AI 资讯

This isn’t totally about AI. It’s about technical writing in the age of AI. I have some thoughts on this and I hope it’s helpful to you humans reading. Technical Writing in the AI Age originally handwritten and published with love on CSS-Tricks . You should really get the newsletter as well.

Host, share, and track everything your AI builds Discussion | Link

I’ve been reading GPU architecture docs in my free time. NVIDIA PTX, AMD ISA reference guides, Intel Xe, reverse-engineered Apple GPU stuff. Over 5,000 pages across 16 microarchitectures. After a while you notice all four vendors are doing the same 11 things with different names. So I wrote a spec that covers all of them and built a toolchain around it. It’s called WAVE. You write a kernel once, it compiles to a portable binary, then thin backends translate it to Metal, PTX, HIP, or SYCL. Same binary verified on Apple M4 Pro, NVIDIA T4, and AMD MI300X. My co-author Onyinye built PyTorch integration and got identical training results across all backends. Please star on GitHub: https://github.com/Oabraham1/wave Preprint: https://arxiv.org/abs/2603.28793 Read full docs and how I built everything: https://wave.ojima.me pip install wave-gpu submitted by /u/not-your-typical-cs [link] [留言]

Everyone keeps saying things like “networking is the most important thing for getting a job” or “build your LinkedIn network,” but almost nobody explains how to actually do it. I’m not even talking only about getting referrals or jobs. That’s obviously a bonus. What I really want is to build a genuine network with other developers, people who are learning, building projects, sharing ideas, experimenting with technologies, and maybe even collaborating on things together. Right now, I feel kind of lost in the endless ocean of tutorials. I’ve built some projects, learned different technologies, and improved my skills, but I still don’t feel like I have a clear direction or connection to an actual developer community. So I wanted to ask people who’ve successfully built a network online: What platforms actually work best for this? LinkedIn? Reddit? X/Twitter? Discord? GitHub? How do you approach people without sounding fake or transactional? What kind of content or posts help you connect with like-minded developers? Is “building in public” actually useful, and if yes, how do you start? How do you go from being just another silent profile to someone who’s genuinely part of a community? How do you find people to collaborate with on projects or learn together? I’d especially appreciate advice from people who started with zero connections and slowly built meaningful relationships online. Would love to hear your experiences, mistakes, or things that actually worked for you. submitted by /u/Loud_Dragonfruit_154 [link] [留言]

Article URL: https://www.reuters.com/business/spain-blocks-prediction-markets-polymarket-kalshi-over-lack-gambling-licences-2026-05-26/ Comments URL: https://news.ycombinator.com/item?id=48279316 Points: 1069 # Comments: 502

WebAssembly started as a technology tailored to web browsers and is becoming popular as a server-side technology as well. The next step is for Wasm to become a powerful tool for cloud-native applications. When combined with Kubernetes, WebAssembly can revolutionize application deployment, security, and resource efficiency in ways traditional containers cannot. submitted by /u/goto-con [link] [留言]

The Fitbit Air is a serious rival to Whoop and other screenless wearable trackers thanks to its solid hardware, comprehensive software and competitive pricing.

This is the first post of series Building TinyAgent where we are going to build a small agent from...

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A reality check on the AI jobs hysteria Despite the growing hysteria over AI’s threat to white-collar jobs, there’s still scant evidence that the technology has had a large-scale impact on…

Platform Engineering Labs has announced a major update to its open-source Infrastructure-as-Code platform, formae, introducing full Kubernetes support, native Helm integration, direct .tfvars compatibility, and a new public plugin hub aimed at simplifying cloud-native infrastructure management By Craig Risi

Give your AI the power to make phone calls Discussion | Link

Looking for communities where people actually dig into ML/AI research, not hype, not "look what I built with an LLM API," but discussions about papers, training dynamics, debugging real models, infra problems, that kind of thing. I'm specifically interested in places where you can post something like "I'm seeing X behaviour in my SSL training, here's the loss curve, anyone seen this before?" and get thoughtful replies instead of generic advice. submitted by /u/Possible-Active-1903 [link] [留言]

An acoustic regulation system for dogs Discussion | Link

Article URL: https://www.theverge.com/transportation/937116/uber-ai-investment-hard-to-justify Comments URL: https://news.ycombinator.com/item?id=48277485 Points: 303 # Comments: 156

InfoQ expands its online certification portfolio with new AI Engineering and Organizational Architecture cohorts, giving senior practitioners a confidential peer group to pressure-test production AI, platform, team design, and architecture decisions. By Artenisa Chatziou

Add voice and video calling via your coding agent Discussion | Link

Joseph Stein discusses engineering an enterprise AI-as-a-Service platform within a private cloud data center. He explains how to maximize underutilized GPU pools via multi-namespace scheduling, leverage Valkey and Lua for atomic priority queuing and backpressure management, mitigate OWASP Top 10 LLM risks via central proxy gateways, and scale batch pipelines using a custom S3-to-Kafka proxy. By Joseph Stein

This article explores Kafka's transition toward a cloud-native architecture, examining how tiered storage, FinOps telemetry, elastic consumer scaling, virtual clusters, and Share Groups reshape the operational and economic model of event streaming platforms. It also analyzes emerging diskless-storage proposals and their architectural trade-offs. By Viquar Khan