catalog
Library
Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 768 cards, 25 shelfves.
Shelves
25 collections- Collection 563 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 19 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 105 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 6 / 32-
AI #169: New Knowledge
Even in a relatively quiet period, AI is out there creating new knowledge.
-
Do AI Risks Require Extraordinary Government Intervention?
Let’s not skip the hard work of AI governance
-
A history of the data center panic - part 1
Pre-ChatGPT and the creation of common wisdom
-
AI, "Humanity", and Dr. Manhattan Syndrome
Public trust in AI is already deteriorating. Execs' rhetorical focus on capital-H Humanity over real people isn't helping. I call it Dr. Manhattan Syndrome—and the nuclear industry already showed us how it ends.
-
Import AI 457: AI stuxnet; cursed Muon optimizer; and positive alignment
Welcome to Import AI, a newsletter about AI research.
-
Capital Must Seek Delight
Too few people are experiencing the delights and serendipity of AI, causing capital misallocation
-
The Transformation of Documents: Repositories Are the New Unit of Knowledge Work
<div><img width="300" height="65" src="https://blog.sigplan.org/wp-content/uploads/2026/04/end-of-docs-April2026-v4-300x65.png" class="attachment-medium size-medium wp-post-image" alt="" style="margin-bottom:15px;margin-left:15px;float:right;" decoding="async" /></div>How will documents evolve when AI agents become ubiquitous? In a world of AI agents, does the repository become the source of truth—where humans declare intent, agents turn it into executable artifacts, and documents represent a targeted view of something more powerful?
-
Arbiter Progress Report 1
Lots of implementation progress & lots of discussion with the community.
-
Why AI Makes Things Worse for Enterprise Teams
Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and Thoughtworks on the productivity of enterprise teams using LLMs. While there’s been a dramatic increase in throughput—the amount of code produced—across the board, just 5% of orgs are seeing real gains from these tools, while the majority struggle with errors, bugs, and lower productivity than before AI was introduced. As Paul puts it: “The advantages of this technology are not equally distributed.”
-
A big lesson of my China visit: compute shortages are holding back Chinese AI
One estimate suggests that OpenAI has about as much compute as the entire Chinese AI industry.
-
The best argument I’ve heard for why AI won't take your job
In the first episode of the Platformer podcast, Box CEO Aaron Levie makes the case that you'll keep your job — but soon, you might not recognize it
-
Childhood And Education #17: Is Our Children Reading
Reading is the most fundamental thing in education.
-
How AI Madness Helped Fuel DOGE
Moloch the stunned governments! Moloch whose mind is pure machinery!
-
Inventing New Nature
Defining the Protocol Institute's research mission
-
Neural Computer: A New Machine Form Is Emerging
A research essay on Neural Computer: how it differs from agents, world models, and conventional computers; what runtime and CNC would mean; what current prototypes already show; and how software and hardware might change.
-
Quoting Andrew Quinn
<blockquote cite="https://til.andrew-quinn.me/posts/replacing-a-3-gb-sqlite-database-with-a-7-mb-fst-finite-state-trandsucer-binary/#fn:5"><p>One could say in the first quarter-century of my life, that while I was always fascinated by programming, I could never overcome the guilt of not really knowing whether the tool I am building right now isn’t already superceded by some much better implementation someone else has already written 30 or 40 years ago; I could write a TSV-aware search and replace, or I could find out about <code>awk</code> and solve that entire class of problems in one fell swoop, for example. My central conceit is that <em>this is a trap</em>. You <em>need</em> to reinvent a couple of wheels to get to the edge of what we know about wheel-making, not a thousand wheels, and not zero; probably four or five is sufficient in most domains, maybe closer to twenty or thirty in the most epistemically rigorous and developed fields like mathematics or computer science. Each wheel you reinvent, and every directed question you ask along the way, will propel you faster to the true frontier than that same amount of time spend in idle study, or even five times that amount.</p></blockquote> <p class="cite">— <a href="https://til.andrew-quinn.me/posts/replacing-a-3-gb-sqlite-database-with-a-7-mb-fst-finite-state-trandsucer-binary/#fn:5">Andrew Quinn</a>, footnote on Replacing a 3 GB SQLite database with a 10 MB FST (finite state transducer) binary</p> <p>Tags: <a href="https://simonwillison.net/tags/careers">careers</a>, <a href="https://simonwillison.net/tags/sqlite">sqlite</a></p>
-
Cosmik Updates: April 2026
Connections feature launched; "Sense is being made"
-
#769: Nothing you see online is true
Clipping as emergent online literacy, the women self-injecting bootleg Botox and the woes of Facebook nanny groups
-
The Inference Shift
Agentic inference is going to be different than the inference we use today, and it will change compute infrastructure because speed won't matter when humans aren't involved.
-
Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer
What laws does superintelligence demand?