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Speaker Rider

Last updated 14 April 2021

What is a speaker rider?

As speaking comes with immense privilege, I have crafted a speaker rider to set expectations and boundaries around my engagement. I am grateful to all the conference organisers who have brilliantly hosted me. I would love to continue to exercise this privilege to speak at conferences, and use this privilege to make the landscape more accessible and beneficial to tech's most historically excluded and marginalised communities.

Considerations

😫 I provide a lot of explanations for those of you who never had to consider these things. Most thoughtful conferences I've attended check most of these boxes intrinsically, particularly when conference runners are experienced speakers. They get it.

CUSTOM GAME ENGINES: A Small Study

WARNING: Article moved to separate repo to allow users contributions: https://github.com/raysan5/custom_game_engines

A couple of weeks ago I played (and finished) A Plague Tale, a game by Asobo Studio. I was really captivated by the game, not only by the beautiful graphics but also by the story and the locations in the game. I decided to investigate a bit about the game tech and I was surprised to see it was developed with a custom engine by a relatively small studio. I know there are some companies using custom engines but it's very difficult to find a detailed market study with that kind of information curated and updated. So this article.

Nowadays lots of companies choose engines like [Unreal](https:

	//
	// Lookup Tables for Transvoxel's Modified Marching Cubes
	//
	// Unlike the original paper (Marching Cubes: A High Resolution 3D Surface Construction Algorithm), these tables guarantee
	// a closed mesh "whose connected components are continuous and free of holes."
	//
	// Rotations are prioritised over inversions so that 3 of the 6 cases containing ambiguous faces are never added. 3 extra
	// cases are added as a post-process, overriding inverses through custom-build rotations to eliminate the rest.
	//
	// Uses the exact same co-ordinate system as https://gist.github.com/dwilliamson/c041e3454a713e58baf6e4f8e5fffecd

	import random

	# let's fuck around!
	weights = [random.uniform(-1, 1) for _ in range(3)]

	# "out" (ground truth we want to find)
	target = [ord(c) for c in "out"] # ASCII values of 'o', 'u', 't'

	# rate of fucking around
	learning_rate = 0.1