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Internet Freedom is Here: FreeSocks v2
Americans hate AI so much that politicians are losing their jobs over it
Amazon's Adaptive Display for Fire TVs is officially rolling out today
Amazon's Adaptive Display accessibility feature for Fire TVs is officially rolling out today
Opaque, Interoperable Passkey Records (and a Go API)
Show HN: A Job Board for European Defence Companies
Threading on Thin Ice: Demystifying the .NET ThreadPool and avoiding starvation
submitted by /u/Happycodeine [link] [留言]
Stop Blaming QA and Start Diagnosing the Hidden Inefficiencies
Cloudflare Internal DNS is now generally available – The Cloudflare Blog
Trump’s latest AI czar has already resigned
The director role for the Center for AI Standards and Innovation (CAISI) has become a revolving door since David Sacks left his position as czar.
Here are the 30,000 songs Sony is suing Udio’s AI music generator over
Sony Music Entertainment has filed another lawsuit against Udio, accusing the AI music generator of infringing the copyright of more than 30,000 of its songs, ranging from Elvis Presley's Hound Dog to Beyoncé's Say My Name, and Harry Styles' As It Was. The lawsuit, filed in a New York court on Monday, claims that this […]
The FCC is planning to retroactively ban disguised DJI gadgets
Last October, we told you how the FCC had given itself the power to retroactively ban gadgets that have already received its approval to be imported and sold in the United States. Now, the FCC's getting ready to wield that power for the first time, by cracking down on the "DJI front companies" suspected of […]
Fretengine: Visualize chord and scale relationships on the guitar fretboard
Firefighting drones in the works as wildfires plague US nearly year-round
California and XPRIZE competition tests whether drones can stop wildfires early.
The first UL 3700-compliant plug-in solar microinverter is now available in the US
It's a step toward making alternative energy accessible on a smaller, renter-friendly scale.
The Odyssey turned me into an IMAX believer
After seeing Christopher Nolan's The Odyssey for the first time early last week, I came away impressed, but somewhat conflicted about two of the film's more fantastical set pieces. While those scenes were beautifully crafted and tremendously acted, there was something a little bit off about the way they hit my eye. I spent days […]
I built a test lab to measure SSG vs SSR vs ISR on real WordPress, here's what I found
Most "SSG vs SSR vs ISR" content out there is written from documentation. Someone reads the framework, restates it, and you're left inferring the actual difference in performance and behavior. So I built a lab where you can just run the commands and see it yourself, no table to trust blindly. astro-wp-seo-lab builds the same WordPress content four different ways with Astro 7.1.1, then serves all four side by side so you can compare them directly. git clone https://github.com/nimajafari/astro-wp-seo-lab npm install npm run compare That builds each arm into its own directory and serves them all at once. arm url what it is ssg-full http://localhost:4301 everything prerendered at build time ssr http://localhost:4302 rendered per request, no caching ssr-cdn http://localhost:4303 per request plus CDN cache headers route-cache http://localhost:4304 per request plus Astro 7 route caching islands http://localhost:4305 static shell with deferred fragments Every page has a black bar at the top showing which arm rendered it and when. That timestamp is the instrument for most of what follows. First build takes a few minutes since each arm fetches from WordPress, later builds are faster because the Content Layer loader caches between them. It ships pointed at a live WordPress install (oxyplug.com), but it works against any public WordPress site with the REST API exposed. npm run probe -- https://your-site.com --save mysite SOURCE = mysite npm run compare probe checks what your own install actually exposes, REST API reachability, Yoast presence, permalink structure, then saves it under a name. Use the URLs npm run compare prints for your own site instead of the ones below, since those are generated from your own content. Build time vs request time This is the distinction most of the SSG vs SSR debate hinges on, and it takes about 30 seconds to see for yourself. Open these two side by side and reload each a few times. http://localhost:4301/optimization/crl-ocsp-certificate-revocati
US imposes new 50% tariffs on some Canadian products
Designing an Ethernet Switch ASIC
Your Application Is Ready... According to Whom?
Over the past few years, AI has fundamentally changed how software gets built. Teams can go from an idea to a working application in a fraction of the time it used to take, and founders can create products with resources that would have been unimaginable just a few years ago. That's an incredible shift, and I think it's one of the most exciting changes our industry has seen. What hasn't changed, though, is the question that comes after the application is built: Is it actually ready? Throughout my career, I've been involved in delivering enterprise software across many different industries and organizations. One thing I've learned is that there isn't a single definition of what makes an application "ready." If you ask six different stakeholders whether a system is ready, you'll probably get six different answers—and they're all likely to be valid. That's because each person is looking at the software through the lens of the outcome they're responsible for: A founder may be wondering whether the application can handle the growth they're hoping for over the next year. A CTO is often focused on where the biggest technical risks are and what should be improved first. An engineering leader is thinking about production readiness, security, reliability, and operational support. An agency inheriting a client application wants to understand what they're taking ownership of before making commitments. An acquirer is trying to estimate the cost of technical debt An Investor wants confidence that the technology is creating long-term value rather than future expense. Those perspectives are different because the questions they're trying to answer are different. The challenge is that we often evaluate all software the same way. Traditional assessments tend to focus on the health of the codebase. They look at architecture, security, maintainability, testing, complexity, and technical debt. Those are all important, and they should absolutely be part of any technical review. But they'r