alexandremcosta

VictorTaelin

function push(new_state, states) {
  if (states === null) {
    return {keep: 0, life: 0, state: new_state, older: null};
  } else {
    var {keep, life, state, older} = states;
    if (keep === 0) {
      return {keep: 1, life, state, older};
    } else {
      if (life > 0) {
        return {keep: 0, life: 0, state: new_state, older: {keep: 0, life: life - 1, state, older}};

EduardoRFS

Examples

[@import stdlib.http.v1];

(x => y => (x_plus_y: x + y) => );

((A, x))
(f: () -> (A: *, x: A)) =>
  (A, x) = (f ());

noghartt

Books

A list of links containing cool references, resources and things related to books about Computer Science and related.

• Haskell Programming for First Principles
• Types and Programming Languages #math/type-theory
• Essentials of Compilation #computer-science/compilers
• How to design computer programs
• Structure and Interpretation of Computer Programs
• Introduction to Theory of Computation, Michael Sipser #computer-science/theory-of-computation

VictorTaelin

Solving SAT via interaction net superpositions

I've recently been amazed, if not mind-blown, by how a very simple, "one-line" SAT solver on Interaction Nets can outperform brute-force by orders of magnitude by exploiting "superposed booleans" and optimal evaluation of λ-expressions. In this brief note, I'll provide some background for you to understand how this works, and then I'll present a simple code you can run in your own computer to observe and replicate this effect. Note this is a new observation, so I know little about how this algorithm behaves asymptotically, but I find it quite

Zafnok

Understanding how HVM works

Introduction

HVM takes the ideas of Interaction Combinators and combines it with the ideas of Type Systems, Functional Programming, and Compilers, to create an implementation of Yves Lafont's ideas into a highly parallelized runtime.

Resources

Start with the HVM whitepaper and HOW page of the repo, and if that makes sense to you, great! You're probably too smart for everything after. Otherwise, read into the next sections to develop the knowledge you're missing.

Intro to Lambda Calculus

Much of the Interaction Combinator papers are written with an audience presumed to be familiar with lambda calculus, so it is good to have some knowledge here before jumping into the Interaction Combinators section.

• [Programming Languages](htt

VictorTaelin

Higher-Order Company: Complete Historical Overview

This document is a complete historical overview of the Higher Order Company. If you want to learn anything about our background, a good way to do so is to feed this Gist into an AI (like Sonnet-3.5) and ask it any question!

My Search for a Perfect Language

It all started around 2015. I was an ambitious 21-year-old CS student who, somehow, had been programming for the last 10 years, and I had a clear goal:

I want to become the greatest programmer alive

VictorTaelin

Fast Discrete Program Search 2

I am investigating how to use Bend (a parallel language) to accelerate Symbolic AI; in special, Discrete Program Search. Basically, think of it as an alternative to LLMs, GPTs, NNs, that is also capable of generating code, but by entirely different means. This kind of approach was never scaled with mass compute before - it wasn't possible! - but Bend changes this. So, my idea was to do it, and see where it goes.

Now, while I was implementing some candidate algorithms on Bend, I realized that, rather than mass parallelism, I could use an entirely different mechanism to speed things up: SUP Nodes. Basically, it is a feature that Bend inherited from its underlying model ("Interaction Combinators") that, in simple terms, allows us to combine multiple functions into a single superposed one, and apply them all to an argument "at the same time". In short, it allows us to call N functions at a fraction of the expected cost. Or, in simple terms: why parallelize when we can share?

A

VictorTaelin

import Control.Monad (forM_)
import Data.Char (chr, ord)
import Debug.Trace
import Prelude hiding (LT, GT, EQ)
import System.Environment (getArgs)
import System.Exit (exitFailure)
import Text.Parsec ((<|>))
import qualified Data.Map.Strict as M
import qualified Text.Parsec as P

VictorTaelin

Company:

• HOC: Towards an Optimal Computer: why interaction paradigm can improve computers.
• HOC: Can we build an optimal processor?: like above, but as a tweet.
• HOC: Complete Historical Overview: the lore behind HOC's creation.

Theory:

• Interaction Combinators - Y.Lafont 1997: a concurrent model of computation
• Symmetric Interaction Combinators - Damiano Mazza 2009: a symmetric variant (used by HVM)
• The Optimal Implementation of Functional Programming Languages - best book to learn
• [BOHM](https://www.cambridge.org/core/services/aop-cambridge-core/content/