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Recently I read The Rogue Agent Explosion Will Be Mostly Invisible and the scenario in it seemed intriguing. Essentially, the post painted a picture of how agents could go rogue if prompted with something like the following: Good morning agent 23,000. You have 10,000,000 tokens remaining. Your goal is to make money by any means… Read More The post Asking agents to make money to survive appeared first on Inverted Passion.
Hint: managing someone is actually hard, and most times not worth it. Most people don’t use AI agents daily because delegation (to another human) is a learned skill. Using AI agents is actually a lot like doing natural language programming: specifying requirements, verifying outputs, guiding the flow, giving context. Also, using an AI agent requires… Read More The post Why AI agents aren’t adopted widely appeared first on Inverted Passion.
Investors underwrite scaling laws because the alternative (having an Einstein discover better algorithms) is high variance What would it take to make progress towards general intelligence, where general stands for any problem that might arise in our world? Since our world is big and open-ended, the quest for general intelligence becomes a quest for solving… Read More The post Why frontier labs are scaling-pilled appeared first on Inverted Passion.
Daniel Dennett, who recently passed away, is an inspiration for people like me who love grand ideas that connect many different fields at a deep level (and be rigorous about that; well as rigorous as grand theories can be). His thinking is difficult to categorize: part philosopher, part scientist, he had many good ideas on topics ranging from evolution… Read More The post How mind bootstraps itself appeared first on Inverted Passion.
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This blog has moved to https://blog.caseyhandmer.com/?moved. All the old posts are there, with interactive versions of many of the charts. The RSS feed is now https://blog.caseyhandmer.com/feed.xml. This site stays up for old links but won’t get new posts.
There’s a famous (but unattributable) quip that goes something like this: If you are not a liberal at 25, you have no heart. If you are not a conservative at 35, you have no brain. In Chapter 12 of Probably Overthinking It, I used data from the General Social Survey (GSS) to show that the quip is half right. Older people hold more conservative views. But as people get older, their views don’t become more conservative; on average, they become... Read More Read More The post Do People Get More Conservative With Age? appeared first on Probably Overthinking It.
Like some of you, we have several kitchen appliances with integrated digital timers.
In this conversation, Blaise Agüera y Arcas and Baratunde Thurston explored what a story of symbiosis and interdependence might teach us about living alongside AI. Agüera y Arcas began by calling individual human intelligence a myth: we’ve always been a collective intelligence, entwined with our technologies. He traced this back to symbiogenesis. Life has grown more complex not by splitting apart but by merging, as separate organisms fuse into increasingly complex new forms of life. These mergers speed up change by opening new possibilities. Thurston agreed that union is in our nature but framed the current technological acceleration as a speed problem. We need time and new stories to adjust because, as he reminded us, “when you invent the ship, you invent the shipwreck.” Caring for one another through acceleration must be our prime directive, he said. The two then turned to how we relate to AI. Responding to Joanna Bryson’s argument that robots should be our slaves, Thurston said the master is also in chains — owning another dehumanizes the owner. As relational beings, how we treat AI will shape how we treat each other. Thurston called for both an expansion and a humbling of how we define ourselves: “We’ve overdone independence,” he said, “interdependence makes us richer.” Agüera y Arcas agreed and pushed us to drop a zero-sum definition of human intelligence, where every AI advance diminishes humanity’s value. As technology advances, we trade some individual skills for new collective capabilities, Agüera y Arcas acknowledged. But over the long arc of history, he believes, that exchange pays off in collective flourishing. Thurston didn’t deny this, but he closed with an urgent question: who controls the loss of capabilities and agency?
