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.
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
Source by The 80,000 Hours Podcast with Rob Wiblin
