#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(324)

#19 - Samantha Pitts-Kiefer on working next to the White House trying to prevent nuclear war

#19 - Samantha Pitts-Kiefer on working next to the White House trying to prevent nuclear war

Rogue elements within a state’s security forces enrich dozens of kilograms of uranium. It’s then assembled into a crude nuclear bomb. The bomb is transported on a civilian aircraft to Washington D.C, ...

14 Helmi 20181h 4min

#18 - Ofir Reich on using data science to end poverty & the spurious action-inaction distinction

#18 - Ofir Reich on using data science to end poverty & the spurious action-inaction distinction

Ofir Reich started out doing math in the military, before spending 8 years in tech startups - but then made a sharp turn to become a data scientist focussed on helping the global poor. At UC Berkeley...

31 Tammi 20181h 18min

#17 - Will MacAskill on moral uncertainty, utilitarianism & how to avoid being a moral monster

#17 - Will MacAskill on moral uncertainty, utilitarianism & how to avoid being a moral monster

Immanuel Kant is a profoundly influential figure in modern philosophy, and was one of the earliest proponents for universal democracy and international cooperation. He also thought that women have no ...

19 Tammi 20181h 52min

#16 - Michelle Hutchinson on global priorities research & shaping the ideas of intellectuals

#16 - Michelle Hutchinson on global priorities research & shaping the ideas of intellectuals

In the 40s and 50s neoliberalism was a fringe movement within economics. But by the 80s it had become a dominant school of thought in public policy, and achieved major policy changes across the Englis...

22 Joulu 201755min

#15 - Phil Tetlock on how chimps beat Berkeley undergrads and when it’s wise to defer to the wise

#15 - Phil Tetlock on how chimps beat Berkeley undergrads and when it’s wise to defer to the wise

Prof Philip Tetlock is a social science legend. Over forty years he has researched whose predictions we can trust, whose we can’t and why - and developed methods that allow all of us to be better at p...

20 Marras 20171h 24min

#14 - Sharon Nunez & Jose Valle on going undercover to expose animal abuse

#14 - Sharon Nunez & Jose Valle on going undercover to expose animal abuse

What if you knew that ducks were being killed with pitchforks? Rabbits dumped alive into containers? Or pigs being strangled with forklifts? Would you be willing to go undercover to expose the crime? ...

13 Marras 20171h 25min

#13 - Claire Walsh on testing which policies work & how to get governments to listen to the results

#13 - Claire Walsh on testing which policies work & how to get governments to listen to the results

In both rich and poor countries, government policy is often based on no evidence at all and many programs don’t work. This has particularly harsh effects on the global poor - in some countries governm...

31 Loka 201752min

#12 - Beth Cameron works to stop you dying in a pandemic. Here’s what keeps her up at night.

#12 - Beth Cameron works to stop you dying in a pandemic. Here’s what keeps her up at night.

“When you're in the middle of a crisis and you have to ask for money, you're already too late.” That’s Dr Beth Cameron, who leads Global Biological Policy and Programs at the Nuclear Threat Initiative...

25 Loka 20171h 45min

Suosittua kategoriassa Koulutus

rss-murhan-anatomia
voi-hyvin-meditaatiot-2
rss-narsisti
psykopodiaa-podcast
adhd-podi
rss-vapaudu-voimaasi
rss-niinku-asia-on
psykologia
rss-duodecim-lehti
rss-valo-minussa-2
aamukahvilla
rss-uskonto-on-tylsaa
kesken
koulu-podcast-2
rss-liian-kuuma-peruna
rahapuhetta
jari-sarasvuo-podcast
filocast-filosofian-perusteet
rss-turun-yliopisto
rss-opi-espanjaa