AI 资讯

Virtual Coffee has always been a free, volunteer-led developer community supporting the tech community since 2020. We host small-group coffees, challenges, learning opportunities, and community spaces where folks can ask questions, find encouragement, share job leads, get support, and build relationships with other people in tech. For many members, Virtual Coffee has been more than another Slack group or online event. It has been a place to feel less alone while learning, job searching, changing careers, growing as a developer, or navigating the tech industry. And we want to always keep it free. That matters to us because our members are in many different seasons of life, employment, financial security, energy, and capacity. We never want cost to be the reason someone cannot participate. Right now, though, Virtual Coffee is struggling to cover the basic costs that keep the community available. Over time, sponsorships and individual contributions have declined. We have reached out to people and companies, covered costs ourselves when needed, and worked to reduce expenses by lowering tool costs, reviewing what we can remove or replace, and building more of our own infrastructure. We are close to covering the basics, but not quite there. We are also being realistic about capacity. Virtual Coffee is volunteer-led, and we are very aware of volunteer burnout. We are not promising a big relaunch, a burst of extra programming, or a sudden expansion. Our immediate goal is simpler: stabilize the basics so Virtual Coffee has room to thoughtfully plan for a sustainable future. If you believe free, welcoming developer communities matter, we would be grateful for your support. You can help by sponsoring Virtual Coffee through GitHub Sponsors . Even a small monthly contribution helps. One-time contributions help too. You can also help by sharing our GitHub Sponsors page with someone at your company who supports developer communities, open source, learning, DevRel, or community pro

This is Lowpass by Janko Roettgers, a newsletter on the ever-evolving intersection of tech and entertainment, syndicated just for The Verge subscribers once a week. Severance. Pachinko. Silo. Ted Lasso. Over the past couple of years, a number of Apple TV shows have become hits with audiences and critics alike. And yet, compared to the […]

So long and thanks for all the cool new video games.

tl;dr: I'm looking for a visual HTML builder - not a design tool, but something that specifically builds code Hi everyone, I feel the need to explain before anything, why I'm looking for this. Pls read the explanation before coming for me with "why don't you just write HTML and CSS normally, what's wrong with you". I've been a dev for 12+ years, mostly specializing in complex software. Give me a design system, business requirements (not even a fleshed out plan) and I'll give you something that works and is futureproof, as much as I can predict the future anyway. In all of that, I've always struggled with writing full pages with HTML and CSS. I find it hard to keep the whole context in mind and I've never come up with a way to structure it sensibly. Frameworks like Tailwind CSS drive me nuts because why do I need to memorize specific classes instead of just writing CSS? Anyway, that's not the point. Recently I realized that I need to diversify my service offering, and therefore start offering more of these custom built websites. But now I'm running into my personal limitation of being trash at HTML/CSS. AI isn't much help here because Claude Code is absolute garbage in implementing designs, and I'm not paying for 3 different AI subscriptions - that would work against my goal of making money. So now I'm looking for a more visual HTML and CSS editor. Design tools like Figma are one thing, but I'd like something that is made for people who know HTML, but just don't want to write it themselves. The workflow I imagine is something like this: I start with a blank slate. It prompts me to add fonts, colors and other foundational design system elements. This would set CSS variables. From here I can proceed to create pages or complete the design system with other components (buttons, inputs, etc) Each page contains common elements (header, footer, sidebar, whatever) + a blank area for me to drag and drop elements into. As I use the elements, I should be able to set classes, id

Woot is hosting a small, but welcome deal on the Nintendo Switch 2 through June 19th. New customers can save $15 on the $449.99 console with the code NEW15 used at checkout. Sure, these are microscopic savings, but come September, the Switch 2 will rise in price to $499.99, so any deal is worth telling […]

The Weather Company announced an "enhanced allergy experience" now available through its The Weather Channel app designed to help allergy sufferers better understand when their symptoms might flare up, and what's causing them. While the app already provides static pollen counts, its "Health & Wellness" section is being expanded to take into account other factors […]

Alt Carbon said the agreement followed more than a year of scientific review and due diligence, with Microsoft requiring additional verification and data-sharing measures.

We learned some new details about the upcoming revival for the classic 3D platformer.

submitted by /u/Foreign-Swan4271 [link] [留言]

It feels like just a couple of years ago, using AI for everyday tasks still felt like something new or even a bit weird. Now it seems like a lot of people are using it without thinking twice, whether for writing, learning, brainstorming, or just quick answers. I’m curious how others see this shift. Do you think AI has become normalized quicker than most people predicted, or does it still feel like a big deal to a lot of users? submitted by /u/NoFilterGPT [link] [留言]

submitted by /u/aarshie [link] [留言]

I’ve been thinking about a support automation story I read recently. A team replaced a simple rules engine with an LLM classifier. The model was around 92% accurate. Sounds good. Until you realize that at 100 tickets a day, that’s roughly 8 mistakes every day. The interesting part wasn’t the accuracy though. It was what happened when the model was wrong. Nobody could explain why a ticket was classified a certain way. Nobody could point to a specific rule. Nobody could quickly fix the behavior. The team eventually started reviewing every classification manually. The automation was still running, but the trust was gone. That got me thinking. A lot of discussion around AI agents focuses on making decisions better. Better prompts. Better models. Better reasoning. But I rarely see people discussing what happens after the decision. How is the decision verified? How is it audited? How do you know an action should actually be executed? Maybe the biggest challenge for AI agents isn’t getting from 92% to 96%. Maybe it’s building systems that people can trust when things go wrong. Curious how others are thinking about this. submitted by /u/docybo [link] [留言]

Scale across AI models without scaling your bill Discussion | Link

The new chatbot, called Ask DoorDash, allows users to search the app for what they're looking for in their own words instead of having to scroll through restaurants and stores to build a cart.

One API for WhatsApp: messaging, calling, and AI agents Discussion | Link