The questions worth sitting with
How Not to Be Very Powerful Broken People
A tool amplifies whoever holds it. As we pick up the most powerful tools in history, the decisive variable is not the machine but the human. Why becoming fully human is the work of this age.
Peptides: The Molecules I Can't Stop Thinking About
A curious technologist's take on peptides — from GLP-1's metabolic revolution to experimental recovery compounds and AI-designed drugs.
The Second Brain That Works While You Sleep
How I built a local agent swarm that processes raw notes overnight — scouts, catalogers, critics, editors — and leaves a morning briefing in plain Markdown.
Being Human in 2035
Elon University's Imagining the Digital Future Center canvassed nearly 300 global experts on what AI changes about being human. The answers were less reassuring than you'd hope.
The Seventeen Percent Problem
McKinsey's 2025 workplace AI report found a 3x gap between what leaders think employees are doing with AI and what employees are actually doing. That gap is the real crisis.
Seven of the Top Ten Skills Are Human
The WEF Future of Jobs Report 2025 said the quiet part loud: the skills that matter most in the AI era are the ones machines can't replicate.
Learn Anything Faster: The Science of Rapid Skill Acquisition
A practical playbook for rapid skill acquisition: deconstruct any skill, drill the high-leverage 20 percent, and reach useful proficiency in weeks.
The Teacher's Mindset: Education in the Age of AGI
In a world of super-intelligence, the most valuable skill isn't solving problems. It's defining them. We must all think like teachers.
The Personal Operating Layer: Your Digital Twin
Imagine an agent that knows your context, habits, and preferences. It's not just an assistant; it's your Personal Operating Layer.
Reliability in Chaos: The New Skill
In a fast-changing world, what you know matters less than what you can reliably do in a situation you've never seen before.
Talent Development Is Infrastructure
Why education needs to stop being a social service and start being treated like a power grid.
Graphs and State Machines for Agents, Part 2: Every Graph Is a State Machine
The agent world keeps renaming one idea: chains, loops, graphs. Under every name sits a finite state machine, the 1950s formalism that already runs your CPU.
Kimi K3 and the Moment China Took the Open-Weight Lead
The Kimi K3 open-weight model from China is the largest ever at 2.8T parameters, single-digit points off the closed frontier at a fraction of the price.
Graphs and State Machines for Agents, Part 1: From Lines to Graphs
Most multi-step agents are a straight line that waits on itself. Model the work as an AI agent graph of nodes and edges and it collapses into a wider shape.
Thinking Machines Bet You Want to Own Your AI, Not Rent It
Thinking Machines released Inkling, an open-weight AI model built to fine-tune and own, not rent. Why the build-vs-rent call just changed for enterprises.
The Software Factory: When the Lights Go Off
AI coding agents turned engineering into running a software factory. The one thing that decides whether it helps or wrecks you is verification, not generation.
Reading the Mind We Made, Part 3: When the Microscope Becomes a Steering Wheel
AI interpretability's real payoff is control: seeing inside a model lets you edit inside it. Why legible internals are the only form of AI alignment that scales.
Reading the Mind We Made, Part 2: Two Ways to Read a Mind
Two roads lead into the machine. Frontier labs read their own closed models from inside; open source AI interpretability makes the microscope public.
Reading the Mind We Made, Part 1: The Science of Seeing Inside AI
We do not program modern AI, we grow it. AI interpretability is the new natural science built to read the billions of minds nobody wrote. Here is how.
AI Agent Sandboxes: Where Your Agent Runs Its Code Decides Everything
Every capable agent eventually executes code it made up. Running that untrusted code safely, instantly, and cheaply is the real bottleneck for scaling agents. A deep look at Cloud Run sandboxes, E2B, Modal, Daytona and the isolation spectrum from containers to microVMs.
Stop Using Your Best Model for Everything: A Practical Guide to Model Routing
Most teams point all agent tasks at one frontier model and watch the bill climb. Routing by task complexity cuts costs 20-43% with near-identical quality.
Graphs and State Machines for Agents, Part 2: Every Graph Is a State Machine
The agent world keeps renaming one idea: chains, loops, graphs. Under every name sits a finite state machine, the 1950s formalism that already runs your CPU.
AI Is Wildly Overleveraged. It May Also Be Necessary.
The AI investment bubble is real and so is the demand behind it. A clear-eyed look at the capex, the debt, the circular financing, and whether revenue arrives in time.
Kimi K3 and the Moment China Took the Open-Weight Lead
The Kimi K3 open-weight model from China is the largest ever at 2.8T parameters, single-digit points off the closed frontier at a fraction of the price.
Graphs and State Machines for Agents, Part 1: From Lines to Graphs
Most multi-step agents are a straight line that waits on itself. Model the work as an AI agent graph of nodes and edges and it collapses into a wider shape.
Thinking Machines Bet You Want to Own Your AI, Not Rent It
Thinking Machines released Inkling, an open-weight AI model built to fine-tune and own, not rent. Why the build-vs-rent call just changed for enterprises.
The Software Factory: When the Lights Go Off
AI coding agents turned engineering into running a software factory. The one thing that decides whether it helps or wrecks you is verification, not generation.
Reading the Mind We Made, Part 3: When the Microscope Becomes a Steering Wheel
AI interpretability's real payoff is control: seeing inside a model lets you edit inside it. Why legible internals are the only form of AI alignment that scales.
Reading the Mind We Made, Part 2: Two Ways to Read a Mind
Two roads lead into the machine. Frontier labs read their own closed models from inside; open source AI interpretability makes the microscope public.
Reading the Mind We Made, Part 1: The Science of Seeing Inside AI
We do not program modern AI, we grow it. AI interpretability is the new natural science built to read the billions of minds nobody wrote. Here is how.
AI Agent Sandboxes: Where Your Agent Runs Its Code Decides Everything
Every capable agent eventually executes code it made up. Running that untrusted code safely, instantly, and cheaply is the real bottleneck for scaling agents. A deep look at Cloud Run sandboxes, E2B, Modal, Daytona and the isolation spectrum from containers to microVMs.