Ryan Kupyn
Article
Ryan Kupyn is a recurring person in the Astral Codex Ten archive, appearing 2 times across 2 issues between January 24, 2023 and April 20, 2023. The archive places it in contexts such as “1st: Ryan Kupyn. Ryan is a forecasting researcher at Amazon”; “interview with Ryan Kupyn, winner of the 2022 ACX Forecasting contest”. It most often appears alongside Harvard, Matt Yglesias, 15 minute cities.
Metadata
- Category: People
- Mention count: 2
- Issue count: 2
- First seen: January 24, 2023
- Last seen: April 20, 2023
Appears In
Related Pages
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- Harvard (2 shared issues)
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- Matt Yglesias (2 shared issues)
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- 15 minute cities (1 shared issues)
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- 200 Concrete Problems In AI Interpretability (1 shared issues)
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- 2022 ACX Forecasting contest (1 shared issues)
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- AB 835 (1 shared issues)
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- ACX (1 shared issues)
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- ACX Prediction Contest (1 shared issues)
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- Africa (1 shared issues)
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- AI Impacts (1 shared issues)
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- Alex Lee (1 shared issues)
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- Alexey Guzey (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
1st: Ryan Kupyn. Ryan is a forecasting researcher at Amazon. His main hobby outside of work is designing walking tours for different Los Angeles neighborhoods. He asks me to include his “meet-me email address” coffee@ryankupyn.com, saying “I love to meet new people and talk about careers, ML, their best breakfast recipes and anything else."4
Inline links: coffee@ryankupyn.com, 4
16: The Extended IQ Classification (Classified) 17: Eliezer in TIME Magazine. Related: 18: Related: interview with Ryan Kupyn, winner of the 2022 ACX Forecasting contest, on forecasting AGI: 19: Related: Geoffrey Hinton, probably the most accomplished AI scientist in the world, says that “until quite recently, I thought it was going to be like 20 to 50 years before we have general purpose AI, and now I think it may be 20 years or less”. Also that AI wiping out humanity is “not inconceivable . . . that’s all I’ll say”. 20: Related: you’ve probably all seen this by now, but Pause Giant AI Experiments: An Open Letter. 30,000 people - including deep learning pioneer Yoshua Bengio, former presidential candidate Andrew Yang, Elon Musk, Steve Wozniak, Gary Marcus, and MIRI director Nate Soares - have signed a letter calling for a six month pause on training AIs bigger than GPT-4. Many people have made fun of this, noting that nobody has an argument for why a six month delay would help anything. And an additional reason for eye-rolling: training AIs larger than GPT-4 is extremely expensive and hard, the most likely people to do it within a six month timespan are OpenAI themselves, and they’ve announced they’re taking a break and not planning on doing this, so the letter is demanding a stop to something which probably won’t happen anyway. I think it’s intended be a compromise between many people all vaguely against current levels of AI progress for different reasons (Scott Aaronson says - I can’t tell how seriously - that some are AI researchers who want to be able to publish papers on the current generation of AI without them becoming obsolete halfway through peer review), most of them are thinking of it as mood-affiliation-y “let’s make noise and show lots of people are worried about AI and want action”, and “a six month pause” was a sufficiently vague proposal that it didn’t prevent any of these people from signing. You could have done just as well with a letter saying “AI BAD”, except that people would have taken it less seriously. Less cynically, FLI (the group behind the letter) has put out a list of concrete policy proposals they would like people to discuss during the pause. [update: here’s Max Tegmark from FLI explaining what he hopes to achieve with the letter/pause] The alignment community always figured their concerns sounded too weird for normal people to care about, that politics was a lost cause, and that our best hope lay in technical research. They also hoped that sometime in the future there would be a “fire alarm” - something would happen to get people and policy-makers’ attention - and then the political route would open up. I think we always imagined this as some AI-initiated disaster destroying a city or something. I personally am pretty surprised it was just “GPT-4 got released and was very good”. Still, that is what happened, and I’m updating. In fact, I’ve updated so far that I’m starting to worry that the problem won’t be building a political coalition against unsafe AI, the problem will be not overshooting and banning all AI forever. I’m against this: I think society’s current track is toward other existential risks or dystopia, that AI could kill everybody but could also create post-scarcity and an end to most of our current problems, and that at some point (not yet!) the risk of continuing the current path indefinitely becomes worse than the risk of just going with AI and seeing what happens. In my ideal world, we would take ten or twenty years to go really slowly with AI, pouring lots of resources into alignment the whole time - but eventually, we would take the plunge. Everything I’ve said on this topic in the has been about giving us that breathing room and those resources. Still, I also want to make sure we don’t totally kill AI the way we’ve killed (to various degrees) nuclear power, supersonic flight, and genetic engineering. I’m still trying to calibrate what that means I should be doing, but I have a lot of respect for everyone on all sides. Except the people making terrible arguments (you know who you are!) 21: I’m not sure what this means in real life or why this would have changed, but congratulations to Peter Thiel, I guess: 22: This month in institution design: The Pear Ring is a distinctive ring you can wear to signal that you’re single and interested in people introducing themselves or flirting with you. Good idea in a vacuum, but I’m worried about the two usual banes of things like this - how do you build up a critical mass who understand the signal, and how do you prevent negative selection (even if it’s just “selection for weird people who like weird institution design things”?) Also, this is one of the rare cases where a startup is selling a practical product and I’d prefer a subscription-based Internet Of Things monstrosity - surely it would be even better if you spotted someone wearing the ring and then you could use your smartphone to call up their dating profile. 23: A few years ago I wrote Trump: A Setback For Trumpism, about how after Trump was elected, support for most of his policies (including immigration restrictions) fell. A new paper confirms that this is a general pattern whenever right-wing populists win an election. I continue to be interested in why this is true for right-wing populists in particular. 24: 200 Concrete Problems In AI Interpretability. “You can note which you're working on, and reach out to other people doing the same.” 25: Some good discussion of Nayib Bukele’s apparently successful anti-gang crackdown in El Salvador: Richard Hanania presents evidence that it’s not just a “deal with the gangs”, it’s a real crackdown that should be embarrassing to other countries that choose not to do this.
Inline links: The Extended IQ Classification (Classified), Eliezer in TIME Magazine, says that, Pause Giant AI Experiments: An Open Letter, says, a list of concrete policy proposals they would like people to discuss during the pause, here’s Max Tegmark, https://twitter.com/tedgioia/status/1642205821256736768, Pear Ring, Trump: A Setback For Trumpism, A new paper confirms, why this is true for right-wing populists in particular, 200 Concrete Problems In AI Interpretability, Richard Hanania