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@chrispsn
chrispsn / we-need-to-talk-about-group.md
Last active December 27, 2025 05:35
We need to talk about group.

We need to talk about group.

I'm sorry to tell you, but group is gone.

If you check out the latest k.d on shakti.com as at 28 March 2023, you'll see that 'unary' = is now 'freq' (frequency).

Group had a long life: it's been around since at least k2, or 1996.

So why did group go? And what should we use instead?

@rain-1
rain-1 / GPT-4 Reverse Turing Test.md
Last active December 27, 2025 05:35
GPT-4 Reverse Turing Test

The reverse turing test

I asked GPT-4 to come up with 10 questions to determine if the answerer was AI or human.

I provided my own answers for these questions and I also asked ChatGPT to answer them.

The result is that GPT-4 was able to correctly differentiate between AI and Human.

@rain-1
rain-1 / LLM.md
Last active January 30, 2026 14:32
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@yoavg
yoavg / LLMs.md
Last active December 27, 2025 05:35

Some remarks on Large Language Models

Yoav Goldberg, January 2023

Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.

Intro

Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We

@RobertAKARobin
RobertAKARobin / safari.md
Last active December 27, 2025 05:35
Safari's date-picker is the cause of 1/3 of our customer support issues

Safari's date-picker is the cause of 1/3 of our customer support issues

...and obviously we're building a workaround. But I'm absolutely flabbergasted that a standard <input type="date"> HTML field, in a standard browser, from a company that bases its reputation good design, could be so dreadful.

The context

I'm the developer for a startup that sells a genetic test to recommend medications for high blood pressure. For medical reasons we need to know our customers' birth date. Most of our customers are in their 60s or older. We've found that many of them use iPads or iPhones. And they're the ones who complain to our customer support that our site is unusable.

The problem

@Gaelan
Gaelan / README.md
Last active December 27, 2025 05:35
ChatGPT passes the 2022 APCSA free response section

ChatGPT passes the 2022 AP Computer Science A free response section

For fun, I had ChatGPT take the free response section of the 2022 AP Computer Science A exam. (The exam also has a multiple-choice section, but the College Board doesn't publish this.) It scored 32/36.

Methodology

  • For each question, I pasted in the full text of the question and took the response given.
  • I tried each question once and took the response given: no cherry-picking. For readability, I've added indentation in some cases, and included method signatures where they were provided in the question and ChatGPT only provided a body. I've added question numbers; any other comments are ChatGPT's.
  • Many questions have examples containing tables or diagrams; because those don't translate well to plain text, I excluded those tables/diagrams and any text that referenced them.
  • I excluded the initial instructions at the top of th
@ttesmer
ttesmer / AD.hs
Last active December 27, 2025 06:03
Automatic Differentiation in 38 lines of Haskell using Operator Overloading and Dual Numbers. Inspired by conal.net/papers/beautiful-differentiation
{-# LANGUAGE TypeSynonymInstances #-}
data Dual d = D Float d deriving Show
type Float' = Float
diff :: (Dual Float' -> Dual Float') -> Float -> Float'
diff f x = y'
where D y y' = f (D x 1)
class VectorSpace v where
zero :: v
@ByteSizedMarius
ByteSizedMarius / ExtractSavedPlacesGMaps.md
Last active January 6, 2026 16:07
Google Maps: Extract places from shared list

Edit: This doesn't work for lists > 20 items, because pagination does not work. Please see here

This script allows extracting name and coordinates for gmaps shared lists. It is incredibly unstable and may break anytime. Good luck figuring out why, because the syntax is extremely confusing and basically makes no sense at all. Thanks to google for not providing an api for this after LITERALLY 12 YEARS

How to use this script:

  1. Share a list and open the link in a browser window. It will redirect. The new link will look like this: google.com/maps/@<your coords>/data=....
  2. Take the data-portion and paste it into the following link: https://google.com/maps/@/data=?ucbcb=1
@SiddharthShyniben
SiddharthShyniben / sysexits.md
Created February 13, 2022 13:55
System Exit Codes

As in sysexits.h, but in a (sometimes) more accessible place. Formatted painlessly in Vim


According to style(9), it is not a good practice to call exit(3) with arbitrary values to indicate a failure condition when ending a program. Instead, the pre-defined exit codes from sysexits should be used, so the caller of the process can get a rough estimation about the failure class without looking up the source code.

The successful exit is always indicated by a status of 0, or EX_OK. Error numbers begin at EX__BASE to reduce the possibility of clashing with other exit statuses that random programs may already return. The meaning of the codes is approximately as follows:

Exit Code Description
@moyix
moyix / arith1000_t0.1_k0_p0.0_results.txt
Created February 10, 2022 21:52
Data files for GPT-NeoX-20B arithmetic (100 and 1000 questions)
Question Real Guess Correct? RelErr Digits
What is 18857 - 592? 18265 18265 Yes 0.0% 5/5
What is 30752 - 3087? 27665 27365 No 1.1% 4/5
What is 2241 + 19873? 22114 22114 Yes 0.0% 5/5
What is 5412 + 10169? 15581 15581 Yes 0.0% 5/5
What is 11831 - 9178? 2653 3153 No 18.8% 2/4
What is 1701 * 19933? 33906033 33953373 No 0.1% 4/8
What is 11648 + 17851? 29499 30509 No 3.4% 1/5
What is 29253 - 6202? 23051 22151 No 3.9% 3/5
What is 27365 + 24989? 52354 53554 No 2.3% 3/5