usgroup

10 ms·

91.
by usgroup 2y ago
You might be thinking about how the evaluation is trained (MCTS) rather than how it’s applied in a chess game?
92.
by usgroup 2y ago
It doesn't work that way, and it is common to test for known imbalances, or to implement stratified sampling. As another poster said, confounders do not have to be conveniently distributed, even though that is typically assumed. It cou
93.
by usgroup 2y ago
Generally speaking, I've come to expect that from articles with "myths about" in the title outside of the context of the classics or anthropology.
94.
by usgroup 2y ago
> When we randomise people, these influences will still be operating on the outcome, which will vary across the people randomised to our conditions. Does randomisation mean that all these different effects are balanced somehow? No – not
95.
by usgroup 2y ago
So far as I can tell, the A+B strategy described therein is exactly the principle that Stockfish -- and more or less every other chess engine -- was built on prior to AlphaZero, after which the top engines moved to NN derived evaluation cri
96.
by usgroup 2y ago
As others have said, this is par for the course. Competence all around you -- in most places -- is at best a transient phenomena, if you're a top 25% thinker. Assuming you are a top thinker, and you want to be challenged, then you coul
97.
by usgroup 2y ago
I'd additionally suggest joining the SWI Prolog board. They are a kind and generous community. Jan Wielemaker -- the principal contributor -- often answers questions directly. Meanwhile, SWI Prolog is a mature and commercially used ope
98.
by usgroup 2y ago
Consider starting here: https://book.simply-logical.space/src/simply-logical.html There isn't much to read; you mostly have to spend your time thinking about implications. It'll quickly test how into logic yo
99.
by usgroup 2y ago
I think it’s a nicely summarised challenge to boot. It’s doubtless to me that thinking happens without intermediary symbols; but it’s also obvious that I can’t think deeply without the waypoints and context symbols provide. I think it is a
100.
by usgroup 2y ago
I think that may be a mostly US bias. I don't think it is true more broadly. E.g. take UK, China, Japan, Russia, France, Germany as an example.
101.
by usgroup 2y ago
There is a little bit more here: https://giap.icac.cat/2024/09/09/a-universal-model-for-detec... For some reason, the article is inaccessible at the time of writing, but it seems to be using a military satell
102.
by usgroup 2y ago
Countable infinity does not work like that: two countable infinities are not more than one countable infinity. I think it falls into the "not even wrong" category of statements. The Wikipedia article is fairly useful: https:&#x2F
103.
by usgroup 2y ago
No breadth first search is still complete given an infinite branching factor (i.e. a node with infinite children). "Completeness" is not about finishing in finite time, it also applies to completing in infinite time. Breadth first
104.
by usgroup 2y ago
Depth first search is not complete if branches can be infinitely deep. Therefore if you're in the wrong infinite branch the search will never finish. Breadth first search is complete even if the branches are infinitely deep. In the sen
105.
by usgroup 2y ago
There are. Tabling (available in most mature implementations) helps when recalculation of the same states is a problem. Meanwhile, custom search strategy is always an option to implement directly in Prolog. You'll see this in many Adve
106.
by usgroup 2y ago
functional logic programming is not equivalent to functional programming.
107.
by usgroup 2y ago
It ends like this, largely cancelling out the rest of the article: >In the second iteration of the circle, all of his notes are completely useless, and all of his initial attempts to teach anything fail, because these are different kids
108.
by usgroup 2y ago
Adding covariates to the post analysis can reduce variance. One instance of this is CUPED by there are lots of covariates which are easier to add (eg request type, response latency, day of week, user info, etc).
109.
by usgroup 2y ago
Tsetlin machines have been around for some time: https://en.wikipedia.org/wiki/Tsetlin_machine They are discrete, individually interpretable, and can be configured into complicated architectures.
110.
by usgroup 2y ago
It doesn't say where the 152 astrologers were sourced, does it? Or how they were qualified? Should astrology be a field with very many impostors, these results would not be unusual. Generally speaking I suspect it will be difficult to
111.
by usgroup 2y ago
I think the margin between OpenAI and the next few best competitors is already fairly slim, but as OP mentioned, the margin between the median competitor and the best is also decreasing. It suggests that playing catch-up progresses quicker
112.
by usgroup 2y ago
Well, their leetcode rating says something about their ability to solve novel abstract problems using computer science tooling. All other things being equal, the candidate better at that is the better candidate. Meanwhile, it is not a compl
113.
by usgroup 2y ago
It depends on how its used. For example, if you have to repeat your performance in a live interview, you'll struggle to do so. Similarly, if the employer uses a confirmatory set which the LLMs get wrong (e.g. adventofcode does that), y
114.
by usgroup 2y ago
Yeah but let’s not go crazy. Linear models perform very badly on partition-able tabular data where tree models excel. They are also obviously no replacement or competition in deep learning related tasks. Point 3 — just pick the right basis
115.
by usgroup 2y ago
Also see Shalizi’s “Data Analysis from an Elementary Point of View” is a good introductory textbook: https://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/ It is rightly over-weight on linear and additive models and simula
116.
by usgroup 2y ago
That variance increases with counts certainly make more sense for count data. E.g. 5% of buses are late should imply larger variance for larger counts. It was confusing to me too once upon a time because most distributions are designed to h
117.
by usgroup 2y ago
Bare in mind that Breiman's polemic was about generative vs discriminative methods. I.e. that we should not start an analysis by thinking about how the data generation can be modelled, but instead we should start with prediction. From
118.
by usgroup 2y ago
+1 for “in all likelihood” but it should be stated that the book explains a third approach which doesn’t lean on either subjective or objective probability.
119.
by usgroup 2y ago
xgb.cv(X,y) all-the-things. Its far from a principled statistical approach to what is supposed to be at least an observational study in every case —- and have all the caveats and preparations thereof —- but it is very easy to explain to dev
120.
by usgroup 2y ago
Meta occupies the "biggest X in the world spot". It is difficult to separate controversy specific to Meta from controversy inherent in occupying that spot. I think resultantly many people are agnostic to the ethics, for whom consi

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