

I wouldn’t call that “doing a good job”. If they were doing a good job, they would disambiguate Machine Learning from Generative AI. I don’t know that they’re doing this intentionally, but i would definitely appreciate that distinction being made.


I wouldn’t call that “doing a good job”. If they were doing a good job, they would disambiguate Machine Learning from Generative AI. I don’t know that they’re doing this intentionally, but i would definitely appreciate that distinction being made.


As the article says, this aligns their fees with the fees charged byany other countries. While there is anti-foreign sentiment in Japan right now due to over-tourism, this doesn’t appear to be targeted at reducing tourism.


Honestly, as a foreigner who has been to Japan many times, I find izakaya to be extremely intimidating. I only go to them if I have someone local to go with.


I kind fo agree and kind of don’t. I agree in that parents should take accountability for their children. That said, social media has been shown to be addictive and kids are frequently ahead of their parents technologically. One thing that could help is an education campaign that teaches parents how to effectively monitor their kid’s online activity. Parents need some help figuring out what tools to use and how to use them I think.


Climate scientists have been warning about this for at least a decade. They’re just not being heeded.
As the guy whose comment you added to, thanks for pointing out podman kube play. I’ve ever used it before and it looks worth playing with. It’s a bit limited in terms of what resources it can create if you’re used to k8s, but it definitely looks useful for testing and quickly standing up simple apps.
Kubernetes has a hell of a learning curve. Once you get your head around it, it can be great but it is a huge lift to learn. For self hosting I’d lean towards docker-compose rather than kubernetes but kubernetes can be nice once you get past the super steep learning curve.
To answer your questions:
I would strongly recommend looking into deployment using docker-compose over kubernetes until you understand containers inside and out. While Kubernetes can be nice it akso adds another layer of difficulty. I say this as someone who uses kubernetes daily for work, uses off the shelf helm charts, and writes their own helm charts from scratch.
As someone else who works in ML but as a user for research purposes, I agree that there is no technical distinction but we’re talking about public communications here. You and I both know that AI and ML are the same thing. Most people do not. If I talked with my mom about AI she would assume I mean generative AI. She wouldn’t understand the nuance in your comment.
In fact, even as a researcher who uses both simple ML techniques and generative AI, I tend to make the assumption that when someone mentions AI they mean generative AI.
Common language changes based on the common understanding of society. The fact that the technical terms mean something different from the common understanding in society means that we need to be even more careful with the terms that we use, especially with something as polarizing as generative AI.