of almost everything now—work, business, investing, coding, spreadsheets, content creation, and more—I'm curious about real-world use cases. What's the one thing you use AI for regularly that has genuinely saved you time, made you money, improved your productivity, or solved a problem? Looking for practical examples rather than just "I use ChatGPT." What specific tasks have you automated or improved with AI? submitted by /u/Acrobatic-Shop4602 [link] [留言]

I built WebAIM — a fully browser-based recreation of AOL Instant Messenger, the chat app that defined the internet for a whole generation. Sign in with a screen name, build your buddy list, blast someone with a "lol brb," set a cryptic away message quoting your favorite band, pick a buddy icon, join a chat room, and actually talk to real people in real time — all with the authentic Windows 98 look, classic door-knock sounds, and every bit of the nostalgia. What's under the hood: - Real-time messaging powered by Firebase - Buddy lists, groups & online presence - Away messages with auto-reply (and the classic %n, %d, %t variables) - Buddy icons & editable profiles - Group chat rooms - The actual AIM sounds - Full Windows 98 desktop UI — taskbar, desktop icons, start menu, the works submitted by /u/RancidMilkMan [link] [留言]

Standard AI 3D generators (like Meshy or Tripo) are limited. They produce solid, monolithic 3D objects that look good but are practically useless, because: - Want to rig or animate it for a game? Can't easily do that, because it’s a dead, monolithic blob instead of a functional, modular asset. - Want to change the arm of a robot you generated? Regenerate the entire asset. - Want to edit something manually? The whole thing collapses because it's not actually structured. Free github project here: https://github.com/RareSense/Nova3D But you'll need to bring your own API Key (BYOK) Under the hood (if you're interested): It uses an LLM as a structured code compiler, instead of an image generator. It writes native Blender Python (bpy) code blocks that target specific nodes in the scene graph. The trick is that everything compiles through Blender's actual scene graph structures instead of pixel or point-cloud diffusion. Final export is a clean multi-part GLB with transform nodes and working pivot axes preserved. submitted by /u/mhb-11 [link] [留言]

The Kane Parsons' film Backrooms is expected to earn up to $90 million in its opening weekend after pulling down $38 million on Friday alone. That's not only above expectations, but absolutely obliterates A24's previous opening weekend record of $25.5 million for Alex Garland's Civil War. It's also a better opening day than The Mandalorian […]

Hey guys For my dog Viggo's 6th birthday, I got the idea to make a website as a celebration of him. It started with a couple of short animations, and then I just kept going because it was so much fun. The site is intentionally simple. No accounts, AI, or endless scrolling. Just a bunch of tiny looping moments. Tech-wise it's built with React, Next.js, SQLite, CSS Modules, and pixel art created in Aseprite. I'd love to hear what you think! submitted by /u/Individual_Health1 [link] [留言]

Sequence Flow Hi r/webdev , I've been shipping a series of updates to PostPilot over the last few releases (1.5.1 → 1.5.6). Main additions: Sequence Flow Build multi-request workflows from any collection Reorder execution steps Execute the entire flow with one run Useful for auth flows, setup requests, API testing, and repeated debugging workflows Command Palette Quick access to actions and navigation from anywhere in the workspace Collection Search Search kits, folders, and collections from the sidebar Supports method + name matching (e.g. get user ) Variable Extraction Extract values directly from JSON responses into workspace variables Automatically generates the JSONPath Desktop Improvements Auto Update support Close-app confirmation dialog Smarter table column width estimation Improved Sequence Flow collection loading Better responsive behavior in smaller windows Recent additions from earlier releases: MongoDB write operations JSON comparison mode SSL support for self-signed certificates Collection organization improvements PostPilot is a local-first API client, database client, and JSON inspector. Project: https://www.postpilot.dev Changelog: https://www.postpilot.dev/changelog Feedback is welcome, especially around Sequence Flow workflows and API testing use cases. submitted by /u/lactranandev [link] [留言]

Applied to this job. Googled the company, it's a real company. Fishy website but whatever. Got an email from the job posting to do a coding test. It's a google doc with open read access pointing to a figma file with open read access. It says to submit fully coded layouts to a random github user. That user profile is listed as located in Ukraine. If you go to company page on Indeed, it's unclaimed. Yet a person is messaging me via a job post associated with the unclaimed profile, leading me to believe it's the company. If you go to the company's real website jobs page, this job is not listed at all. Indeed in making it possible for people to easily impersonate companies and try to get free work, and who knows what else. STAY WOKE Link to google docs "test" https://docs.google.com/document/d/1lkbS_Mw655_fZbHuABLLQ9vyX5OhcWrO4o4_p53AH-0/edit?tab=t.0 Link to figma: https://www.figma.com/design/7SgqDtl84sAJisWNkZ41bP/Sample-Design?node-id=0-1&p=f&t=AcL8p49tCHnKvHfN-0 Link to git hub profile https://github.com/sharomet Real company's job page: https://lendingpad.com/lendingpad-corp-jobs submitted by /u/notgoingtoeatyou [link] [留言]

Prof G Markets (Live) Episode Title: Is AI Worth the Cost? The ROI Reckoning and the Coming Market Correction Location: The Castro Theatre, San Francisco, CA Hosts: Scott Galloway & Ed Nelson ED: We're going to talk about a topic not enough people talk about called AI. Nearly 50,000 workers have been laid off this year supposedly because of AI — that's almost as many as in all of 2025. For companies adopting AI, the thesis is simple: AI is supposed to do much of the work that humans do. In recent weeks, however, that thesis has hit a roadblock. More and more companies are reporting that despite the enormous power of AI, the technology is actually more expensive than the humans it is supposed to replace. Uber, for example, just blew through its entire 2026 AI budget in just four months. According to the COO, it is now getting harder to justify AI costs within the company. Microsoft is cancelling its Claude Code licenses across multiple divisions because it's simply gotten too expensive. And over at Nvidia, one executive said that the cost of compute is now "far beyond the cost of employees." Which all raises a crucial question for the AI industry: at what point does AI actually stop being worth it? This has blown up basically in the last 48 hours, with many companies coming out and saying they're not as confident about this whole AI thing as they used to be. ServiceNow is another company that just blew through their entire Anthropic budget. Technical staff at Stripe are reportedly spending nearly $100,000 on AI tokens every day. Salesforce is on track to spend $300 million on Anthropic tokens this year. Shopify said their earnings were "partially offset by increased LLM costs." We heard similar things from Meta, Spotify, and Pinterest. One Anthropic employee said his Claude Code bill came out to $150,000 in a single month. In some cases, it's getting very, very expensive. We've also seen an incentive — especially among tech companies — to use AI as much as possible.

The legacy book market and use of AI for this are going to be insane. Less than 1% of the US population writes a book. This is what AI is used for: to stop doing tedious stuff and actually do stuff that matters. https://preview.redd.it/fcn6d2t7ta4h1.png?width=2752&format=png&auto=webp&s=5ab6effcafc1e2156903d274f6a4411e53bd9d37 submitted by /u/jdawgindahouse1974 [link] [留言]

Cecil Baldwin's résumé includes appearances on Gravity Falls, narrating the documentary Scream, Queen! My Nightmare on Elm Street, and performing as part of the New York Neo-Futurists theater company. But he is best known as the host of the podcast Welcome to Night Vale, a long-running fiction show that blends macabre Lovecraftian horror with absurdist […]

Meta seems to be making big bets on AI-powered hardware.