advanced ai systems

The war of words between the AI safety advocates on the one side and the AI open source advocates on the other has gotten increasingly contentious. This week, Meta's Chief AI Scientist Yan LeCun accused the leaders of Google DeepMind, OpenAI and Anthropic of stoking fears around AI in order to provoke a response from regulators that would be beneficial to their businesses and bad for open source competitors. Today's Sponsors: Listen to the chart-topping podcast 'web3 with a16z crypto' wherever you get your podcasts or here: https://link.chtbl.com/xz5kFVEK?sid=AIBreakdown  Interested in the opportunity mentioned in today's show? jobs@breakdown.network ABOUT THE AI BREAKDOWN The AI Breakdown helps you understand the most important news and discussions in AI.  Subscribe to The AI Breakdown newsletter: https://theaibreakdown.beehiiv.com/subscribe Subscribe to The AI Breakdown on YouTube: https://www.youtube.com/@TheAIBreakdown Join the community: bit.ly/aibreakdown Learn more: http://breakdown.network/

Paul Christiano runs the Alignment Research Center, a non-profit research organization whose mission is to align future machine learning systems with human interests. Paul previously ran the language model alignment team at OpenAI, the creators of ChatGPT. 

Today, we’re hoping to explore the solution-landscape to the AI Alignment problem, and hoping Paul can guide us on that journey. 

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In today’s episode, Paul answers many questions, but the overarching ones are: 
1) How BIG is the AI Alignment problem? 
2) How HARD is the AI Alighment problem?
3) How SOLVABLE is the AI Alignment problem? 

Does humanity have a chance? Tune in to hear Paul’s thoughts. 

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Topics Covered

0:00 Intro
9:20 Percentage Likelihood of Death by AI
11:24 Timing 
19:15 Chimps to Human Jump
21:55 Thoughts on ChatGPT
27:51 LLMs & AGI
32:49 Time to React?
38:29 AI Takeover 
41:51 AI Agency 
49:35 Loopholes 
51:14 Training AIs to Be Honest 
58:00 Psychology 
59:36 How Solvable Is the AI Alignment Problem?
1:03:48 The Technical Solutions (Scalable Oversight) 
1:16:14 Training AIs to be Bad?! 
1:18:22 More Solutions
1:21:36 Stabby AIs 
1:26:03 Public vs. Private (Lab) AIs
1:28:31 Inside Neural Nets
1:32:11 4th Solution 
1:35:00 Manpower & Funding 
1:38:15 Pause AI?
1:43:29 Resources & Education on AI Safety 
1:46:13 Talent  
1:49:00 Paul’s Day Job
1:50:15 Nobel Prize 
1:52:35 Treating AIs with Respect 
1:53:41 Uptopia Scenario 
1:55:50 Closing & Disclaimers 

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Resources:

Alignment Research Center
https://www.alignment.org/ 

Paul Christiano’s Website
https://paulfchristiano.com/ai/ 

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Not financial or tax advice. This channel is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions. This video is not tax advice. Talk to your accountant. Do your own research.

Disclosure. From time-to-time I may add links in this newsletter to products I use. I may receive commission if you make a purchase through one of these links. Additionally, the Bankless writers hold crypto assets. See our investment disclosures here:
https://www.bankless.com/disclosures 

An AI-generated image of Cool Pope in immaculate drip went viral over the weekend and most everyone thought it was real. The Verge’s James Vincent explains how we should navigate our new internet reality. This episode was produced by Amanda Lewellyn, edited by Matt Collette, fact-checked by Avishay Artsy and Siona Peterous, engineered by Paul Robert Mounsey, and hosted by Sean Rameswaram.  Transcript at vox.com/todayexplained   Support Today, Explained by making a financial contribution to Vox! bit.ly/givepodcasts Learn more about your ad choices. Visit podcastchoices.com/adchoices