Today’s immigration talks do center around illegal immigration, but it’s wrong to say that occupies it “almost entirely”.
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Today’s immigration talks do center around illegal immigration, but it’s wrong to say that occupies it “almost entirely”.
I wonder how they deduced this. There isn’t a citation, and it seems pretty extraordinary to be able to figure out the mean travel time of people in the Neolithic era.
It’s amazing how subtle nudges can have make such a difference.
For example, it'd be far, far cheaper to forcibly take over the world and shut down every carbon emitting machine than to find another planet and terraform it.
Surely we're collectively smart enough to find a global solution to this in the near future, given that our resources are appropriately allocated.
If you stay at the bank, or at a nice job, you're almost guaranteed to continue that gradient ascent. It's not the case with a startup; it's not as simple as deciding to do it, having to deal with a local minimum, and then continuing upwards.
Many want to be at the top of the hill. Few want to take the risk of actually climbing it.
We need to see more suburbs do things like this for last-mile transit too.
Hah, this comes across as incredibly patronizing.
Seriously though, whenever someone in a position of authority makes a prediction of "the next Uber", "the next Einstein", or "the next Silicon Valley", I am instantly extremely skeptical.
Helps that each of our coins are almost exactly the same size and weight for all common denominations.
American doesn't fly to any Middle Eastern cities but they partner with both Etihad and Qatar, who do.
If you're someone who flies for work, there's no way you're going to take a flight where you can't use your laptop.
Which has an implicit assumption that happiness = living your "best possible life".
There are definitely people in Africa, Latin America, etc, who recognize they may have better prospects elsewhere, but if they're content with where they are… isn't that happiness too?
It's easy to feel like it's just a tech bubble -- there's not much interaction outside of it. But if you make an effort to step outside the tech-centric environment, it can be extremely rewarding.
A good chunk of those 50m aren't paying $10/mo; they've expanded their partnerships (in part) to inflate that number.
I agree that basic statistics + Bishop's book is a great way to start getting into machine learning -- but AI is a much broader field than that.
It also depends on what you're going to focus on. Are you looking to implement a game-playing agent? An object recognition algorithm? More of a logic focus?
If you just want Deep Learning and statistical methods, then Bishop's Pattern Recognition and Machine Learning is a good start. Otherwise, Russel and Norvig's Artificial Intelligence or Patrick Winston's similarly titled book are great starting points. For more big-picture stuff,
Marvin Minsky's Society of Mind is great, and Hofstader's Gödel, Escher, Bach is a classic too. Both are a lot less practical though, which seems to be what you're looking for.