Alexander Jakob Dautel howtodowtle

This is a post by Joel Spolsky. The original post is linked at the bottom.

This is such a common question here and elsewhere that I will attempt to write the world's most canonical answer to this question. Hopefully in the future when someone on answers.onstartups asks how to split up the ownership of their new company, you can simply point to this answer.

The most important principle: Fairness, and the perception of fairness, is much more valuable than owning a large stake. Almost everything that can go wrong in a startup will go wrong, and one of the biggest things that can go wrong is huge, angry, shouting matches between the founders as to who worked harder, who owns more, whose idea was it anyway, etc. That is why I would always rather split a new company 50-50 with a friend than insist on owning 60% because "it was my idea," or because "I was more experienced" or anything else. Why? Because if I split the company 60-40, the company is going to fail when we argue ourselves to death. And if you ju

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A criticism of "On the Dangers of Stochastic Parrots: Can Languae Models be Too Big"

Yoav Goldberg, Jan 23, 2021.

The FAccT paper "On the Dangers of Stochastic Parrots: Can Languae Models be Too Big" by Bender, Gebru, McMillan-Major and Shmitchell has been the center of a controversary recently. The final version is now out, and, owing a lot to this controversary, would undoubtly become very widely read. I read an earlier draft of the paper, and I think that the new and updated final version is much improved in many ways: kudos for the authors for this upgrade. I also agree with and endorse most of the content. This is important stuff, you should read it.

However, I do find some aspects of the paper (and the resulting discourse around it and around technology) to be problematic. These weren't clear to me when initially reading the first draft several months ago, but they became very clear to me now. These points are for the most part

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	#!/bin/bash
	sudo add-apt-repository -y ppa:git-core/ppa
	sudo apt-get update
	sudo apt-get install git -y

	### Kaggle Days SF: Hackathon submission (8th place)

	# I used the latest version of H2O (3.24.0.1)
	# Latest stable always here: http://h2o-release.s3.amazonaws.com/h2o/latest_stable.html
	# H2O 3.24.0.1: http://h2o-release.s3.amazonaws.com/h2o/rel-yates/1/index.html
	# If you are a Python user, you can use the demo Python code available on the H2O AutoML User Guide
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	# Unfortunately it was a private competition, so the data is not publicly available!

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	build-essential pkg-config autoconf bison rustc cargo clang \

	#include <stdio.h>
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	#ifndef M_PI
	#define M_PI 3.14159265358979323846
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	// Constants for model dimensions, learning rate, etc.

	# -----------------------------------------------------------------------------
	# AI-powered Git Commit Function
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	# 2) sends them to an LLM to write the git commit message
	# 3) allows you to easily accept, edit, regenerate, cancel
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	# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/

	gcm() {

Alexander Jakob Dautel howtodowtle

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A criticism of "On the Dangers of Stochastic Parrots: Can Languae Models be Too Big"

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