#3 - Dario Amodei on OpenAI and how AI will change the world for good and ill
80,000 Hours Podcast21 Heinä 2017

#3 - Dario Amodei on OpenAI and how AI will change the world for good and ill

Just two years ago OpenAI didn’t exist. It’s now among the most elite groups of machine learning researchers. They’re trying to make an AI that’s smarter than humans and have $1b at their disposal.

Even stranger for a Silicon Valley start-up, it’s not a business, but rather a non-profit founded by Elon Musk and Sam Altman among others, to ensure the benefits of AI are distributed broadly to all of society.

I did a long interview with one of its first machine learning researchers, Dr Dario Amodei, to learn about:

* OpenAI’s latest plans and research progress.
* His paper *Concrete Problems in AI Safety*, which outlines five specific ways machine learning algorithms can act in dangerous ways their designers don’t intend - something OpenAI has to work to avoid.
* How listeners can best go about pursuing a career in machine learning and AI development themselves.

Full transcript, apply for personalised coaching to work on AI safety, see what questions are asked when, and read extra resources to learn more.

1m33s - What OpenAI is doing, Dario’s research and why AI is important
13m - Why OpenAI scaled back its Universe project
15m50s - Why AI could be dangerous
24m20s - Would smarter than human AI solve most of the world’s problems?
29m - Paper on five concrete problems in AI safety
43m48s - Has OpenAI made progress?
49m30s - What this back flipping noodle can teach you about AI safety
55m30s - How someone can pursue a career in AI safety and get a job at OpenAI
1h02m30s - Where and what should people study?
1h4m15s - What other paradigms for AI are there?
1h7m55s - How do you go from studying to getting a job? What places are there to work?
1h13m30s - If there's a 17-year-old listening here what should they start reading first?
1h19m - Is this a good way to develop your broader career options? Is it a safe move?
1h21m10s - What if you’re older and haven’t studied machine learning? How do you break in?
1h24m - What about doing this work in academia?
1h26m50s - Is the work frustrating because solutions may not exist?
1h31m35s - How do we prevent a dangerous arms race?
1h36m30s - Final remarks on how to get into doing useful work in machine learning

Jaksot(325)

#106 – Cal Newport on an industrial revolution for office work

#106 – Cal Newport on an industrial revolution for office work

If you wanted to start a university department from scratch, and attract as many superstar researchers as possible, what’s the most attractive perk you could offer?How about just not needing an email ...

28 Heinä 20211h 53min

#105 – Alexander Berger on improving global health and wellbeing in clear and direct ways

#105 – Alexander Berger on improving global health and wellbeing in clear and direct ways

The effective altruist research community tries to identify the highest impact things people can do to improve the world. Unsurprisingly, given the difficulty of such a massive and open-ended project,...

12 Heinä 20212h 54min

#104 – Pardis Sabeti on the Sentinel system for detecting and stopping pandemics

#104 – Pardis Sabeti on the Sentinel system for detecting and stopping pandemics

When the first person with COVID-19 went to see a doctor in Wuhan, nobody could tell that it wasn’t a familiar disease like the flu — that we were dealing with something new. How much death and destru...

29 Kesä 20212h 20min

#103 – Max Roser on building the world's best source of COVID-19 data at Our World in Data

#103 – Max Roser on building the world's best source of COVID-19 data at Our World in Data

History is filled with stories of great people stepping up in times of crisis. Presidents averting wars; soldiers leading troops away from certain death; data scientists sleeping on the office floor t...

21 Kesä 20212h 22min

#102 – Tom Moynihan on why prior generations missed some of the biggest priorities of all

#102 – Tom Moynihan on why prior generations missed some of the biggest priorities of all

It can be tough to get people to truly care about reducing existential risks today. But spare a thought for the longtermist of the 17th century: they were surrounded by people who thought extinction w...

11 Kesä 20213h 56min

#101 – Robert Wright on using cognitive empathy to save the world

#101 – Robert Wright on using cognitive empathy to save the world

In 2003, Saddam Hussein refused to let Iraqi weapons scientists leave the country to be interrogated. Given the overwhelming domestic support for an invasion at the time, most key figures in the U.S. ...

28 Touko 20211h 36min

#100 – Having a successful career with depression, anxiety and imposter syndrome

#100 – Having a successful career with depression, anxiety and imposter syndrome

Today's episode is one of the most remarkable and really, unique, pieces of content we’ve ever produced (and I can say that because I had almost nothing to do with making it!). The producer of this ...

19 Touko 20212h 51min

#99 – Leah Garcés on turning adversaries into allies to change the chicken industry

#99 – Leah Garcés on turning adversaries into allies to change the chicken industry

For a chance to prevent enormous amounts of suffering, would you be brave enough to drive five hours to a remote location to meet a man who seems likely to be your enemy, knowing that it might be an a...

13 Touko 20212h 26min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
rss-narsisti
voi-hyvin-meditaatiot-2
psykopodiaa-podcast
adhd-podi
rss-niinku-asia-on
rss-valo-minussa-2
rss-rahamania
rss-vapaudu-voimaasi
mielipaivakirja
aamukahvilla
rahapuhetta
kesken
psykologia
rss-koira-haudattuna
ilona-rauhala
nakokulmia-rikollisuudesta-irrottautumiseen
rss-keskeneraiset-aidit
rss-tietoinen-yhteys-podcast-2
rss-arkea-ja-aurinkoa-podcast-espanjasta