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(Created page with "{{Needs Expansion}} {{see also|Guides}} {| class="wikitable sortable" |- !Guest !Podcast !Episode !Date !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 Caballer...")
 
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{| class="wikitable sortable"
{| class="wikitable sortable"
|-
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!Guest
!Creator
!Podcast
!Episode
!Date
!Date
!Video Name
!Link
!Rating
!Rating
|-
|-
|[[Eliezer Yudkowsky]] || 2007 || [[Introducing the Singularity: Three Major Schools of Thought]] || ★★★★
|[[Eliezer Yudkowsky]] || 2007 || [[Introducing the Singularity: Three Major Schools of Thought]] ||  || ★★★★
|-
|-
|[[Eliezer Yudkowsky]] || 2017 || [[Difficulties of Artificial General Intelligence Alignment]] || ★★★★
|[[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]] || ★★★★
|[[Eric Elliott]] || 2020 || [[What it’s like to be a Computer: An Interview with GPT-3]] ||  || ★★★★
|-
|-
|[[Ethan Caballero]] || 2022 || [[Broken Neural Scaling Laws]] || ★★★
|[[Ethan Caballero]] || 2022 || [[Broken Neural Scaling Laws]] ||  || ★★★
|-
|-
|[[Yannic Kilcher]] || 2017 || [[Attention is all you need]] || ★★★
|[[Yannic Kilcher]] || 2017 || [[Attention is all you need]] ||  || ★★★
|-
|-
|[[OpenAI]] || 2019 || [[Multi Agent Hide and Seek]] || ★★★
|[[OpenAI]] || 2019 || [[Multi Agent Hide and Seek]] ||  || ★★★
|-
|-
|[[WSJ]] || 2019 || [[How China is Using Artificial Intelligence in Classrooms]] || ★★★
|[[WSJ]] || 2019 || [[How China is Using Artificial Intelligence in Classrooms]] ||  || ★★★
|-
|-
|[[Yannic Kilcher]] || 2020 || [[GPT-3: Language Models are Few Shot Learners paper explained)]] || ★★★
|[[Yannic Kilcher]] || 2020 || [[GPT-3: Language Models are Few Shot Learners paper explained)]] ||  || ★★★
|-
|-
|[[Eliezer Yudkowsky]] || 2012 || [[Intelligence Explosion]] || ★★
|[[Eliezer Yudkowsky]] || 2012 || [[Intelligence Explosion]] ||  || ★★
|-
|-
|[[OpenAI]] || 2017 || [[Dota2]] || ★★
|[[OpenAI]] || 2017 || [[Dota2]] ||  || ★★
|-
|-
|[[Fei Fei Li]] || 2018 || [[How to make AI that’s good for people]] || ★★
|[[Fei Fei Li]] || 2018 || [[How to make AI that’s good for people]] ||  || ★★
|-
|-
|[[George Hotz]] || 2019 || [[Jailbreaking the Simulation with George Hotz]] || ★★
|[[George Hotz]] || 2019 || [[Jailbreaking the Simulation with George Hotz]] ||  || ★★
|-
|-
|[[Lex Fridman]] || 2019 || [[Deep Learning Basics: Introduction and Overview]] || ★★
|[[Lex Fridman]] || 2019 || [[Deep Learning Basics: Introduction and Overview]] ||  || ★★
|-
|-
|[[Sam Altman]] || 2020 || [[Sam Altman talks about AI at Big Compute 20 Tech Conference]] || ★★
|[[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]] || ★★
|[[Two Minute Papers]] || 2020 || [[OpenAI GPT-3 - Good at Almost Everything]] ||  || ★★
|-
|-
|[[Jack Soslow]] || 2020 || [[Two AIs talking to each other]] || ★★
|[[Jack Soslow]] || 2020 || [[Two AIs talking to each other]] ||  || ★★
|-
|-
|[[Lex Fridman]] || 2020 || [[GPT-3 vs Human Brain]] || ★★
|[[Lex Fridman]] || 2020 || [[GPT-3 vs Human Brain]] ||  || ★★
|-
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|[[Harrison Kinsley and Daniel Kukiela]] || 2020) – Neural Networks from Scratch - p.3 The Dot Product]] || ★★
|[[Harrison Kinsley and Daniel Kukiela]] || 2020 || [[Neural Networks from Scratch - p.3 The Dot Product]] ||  || ★★
|-
|-
|[[Lex Fridman]] || 2020 || [[Deep Learning State of the Art]] || ★★
|[[Lex Fridman]] || 2020 || [[Deep Learning State of the Art]] ||  || ★★
|-
|-
|[[Bycloud]] || 2020 || [[What Happens When AI Robots Design Themselves]] || ★★
|[[Bycloud]] || 2020 || [[What Happens When AI Robots Design Themselves]] ||  || ★★
|-
|-
|[[Two Minute Papers]] || 2020 || [[MuZero: DeepMind’s New AI Mastered More Than 50 Games]] || ★★
|[[Two Minute Papers]] || 2020 || [[MuZero: DeepMind’s New AI Mastered More Than 50 Games]] ||  || ★★
|-
|-
|[[Mira Murati]] || 2020 || [[Ensuring AGI benefits all of humanity]] || ★★
|[[Mira Murati]] || 2020 || [[Ensuring AGI benefits all of humanity]] ||  || ★★
|-
|-
|[[Two Minute Papers]] || 2020 || [[Can an AI Design Our Tax Policy?]] || ★★
|[[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]] || ★★
|[[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]] || ★★
|[[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)]] || ★★
|[[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]] || ★★
|[[Two Minute Papers]] || 2021 || [[Watch Tesla’s Self-Driving Car Learning in a Simulation]] ||  || ★★
|-
|-
|[[Ethan Caballero]] || 2022 || [[Scale is all you need]] || ★★
|[[Ethan Caballero]] || 2022 || [[Scale is all you need]] ||  || ★★
|-
|-
|[[Two Minute Papers]] || 2022 || [[DeepMind AlphaFold A Gift to Humanity]] || ★★
|[[Two Minute Papers]] || 2022 || [[DeepMind AlphaFold A Gift to Humanity]] ||  || ★★
|-
|-
|[[OpenAI]] || 2022 || [[Aligning AI Systems with Human Intent]] || ★★
|[[OpenAI]] || 2022 || [[Aligning AI Systems with Human Intent]] ||  || ★★
|-
|-
|[[NeatAI]] || 2022 || [[AI Learns NEAT Pacman Solution]] || ★★
|[[NeatAI]] || 2022 || [[AI Learns NEAT Pacman Solution]] ||  || ★★
|-
|-
|[[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]] ||  || ★★
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|}
|}

Latest revision as of 17:22, 11 February 2023

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See also: Guides
Creator Date Video Name Link 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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