2,778 karma · joined June 15, 2016
I’d conjecture that the algorithms that do well (as measured by compression ratio) on this particular corpus will also do well on corpuses that contain minimal ‘knowledge’.
Compression algorithms that do well might encode a lot of data about syntax, word triple frequencies, and Wikipedia editorial style, but I really doubt they’ll encode much “knowledge”.
Even then, given half of any sentence in the book, I don’t rate my chances of reproducing the next half. That’s more a question of knowing the author’s style than knowing calculus itself.
Does arithmetic coding capture all of that?
There is a limit, the company just delegates the definition of that limit to team leads. It makes planning holidays uncomfortable since it’s never quite clear whether you’re pushing a boundary.
Generally I just stick to the UK norm of 25-27 days plus public holidays.
A generous but fixed allowance that you’re actually expected to use in full would be a much better system.
Arguably the most important constraint on a bank's ability to create new loans (and hence new deposits) is its core tier one capital ratio: that is, its total liabilities divided by its shareholders' equity.
I don't think it is really. You're right in saying that 2/3 and 3/2 are the right numbers to ensure that the population wealth stays the same. But the point of the exercise is to show that the population wealth can increase while the wealth of almost any individual in the population decreases.
This is the author's jumping-off point to argue that the standard arguments in economics about average welfare can be far removed from the experience of any single worker in the economy.
W_t = exp(k E[X_t])
Whereas the wealth of any individual grows like
W_t = E[k exp(X_t)]
There's a result called Jensen's inequality that says that
f(E[X]) > E[f(X)]
for any random variable X and any convex function f (exp is one such function). In a sense, I think this all just falls out of Jensen's inequality.
If it happens to be the latter, it's a huge scientific leap forward.
Call me jaded but I’ve worked with both systematic and discretionary traders. The algos I’ve seen tend to be heavily overfit, and stop working as soon as they hit production. The discretionary traders usually have a tonne of gambler’s tics and have a bad habit of assigning narratives to market noise.
Most institutional traders aren’t the best in the universe. They just do dumb things faster and at bigger scale than day traders.
The 'key' and 'value' description in the attention mechanism probably doesn't make much sense to you because at best it's a strained metaphor, rather than an actual principle by which attention operates. If you take a look at the maths, you can interchange the role of 'keys' and 'values' and get something mathematically identical.
Turing would argue that if the map resembles the territory so faithfully that you can't distinguish between them, the difference is moot. We're not there yet, but we're a hell of a lot closer than we were ten years ago.
Maybe you're thinking of "AGI", which is a term that appeared in the late 90's to make the distinction between the expert systems of the time and machines that could think like a human?
Or maybe go the whole hog and just don’t post? I’m not religious but questions like this can only be asked in very specific circumstances without causing offence.
This a thread trying to wish a significant segment of the hn community a happy festival. Is now really the time to question their beliefs?
That's too expensive a target to be realistic right now, so the real question is what's a level of taxation that won't cause social unrest, but that will change behaviour?
But they can explain their 'reasoning' in a way that makes sense to humans a lot of the time. Serious question: how do you know if something does or doesn't reason?