#204 – Nate Silver on making sense of SBF, and his biggest critiques of effective altruism

#204 – Nate Silver on making sense of SBF, and his biggest critiques of effective altruism

Rob Wiblin speaks with FiveThirtyEight election forecaster and author Nate Silver about his new book: On the Edge: The Art of Risking Everything.

Links to learn more, highlights, video, and full transcript.

On the Edge explores a cultural grouping Nate dubs “the River” — made up of people who are analytical, competitive, quantitatively minded, risk-taking, and willing to be contrarian. It’s a tendency he considers himself a part of, and the River has been doing well for itself in recent decades — gaining cultural influence through success in finance, technology, gambling, philanthropy, and politics, among other pursuits.

But on Nate’s telling, it’s a group particularly vulnerable to oversimplification and hubris. Where Riverians’ ability to calculate the “expected value” of actions isn’t as good as they believe, their poorly calculated bets can leave a trail of destruction — aptly demonstrated by Nate’s discussion of the extended time he spent with FTX CEO Sam Bankman-Fried before and after his downfall.

Given this show’s focus on the world’s most pressing problems and how to solve them, we narrow in on Nate’s discussion of effective altruism (EA), which has been little covered elsewhere. Nate met many leaders and members of the EA community in researching the book and has watched its evolution online for many years.

Effective altruism is the River style of doing good, because of its willingness to buck both fashion and common sense — making its giving decisions based on mathematical calculations and analytical arguments with the goal of maximising an outcome.

Nate sees a lot to admire in this, but the book paints a mixed picture in which effective altruism is arguably too trusting, too utilitarian, too selfless, and too reckless at some times, while too image-conscious at others.

But while everything has arguable weaknesses, could Nate actually do any better in practice? We ask him:

  • How would Nate spend $10 billion differently than today’s philanthropists influenced by EA?
  • Is anyone else competitive with EA in terms of impact per dollar?
  • Does he have any big disagreements with 80,000 Hours’ advice on how to have impact?
  • Is EA too big a tent to function?
  • What global problems could EA be ignoring?
  • Should EA be more willing to court controversy?
  • Does EA’s niceness leave it vulnerable to exploitation?
  • What moral philosophy would he have modelled EA on?

Rob and Nate also talk about:

  • Nate’s theory of Sam Bankman-Fried’s psychology.
  • Whether we had to “raise or fold” on COVID.
  • Whether Sam Altman and Sam Bankman-Fried are structurally similar cases or not.
  • “Winners’ tilt.”
  • Whether it’s selfish to slow down AI progress.
  • The ridiculous 13 Keys to the White House.
  • Whether prediction markets are now overrated.
  • Whether venture capitalists talk a big talk about risk while pushing all the risk off onto the entrepreneurs they fund.
  • And plenty more.

Chapters:

  • Cold open (00:00:00)
  • Rob's intro (00:01:03)
  • The interview begins (00:03:08)
  • Sam Bankman-Fried and trust in the effective altruism community (00:04:09)
  • Expected value (00:19:06)
  • Similarities and differences between Sam Altman and SBF (00:24:45)
  • How would Nate do EA differently? (00:31:54)
  • Reservations about utilitarianism (00:44:37)
  • Game theory equilibrium (00:48:51)
  • Differences between EA culture and rationalist culture (00:52:55)
  • What would Nate do with $10 billion to donate? (00:57:07)
  • COVID strategies and tradeoffs (01:06:52)
  • Is it selfish to slow down AI progress? (01:10:02)
  • Democratic legitimacy of AI progress (01:18:33)
  • Dubious election forecasting (01:22:40)
  • Assessing how reliable election forecasting models are (01:29:58)
  • Are prediction markets overrated? (01:41:01)
  • Venture capitalists and risk (01:48:48)

Producer and editor: Keiran Harris
Audio engineering by Ben Cordell, Milo McGuire, Simon Monsour, and Dominic Armstrong
Video engineering: Simon Monsour
Transcriptions: Katy Moore

Avsnitt(299)

#2 - David Spiegelhalter on risk, stats and improving understanding of science

#2 - David Spiegelhalter on risk, stats and improving understanding of science

Recorded in 2015 by Robert Wiblin with colleague Jess Whittlestone at the Centre for Effective Altruism, and recovered from the dusty 80,000 Hours archives. David Spiegelhalter is a statistician at the University of Cambridge and something of an academic celebrity in the UK. Part of his role is to improve the public understanding of risk - especially everyday risks we face like getting cancer or dying in a car crash. As a result he’s regularly in the media explaining numbers in the news, trying to assist both ordinary people and politicians focus on the important risks we face, and avoid being distracted by flashy risks that don’t actually have much impact. Summary, full transcript and extra links to learn more. To help make sense of the uncertainties we face in life he has had to invent concepts like the microlife, or a 30-minute change in life expectancy. (https://en.wikipedia.org/wiki/Microlife) We wanted to learn whether he thought a lifetime of work communicating science had actually had much impact on the world, and what advice he might have for people planning their careers today.

21 Juni 201733min

#1 - Miles Brundage on the world's desperate need for AI strategists and policy experts

#1 - Miles Brundage on the world's desperate need for AI strategists and policy experts

Robert Wiblin, Director of Research at 80,000 Hours speaks with Miles Brundage, research fellow at the University of Oxford's Future of Humanity Institute. Miles studies the social implications surrounding the development of new technologies and has a particular interest in artificial general intelligence, that is, an AI system that could do most or all of the tasks humans could do. This interview complements our profile of the importance of positively shaping artificial intelligence and our guide to careers in AI policy and strategy Full transcript, apply for personalised coaching to work on AI strategy, see what questions are asked when, and read extra resources to learn more.

5 Juni 201755min

#0 – Introducing the 80,000 Hours Podcast

#0 – Introducing the 80,000 Hours Podcast

80,000 Hours is a non-profit that provides research and other support to help people switch into careers that effectively tackle the world's most pressing problems. This podcast is just one of many things we offer, the others of which you can find at 80000hours.org. Since 2017 this show has been putting out interviews about the world's most pressing problems and how to solve them — which some people enjoy because they love to learn about important things, and others are using to figure out what they want to do with their careers or with their charitable giving. If you haven't yet spent a lot of time with 80,000 Hours or our general style of thinking, called effective altruism, it's probably really helpful to first go through the episodes that set the scene, explain our overall perspective on things, and generally offer all the background information you need to get the most out of the episodes we're making now. That's why we've made a new feed with ten carefully selected episodes from the show's archives, called 'Effective Altruism: An Introduction'. You can find it by searching for 'Effective Altruism' in your podcasting app or at 80000hours.org/intro. Or, if you’d rather listen on this feed, here are the ten episodes we recommend you listen to first: • #21 – Holden Karnofsky on the world's most intellectual foundation and how philanthropy can have maximum impact by taking big risks • #6 – Toby Ord on why the long-term future of humanity matters more than anything else and what we should do about it • #17 – Will MacAskill on why our descendants might view us as moral monsters • #39 – Spencer Greenberg on the scientific approach to updating your beliefs when you get new evidence • #44 – Paul Christiano on developing real solutions to the 'AI alignment problem' • #60 – What Professor Tetlock learned from 40 years studying how to predict the future • #46 – Hilary Greaves on moral cluelessness, population ethics and tackling global issues in academia • #71 – Benjamin Todd on the key ideas of 80,000 Hours • #50 – Dave Denkenberger on how we might feed all 8 billion people through a nuclear winter • 80,000 Hours Team chat #3 – Koehler and Todd on the core idea of effective altruism and how to argue for it

1 Maj 20173min

Populärt inom Utbildning

bygga-at-idioter
historiepodden-se
rss-bara-en-till-om-missbruk-medberoende-2
det-skaver
harrisons-dramatiska-historia
nu-blir-det-historia
johannes-hansen-podcast
nar-man-talar-om-trollen
roda-vita-rosen
not-fanny-anymore
i-vantan-pa-katastrofen
allt-du-velat-veta
sektledare
alska-oss
sa-in-i-sjalen
jagaren
rss-max-tant-med-max-villman
rss-sjalsligt-avkladd
herrsurf
rss-npf-podden