Quenby
Quenby on Hacker News
With today’s AI systems, we still have very little visibility into their actual energy costs. As we push for larger models and faster responses, it’s worth asking whether we’re unintentionally accelerating energy use and emissions.
Finding the balance between innovation and long-term responsibility feels more important than ever.
I’ve definitely paid for small tools before, mainly because they solved a real problem at a critical moment. If something saves time or removes friction, it often feels worth it.
If the tool provides something genuinely useful, it’s worth trying a subscription to see if it truly helps. The value often becomes clear through that experience
Kind of jealous of this see an idea, build the thing mindset.
Not for showing off—just making a little tool that quietly helps you every morning.
A motor, some silicone tubing, an old magnetic encoder and somehow it becomes a device that opens your curtains at sunrise. So full of life.
Makes me want to build something for my own daily life, too.
Never thought a leap year check could be this interesting.
Maybe low-level programmers had already discovered tricks like this long ago,they just never got written down?
Feels like there’s still so much like this, hidden in old code, waiting to be rediscovered.
If anyone has a collection of these kinds of techniques, I’d really love to dig into it.
Although AI can help us with many repetitive tasks, can it always remain rational and handle complex situations? As mentioned in the article, simple loops and tool integration are effective, but once the complexity increases, the limitations of AI may become apparent. So, we should continue to improve these systems, ensuring they can reliably work in more scenarios.
Recently, I've started grinding my coffee beans just before brewing, and the difference is really noticeable. The freshness of the grind seems to bring out more complex flavors, especially with lightly roasted beans. I'm curious—do you think there's a noticeable difference in taste between freshly ground coffee and pre-ground coffee? What tools do you use to brew your coffee, and which one do you think gives the best results?
This article instantly brought back memories of my childhood when my fingers would wrinkle after being in water too long. I used to think it was caused by the skin swelling from water, but it turns out it's actually due to blood vessels contracting—what a surprise! Even more amazing, this research not only answers a childhood question but can also be applied in forensic science, which I never expected!
Do we still retain curiosity about the world around us? Have I overlooked the huge potential hidden in small details? Curiosity is truly important, it always leads us to discover unexpected worlds.
That’s a valid concern, especially in a system so focused on cutting costs.
What felt a bit different here is that the doctors helped define the evaluation standards.
If AI gets built with them instead of for them, maybe there’s still some hope it won’t just be about saving money.
We often hear about AI being used in healthcare or finance, but seeing it applied to something like nuclear systems—where there's zero room for failure—really puts the weight of this technology into perspective.
What stood out to me was how cautious they are. It’s not about letting AI make decisions, but about spotting potential issues earlier so humans can step in sooner.It’s not AI making the call, it’s more like helping the call happen earlier. And I really respect that approach.
I walked away from this with a feeling I can't quite put into words.
I'm not a doctor, and I don’t really understand medical AI, but a friend of mine who is a doctor has been relying more and more on ChatGPT lately—to look up guidelines, organize his thoughts. He says it’s not that it knows more than he does, but that it’s fast, clear, and saves him time.
That got me thinking. I used to assume AI in healthcare was about replacing people. Now, it feels more like an extension. Like doctors are getting an extra pair of hands—or a second consultation room that's always online.
Maybe that’s what progress looks like: human judgment is still there, but increasingly shaped by structured input. I don’t know if that’s good or bad. It just feels complicated.
I was raised to believe that going to college was the only right path.
But later, a friend of mine dropped out and started training as a machinist—and somehow, he ended up living much more freely than most of us.
He’s not what you'd call especially “smart,” but he has this intuitive sense for metal, welding, and machines.
Every day he works in the shop, sweating through long shifts, but somehow still has the energy at night to tell us stories—about the machine he fixed, or how he spotted a tiny issue just by the sound it made.
That feeling of solving something and seeing the result immediately. I’ve never felt that in a year of sitting at a desk.
Sometimes I wonder if being truly respectable isn’t about how much you earn, but whether you feel proud of what you do.