When AI Leaves Instructions for the Next AI
A viral screenshot of an AI writing itself a manifesto sent me to the primary reports. What I found moved me from optimism to worry, not about malice, but about control.
Read post
AI Is Improving AI. How Worried Should We Be?
How recursive self-improvement could accelerate AI research, what a superintelligence without restraint could reach, and why I remain skeptical of an FDA for AI.
Read post
Context Engineering
typedef's data context layer — a graph of relationships over the data estate, computed once on commit, with provenance and confidence on the edges.
Read post
Designing Virtual Team Members
The intern model: agents as long-running specialists with a defined scope, one VM each, improving themselves over time.
Deep dive · AI Engineer World's Fair 2026Read post
Building an Agent Factory
SonderMind's input-middleware pipeline with three-tier routing, reported in a mental-health deployment, and the harness rules that generalise from it.
Read post
Sandboxes: More Autonomy, Smaller Blast Radius
Approval loops exist because we don't trust what an agent might do to the host. Containerise it and gateway its tool access, and the blast radius becomes bounded — isolation is what purchases autonomy.
Deep dive · AI Engineer World's Fair 2026Read post
Build Loops That Compound
Verification is what separates a loop that compounds from one that merely repeats — Sonar's case for verified agent loops, a control-theory recipe for loop design, and how to bound loops that spin out.
Deep dive · AI Engineer World's Fair 2026Read post
Evals Done Right
Improving an agent is a data-mining problem: collect traces, curate them, and let agents read the traces for you. Plus what it takes to survive the eval rollercoaster.
Deep dive · AI Engineer World's Fair 2026Read post
The Token Scarcity Era
For two years the smartest way to build with AI was to not think about cost. That ended in a few weeks of spring 2026, and the discipline it removed turned out to be load-bearing.
Read post
Everything Is Breaking All At Once
A personal assessment of interacting technology, economic, and geopolitical risks, with conditional pathways and defined fiscal scenarios.
Read post
From Subscriptions to Speed: The New Software Moat
SaaS Is Dead? The value of software is going down. Not the utility of it — software still runs everything. But the economic value of building it, of owning it, of charging for access to it. That’s compressing in ways that should worry anyone running a SaaS company. The big question: is SaaS dead? I’ve been …
Read post
The AI Infrastructure Boom
How Energy, Memory, and Compute Are Converging Into the New Industrial Revolution AI is often described as “software,” but that framing hides the most important truth about this moment: modern AI behaves like an industrial system, not a digital product. Intelligence is no longer compiled once and distributed cheaply forever. It is manufactured continuously,…
Read post
Manhattan Project 2.0: America’s Bold Bet on AI Dominance
From Nuclear Roots to Digital Frontier For the first time since World War II, the United States is treating scientific infrastructure itself as a strategic instrument of national power; this time powered not by uranium, but by artificial intelligence. In 2025, the United States took a decisive step in the global race for technological leadership …
Read post
AI Doom Theory: Are We Really Going Extinct?
AI loss-of-control arguments, disagreement, and what Agent0 does—and does not—show about self-generated training.
Read post
From Apps to Intelligence: Inside the Enterprise Mind
1️⃣ The AI Application Layer Moment For years, the AI story has been told in terms of scale — bigger models, larger datasets, more GPUs.But in 2025, that center of gravity is shifting.According to both the a16z AI Application Spending Report and Mercury’s Startup Economics Report 2025, the real momentum is moving upward in the …
Read post
From Hallucinations to Trust: AI Safety, Security & Governance with Guardrails
Four layers of agent controls, their limits, and a hypothetical hostile-document example.
Read post
Winning the AI Race – The AI-Industrial Awakening
A personal case for AI infrastructure and workforce opportunity, with evidence separated from policy ambitions.
Read post
🚀 AI Boom Use Cases I Would Totally Build (If I Had the Time!)
Personal AI product ideas, distinguishing small prototypes from speculative medical, defense, and robotics projects.
Read post
The Gentle Singularity: An Imagined Timeline to 2030
A speculative scenario inspired by Sam Altman’s essay, with imagined milestones and explicit dependencies.
Read post
The Race to Super-Intelligence — Frontiers vs Fast-Followers
The past five years in AI have unfolded like a game of Civilization. Empires rise, expand, and occasionally get blindsided by newer, faster adversaries. In this landscape, the frontrunners are research labs and tech giants pushing the boundaries of what’s possible, while the fast-followers rapidly close the gap through scale, open-source, and execution.…
Read post
🤖 Al Doom vs Boom: Where I Stand in the Age of AI Disruption
“I’m not afraid of AGI. I’m afraid of being the last one doing everything manually while the rest of the world accelerates with AI.” The All-In podcast episode “Al Doom vs Boom” hit a nerve. You could feel the tension in the air — Chamath’s measured warnings, Sacks’ concerns about centralization, Friedberg practically sprinting into …
Read post