While I generally agree that local models will gain popularity and Apple is generally well situated to capitalize on this, articles like this are not the way to convince anyone.
Plots with no axis labels or units displayed? In fact if you're literally just comparing two things, why not just write down the two numbers? Or better yet strengthen your argument by comparing more than just literally two options?
And the pictures. You seriously couldn't be bothered to just go find a picture of four Mac minis stacked on top of each other, and had to genai a picture of four vaguely-mac-mini-shaped blocks?
This decision may also be related to infrastructure. Even if Codeberg wasn't against heavy LLM use for moral reasons, their limited infrastructure would have a hard time keeping up with the massive output that LLMs are capable of.
My understanding is that this more of a tactical consideration than a technical one. When these planes were used in the Gulf war, they were absolutely detected by Iraqi radars; they were just detected too late to do anything about them. While these planes were approaching the radar stations, they were oriented in one relative direction so the radar waves could be scattered away from the source consistently. Source is the Ben Rich Skunkworks book.
This is interesting analysis, but I don't think it necessarily counteracts what the book is saying. To build state-affiliated housing also involved "clearing the pipes" as the article put it.
Additionally, the Vienna housing that this article touched on is a way deeper rabbit hole that is absolutely worth looking into. They have a completely different housing paradigm than pretty much anywhere else in the world.
Pretty important asterisk concerning the privatization of the Japanese rail network: this privatization led to the closure of a lot of rural, unprofitable lines. IMO this would play out similarly for the USPS; it's not hard to remain profitable when you can just cleave off the parts of your public service that are in the red.
I've been on my soapbox for a while that introductory machine learning courses should cover the basics of optimization. Even just basic KKT conditions could add a lot.
I'm a huge fan of Paul's, and his book Measurement is easily the most beautiful introduction to geometry out there.
I appreciate his focus on how to maintain engagement with students who are predisposed to math, but I think it's equally important to consider how to teach students who are deeply uninterested in math but still need a working knowledge to live life. Granted, the current system seems to be failing both kinds of students.
Plots with no axis labels or units displayed? In fact if you're literally just comparing two things, why not just write down the two numbers? Or better yet strengthen your argument by comparing more than just literally two options?
And the pictures. You seriously couldn't be bothered to just go find a picture of four Mac minis stacked on top of each other, and had to genai a picture of four vaguely-mac-mini-shaped blocks?