Technology

Computing, AI, and the systems beneath them.

Reporting, analysis, and essays on artificial intelligence, computer science, engineering, and the technologies changing how people work and think.

Reporting
Analysis
Essay
Interview
What the labels mean →

The Technology desk’s first pieces are in preparation. Below are the series they will publish in, the themes of the opening sequence, and earlier technical writing by the desk’s journalist.

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Seven questions the desk follows

AI Systems & Scaling

How far can current AI paradigms go?

Scaling laws, training methods, physical limits, and the open disagreements over where today’s AI systems are headed.

No pieces published yet

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Computing After AI

What skills, careers, and institutions remain important as AI changes software?

Education, careers, and the software business as AI takes on more of the work of writing code.

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Building Technology

How should great technology actually be built?

Product, engineering, and leadership practice inside the teams that build technology.

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Thinking & Learning

How do strong technical thinkers reason, learn, and improve judgment?

Systems thinking, metacognition, decision-making under uncertainty, and the habits of technical learning.

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Technology Landscape

Where is the technology stack moving?

Semiconductors, quantum systems, cryptography, and the layers of the stack that AI runs on.

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People Who Shaped Computing

What can we learn from important computer scientists and technical thinkers?

Profiles of researchers and engineers drawn from their public work, with interviews labeled as interviews.

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Applied AI & Practice

Where does AI create real value in the world?

AI in deployment: cybersecurity, research practice, ethics, and the work of making systems useful.

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Upcoming

First on the desk

Part 1
Computing after AI
What a computer science education and a software career offer as AI changes how code gets written, and where AI sits in the stack.
Part 2
Building and thinking
Where applied AI earns its place, and the reasoning habits that hold up in complex technical work.
Part 3
Limits and frontiers
Scaling laws, the physical constraints on computation, and the questions frontier AI labs answer differently.
Part 4
What comes next
What “AGI” is taken to mean, lessons from time in a research lab, and the computing skills that keep their value.

Who writes for the desk

Matthew Torre

Technology Journalist

Matthew writes about artificial intelligence, computer science, engineering, systems, technical learning, and the forces reshaping how technology is built.

Stanford University · B.S., Computer Science
Truth Computing · Co-founder, CEO & CTO
Truth Computing Media · Co-founder, Technology Journalism & Editorial Systems

Published elsewhere

Earlier technical writing

Papers, essays, and notes the founders published on their personal sites before the desk opened. They sit outside Truth Computing Media’s editorial process and are listed for context.