non-disparagement clauses doing a lot of heavy lifting here
HN user
lucasay
learning new things.
Cool idea, especially the plugin security angle, but WordPress’s real strength is its ecosystem. That’s going to be hard to replicate.
RPKI makes BGP safer, not safe. It helps prevent some hijacks, but attackers can still mess with routing paths. Feels like we’re patching a trust-based system rather than fixing it.
“More neurons = intelligence” always felt like an oversimplification. If that were true, we wouldn’t be surprised by birds or octopuses anymore.
“Just use OPNsense” is great advice for production, but terrible advice for learning. This article is valuable precisely because it shows how little magic is actually involved in routing.
IPv6 isn’t that compelling on a simple home network, but avoiding NAT and easier end-to-end connectivity are pretty real advantages.
Petitions don’t do much on their own, but they’re often how pressure starts. And ‘not European issues’ feels off when these companies operate globally anyway.
The pill tabs are what get me too. I can ignore most visual changes after a while, but those somehow manage to feel both more distracting and less informative at the same time.
Not sure how to feel about this. Does this mean ARM is slowly moving from just licensing IP to actually competing with companies building on top of it?
Partially—but science also questions the hypothesis and the metric. This mostly assumes both are correct and just optimizes within that box.
This feels less like automated research and more like structured trial and error with a decent feedback loop. Still useful, but I think the real bottleneck is how good your eval metric is. If that’s weak, the whole loop just optimizes for the wrong thing faster.
Feels less like malice and more like people just not thinking about others. Still, on a plane you’re stuck for hours—rules like this make sense.
The goal seems to be breaking the real-time guidance scammers rely on. 24h probably works, but it feels like a heavy tradeoff for legit users.
I’m more curious about how robust this is against modern systems. A lot of newer facial recognition models are trained on occlusions, masks, and heavy makeup — so this might be less effective than people assume.