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tech

Book Review: The Coming Wave by Mustafa Suleyman

Introduction

Having recently finished Brian Christian’s The Alignment Problem, which looks closely at the micro-level mechanics of model safety and reward metrics, I picked up Mustafa Suleyman’s The Coming Wave as a natural follow-up. Where Christian concentrates on aligning individual algorithms, Suleyman zooms out: how society can contain and govern these systems once they proliferate globally.

Suleyman, co-founder of DeepMind and Inflection AI and currently CEO of Microsoft AI, offers an insider’s warning about the rapid convergence of artificial intelligence and synthetic biology. His thesis is straightforward: we are on the edge of an unprecedented technological surge that is, by its very nature, extraordinarily difficult to control.

From an engineering standpoint, the book shifts the focus from app-level security to supply chain risks across the tech stack. It asks a practical question: as dual-use capabilities become widely accessible, how do open societies mitigate potential misuse without undermining open source?

a glass laboratory jar sealed with a cork, containing a miniature roaring ocean wave made of glowing circuit traces and DNA helices pressing against the glass, a hairline crack running up the side, placed on a dark wooden desk beside an open book, soft single-source lamp light, deep teal and amber palette, minimal editorial illustration, tense and contemplative mood, centered composition

ai book-review synthetic-biology technology-policy

Book Review: The Alignment Problem by Brian Christian

Introduction

Anyone who has worked in software or product development knows Goodhart’s Law firsthand:

When a measure becomes a target, it ceases to be a good measure.

You reward developers for closing tickets, and you get a flood of tiny, low-value patches.
You optimise for engagement, and you end up with notifications designed to keep people glued to the app.

Brian Christian’s The Alignment Problem takes that familiar challenge and applies it to machine learning in a compelling manner.

The core question Christian explores is not whether AI will become sentient or take over the world, but rather the much more practical and pertinent: How do we stop intelligent systems from optimising exactly for what we measured, even when that is not what we actually intended?

As a software engineer, this is a challenge I think about frequently. Like many of us, I am still trying to figure out where AI fits into my workflow and how to use it responsibly. It is easy to assume that if we can define a clear objective, we can build a system that achieves it. Christian shows that the real difficulty is often not in defining the objective, but in making sure the objective is the right one.

a small friendly robot standing in front of an ornate mirror, the reflection showing a crowd of human silhouettes instead of the robot, faint data lines connecting the robot's head to the reflected figures, soft moody lamplight, deep indigo and warm brass palette, minimal editorial illustration, contemplative and slightly unsettling mood, centered composition

ai book-review machine-learning

agile

Book review: The Coding Dojo Handbook by Emily Bache

Reading Emily Bache’s The Coding Dojo Handbook was a welcome reminder of how we actually learn to build software. Most engineering books focus on what framework to use or how the latest language syntax looks, but this one tackles how you actually change team habits. Specifically, how do we help a team of developers get better at their craft when the daily sprint pressure never lets up?