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THE VIDEO SHELF · floating point computing

NaN Gates and Flip FLOPS

Tom Murphy (suckerpinch) presents a deliberately trollish computer architecture built on IEEE-754 floating point, using NaN and infinity to define logic gates. He builds working hardware around the idea.

Why HN readers recommended it

HN fans hold it up as a favorite among his videos and an example of gloriously bonkers technical art, and cite it in floating-point discussions.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
suckerpinch
Topic
floating point computing
Format
demo
Level
intermediate
HN recommenders in dataset
7
HN mentions in dataset
9
Recommendation years in dataset
2020–2025

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Seconded, thirded, and fourthed. My favorite is "NaN Gates and Flip FLOPS", where he dismisses 0 and 1 as being too ugly to be the foundation of all computation and reinvents computing via the beauty of rational numbers, which is to say, the horror of …

    kibwen on Hacker News · 2021-04
    In Uppestcase and Lowestcase Letters
  • Here's my favorite video of his, where he reinvents computing from scratch while eschewing inelegant 1s and 0s for elegant floating-point values: [VIDEO]

    kibwen on Hacker News · 2022-12
    In I ran the length of every street in Pittsburgh: PAC TOM [video]
  • Suckerpinch barely ever releases a video, but when he does they are great. NaN gates and FlipFlops are my favorite: [VIDEO] You can only get good at mathematics by doing, but if there is a channel that helps you get better at math passively it …

    bakuninsbart on Hacker News · 2023-03
    In Ask HN: What are some of the most interesting YouTube channels to follow?

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.