chewbaxxa

ChatGPT and family has been effective for me, even to connect equations I’m familiar with to areas I hadn’t encountered before.

You are not storing these things in your head at the expense of anything else. You’re “training” the existing underutilized capacity in your brain for something useful.

wow, this whole blog is a treasure!

not sure if it's just bait but their is_prime function does not actually do what its name suggests.

Pidgin (and its OTR plugin) used to be the most popular client for OTR (Off-The-Record, an encryption protocol) messaging. That was my experience about 10 years ago and back then I think the plugins were known to be a weak point in its security.

If it was desirable you would still want to isolate it

They are just paying their respects.

by measuring the Deuterium content

See also (M^T M)^-1 M^T

Problem is that most of the time the signs are wrong.

I spoke to a few Alameda/FTX people over drinks before summer. They were delighted to brag about the lack of separation between the two entities. Really there wasn’t any.

The comment section is full of people complaining in general. Nice job OP, I think it looks great.

The pressure is high at the intake

Sure we add up the numbers, but there are thresholds for everything anyway. We might not be concerned about something within a 1MM range let alone a floating point inaccuracy. The uncertainty is accounted for already.

I got this too. Even with a strong interest in the business area and multiple hours of interviews going well: “You’d be a great fit here”, “You were technically strong”, … , “We don’t think you really want this job”.

I really wanted that job. That’s only the most recent, but I have had an overwhelming number of these experiences. I know my own worth, but to convince someone to actually let you work for them - impossible.

Not sure why you couldn’t just resize the window here?

That’s an autobiography. You read it to hear the author talk about themselves.

This is exactly statistics. This is an expectation of a utility function with respect to some distribution.

What do you mean by hide the uncertainty? To me Bayesian modelling is about making explicit the uncertainty.

I guess they should go ahead and indict Musk and the rest of crypto Twitter too then.

I don’t really agree that Apple is similar. I am no Apple fanboy, but if you want hardware will all the same features, complexity and polish; in particular a phone, there is no competitor that can make an identical clone. Printing vinyl on a hoodie though, that’s a pretty well solved problem.

As for expressing yourself, does it really count? These brands are marketed at you in a million different ways. Then by purchasing what are you expressing?

My impression is that most of this stuff is bought by shallow people to show off their wealth to other people. Meanwhile, many others waste a significant portion of their income on them. These gullible people buy overpriced clothes simply to keep up because, through very skilful marketing, this ordinary apparel is held up as something that you should desire or be impressed by.

In the end though, it’s just money that flows from an invested individual’s income to feed a disinterested hedge fund’s balance sheet. It is pretty cringe, and sad on a large scale imo.

They’re completely different tools. Tensorflow is a specialised matrix math library. Pandas is just for sql-like data handling.

One example:

> Two decades ago, neurophilosopher Patricia Churchland and physicist Max Tegmark were among those who launched outright broadsides. Hameroff and Penrose responded, and Hameroff published a list of 20 testable predictions yielded by Orch-OR.

Anyway, it seems that his research has also inspired better equipped scientists to delve deeper.

Your comment is grey, but I think you’re right.

Warwick is particularly well regarded for its mathematics department.

That would result in what was described above. You are taking unnecessary risk by committing to place an order at some point in the future. You might not be so sure a second from now.

Math.min(a, x) == at_most_a(x)

Math.max(b, x) == at_least_b(x)

at_most_b(at_least_a(x))

A similar kind of thing is really common in measure theory (limsup, liminf) and option payoffs.

You could study computer science and then go to a large corporation to help them maximise their ad revenue, or you could study and do something like this instead. Depends what motivates you.

So was the person who dubbed statistics ML