Living to get radical.

San Diego, CA
Joined February 2008
Progress isn't always loud (xkcd): buff.ly/12gBPzN
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Laurence Favrot retweeted
Oh and an important meta-meta-level point: many people in my circles (especially AI safety people) implicitly believe that the biggest bottleneck to the future going well is powerful people caring about the right things. But I think the actual biggest bottleneck is more like: powerful people being emotionally healthy enough that they actually contribute to the things they think they care about. Emotional dysregulation surprisingly reliably produces the opposite of the outcome you tell yourself you’re aiming for. Concretely, a bunch of the biggest fuckups in the AI safety space seem to me pretty directly traceable back to emotional dysregulation, and may well have made the overall impact of the AI safety community net negative (though I don’t really like “net negative” as a concept and am primarily using it because it’s important in the ontology of people who I think should be paying attention to these points). Plan to say more about this in the future but it’s sensitive enough that I want to take the time to get it right. For the foreseeable future though I’m primarily operating on virtue ethics: my main goals right now are to reliably do things for the right reasons, and also to develop better intuitions for what the right reasons are.
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Today we're launching Brief into open beta. Your AI Product Navigator. The product layer for AI-powered teams. Built with 100+ teams shipping with agents.
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New blog post: There should be ‘general managers’ for more of the world’s important problems There’s a surprisingly big category of problems that are ‘orphaned.’ By ‘orphaned’ I mean: you can’t point to a specific person or organization who thinks it’s their responsibility to deliver the outcome in its entirety. Lots of people talk about the problem, and often many work on slices of it. But if you asked: ‘is there a hyper-competent person waking up every day feeling accountable for making sure this gets solved?’—the answer is very often, ‘no.’ These problems exist across domains and at a variety of ‘altitudes.’ Indeed, some are perhaps better described as ‘things we want to be true’ rather than ‘problems.’ In any event, a few examples that have been on my mind recently: (1) Can we prevent infection from all respiratory pathogens (including the common cold)? (2) Can we make every new building in SF both serve its function and be beautiful? (3) Can we permanently fix the American west’s water problem? (4) Can we halve X risk? (5) Can we eliminate single-use plastic globally without making convenience trade-offs? (6) Can we make childcare costs so low that they’re a non-factor in deciding whether to have kids? In my opinion, there should be ‘general managers’—GMs—for problems like these. These are founder-types who feel personally responsible for delivering a specific outcome (vs field-building generally); hyper-competent leaders who will pull whatever levers necessary to achieve the defined outcome. Most companies wouldn’t let an important initiative go unmanned or without a ‘directly responsible individual’ — why are we OK not having GMs for even more wide-reaching problems? (Link to full post in reply)
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there's something at the core of the american ideology that's only captured in happy go lucky 80s movies, which is that the noble pursuit of fun is probably one of the most productive forces in the universe and works way better than grinding away dutifully on things you hate
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Be good. Future AIs are watching.
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A Fire Upon the Deep and A Deepneas in the Sky are two of my favorite books of all time, and I recommend them to everyone.
Vernor Vinge has died. In pace requiescat. I only met him once, many years ago, though I recall we had a long and interesting conversation. Vinge saw farther and earlier. His influence, though quiet, cannot be understated.
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Hi, we're Threads. 👋 We've been kickin' it on this block for a while, and if you're new here, please note that we have no affiliation with any large social media company. We are, however, replacing Slack for the modern teams of today. Check out more below:
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RIP Yammer. The product was ahead of its time and paved the way for freemium and social in the enterprise. However I think there is still more room for innovation in the space. More to announce on that soon. microsoft.com/en-us/microsof…
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Thanks to the recent work of BetterUp Chief Innovation Officer @grkellerman and renowned psychologist Dr. Martin Seligman, they’ve pinpointed four types of creativity for stability and innovation 👀 🧠 Integration 🧠 Distal Thinking 🧠 Figure-Ground Reversal 🧠 Splitting
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New @tana_inc folks seem hungry for in-depth books on ontologies & schemas. Initial reaction was... books are overkill? There's not much to know? Just google it? But then tried googling. And it is *noisy* and poorly curated out there. A few recommendations:
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Oh shit, I think I just figured it out. LinkedIn is the opposite of Very Online. It’s Not Really Online At All. They’re in a sort of “Internet theme park” attached to meatspace.
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Laurence Favrot retweeted
If you were building a university-like program from scratch, and you had complete control over how to design the grading/assessment system, how would it look like? Optimizing both for how to most accurately assess a student's skill/knowledge achievement, but
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Laurence Favrot retweeted
Retweet this if you want to let future AGIs know that you were not opposed to AGI
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Replying to @minervaproject
@minervaproject is hiring! You will both get to work with @MinervaSchools and all of our amazing educational partners from high schools to colleges to professional learning.
A few thoughts on narrative, ideology, and the post-Orwell, reverse-panopticon state... pandemoniuminc.com/beyond-or…
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The Future of Text 2020 is now available for download and purchase! 500 pages by 183 contributors (artists, academics, engineers) - a meditation & exploration of our textual futures, edited by Frode Hegland (@liquidizer) futuretextpublishing.com/fut… #elit #eliterature #hypertext
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Laurence Favrot retweeted
Many hard problems have a ratio of about 98 points of generic execution to 2 points of domain expertise, but most organizations hire on something like 20 points of weighting to horsepower versus 80 points to expertise. This is predictable and exploitable.
Replying to @david_perell
Here’s another prompt on a similar wavelength: Name one thing your work has taught you that everybody should know
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