Honestly, this feels like a long-overdue cleanup. The outline algorithm always sounded good on paper, but in practice, it just created confusion - especially when different tools and screen readers treated headings differently.
Dropping the UA styles makes things more predictable: <h1> means <h1>, no matter where it lives. Yeah, the partial rollout across browsers is going to be rough - debugging across inconsistent browser behavior is going to be a nightmare. Still, if this pushes devs to rely less on implicit styling and more on their own structure, they can now take control of heading semantics more properly.
I’ve noticed the same contrast - technical writing from LLMs often needs trimming for clarity, but creative writing can lean too far into either bland or overly flowery language.
Most LLM benchmarks lean heavily on fluency, but things like internal logic, tone consistency, and narrative pacing are harder to quantify. I think using a second model to extract logical or structural assertions could be a smart direction. It’s not perfect, but it shifts focus from just “how it sounds” to “does it actually make sense over time.” Creative writing benchmarks still feel very early-stage.
LLMs are amazing for technical research or getting a quick overview and a clear explanation without clicking through ten links. But for everyday searches — checking restaurant hours, finding recent news, digging into niche forums, or comparing product — search engines are still way better.
I don’t think it’s a matter of one replacing the other — they serve different purposes.
Super cool project. The block mode on the 3151 was way ahead of its time — kind of wild how it handled forms locally like that. Love the idea of hooking it up to a mainframe via your translator. Also yeah… we really need to bring back spiral cables.
Self-improving AI could accelerate innovation, but it also raises questions about control and safety. How do we ensure these models evolve in a way that aligns with human values?
Pretty impressive. Minecraft’s a complex environment, so for an AI to figure out how to find diamonds on its own shows real progress in learning through exploration — not just pattern recognition.