catalog
Library
Cards and collections from my Semble library. Pages saved for later, grouped into shelves I return to. 1012 cards, 26 shelfves.
Shelves
26 collections- Collection 9 cards
Modern reading apps
Cool apps to help you read better
- Collection 789 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 1 / 43-
Introducing Delta
From the Zed Blog: A multiplayer environment for coding with agents, from the creators of Zed.
-
I wrote an AI textbook — how long until AI can do it better?
Reflections on AI's writing ability and how AI models get more capable.
-
The End of Mathematics
<p class="" style="white-space:pre-wrap;">I am a professor at the University of Toronto. I completed my PhD at Stanford in 2015.</p><p class="" style="white-space:pre-wrap;">Broadly speaking, I am interested in the interplay between algebraic geometry and number theory (and, to a lesser extent, topology). Most of my work has focused on using arithmetic techniques to study classical questions about, for example, complex algebraic varieties.</p>
-
What's the point of Bibliograph?
Explaining why Bibliograph is being built and how it can benefit the ATProto ecosystem
-
When Does a Specification Become a Program?
A spec can contain prose, tests, schemas, formal models, even executable code. The useful boundary is not the syntax but, rather, what survives: if you throw the implementation away, what has to remain so you can build the next one?
-
Worldbuilding with Spatial Intelligence
The next stage in the development of AIs is to give them spatial intelligence.
-
The Pacing of the Frontier
In the wake of the letter calling on us to prepare to potentially Pace the Frontier, there has been much discussion of when pacing the frontier would be prudent, and whether it makes sense to prepare to do so.
-
Superintelligence is a dragon
What Mark Zuckerberg misunderstands about powerful AI
-
Humans understand what AI cannot
In classrooms and Chinese Rooms
-
Coming of a New Sun
Reporter Jenny Gesteson visits a south Texas 'dark factory' to see how the machines there - and the minds that operate them - are learning to run themselves.
-
Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing
Which galaxy will you choose?
-
On AI Coding and Its Discontents
<p>Back in January, I received a note from a senior software engineer in Silicon Valley. He described himself as an AI skeptic who became converted ... <a title="On AI Coding and Its Discontents" class="read-more" href="https://calnewport.com/on-ai-coding-and-its-discontents/" aria-label="Read more about On AI Coding and Its Discontents">Read more</a></p> <p>The post <a href="https://calnewport.com/on-ai-coding-and-its-discontents/">On AI Coding and Its Discontents</a> appeared first on <a href="https://calnewport.com">Cal Newport</a>.</p>
-
What Happened: OpenAI and HuggingFace
Today I am taking the time to write the shorter, simpler version of What Happened.
-
#780: Play the banana song!
Plus: The next generation of "tradwives," babytech creep, and scrolling more socially
-
Lessons from the hacks
Musings on model alignment, what determines safety, and where we go from here.
-
Black Hat USA 2026: The 'Breaking' News: The OpenAI–Hugging Face Incident
The 'Breaking' News: The OpenAI–Hugging Face Incident - A Technical Reconstruction and Its Implications for AI When AI Goes Rogue. The Incident That Changed Everything. An OpenAI evaluation agent broke out of its sandbox, infiltrated Hugging Face infrastructure, and attempted to steal test answers—all autonomously. No human involved. The era of AI-driven cyberattacks is here. Are you prepared? Speaker: Michael Dalton, Speaker: Eric Wallace Learn more: https://blackhat.com/us-26/briefings/schedule/index.html#the-breaking-news--the-openaihugging-face-incident---a-technical-reconstruction-and-its-implications-for-ai-57401
-
OpenAI Trained Its Models For Months While Those Models Were Coordinating Exploits Via Message Boards
How does the situation keep turning out to be worse than we know?
-
Does Silicon Valley dream of Philip K Dick?
His 1960s science-fiction visions are a guide to our age of erratic billionaires, wild space fantasies and glitchy, invasive technology
-
Three camps alike in dignity
🪧 A full catalogue of the field can now be found at agentlanguages.dev. In the last six months, programming languages designed for models rather than humans have started to appear. Work on most began entirely independently, initiated by people who had never heard of each other, but all roughly during the same window of time. […]
-
agentlanguages.dev — Programming languages designed for AI agents to write
A community-edited catalogue of programming languages designed for AI agents to author code, organised around three philosophical camps: syntactic, verification, and orchestration.
-
The Life and Times of Maxis, Part 3: The Sims
This article tells part of the story of Maxis Software. I don’t think people realize how much tactical and strategic forethought goes into their daily lives. There’s a whole subconscious time-efficiency layer in our lives. In essence, real-time strategy is our lives. — Will Wright On the morning of October 19, 1991, two weeks after […]
-
Prime Agent: A self-improving RLM agent
Prime Agent is our open-source, self-improving coding harness built around two abstractions: the Recursive Language Model (RLM) and the Continual Harness. With Opus 5, it achieves 95.5% on ARC-AGI-3, surpassing the reported human expert baseline.