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 16 / 43-
Some ideas for what comes next, May 2026
Gemini Flash 3.5, Mythos, open-closed balance, America's open-source surge, emerging power struggles and more.
-
Agents want flexible schemas
The NoSQL comeback nobody saw coming
-
Suburbanasia
The environment younger Millennials and older Gen-Z grew up in withered away their ability to mitigate stress and handle disagreements. Is there any way to fix it?
-
Commodity Intelligence
The seductiveness of “general intelligence” is rooted in a costly category error
-
Planescape: Torment, Part 1: From the Tabletop…
This article tells part of the general story of Dungeons & Dragons on the tabletop and on computers, which includes the more specific one of the Infinity Engine games. My power fantasy when playing a role-playing game is to confront a villain, explain point by point why his master plan is flawed, and then get […]
-
Many Act 2 Games are Afoot
Protocol Institute, Long Now Labs, Strange Rules art show, vgr_zirp update, World Machines, TensTorrent
-
Graph Minds Notebook
A series about hive minds, Borgs, egregores, and other emergent beasts
-
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