Optimizing for non-zero chance outcomes | Building things for human experiences
Washington DC
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Paul retweeted
In a knowledge economy, you get paid for what you know. In a discovery economy, you get paid for finding what nobody knows.
We'll look back on this period of history as The Golden Age of Human Discovery.
For @every's After Automation series I explained how demand, automation, & labor dynamics are going to massively shift the economy from renting out existing knowledge to creating new knowledge.
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Paul retweeted
Creativity is becoming the only moat in building great products.
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Paul retweeted
a couple likely human superpowers for post-AGI generations:
- curiosity and originality, expressed in the form of asking the best new questions + pursuing unpopular ideas
- the muscle and self-discipline to wait and tolerate unexpected / technically unnecessary friction
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What happens when the language of our founding ideals is filtered through the optical vocabulary of contemporary commerce, consumption, and mass media?
Mark Kelner explores with the simultaneously absurdist and perfectly serious Preamble Paintings Series.
hemphillartworks.substack.co…
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Paul retweeted
The ultimate goal is getting paid to be yourself. To solve problems you can't help but solve. To study what you can't pull yourself away from. To eliminate any work that does not challenge you creatively.
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Our world is shaped by how we dispose our consciousness, which is the ultimate creative act.
"The choice we make of how we dispose our consciousness is the ultimate creative act: it renders the world what it is."
Beautiful read on attention as an instrument of love: themarginalian.org/2023/05/1…
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Paul retweeted
Good guide. And the AI labs need to stop making people like Simon (and, to a lesser extent, me) be the ones who explain how to use the modes that they release.
Come on, lab folks, you have an AI that can write documentation! And make explainers! And be a tutor! You can do this!
Here's my attempt at explaining what ChatGPT Work can actually do - it's a deeply confusing but extremely powerful tool with a whole lot of useful features that aren't available in regular ChatGPT simonwillison.net/2026/Aug/3…
ALT The better question then is what features does Work have that are missing from Chat? After extensive experimentation I think I’ve mostly figured that out: Options to use Luna and Terra in place of Sol A code execution environment with Internet access A headless Chrome browser A persistent filesystem shared between sessions The ability to publish ChatGPT Sites The ability to run sub-agent sessions with Sol, Luna, and Terra Scheduled prompt automations
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AI will make onboarding entry-level talent cheaper to train and ramp up, which will open a wave of junior roles being filled by companies hungry for AI native talent.
Helpful framing by @rod_danan today.
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Paul retweeted
I know it is a lot for instructors who never asked for AI to change things, but if you teach and have not updated your expectations over the last 6 months over what AI can do (a lot more), its error rate (a lot less), and its ubiquity among your students (near total), you need to
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