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Bit of a Tangent

Gianluca Truda and Jared Tumiel

19
Followers
28
Plays
Bit of a Tangent

Bit of a Tangent

Gianluca Truda and Jared Tumiel

19
Followers
28
Plays
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About Us

Each week, two aspiring rationalists bring you mind-bending ideas from science, philosophy, artificial intelligence, and medicine. Whether you enjoy wide-ranging discussions or are looking to upgrade your reasoning and critical thinking skills, this podcast will satisfy your intellectual hunger and sharpen your skeptical eye.

Latest Episodes

026 | Drink and be Rational

E[Epistemic status: slightly intoxicated]Jared and Gianluca exchange rapid-fire questions whilst becoming increasingly inebriated. Think of this episode as the Ferriss/Rose “Random Show,” but with more references to Bayesian inference. It’s pretty likely to entertain you, but hopefully you’ll find it interesting too. Topics include Email response times, VR projects, and the statistical approach to an ethical diet.--------Shownotes:--------Jared on Twitter: www.twitter.com/jnearestnGianluca on Twitter: www.twitter.com/QVagabondBit of a Tangent on Twitter (www.twitter.com/podtangent) and Instagram (instagram.com/podtangent/)Last episode: https://www.podtangent.com/e/025-self-supervised-machine-learning-introduction-intuitions-and-use-cases/The Game Changers: www.imdb.com/title/tt7455754/?ref_=fn_al_tt_1Joe Rogan Experience #1389 - Chris Kresser Debunks "The Gamechangers" Documentary: www.youtube.com/watch?v=Dq4Apc2Xk7QSam Altman on Conversations with Tyler: conversationswithtyler.com/episodes/sam-altman/Top 19 Ideas from 2019: www.podtangent.com/e/021-the-top-19-ideas-from-2019/Jared’s Twitter thread (19 ideas I couldn't stop thinking about in 2019): https://twitter.com/jnearestn/status/1211681767742156803Donald Knuth on Lex Fridman’s podcast: https://lexfridman.com/donald-knuth/Glen Weyl on the 80000 Hours podcast: https://soundcloud.com/80000-hours/glen-weyl-radically-reforming-capitalism-and-democracyEric and Brett Weinstein talking about DISC and the failings of peer review on The Portal: https://podcasts.apple.com/us/podcast/19-bret-weinstein-the-prediction-and-the-disc/id1469999563?i=1000462975502Gianluca’s paper on arXiv: https://arxiv.org/abs/1907.05363This equation will change how you see the world by Veritasium: www.youtube.com/watch?v=ovJcsL7vyrk

67 MINMAR 11
Comments
026 | Drink and be Rational

025 | Self-Supervised Machine Learning: Introduction, Intuitions, and Use-Cases

On this episode of Bit of A Tangent, we discuss the emerging field of self-supervised machine learning. This is an immensely exciting area of active research in machine learning and AI - one which most people haven’t even heard about yet! We build up to the intuition for the topic by covering supervised and unsupervised learning; autoencoders and dimensionality reduction, and exploring how these techniques could be applied to Gianluca’s Quantified Self n=1 sleep quality dataset. We culminate in a detailed discussion of the state-of-the-art Contrastive Predictive Coding model, and how it allows us to learn about the structure of the world, without tonnes of labelled training data!--------Shownotes:--------Jared on Twitter:www.twitter.com/jnearestnGianluca on Twitter:www.twitter.com/QVagabondBit of a Tangent on Twitter (www.twitter.com/podtangent) and Instagram (instagram.com/podtangent/)Summer school on Computational Neuroscience: http://imbizo.africa/Control problem in AI: https://intelligence.org/stanford-talk/Coordination problem: https://conceptually.org/concepts/coordination-problemsDeep learning overview: https://lilianweng.github.io/lil-log/2017/06/21/an-overview-of-deep-learning.htmlt-SNE explained: https://mlexplained.com/2018/09/14/paper-dissected-visualizing-data-using-t-sne-explained/Variational autoencoders explained: https://anotherdatum.com/vae.htmlSelf-supervised learning by fast.ai: https://www.fast.ai/2020/01/13/self_supervised/CPC model papers on Arxiv: https://arxiv.org/pdf/1807.03748.pdf https://arxiv.org/pdf/1905.09272.pdfBlog posts explaining CPC: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.htmlhttps://yann-leguilly.gitlab.io/post/2019-09-29-representation-learning-with-contrastive-predictive-coding/https://mf1024.github.io/2019/05/27/contrastive-predictive-coding/

91 MINMAR 5
Comments
025 | Self-Supervised Machine Learning: Introduction, Intuitions, and Use-Cases

024 | Replacing Guilt

Gianluca announces his latest project—the audio version of Nate Soares’ Replacing Guilt series—and Jared explains why it’s a notable contribution to the rationalist community. Together, they discuss how to gain the most from listening to the series and why it’s something you should strongly consider doing if you often find yourself binging Netflix until 3 AM.Shownotes at podtangent.com

19 MINFEB 19
Comments
024 | Replacing Guilt

023 | Are Brains Just Neural Nets?

EJared and Gianluca have an uncompromising exchange about computational neuroscience and its implications for life and AI research. Shownotes at podtangent.com

44 MINJAN 29
Comments
023 | Are Brains Just Neural Nets?

022 | 6 Books You Need to Read in 2020… and 1 You Probably Shouldn’t

EGianluca presents his much-requested three non-fiction and three fiction recommendations for 2020. Jared recommends a book so long and gripping that you should probably avoid it if you have anything productive to do in the next six months.Shownotes at podtangent.com

45 MINJAN 21
Comments
022 | 6 Books You Need to Read in 2020… and 1 You Probably Shouldn’t

021 | The Top 19 Ideas from 2019

EBit of a Tangent is back! In this episode, Jared shares the 19 ideas he couldn’t stop thinking about in 2019, whilst Gianluca does two B-grade Joe Rogan impressions. Together, they discuss everything from mechanism design to personal fitness hacks, and throw in some recommendations for supercharging your learning in the new year. Strap yourselves in for a taste of the fascinating conversations that lie ahead in 2020! Find shownotes at podtangent.com

57 MINJAN 14
Comments
021 | The Top 19 Ideas from 2019

020 | Mental Models 3: Fantastic Biases and Where To Find Them

EThis is part 3 of the series on Mental Models, in which Gianluca and Jared discuss the cognitive biases that often impede aspiring rationalists. They discuss the idea of “System 1 and 2” thinking as a framing for the entire discussion, before exploring 12 of the most deadly thinking traps and how to avoid them. This includes everything from the Planning Fallacy and Anchoring, to more esoteric pitfalls that are yet to be named. Finally, they describe meta-biases—like the Bias Blindspot and the Fallacy Fallacy—equipping your mental toolkit with everything you need to upgrade your thinking.Shownotes at podtangent.com

68 MIN2019 NOV 5
Comments
020 | Mental Models 3: Fantastic Biases and Where To Find Them

019 | Mental Models 2: How To Think Like A Bayesian, Avoid Black Swans, & Know The Value of Your Decisions

EThis is part 2 of our series on Mental Models. In it, we’re bringing you the most useful and applicable models we’ve encountered in everything we’ve read, heard or seen over the years! In part 2 we unpack models from Bayesian reasoning, calibration, and expected value. We also cover fat-tailed distributions, counterfactual reasoning, inversion, and red-teaming. Throughout, we build up each model with examples and motivations, and often found ourselves making previously unseen (by us) links to other models which gave us several new insights. We hope this conversation will do the same for you!

55 MIN2019 OCT 28
Comments
019 | Mental Models 2: How To Think Like A Bayesian, Avoid Black Swans, & Know The Value of Your Decisions

018 | Mental Models 1: How To Have Better Ideas and Improve Your Thinking

EThis is part 1 of a new series on Mental Models - tips, tricks, and tools to add to your mental toolbox. In this episode we introduce the concept of a mental model but then quickly dive in to explanations of the most powerful models we’ve encountered. Join us and learn how to make better decisions (or know when a decision is not worth making), how to have more original and impactful ideas (and how to find the most promising ideas to work on out of the thousands you’ll soon have), and when tidying up your messy desk is just plain wrong (sorry, Marie Kondo!)

53 MIN2019 OCT 23
Comments
018 | Mental Models 1: How To Have Better Ideas and Improve Your Thinking

017 | Bronwyn Williams: Universal Basic Income & Individual Sovereignty

EThis episode features the much-anticipated conversation with Bronwyn Williams on the topic of Universal Basic Income (UBI). Bronwyn is a futurist and trend analyst with a background in marketing and economics. Gianluca and Jared pick her brain about the economic viability of UBI, the influence of politics and big tech, and the trends in automation that will shape the future of humanity. Regardless of your fiscal intuitions or political leanings, this episode will equip you with the core arguments in the UBI debate and leave you with plenty of food for thought. Shownotes at podtangent.com

85 MIN2019 OCT 14
Comments
017 | Bronwyn Williams: Universal Basic Income & Individual Sovereignty

Latest Episodes

026 | Drink and be Rational

E[Epistemic status: slightly intoxicated]Jared and Gianluca exchange rapid-fire questions whilst becoming increasingly inebriated. Think of this episode as the Ferriss/Rose “Random Show,” but with more references to Bayesian inference. It’s pretty likely to entertain you, but hopefully you’ll find it interesting too. Topics include Email response times, VR projects, and the statistical approach to an ethical diet.--------Shownotes:--------Jared on Twitter: www.twitter.com/jnearestnGianluca on Twitter: www.twitter.com/QVagabondBit of a Tangent on Twitter (www.twitter.com/podtangent) and Instagram (instagram.com/podtangent/)Last episode: https://www.podtangent.com/e/025-self-supervised-machine-learning-introduction-intuitions-and-use-cases/The Game Changers: www.imdb.com/title/tt7455754/?ref_=fn_al_tt_1Joe Rogan Experience #1389 - Chris Kresser Debunks "The Gamechangers" Documentary: www.youtube.com/watch?v=Dq4Apc2Xk7QSam Altman on Conversations with Tyler: conversationswithtyler.com/episodes/sam-altman/Top 19 Ideas from 2019: www.podtangent.com/e/021-the-top-19-ideas-from-2019/Jared’s Twitter thread (19 ideas I couldn't stop thinking about in 2019): https://twitter.com/jnearestn/status/1211681767742156803Donald Knuth on Lex Fridman’s podcast: https://lexfridman.com/donald-knuth/Glen Weyl on the 80000 Hours podcast: https://soundcloud.com/80000-hours/glen-weyl-radically-reforming-capitalism-and-democracyEric and Brett Weinstein talking about DISC and the failings of peer review on The Portal: https://podcasts.apple.com/us/podcast/19-bret-weinstein-the-prediction-and-the-disc/id1469999563?i=1000462975502Gianluca’s paper on arXiv: https://arxiv.org/abs/1907.05363This equation will change how you see the world by Veritasium: www.youtube.com/watch?v=ovJcsL7vyrk

67 MINMAR 11
Comments
026 | Drink and be Rational

025 | Self-Supervised Machine Learning: Introduction, Intuitions, and Use-Cases

On this episode of Bit of A Tangent, we discuss the emerging field of self-supervised machine learning. This is an immensely exciting area of active research in machine learning and AI - one which most people haven’t even heard about yet! We build up to the intuition for the topic by covering supervised and unsupervised learning; autoencoders and dimensionality reduction, and exploring how these techniques could be applied to Gianluca’s Quantified Self n=1 sleep quality dataset. We culminate in a detailed discussion of the state-of-the-art Contrastive Predictive Coding model, and how it allows us to learn about the structure of the world, without tonnes of labelled training data!--------Shownotes:--------Jared on Twitter:www.twitter.com/jnearestnGianluca on Twitter:www.twitter.com/QVagabondBit of a Tangent on Twitter (www.twitter.com/podtangent) and Instagram (instagram.com/podtangent/)Summer school on Computational Neuroscience: http://imbizo.africa/Control problem in AI: https://intelligence.org/stanford-talk/Coordination problem: https://conceptually.org/concepts/coordination-problemsDeep learning overview: https://lilianweng.github.io/lil-log/2017/06/21/an-overview-of-deep-learning.htmlt-SNE explained: https://mlexplained.com/2018/09/14/paper-dissected-visualizing-data-using-t-sne-explained/Variational autoencoders explained: https://anotherdatum.com/vae.htmlSelf-supervised learning by fast.ai: https://www.fast.ai/2020/01/13/self_supervised/CPC model papers on Arxiv: https://arxiv.org/pdf/1807.03748.pdf https://arxiv.org/pdf/1905.09272.pdfBlog posts explaining CPC: https://lilianweng.github.io/lil-log/2019/11/10/self-supervised-learning.htmlhttps://yann-leguilly.gitlab.io/post/2019-09-29-representation-learning-with-contrastive-predictive-coding/https://mf1024.github.io/2019/05/27/contrastive-predictive-coding/

91 MINMAR 5
Comments
025 | Self-Supervised Machine Learning: Introduction, Intuitions, and Use-Cases

024 | Replacing Guilt

Gianluca announces his latest project—the audio version of Nate Soares’ Replacing Guilt series—and Jared explains why it’s a notable contribution to the rationalist community. Together, they discuss how to gain the most from listening to the series and why it’s something you should strongly consider doing if you often find yourself binging Netflix until 3 AM.Shownotes at podtangent.com

19 MINFEB 19
Comments
024 | Replacing Guilt

023 | Are Brains Just Neural Nets?

EJared and Gianluca have an uncompromising exchange about computational neuroscience and its implications for life and AI research. Shownotes at podtangent.com

44 MINJAN 29
Comments
023 | Are Brains Just Neural Nets?

022 | 6 Books You Need to Read in 2020… and 1 You Probably Shouldn’t

EGianluca presents his much-requested three non-fiction and three fiction recommendations for 2020. Jared recommends a book so long and gripping that you should probably avoid it if you have anything productive to do in the next six months.Shownotes at podtangent.com

45 MINJAN 21
Comments
022 | 6 Books You Need to Read in 2020… and 1 You Probably Shouldn’t

021 | The Top 19 Ideas from 2019

EBit of a Tangent is back! In this episode, Jared shares the 19 ideas he couldn’t stop thinking about in 2019, whilst Gianluca does two B-grade Joe Rogan impressions. Together, they discuss everything from mechanism design to personal fitness hacks, and throw in some recommendations for supercharging your learning in the new year. Strap yourselves in for a taste of the fascinating conversations that lie ahead in 2020! Find shownotes at podtangent.com

57 MINJAN 14
Comments
021 | The Top 19 Ideas from 2019

020 | Mental Models 3: Fantastic Biases and Where To Find Them

EThis is part 3 of the series on Mental Models, in which Gianluca and Jared discuss the cognitive biases that often impede aspiring rationalists. They discuss the idea of “System 1 and 2” thinking as a framing for the entire discussion, before exploring 12 of the most deadly thinking traps and how to avoid them. This includes everything from the Planning Fallacy and Anchoring, to more esoteric pitfalls that are yet to be named. Finally, they describe meta-biases—like the Bias Blindspot and the Fallacy Fallacy—equipping your mental toolkit with everything you need to upgrade your thinking.Shownotes at podtangent.com

68 MIN2019 NOV 5
Comments
020 | Mental Models 3: Fantastic Biases and Where To Find Them

019 | Mental Models 2: How To Think Like A Bayesian, Avoid Black Swans, & Know The Value of Your Decisions

EThis is part 2 of our series on Mental Models. In it, we’re bringing you the most useful and applicable models we’ve encountered in everything we’ve read, heard or seen over the years! In part 2 we unpack models from Bayesian reasoning, calibration, and expected value. We also cover fat-tailed distributions, counterfactual reasoning, inversion, and red-teaming. Throughout, we build up each model with examples and motivations, and often found ourselves making previously unseen (by us) links to other models which gave us several new insights. We hope this conversation will do the same for you!

55 MIN2019 OCT 28
Comments
019 | Mental Models 2: How To Think Like A Bayesian, Avoid Black Swans, & Know The Value of Your Decisions

018 | Mental Models 1: How To Have Better Ideas and Improve Your Thinking

EThis is part 1 of a new series on Mental Models - tips, tricks, and tools to add to your mental toolbox. In this episode we introduce the concept of a mental model but then quickly dive in to explanations of the most powerful models we’ve encountered. Join us and learn how to make better decisions (or know when a decision is not worth making), how to have more original and impactful ideas (and how to find the most promising ideas to work on out of the thousands you’ll soon have), and when tidying up your messy desk is just plain wrong (sorry, Marie Kondo!)

53 MIN2019 OCT 23
Comments
018 | Mental Models 1: How To Have Better Ideas and Improve Your Thinking

017 | Bronwyn Williams: Universal Basic Income & Individual Sovereignty

EThis episode features the much-anticipated conversation with Bronwyn Williams on the topic of Universal Basic Income (UBI). Bronwyn is a futurist and trend analyst with a background in marketing and economics. Gianluca and Jared pick her brain about the economic viability of UBI, the influence of politics and big tech, and the trends in automation that will shape the future of humanity. Regardless of your fiscal intuitions or political leanings, this episode will equip you with the core arguments in the UBI debate and leave you with plenty of food for thought. Shownotes at podtangent.com

85 MIN2019 OCT 14
Comments
017 | Bronwyn Williams: Universal Basic Income & Individual Sovereignty
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