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 8 / 43-
Introducing AI 2027
Or maybe 2028, it's complicated
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Academia: The Evolving Case For Reading
Thursday's Child Has Far to Go
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A Tale of Two Theories (of Coordination)
Leveraging and Deleveraging Toward Thick Sovereignty
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Up the Stack: How AI’s Escape From the Commodity Trap Risks Enterprise Lock-in
Critics and boosters are both looking in the wrong place
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Toward environmental liberalism
The underlying normative claim of my environmental writing
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After Forty Years, Still No Silver Bullet
As always, technology can help with production. What’s scarce is orientation.
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AI #176 Part 2: Plan B
This is part 2 of the weekly, broadly covering speculation, rhetoric and policy, along with alignment research.
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Friday Friday, July 10, 2026 (On the Chud Vision of Roman History)
Hey folks, Fireside this week! I’ve been a bit behind because we had some family travel followed by an issue with a water leak in the basement which has pushed me out of my normal home office space (fortunately no books or computers were harmed and we’re working on water damage restoration now). All of … <a href="https://acoup.blog/2026/07/10/friday-friday-july-10-2026-on-the-chud-vision-of-roman-history/" class="more-link">Continue reading <span class="screen-reader-text">Friday Friday, July 10, 2026 (On the Chud Vision of Roman History)</span> <span class="meta-nav">→</span></a>
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Ways to think about token pricing
AI is in a supply crunch today, but what happens when we come out of it? How and where will supply, demand, price, capacity and capex get back into equilibrium? Today, model labs can name their price, but why won’t they end up as low-margin commodity infrastructure?
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Childhood and Education #20: Phones and Screens
We have a respite, so I thought I’d tackle various thoughts on children, phones and screens.
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Chasing life goals is a recipe for disaster – so try these tiny experiments instead
Whether its our careers, health or relationships, we often set the bar too high and end up feeling disappointed when it doesn’t work out. Try this new way of thinking … and you may just see some real results
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Why Observability Requires a Distributed Column Store
Alex explains distributed column stores, how they work, why they're so fast, and why that's a fundamental requirement for observability.
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Observability 2.0 — Observability Is About Asking Any Question
For years, the observability industry has been telling developers two contradictory things: "Build reliable systems" and "Log less, it's too expensive." This post is about a different shape of data — wide events — that gives you more answers for less money.
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Josh Clemm (@joshclemm) on X
The agent trace is one of the most important new pieces of data in AI It creates a flywheel. By combining the trace and the original context, you create new data that feeds directly into the next agent run.
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Publish events, not logs
Don't think about logs for observability. Think about system boundaries and events.
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All you need is Wide Events, not “Metrics, Logs and Traces”
This quote from Charity Majors is probably the best summary of the current state of observability in the tech industry - a total, mass confusion.
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In software, the code documents the app. In AI, the traces do.
Discover how traces for documentation replace code as the source of truth for AI agents. Learn to debug, test, and optimize agent behavior effectively.
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Clickhouse is winning the Observability Wars
For roughly the last ten years, a meaningful percentage of my working hours have been spent thinking about observability. If you're not familiar with the term, "observability" is what we call it now that "monitoring" doesn't sound expensive enough. The actual work is unglamorous in that you collect
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Do you believe that everybody should have fun or that only a few people should have fun?
Which side are you on?
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AI #176 Part 1: Doing It Live
Enough things added up that this week is getting split into two parts.
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We Are Losing the Ability to Discover What We Didn’t Know to Ask
What used to be a meandering journey is now an immediate arrival at your destination.
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Vibe coding has escaped the terminal
Adventures with Raycast’s new app-making app, Glaze
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Mu for democracy
designing for social cohesion