joerick (u/joerick) - Readit News

joerick commented on Python Steering Council unanimously accepts "PEP 810, Explicit lazy imports" discuss.python.org/t/pep-... · Posted by u/Redoubts

johnfn · 3 months ago

This will be huge at the place I work!

I’m unfamiliar with the PEP process. How long until this makes it into a Python version?

joerick · 3 months ago

It should land in 3.15, so October next year. https://peps.python.org/pep-0790/

joerick commented on Uncertain<T> nshipster.com/uncertainty... · Posted by u/samtheprogram

boscillator · 6 months ago

Does this handle covariance between different variables? For example, the location of the object your measuring your distance to presumably also has some error in it's position, which may be correlated with your position (if, for example, if it comes from another GPS operating at a similar time).

Certainly a univarient model in the type system could be useful, but it would be extra powerful (and more correct) if it could handle covariance.

joerick · 6 months ago

I've been wondering for a while if a program could "learn" covariance somehow. Through real-world usage.

Otherwise, it feels to me that it'd be consistently wrong to model the variables as independent. And any program of notable size is gonna be far too big to consider correlations between all the variables.

As for how one might do the learning, I don't know yet!

joerick commented on Police identify seven as main suspects in Post Office Horizon scandal inquiry theguardian.com/uk-news/2... · Posted by u/chrisjj

joerick · 8 months ago

If we assume no conspiracy, what's the sentencing like for perjury due to carelessness?

joerick commented on Introducing Gemma 3n developers.googleblog.com... · Posted by u/bundie

thimabi · 8 months ago

Suppose I'd like to use models like this one to perform web searches. Is there anything available in the open-source world that would let me do that without much tinkering needed?

I think it’s something that even Google should consider: publishing open-source models with the possibility of grounding their replies in Google Search.

joerick · 8 months ago

Google do have an API for this. It has limits but perfectly good for personal use.

https://developers.google.com/custom-search/v1/overview

joerick commented on Guess I'm a rationalist now scottaaronson.blog/?p=890... · Posted by u/nsoonhui

tsimionescu · 8 months ago

Bayesian inference is very, very often used in the types of philosophical/speculative discussions that Rationalists like instead of actual empirical study. It's a very convinient framework for speculating wildly while still maintaining a level of in-principle rationality, since, of course, you [claim that] you will update your priors if someone happens to actually study the phenomenon in question.

The reality is that reasoning breaks down almost immediately if probabilities are not almost perfectly known (to the level that we know them in, say, quantum mechanics, or poker). So applying Bayesian reasoning to something like the number of intelligent species in the galaxy ("Drake's equation"), or the relative intelligence of AI ("the Singularity") or any such subject allows you to draw any conclusion you actually wanted to draw all along, and then find premises you like to reach there.

joerick · 8 months ago

Beautifully put.

joerick commented on SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators machinelearning.apple.com... · Posted by u/pizza

gblargg · 10 months ago

It sounds like they basically find part of a pseudo-random sequence that is closest to the desired data, then store the random seed and corrections (which are small so take less space).

joerick · 10 months ago

Pretty fascinating from an information theory point of view. Surprising that it works at all. Is this, like, the JPEG of uniformly distributed, uncorrelated data?

joerick commented on Blue noise – white noise alternative for graphics (2016) momentsingraphics.de/Blue... · Posted by u/joerick

joerick · a year ago

I came across this page in a discussion about dithering. It was posted by @rikroots.

Fascinating stuff. I love to see the application of the 2D Fourier transform for analysis. Added bonus - they tile brilliantly.

Posted by u/joerick a year ago

Blue noise – white noise alternative for graphics (2016)momentsingraphics.de/Blue...

joerick commented on EA Open Sources Command and Conquer: Red Alert, along with other games github.com/electronicarts... · Posted by u/Klaster_1

thisOtterBeGood · a year ago

Found this gem in Recorder.cpp of generals:

  //Kris: Patch 1.01 November 10, 2003 (integrated changes from Matt Campbell)
  // Since we don't seem to have any *visible* desyncs when replaying games, but get this warning
  // virtually every replay, the assumption is our CRC checking is faulty.  Since we're at the
  // tail end of patch season, let's just disable the message, and hope the users believe the
  // problem is fixed. -MDC 3/20/2003
  //TheInGameUI->message("GUI:CRCMismatch");

joerick · a year ago

Hahaha. We used to get desyncs on networked games of Generals pretty regularly. I remember if a game took more than 30-40 mins I'd start to get a spidey sense things were about to go wrong

joerick commented on Embeddings are underrated technicalwriting.dev/data... · Posted by u/misonic

loa_in_ · a year ago

They don't represent everything. In theory they do but in reality the choice of dimensions is a function of the model itself. It's unique to each model.

joerick · a year ago

Yeah, 'everything' as in 'everything that the model cares about' :)

u/joerick

KarmaCake day57July 1, 2014View Original