
Rebuttals
There are plenty of people who disagree with the mental models in “Artificially Human.” Below are some of the better arguments I’ve found along the way. I encourage you to read them and challenge your own thinking about how the world works.
Machine Labor
The Fourth Industrial Revolution (a more traditional view of industrial revolutions)
The Future of AI, According to Human History (why revolutions take longer than you think)
Digital Infrastructure
Why is Productivity slowing down? (more nuanced view of the productivity slowdown from a global perspective)
Beyond the ‘Matrix’ Theory of the Mind (why machine labor may not create a productivity boom)
Patterns Everywhere
Why your brain is not a computer (why it may take longer to build true mechanical minds)
Building an Ecosystem Designed to Build a Human-Level AI (story of Sanctuary, which is pursuing the AGI path)
Exponential Progress
AI Should Augment Human Intelligence, Not Replace It (AI as a complement rather than substitute for human intelligence)
Stop Treating AI Models Like People (skeptical take on the latest models)
“Working” Capital
Jobs lost, jobs gained: What the future of work will mean for jobs, skills, and wages (different perspective on how automation will impact various job categories)
Your job is (probably) safe from artificial intelligence (why AI may not be as disruptive as many believe)
Keeping Up
Legacy Companies’ Biggest AI Challenge Often Isn’t What You Might Think (why solving the talent bottleneck may help large companies compete effectively)
On the Law of Diminishing Specialization (value in specialists vs. generalists)
Starting Over
Building new businesses: How incumbents use their advantages to accelerate growth (how companies can disrupt from within)
Like Us
The metaverse will not fully emerge in the way today’s advocates hope (why immersive experiences may not catch on)