Professor @Wharton studying AI. New book, Co-Existence, coming October 20. Preorder here: co-existence.ai/ Substack: oneusefulthing.org/
Philadelphia, PA
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My new book, Co-Existence, is out today. It is a guide to how to live & work in a world where AI is sometimes, but not always, better than you.
(And, for the release, I worked with Opus 5.5 to make a quite interesting experience for the book's website: co-existence.ai/)
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Ethan Mollick retweeted
Ethan's first book was about AI as chatbots, this one is all about agents. I was lucky enough to get an early copy. If you're interested in agentic AI, get this book. Ethan talks to all the labs, is a critical early tester of the models, and was super early on agentic AI. Hes also an incredible writer, this book was a pleasure to read and learn from.
My new book, Co-Existence, is out today. It is a guide to how to live & work in a world where AI is sometimes, but not always, better than you.
(And, for the release, I worked with Opus 5.5 to make a quite interesting experience for the book's website: co-existence.ai/)
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I wrote about the exponential curve of the last 30 months of AI development: oneusefulthing.org/p/30-mont…
And I asked Opus 5.5 to create the ultimate response to the test I use for all AI image generation models (make a picture of "an otter on a plane using wifi"), it made this video
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This was a great conversation!
New pod: 'YOU'RE NOT AGI-PILLED ENOUGH'
I asked @emollick to tell me what I'm getting wrong about AI. We also talked about:
- why so many experts keep underrating the rate of progress for model capabilities
- why so many experts keep *overrating* how rapidly powerful AI will change the macroeconomy
- why the answer to the previous question starts with "O-rings and garbage cans"
- the sociology of AI swarms
- the paradoxes of AI use (or: 'every technological augmentation is also an amputation,' per McLuhan)
- the end of prompting (or: what happens if personal AI agents get so good at anticipating our needs that humans, once the prompter, become the prompted)
- 2027 predictions and ... his excellent new book CO-EXISTENCE
piped.video/watch?v=zthE5Oa8…
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Its not a new idea, but the lack of giant eccentric monumental architecture in Silicon Valley is a shame. You have lots of weird people with too much money, and yet only one place at the level of a solid midwestern oddball tourist attraction, and that was started in the 1880s.
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Given the acceleration Anthropic is reporting in coding, it is amazing that you still cannot change your email address in Claude and the official advice is that if you need to change your email the only way to do that is delete your account.
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New Claude Projects* is a nice interface for multi-agent work. It does a good job with having a user-facing coordinator model and independent agents running threads that pass messages around. Takes some fiddling but quite powerful.
* Same name but no relation to old Projects🤪
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Multiplayer AI needs to move past the group chat phase. Chats are chaotic, everyone sees everything (creating social & management issues), and they're bad for long projects. Worse, they keep AI trapped inside existing teams, when its real promise is working & helping across them.
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My book comes out tomorrow, so this is the last day to qualify for the pre-order bonus: a fun 10 minute AI voice interview that gives you personalized prompts, ideas, & readings based on ideas from the book
You can order & claim the pre-order bonus here: co-existence.ai/
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Writing good STATA code was very important for my academic career. It looks like that skill is largely becoming obsolete. (Also take this is as a notice to academics who still think of AI in terms of chatbots, not agents, that a lot has changed in a year) cepr.org/voxeu/columns/letti…
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I hate this slide every time it comes up, and now from CSAIL
This has been false since before the slide was made. Automated systems make management decisions all the time (trading, logistics, customer service, insurance) & pretending they don't actually launders responsibility.
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It is especially rich coming from MIT and IBM, as both were the key to SAGE 20 years before this, an automated system that automatically assigned interceptors and missiles against incoming aircraft. Literally letting a computer make management decisions. en.wikipedia.org/wiki/Semi-A…
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Developers are going to be a small part of total token usage over time, as the internal stats on usage at OpenAI and Anthropic both show. And for long-running high value tasks in areas where verification is harder, the benefits for higher "intelligence" models are quite large.
OpenAI, Anthropic and other leading AI labs face a growing challenge: Better models aren't necessarily attracting more usage. A 10-point intelligence advantage now earns just 20% more developer traffic, down from nearly 69% in late 2025.
Full story: thein.fo/4hGJ9jY
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This doesn’t seem to be a very robust strategy in the era of AIs that can use your computer on your behalf.
notice..
> Delta is blocking AI agents from booking flights
> JPMorgan Chase and Charles Schwab block agents from accessing accounts
> Yelp requires paid data licensing for agents
> Amazon has blocked Grok bot and other shopping agents.
the internet is starting to block AI agents that were supposed to do everything for us
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