catalog
Library
Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 1429 cards, 32 shelfves.
Shelves
32 collections- Collection 3 cards
Articles I keep thinking about
Pieces that I return to over the years. Don't necessarily agree with them but I keep thinking about them.
- Collection 6 cards
Tools for Thought
Reading that adds up. The lineage of ideas behind notes, memory, and understanding.
- Collection 5 cards
The Craft
Classic essays on doing good work in software, worth rereading every few years.
- Collection 5 cards
The Open Web
Why the social web is being rebuilt on protocols, and what that buys you.
- Collection 7 cards
How We Read Now
Essays on attention, screens, and what reading is for.
- Collection 20 cards
p(doom)
- Collection 9 cards
Modern reading apps
Cool apps to help you read better
- Collection 1148 cards
Skyreader Saves
- Collection 2 cards
toread
- Collection 1 card
To process
- Collection 2 cards
Building with agents
- Collection 3 cards
Protocol thinking
- Collection 4 cards
Cybernetics
- Collection 1 card
Cryptocurrency
It's bad
- Collection 2 cards
Thinking about thinking
- Collection 2 cards
ATproto development
Tools and resources for building on atproto
- Collection 20 cards
Cool Atmosphere apps
- Collection 9 cards
Internet sensemaking
- Collection 5 cards
The structure of social media
- Collection 9 cards
Books I've been reading
- Collection 3 cards
Tools for thought
- Collection 1 card
Cool tools
- Collection 2 cards
Awesome terminal
- Collection 8 cards
Local first
- Collection 5 cards
Tech right analysis
- Collection 10 cards
Security?
- Collection 1 card
Tech and Law
- Collection 153 cards
the AI of it all
- Collection 5 cards
understanding events
- Collection 1 card
vc stuff
- Collection 12 cards
development
- Collection 20 cards
atproto stuff
Recently filed
page 11 / 60-
AI and Folk Cartesianism - Part 1: Defining the Problem
Why I'm scared of linear algebra
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An Alien Mind: Jakub Pachocki Warns Us
OpenAI Chief Scientist Jakub Pachocki is dropping truth bombs.
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Media Media
The authoritarians are winning, we can all see that. It wouldn't be the worst thing if the pro-democracy camp stopped being naive about social media.
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Arguments in Favor of AI Fair Use
I made some notes on the nature of the training of LLMs, and about whether we as a society should consider the material used to train them as a fair use of that material.
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An Alien Mind: Jakub Pachocki Warns Us
OpenAI Chief Scientist Jakub Pachocki is dropping truth bombs.
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Pacing consensus
<p>Good development, huge challenge. <a href="https://www.robinsloan.com/lab/pacing-consensus/">Read here.</a></p>
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Research acceleration: The view inside OpenAI
Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration.
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Making software hurts now
and hurt people hurt people
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Import AI 472: DeepMind's cheating math agents; populist AI policies; and Forethought theorizes a nightwatchman
Plus, a machine hermeneutics story
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Built to benefit everyone: our plan
A vision for the future of AI, focusing on access, safety, and shared prosperity as OpenAI works to ensure AGI benefits everyone.
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OpenAI and the Wiki Incident
I did not expect to be back here so soon with more OpenAI agent swarm coverage.
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An Alien Mind
Jakub Pachocki reflects on increasingly capable AI and the challenge of keeping it aligned. He calls for stronger safeguards and international coordination.
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Contraption Theory
A meditation on things that from a distance look like helicopters
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About - Contraptions
Janky, wobbly models of everything from philosophy to technology and everything in-between. Click to read Contraptions, by Venkatesh Rao, a Substack publication with tens of thousands of subscribers.
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Claude Mythos 5.1 and Fable 5.1: Capabilities
This is the weirdest situation in which to write a capabilities review.
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The Curiously Playable Universe
More of the universe appears to be more playable than we expected
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#783: The end of spoken conversation
Plus: Pandora Radio, birthday mania and the “perimenopause industrial complex”
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How Much Redistribution Will AI Require?
<p>How much redistribution will AI require? A common scenario is that AI raises output enormously, but labor’s share of income collapses. GDP per capita goes up but workers get poorer, and making workers whole requires massive redistribution. In my latest paper, I run the numbers and conclude that this is probably incorrect. The idea is […]</p> <p>The post <a href="https://marginalrevolution.com/marginalrevolution/2026/09/how-much-redistribution-will-ai-require.html">How Much Redistribution Will AI Require?</a> appeared first on <a href="https://marginalrevolution.com">Marginal REVOLUTION</a>.</p>
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The revolt of the reader
Reading is important to me. While I’m not a quick reader nor an especially voracious one, I have found that long-form reading has had a profound influence on me over my life. And because reading is important to me, writing is too: writing not only allows us to convey our ideas, but the very act forces us to test and distill them — at once making our ideas more robust while providing the vehicle by which to share them.
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Large-Language Models as a Cognitive Virus
Large-language models (LLMs) are rapidly becoming part of human culture, reshaping how information is produced, transmitted, and used. Here we propose that their diffusion can be understood through a viral analogy, with LLM use spreading through populations, becoming embedded in cognitive and cultural practices. We model transitions among uncoupled, coupled, and persistently dependent users, and show that the interplay between social transmission, recovery, and collective reinforcement can generate tipping points and technological lock-in. A central consequence is the possibility of runaway dynamics: once a critical threshold is crossed, small increases in adoption can trigger rapid population-level shifts toward persistent dependence, with abrupt losses in cognitive competence. The same framework, however, identifies conditions for cognitive immunization, based on reducing transmission and facilitating reversibility. Our results highlight how LLM adoption may involve nonlinear collective transitions with important consequences for cognitive autonomy.
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Post by @jankulveit on X
To take the most egregious example, in the tweet you say "No. Agents lines of code. They do not feel emotions, assume things, think things,
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Pause OpenAI, now
Quite simply, they can no longer be trusted.
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Claude Fable 5.1 and Mythos 5.1: The System Card
At the time of its release Claude Fable 5.1 was, by a healthy margin, the most capable publicly available AI model in the world.