pseudonom-

Dhall is the FP config language you're thinking of, I think.

Funny, I did almost the exact same thing: https://github.com/colehaus/hammock-public. Though I project to 3D and then put them in an interactive 3D plot. The other fun little thing the interactive plotting enables is stepping through a variety of clustering granularities.

pseudonom-

3년 전discuss

OpenAI was formed as a nonprofit with a specific charter ("OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome.") and the capped-profit entity under which daily operations occur formed years later with the claim that it was instrumentally useful for pursuing that charter. The capped-profit entity remains a subsidiary of the nonprofit. The board in the dispute is the board of the overseeing nonprofit.

So there are many particulars that mean pattern matching to a standard board dispute will lose something. I think it's likely many of the primary actors have, at various times, had non-strictly-pecuniary motives. That one side won doesn't mean that the other side was always a farce.

pseudonom-

3년 전discuss

Are you aware of the history and governance structure of OpenAI?

pseudonom-

3년 전discuss

Unless I'm misunderstanding something, this is precisely why I don't use Home Manager. I've literally never had my NixOS setup break over the course of many years.

pseudonom-

3년 전discuss

https://arxiv.org/abs/2306.11644 is along these lines.

pseudonom-

3년 전discuss

Probably quotes like:

"It must be familiar, roughly C-like. Programmers working at Google are early in their careers and are most familiar with procedural languages, particularly from the C family. The need to get programmers productive quickly in a new language means that the language cannot be too radical."

And not including sum types despite having a sum-type-shaped hole in the language (`if err != nil`).

And some of the discussion about "why no generics" seemed kind of divorced from existing PL knowledge on the topic.

pseudonom-

3년 전discuss

Tim Dettmers recently (https://www.manifold1.com/episodes/ai-on-your-phone-tim-dett...):

"But what we found with these neural networks is, if you use 32 bits, they're just fine. And then you use 16 bits, and they're just fine. And then with eight bits, you need to use a couple of tricks and then it's just fine.

And now we find if you can go to four bits, and for some networks, that's much easier. For some networks, it's much more difficult, but then you need a couple more tricks. And so it seems they're much more robust."

pseudonom-

3년 전discuss

There are other mechanisms for dealing with vanishing and exploding gradients. I (maybe wrongly?) think of batch normalization as being most distinctively about fighting internal covariate shift: https://machinelearning.wtf/terms/internal-covariate-shift/

pseudonom-

3년 전discuss

> (Do bear or typeguard allow you to do this using decorators?)

You can push some of this directly into Python type annotations thanks to https://peps.python.org/pep-0646/.

e.g.

  @overload
  def mean(a: ndarray[float, Dim1, *Shape], axis: Literal[0]) -> ndarray[float, *Shape]: ...
  @overload
  def mean(a: ndarray[float, Dim1, Dim2, *Shape], axis: Literal[1]) -> ndarray[float, Dim1, *Shape]: ...

pseudonom-

3년 전discuss

There's some discussion in section 3.2 of https://arxiv.org/pdf/1910.10683.pdf

pseudonom-

3년 전discuss

> Ie even lower than my guess of 90% above.

These are not comparable numbers. You're comparing "fraction of people" vs "fraction of outcomes". Presumably an eye-roller assigns ~0 probability to "extremely bad" outcomes (or has a shockingly cavalier attitude toward medium-small probabilities of catastrophe).

pseudonom-

5년 전discuss

Ahh, I was focusing on the "local state" vs "global state" bit. Haskell has ways to address the expression problem: e.g. http://www.cs.ru.nl/~W.Swierstra/Publications/DataTypesALaCa... and http://okmij.org/ftp/tagless-final/course/lecture.pdf

pseudonom-

5년 전discuss

To the extent that I understand your complaint, there is a functional architecture that alleviates this concern: arrowized functional reactive programming. https://blog.jle.im/entry/intro-to-machines-arrows-part-1-st... talks about it.

pseudonom-

6년 전discuss

This can be fairly smoothly achieved already: https://dev.to/gcanti/functional-design-smart-constructors-1...

pseudonom-

7년 전discuss

Chronic hunger in (at least) the US appears to be essentially non-existent for children: https://blog.givewell.org/2009/11/26/hunger-here-vs-hunger-t...

pseudonom-

7년 전discuss

There are serious attempts to estimate the externalities that arise from automobile use in general: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.661...

Adjusting those estimates (only) for inflation, they work out to about $2.14 per gallon in driving externalities.

pseudonom-

8년 전discuss

"Carbon taxes are regressive" is too simple, and I'd argue wrong, for a variety of reasons:

- Some experts just flatly deny it: "low-expenditure households devote a smaller share of their budget to gasoline than do their counterparts in the middle of the expenditure distribution" --- https://dspace.mit.edu/bitstream/handle/1721.1/63747/isgasol...

- Carbon taxes are often less regressive than alternative sources of revenue e.g. sales taxes

- Depends on how the revenue is spent. If, for example, it's used to expand the Earned Income Tax Credit in the US, the overall tax and spend pattern would be progressive.

- The impacts of excess carbon are also "regressive" in that global warming affects poor people more severely. This means that the net effect of a regressive tax which reduces a problem with an even more regressive incidence could be progressive.

pseudonom-

8년 전discuss

Does anyone have any impressions on how this compares to CLRS? (https://en.wikipedia.org/wiki/Introduction_to_Algorithms)

pseudonom-

8년 전discuss

> ~30% of her students, from either school, would not eat at all over the weekend. No, not that they would eat Cheetos or drink Coke. They plain-jane went hungry.

Can you help me reconcile that with the data from the USDA as described here? https://blog.givewell.org/2009/11/26/hunger-here-vs-hunger-t...

They describe children in 0.3% of households as skipping a meal almost every month and the number of children that did not eat for at least one day in almost every month is too low to measure.

pseudonom-

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