Videos: Difference between revisions

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|[[Sam Altman]] || 2021 || [[The Future of AI Research from DALL-E to GPT-3]] || ★★
|[[Sam Altman]] || 2021 || [[The Future of AI Research from DALL-E to GPT-3]] || ★★
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|[[Yannic Kilcher]] || 2021 || [[How far can we scale up? Deep Learning’s Diminishing Returns]] || Article Review)]] || ★★
|[[Yannic Kilcher]] || 2021 || [[How far can we scale up? Deep Learning’s Diminishing Returns (Article Review)]] || ★★
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|[[Two Minute Papers]] || 2021 || [[Watch Tesla’s Self-Driving Car Learning in a Simulation]] || ★★
|[[Two Minute Papers]] || 2021 || [[Watch Tesla’s Self-Driving Car Learning in a Simulation]] || ★★
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|[[NeatAI]] || 2022 || [[AI Learns NEAT Pacman Solution]] || ★★
|[[NeatAI]] || 2022 || [[AI Learns NEAT Pacman Solution]] || ★★
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|[[Yannic Kilcher]] || 2022 || [[Grokking: Generalization beyond Overfitting on small algorithmic datasets]] || Paper Explained)]] || ★★
|[[Yannic Kilcher]] || 2022 || [[Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)]] || ★★
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|[[The Third Build]] || 2022 || [[How an AI is Becoming the World’s Best Pokemon Player]] || ★★
|[[The Third Build]] || 2022 || [[How an AI is Becoming the World’s Best Pokemon Player]] || ★★

Revision as of 17:16, 11 February 2023

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See also: Guides
Channel Date Video Name Rating
Eliezer Yudkowsky 2007 Introducing the Singularity: Three Major Schools of Thought ★★★★
Eliezer Yudkowsky 2017 Difficulties of Artificial General Intelligence Alignment ★★★★
Eric Elliott 2020 What it’s like to be a Computer: An Interview with GPT-3 ★★★★
Ethan Caballero 2022 Broken Neural Scaling Laws ★★★
Yannic Kilcher 2017 Attention is all you need ★★★
OpenAI 2019 Multi Agent Hide and Seek ★★★
WSJ 2019 How China is Using Artificial Intelligence in Classrooms ★★★
Yannic Kilcher 2020 GPT-3: Language Models are Few Shot Learners paper explained) ★★★
Eliezer Yudkowsky 2012 Intelligence Explosion ★★
OpenAI 2017 Dota2 ★★
Fei Fei Li 2018 How to make AI that’s good for people ★★
George Hotz 2019 Jailbreaking the Simulation with George Hotz ★★
Lex Fridman 2019 Deep Learning Basics: Introduction and Overview ★★
Sam Altman 2020 Sam Altman talks about AI at Big Compute 20 Tech Conference ★★
Two Minute Papers 2020 OpenAI GPT-3 - Good at Almost Everything ★★
Jack Soslow 2020 Two AIs talking to each other ★★
Lex Fridman 2020 GPT-3 vs Human Brain ★★
Harrison Kinsley and Daniel Kukiela 2020 Neural Networks from Scratch - p.3 The Dot Product ★★
Lex Fridman 2020 Deep Learning State of the Art ★★
Bycloud 2020 What Happens When AI Robots Design Themselves ★★
Two Minute Papers 2020 MuZero: DeepMind’s New AI Mastered More Than 50 Games ★★
Mira Murati 2020 Ensuring AGI benefits all of humanity ★★
Two Minute Papers 2020 Can an AI Design Our Tax Policy? ★★
Neat AI 2021 Lenia — Conway’s game of life arrives in the 21st century ★★
Sam Altman 2021 The Future of AI Research from DALL-E to GPT-3 ★★
Yannic Kilcher 2021 How far can we scale up? Deep Learning’s Diminishing Returns (Article Review) ★★
Two Minute Papers 2021 Watch Tesla’s Self-Driving Car Learning in a Simulation ★★
Ethan Caballero 2022 Scale is all you need ★★
Two Minute Papers 2022 DeepMind AlphaFold A Gift to Humanity ★★
OpenAI 2022 Aligning AI Systems with Human Intent ★★
NeatAI 2022 AI Learns NEAT Pacman Solution ★★
Yannic Kilcher 2022 Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained) ★★
The Third Build 2022 How an AI is Becoming the World’s Best Pokemon Player ★★
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