Hacker Newsroom for 26 May recaps major Hacker News stories, moving through papal ai encyclical, linux age check exemption, post google search, go rust.

1. Papal AI Encyclical

The next story is Magnifica Humanitas, a new encyclical from Pope Leo XIV that tries to frame artificial intelligence as a serious moral and political question rather than just another product cycle. The document argues that AI can be a valuable tool, but only if it stays subordinate to human dignity, the common good, and accountable governance, with special concern for concentrated private power and the temptation to let technical capability set society's direction by default.

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2. Linux Age Check Exemption

The next story is about California moving to exempt Linux from its planned age-verification law after a wave of backlash over the idea that operating systems should collect or infer users' ages. The news story says the amendment comes from the same lawmaker behind the original bill, and the practical effect is that open-source systems may get carved out while the broader policy remains intact.

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3. Post Google Search

The next story is a roundup of search alternatives built around the claim that Google Search is becoming something closer to an AI chat interface than the classic results page people are used to. The article points to several replacements and treats the shift less like a feature launch and more like a moment when users may finally be willing to pay for better search or switch to smaller engines with clearer incentives.

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4. Go Rust

The next story is a migration guide from Go to Rust, and the core argument is not that Go is bad at everything but that Rust becomes attractive when teams care more about correctness guarantees, control over runtime behavior, and tighter engineering tradeoffs. The guide is explicitly backend-focused and tries to map where Go and Rust overlap, where their design philosophies diverge, and when an incremental migration makes more sense than a rewrite.

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5. Eternal Sloptember

The next story is geohot's The Eternal Sloptember, which argues that widespread adoption of AI coding agents could end up being one of software engineering's most expensive self-inflicted mistakes. The post says agents are good at producing output that looks increasingly plausible, but not at reliably finishing hard work with the judgment, polish, and accountability that real programming demands.

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6. Slow AI Coding

The next story is Nolan Lawson's argument that AI can help write better code more slowly, if you use it as a review and iteration tool instead of a slop cannon. The post says the real strength is not blindly generating implementations, but using multiple models to surface bugs, challenge assumptions, and force a more deliberate quality bar before anything lands.

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That's it for today, I hope this is going to help you build some cool things.