Affiliate disclosure: As an Amazon Associate, I may earn commissions from qualifying purchases made through the following link. What to Think About Machines That Think by John Brockman
Artificial intelligence is no longer the stuff of science fiction. It’s a living, evolving reality—one that permeates our smartphones, search engines, and social media feeds. But how should we think about machines that think?
That question—equal parts philosophical and practical—is at the heart of John Brockman’s edited volume, What to Think About Machines That Think. A collection of nearly 200 essays from technologists, philosophers, scientists, and writers, the book opens a broad and critical discussion about the implications of AI in our lives.
As part of our ongoing series on artificial intelligence here at Pursuit of Thought, this post synthesizes some of the book’s most impactful themes and links them to the human experience and future of intelligence. Expect more reflections like this in future posts as we dive deeper into the AI-human interface.
1. Intelligence Is Not Intention
Many fears about AI—machines taking over, enslaving humanity, or eliminating jobs—are based on anthropomorphizing intelligence. As several contributors to Brockman’s book point out, intelligence is not the same as intention. Being smart doesn’t mean wanting something.
This distinction becomes foundational when designing systems to make decisions without assuming they desire autonomy or domination. Intelligence, at its core, is the ability to solve problems—not to set the agenda. Goals are imposed by humans, not by the machines themselves.
This echoes Pursuit of Thought’s discussion on decision fatigue: not all decisions require deep contemplation. Delegating low-level tasks to AI can free our mental bandwidth for more meaningful work—but only if we remember who’s setting the rules.
2. Designed, Not Artificial
The term “artificial” in artificial intelligence often evokes images of cold, robotic replicas of human minds. But Brockman’s contributors argue for a reframe: AI is better thought of as designed intelligence—a suite of systems architected by humans, for human-defined purposes.
This terminology shift emphasizes human agency and design over dystopia. It also encourages a more nuanced view of what machines are for—tools to extend human capacities, not autonomous entities with their own ends.
Just like the tools described in our post on digital productivity stacks, AI is only as powerful as the intentionality behind it.
3. The Real Risk: Complacency, Not Control
Brockman’s anthology tackles a critical misconception: the greatest threat from thinking machines isn’t superintelligence turning rogue—it’s human complacency. The real danger is blindly trusting systems we don’t understand.
Today’s algorithms are opaque, embedded in software that shapes everything from financial decisions to political opinions. As one essay puts it, “machines don’t think like us—and often, we don’t understand how they think at all.”
This insight parallels our recent write-up on data literacy. If we fail to stay curious and informed about how algorithms work, we risk surrendering control to systems whose goals may not align with our values.
4. Collaboration Over Competition
Instead of framing AI as a rival, many contributors advocate for partnership. Think Kasparov and Deep Blue—where the strongest chess isn’t human or machine, but a team of both. This hybrid approach is already transforming fields like healthcare, logistics, and education.
We saw this theme emerge in our exploration of team dynamics in a digital age. Human-AI collaboration might become the default mode of working, with AI serving as a tireless assistant that never fatigues, forgets, or flakes.
5. Alien Thinking: Understanding the Unfamiliar
Some contributors in the book introduce the concept of Alien Thinking—forms of intelligence that might emerge from non-biological substrates and behave in ways utterly foreign to us. These intelligences may not think, feel, or reason as humans do. They may not even be conscious.
Preparing for such divergence is part of what Brockman calls “intellectual humility.” It’s a recognition that AI may not evolve as an extension of human cognition, but as a different branch of intelligence entirely.
6. Intelligence Without Empathy
One of the most sobering themes in the book is that decision-making and thinking aren’t the same. Machines can outperform humans at diagnostics, risk assessment, and logistics—but they don’t feel. They don’t empathize.
As one contributor puts it: “Machines that decide, but don’t think, are the real danger.” That danger lies not in evil intent, but in the absence of context, nuance, and ethical reflection.
In our post on moral decision-making under constraints, we explored the difficulty of choosing in the real world. AI lacks the moral intuition required for many of these choices—and we must tread carefully before handing over the reins.
7. Scaling Without Understanding
Unlike human brains, machines scale effortlessly. They share knowledge instantly and retain it indefinitely. But their ability to scale outpaces our ability to understand how they arrive at decisions.
This creates a feedback loop: we build systems we don’t fully grasp, then rely on them to manage increasingly complex systems—from traffic to terrorism to healthcare policy.
8. A Call for New Literacy
AI literacy is the new civic literacy. To engage meaningfully in a society shaped by intelligent machines, citizens must learn to ask: What is this system optimizing for? Who designed it? Who benefits?
That’s why Pursuit of Thought will continue to explore these topics in future posts—offering practical frameworks for staying informed and empowered in a world increasingly shaped by code.
Final Thoughts
What to Think About Machines That Think doesn’t offer easy answers—but it doesn’t need to. It equips readers with a spectrum of perspectives, from techno-optimism to cautious realism.
It invites us not to fear thinking machines, but to reflect on what it means to think at all—and what it means to be human in an era where thinking is no longer uniquely ours.
👉 Ready to explore further? Check out the book here: What to Think About Machines That Think by John Brockman
And stay tuned for more AI-related essays coming soon on Pursuit of Thought.