catalog
Library
Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 1016 cards, 26 shelfves.
Shelves
26 collections- Collection 9 cards
Modern reading apps
Cool apps to help you read better
- Collection 793 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 9 cards
Security?
- Collection 1 card
Tech and Law
- Collection 118 cards
the AI of it all
- Collection 5 cards
understanding events
- Collection 1 card
vc stuff
- Collection 12 cards
development
- Collection 19 cards
atproto stuff
Recently filed
page 22 / 43-
The bottleneck shifts to distribution
Here comes everybody
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AI #163: Mythos Quest
There exists an AI model, Claude Mythos, that has discovered critical safety vulnerabilities in every major operating system and browser.
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"New Sages Unrivalled"
On Mythos
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The Generative Stack - The Phoenix Architecture
Trying to find the best tool or platform for generative software in 2026 is a mistake that could haunt you for decades
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Who’s the Admin, Me or Claude?
There’s a lot of conversation right now about “context engineering” for dev work; structuring what you feed an LLM so it can do useful things. It’s fantastic, we use this approach for DRI Your Career – to the point where we moved our course development out of Google Docs and into GitHub. But – Jean […]
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The New York Times Got Played By A Telehealth Scam And Called It The Future Of AI
Since the New York Times published its semi-viral big profile of Medvi last week — the “AI-powered” telehealth startup that it breathlessly described as a “$1.8 billion company” supposedly run by just two brothers — I’ve had multiple friends and family members send me the article with some version of the same message: “Can you […]
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OpenAI #16: A History and a Proposal
The real news today is that Anthropic has partnered with the top companies in cybersecurity to try and patch everyone’s systems to fix all the thousands of zero-day exploits found by their new model Claude Mythos.
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★ OpenAI Announces $122 Billion Additional ‘Committed Capital’, and Announces Their ‘Superapp’ Plan for the Future
I don’t see the path from here to there, where *there* is a justification for a trillion-dollar-ish valuation.
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Building Political Superintelligence
Amidst fears of dystopia, a blueprint for how we use AI to reinvent the way we govern ourselves
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everything is a nail, or at least it ought to be
“the irrational decision” by Ben Recht
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The Bookmaker
In the lead-up to the 2008 election, Nate Silver revolutionized the way we talk about politics, bringing cold, hard, numerical facts to a world that had been dominated by the gut feelings of reporters and opinion columnists.
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Import AI 452: Scaling laws for cyberwar; rising tides of AI automation; and a puzzle over gDP forecasting
How much could AI revolutionize the economy?
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AI has limits, even if many AI people can't see them
On Ben Recht's fantastic new book
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Sam Altman May Control Our Future—Can He Be Trusted?
New interviews and closely guarded documents shed light on the persistent doubts about the head of OpenAI, Ronan Farrow and Andrew Marantz write.
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Some Contemporary Heresies
I define a heresy as: something you believe that the people you most admire and respect don’t believe and reject out of hand.
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Bernie Sanders has a plan to stop the AI industry
But it will be hard to assemble a broad coalition of AI skeptics.
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Dropping to log-level
Logs are invaluable when things spin out of control.
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More on whether useful quantum computing is “imminent”
These days, the most common question I get goes something like this: A decade ago, you told people that scalable quantum computing wasn't imminent. Now, though, you claim it plausibly is imminent. Why have you reversed yourself?? I appreciated the friend of mine who paraphrased this as follows: "A decade ago you said you were…
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A Cryptography Engineer’s Perspective on Quantum Computing Timelines
The risk that cryptographically-relevant quantum computers materialize within the next few years is now high enough to be dispositive, unfortunately.
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On Cooling America Out
We've been the marks of our own long cons, all the way up
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How to harness AI
"Coding agents" are complicated but intelligible
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Eight years of wanting, three months of building with AI
For eight years, I’ve wanted a high-quality set of devtools for working with SQLite. Given how important SQLite is to the industry1, I’ve long been puzzled that no one has invested in building a really good developer experience for it2. A couple of weeks ago, after ~250 hours of effort over three months3 on evenings, weekends, and vacation days, I finally released syntaqlite (GitHub), fulfilling this long-held wish. And I believe the main reason this happened was because of AI coding agents4. Of course, there’s no shortage of posts claiming that AI one-shot their project or pushing back and declaring that AI is all slop. I’m going to take a very different approach and, instead, systematically break down my experience building syntaqlite with AI, both where it helped and where it was detrimental. I’ll do this while contextualizing the project and my background so you can independently assess how generalizable this experience was. And whenever I make a claim, I’ll try to back it up with evidence from my project journal, coding transcripts, or commit history5.