LXC containers on top of Debian in a specific work station just for this. I have one generic container to start everything, and then create specific ones if projects get bigger.
This is by far the best option to isolate and easily create development environments that I found.
I connect to the containers from VS Code running on Mac OS.
Historical public companies Merton Probabilities of Default.
A project just for fun and still having to finish a couple of things.
I plan to make the datasets public (everything but some raw market data as vendors don't allow that) and also about to add the explanation of what Merton PD is.
Fuck, this made me feel old. It blows my mind that the learning path Rust then Python even exists.
When I started school in 2000, it was C, then C++, and then Java. Oh, and then compilers. It’s impossible for me not to think about allocation when doing anything, it’s just rooted in my mind.
Rust is a lot simpler than C++ and arguably Python itself, so it's not a huge surprise that it turns out to be viable as a first programming language. Especially since some parts of it can be taught as pretty much a pure functional language at the outset (actually this works quite well, right up until you really need interior mutability - which is not that often), which makes for a good intuition of what keeps the borrow checker happy.
I believe Rust could work as a First language for CS students, but I don't expect it will ever make sense as the sole language we teach to non-CS students who need programmability as a potential skill, the same way they may need stats, or some of mathematics, or various other skills (I did Contract Law for example).
The prominence of Python for those students makes sense to me, thirty years ago I'm sure a BASIC would have been fine too. It doesn't need to be elegant, or have good performance, it does matter that it's free, and that there's a lot of existing crap written in Python you can crib from.
Python makes even less sense as a language for CS-naïve students. It has bonkers semantics, and the "intuitive" syntax only really helps when writing tiny, trivial programs.
I’m from Spain and have lived in the U.S. for 11 years. I 100 percent feel less punished here than in Spain while driving.
Just yesterday while taking my daughter to school, I was looking at my phone, the light turned green, and the car behind me had to wait a few seconds, it was a police car. He clearly saw me, and absolutely nothing happened. The police back home in Catalonia would have roasted me for that.
And I have seen wild things here in US besides tons of people using phones like brushing teeth or eating with a plate and a fork.
The good part is that the next financial crisis when OpenAI sinks probably won’t be a systemic one, it will definitely drag others down and the stock market will readjust, but hopefully the US economy will remain afloat
Can you explain why you think that is? The SP500 has never been more top heavy and when those 7 or so all AI associated incest stocks falter I can't see anyway it's not going to be a bloodbath of the decade long type.
I don’t know, just intuition. Each crisis is different and impossible to predict, otherwise I’d be retired, which I’m not.
Completely agree, I’d expect all of those to take a big hit, and some more than others, but I don’t think Microsoft or Google would disappear. As for the SP issue, if this trend continues, people might start seeing the SP as the opposite of diversification (at least in the stocks market sense) and will have to start looking for something else.
BTW, I’m almost an all-in SP investor myself so I’ll have to navigate that dip too, lol
With some booms you have something to show for it, for example, a railway network. With others, such as tulips, there is nothing to show.
After the predicted bloodbath, do we get some infrastructure and products worth keeping at the end of it? If so, does that mean the system can limp on, after even more money has printed, or do we get to another big fork in the road where systematic change is required?
If each human brain consumes ~20W then 10 GW is like 500 M people, that sounds like a lot of thinking. Maybe LLMs are moving in the complete opposite direction and at some point something else will appear that vaporizes this inefficiency making all of this worthless.
I don’t know, just looking at insects like flies and all the information they manage to process with what I assume is a ridiculous amount of energy suggests to me there must be a more efficient way to ‘think’, lol.
We know for a fact that current LLMs are massively inefficient, this is not a new thing. But every optimization you make will allow you to run more inference with this hardware, there's not a reason for it to make it meaningless any more than more efficient cars didn't obsolete roads.
I was paid closer to $145k while at Microsoft, and the health insurance fory locality kinda sucked (according to my wife, who manages that part of our lives).
And I didn't stay long enough fory stock grant to vest at all (IIRC).
I was paid closer to $145k while at Microsoft, and the health insurance fory locality kinda sucked (according to my wife, who manages that part of our lives).
I think some people underestimate the power of those willing to migrate to the US.
I’m in my early 40s and moved from Western Europe to the US 11 years ago, and I feel I was the last generation eager to come, the perception of US is changing fast. This is not an H-1B problem but still a parallel one on how to attract people.
This is by far the best option to isolate and easily create development environments that I found.
I connect to the containers from VS Code running on Mac OS.