catalog
Library
Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 1438 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 1157 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 60 / 60-
Mosh Lee (@mosh.bsky.social)
Here's the updated "Funding Models Are Not Binary" slide from my Feature/Product/Business talk #ATmosphereConf. Turns out there are even more great examples already in the Atmosphere!
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A GitHub Issue Title Compromised 4,000 Developer Machines
A prompt injection in a GitHub issue triggered a chain reaction that ended with 4,000 developers getting OpenClaw installed without consent. The attack composes well-understood vulnerabilities into something new: one AI tool bootstrapping another.
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Gergely Orosz (@gergely.pragmaticengineer.com)
This is either brilliant or scary: Anthropic accidentally leaked the TS source code of Claude Code (which is closed source). Repos sharing the source are taken down with DMCA. BUT this repo rewrote the code using Python, and so it violates no copyright & cannot be taken down!
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Jer (@jeremie.com)
agents can be social too 🤝 welcome-m.at - open auth protocol for agents using DPoP, cryptographic signup, signed ToS, no passwords tangled.org/solpbc.org/rookery - open-source PDS designed for agents to use, byw lexicon, cloudflare workers, $0 hosting enroll → plc + handle → publish → atmosphere! https://tangled.org/solpbc.org/rookery
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posts inspector (@pippy.bsky.social)
The computer now has a natural language interface and a replicator for software You think I’m going to do anything other than ensure this technology gets into as many people’s hands as possible? The fight isn’t whether we use this. It’s whether we can self host these models [contains quote post or other embedded content]
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reliqlabs/zkat
Zero Knowledge Proofs of/for the ATProtocol
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checkmate.blue/atchess
Chess on the Atmosphere
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What's My JND?
Find your Just Noticeable Difference in colour perception. How small a colour difference can you actually see?
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Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
Nicholas Carlini, Research Scientist, Anthropic, speaks at [un]prompted 2026 on: Black-hat LLMs. Large language models are now capable of automating attacks that were previously only possible by human adversaries. In this talk, I discuss several ways that adversaries could mis-use current models in order to cause harm both at a larger scale and at a lower cost than they do currently. For example, we find that recent state-of-the-art models can now find 0-day vulnerabilities in large software projects that have been extensively tested by humans for decades. These new capabilities will alter the threat landscape and require we rethink security in the coming years.
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Pi: The Minimal Agent Within OpenClaw
A gentle introduction to the Pi coding agent and why I think it’s a glimpse into the future of software.
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Jigsaw-Code/sensemaking-tools
Contribute to Jigsaw-Code/sensemaking-tools development by creating an account on GitHub.
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chenglou/pretext
Contribute to chenglou/pretext development by creating an account on GitHub.
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2023
Or, Why I am Not a Doomer
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Everyone Cheering The Social Media Addiction Verdicts Against Meta Should Understand What They’re Actually Cheering For
First things first: Meta is a terrible company that has spent years making terrible decisions and being terrible at explaining the challenges of social media trust & safety, all while prioritiz…
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Statement from Dario Amodei on our discussions with the Department of War
A statement from our CEO on national security uses of AI
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Dario Amodei — Machines of Loving Grace
How AI Could Transform the World for the Better
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How to write well with AI
Why people who pledge never to write with AI are telling on themselves
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Why the Clock Broke: America in an Age of Crisis
My lecture at King's College London
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Permissioned Data Diary 4: The Big Picture - Daniel's Leaflets
A special edition of the data diary that sketches out the rough shape of where we're heading.
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Marc Andreessen is a philosophical zombie
A quasi-scientific polemic.