And now they are expanding to medical sciences too! Imagine becoming a self taught doctor :/ https://dth.ac.in/medical/course.php
But yes, the value of attending a top university is not at all limited to these study materials. It is so much more.
And now they are expanding to medical sciences too! Imagine becoming a self taught doctor :/ https://dth.ac.in/medical/course.php
But yes, the value of attending a top university is not at all limited to these study materials. It is so much more.
The biography went really deep into his art and pointed out what made it so special. As someone who knows nothing about art, this gave me a wonderful new perspective both on Da Vinci and on art in general.
The Sword in the Stone is probably my favorite Disney movie so I was delighted to discover the movie was based on a book which was even better.
1. What problem is this trying to solve?
2. What are the strengths / weaknesses?
Usually you don't have to go very deep to get a feel for these questions. I figure that if I know these things, then in future if I encounter a problem where tech X is useful I can go learn the details. If I never do, I can at least prioritize within whatever free time/energy I have for additional side learning.
As an example, for quantum computing the problem it's solving is surprisingly hard to identify. Breaking (some) cryptographic algorithms is the classical example, but that's not a problem I plan to try and solve anytime soon. Other use cases tend to be vague - ML is often mentioned but actual players in the AI space don't seem to be investing into QC much. Quick eval result: pass for now until use cases become clearer.
What about ML? Many useful problems that can be solved with that - anything where you can't easily express an algorithm to solve a problem but one may be learnable by example. Strengths: capable of doing things no other technique can do. Weaknesses: requires lots of clean(ish) data, advanced ML may need specialists, training/inference can be expensive, finding ways to actually apply it to business problems is remarkably tricky due to its capacity for random failure and difficulty in coming up with fixes for that, which doesn't fit the needs of most automation projects ... but can be OK if you can predict fast enough to speed up a human who's already in the loop, or if mistakes are cheaply correctable. The exact details of how it works? I enjoy reading about it. There's a good article on the GPT-3 DNN architecture on the HN front page right now actually, but it's just some casual hobby learning. I don't feel stressed if I don't grok all the details right now because it's not necessary to do so.
In other words, focus on knowing the outlines of these topics and learning when/how to apply them, then forget the rest. That doesn't take as much time as you'd expect.
These two simple questions seem like a great approach and one I will take in future, appreciate your sharing it.
No, I believe the cloud stuff has evolved in a way that is just strange. I know I'm not stupid, and I look at this stuff with suspicion. This is why I'm going vertical by owning my entire stack (except Amazon S3 because it is awesome...)
So what's the solution? Me recycling cans and using public transportation and going vegan and ... isn't going to solve this problem. The people who aren't already convinced aren't going to change their habits.
Pardon my french, but are we just completely and collectively fucked? What does a solution, long or short term, look like - realistically, not as per Musk et al?
Just one highlight: the current has administration canceled three fossil fuel lease sales in 2022 due to a lack of industry interest In contrast, there are currently 18 active offshore wind leases with 14 new site assessment plans approved, including the scoping of the first wind energy areas in the Gulf of Mexico and Gulf of Maine.[0]
I also look at this daily, although it's more focussed on Europe: https://www.positive.news/
It's not all sunshine and roses. But the narrative should be: 'some humans, albeit perhaps the minority, are fighting save this planet, and are winning at least of their battles'. Maybe it will be too little too late. But the narrative is decidedly not 'existential threat to our species and others, and no one gives a shit'.
[0]https://www.americanprogress.org/article/offshore-wind-can-l...