Igor Delovski Board

[Ike]

Jack Voytko: Number Theory for Programmers, Part 1

"Number theory is the study of numbers, their properties, and what can be
inferred from their properties. For programmers, it is most practical to focus
on the theory of positive integers."

[delovski]

reddit - A Simple Programming Puzzle Seen Through Three Different Lenses

"Take the names of two U.S. States, mix them all together, then rearrange
the letters to form the names of two other U.S. States. What states are these?"

[admin]

RC: How does the calculator percent key work?

"Therefore, the behavior of the key to you, an engineer, seems bizarrely
counter-intuitive and even buggy. But to an everyday person, it makes
perfect sense. Or at least that's the theory."

[delovski]

Datawocky - More data usually beats better algorithms

"To sum up, if you have limited resources, add more data rather than fine-
tuning the weights on your fancy machine-learning algorithm. Of course,
you have to be judicious in your choice of the data to add to your data set."

[Ike]

RC: GUIDs are globally unique, but substrings of GUIDs aren't

"Once you take it apart, the bits of the GUID break down like this:

* 60 bits of timestamp,
* 48 bits of computer identifier,
* 14 bits of uniquifier, and
* six bits are fixed,

for a total of 128 bits."

[delovski]

Slashdot - What Every Programmer Should Know About Floating
Point Arithmetic

"Every programmer forum gets a steady stream of novice questions about
numbers not 'adding up.' Apart from repetitive explanations, SOP is to link
to a paper by David Goldberg which, while very thorough, is not very ac-
cessible for novices. To alleviate this, I wrote The Floating-Point Guide, as
a floating-point equivalent to Joel Spolsky's excellent introduction to Uni-
code.

In doing so, I learned quite a few things about the intricacies of the IEEE
754 standard, and just how difficult it is to compare floating-point numb-
ers using an epsilon. If you find any errors or omissions, you can suggest
corrections."

[Ike]

GameInternals - Understanding Pac-Man Ghost Behavior

"Not too long ago, I came across Jamey Pittman’s “Pac-Man Dossier”, which
is a ridiculously-detailed explanation of the mechanics of Pac-Man. I found it
absolutely fascinating, so this site is my attempt to discover and aggregate
similarly-detailed information about other games (albeit in much smaller
chunks)."

[Ike]

https://medium.com/on-coding/automations-impact-on-jobs-what-s-happened-in-just-6-weeks-f74768ca2d46#.p5guqx7v3

Automation's impact on jobs: what's happened in just 6 weeks.

[Ike]

Artificial intelligence is ripe for abuse, tech executive warns: 'a fascist's dream'

All of these movements have shared characteristics, including the desire to centralize power, track populations, demonize outsiders and claim authority and neutrality without being accountable. Machine intelligence can be a powerful part of the power playbook, she said.

[delovski]

imgur - Sorting Algorithms Visualized

r - Sorting algorithms visualized [OC]

"Just watched 5 mins of colors being sorted, I regret nothing."

[Ike]

https://old.reddit.com/r/programming/comments/b4m4hq/moravecs_paradox_highlevel_reasoning_requires/

Moravec's paradox: high-level reasoning requires very little computation, but low-level sensorimotor skills require enormous computational resources.

[Ike]

eversql.com - Free Text to SQL, AI-powered

"Auto-generate SQL queries from text for free. Just select your database type
and write a textual description of the SQL query"

[Ike]

Y! - Calling ChatGPT on its 'bulls***'

"And then: 'I apologize for the incorrect information I provided in my previous
response,' it said. 'It appears that there was a misunderstanding on my part,
and I am sorry for any confusion this may have caused.

I'll say this much for AI. I've caught quite a few politicians over the years in
falsehoods and lies. But I've rarely gotten such a forthright apology."

[Ike]

gamedev.net - The Total Beginner's Guide to Game AI

... via https://www.reddit.com/r/gamedev/comments/96uaqq/the_total_beginners_guide_to_game_ai/

"This article will introduce you to a range of introductory concepts used in
artificial intelligence for games (or 'Game AI' for short) so that you can
understand what tools are available for approaching your AI problems, how
they work together, and how you might start to implement them in the
language or engine of your choice."

[Ike]

git - llama2.c

"You might think that you need many billion parameter LLMs to do anything
useful, but in fact very small LLMs can have surprisingly strong performance
if you make the domain narrow enough (ref: TinyStories paper). This repo is a
'fullstack' train + inference solution for Llama 2 LLM, with focus on minimalism
and simplicity."

[Ike]

favtutor.com - Here's What Developers Found After Testing Devin AI

"All the reactions and tests by developers mentioned above have highly
enjoyed and experienced Devin's capabilities first-hand. The early access phase
has mostly been positive. Users have hardly had any issues with the tool,
except for the one fact that the tool is slow when it comes to code processing
and repository cloning."

[Ike]

r - I built a game in 7 Days using mostly Cursor AI

"Decided to go all-in with AI. Although I've been using an unofficial Copilot
extension for XCode for quite a while, for this project, I decided to use
primarily Cursor with Claude Sonnet model and Sweetpad extension, and holy,
it actually worked decently well. Gave it the game rules, and 15 minutes later
had a working prototype with all the views, models, game logic separated into
different files."