Taming Silicon Valley: How We Can Ensure That AI Works for Us

⚖The case for it

Chapter two hands you the tool the whole debate was missing: chatbots as "authoritative bullshit machines," Harry Frankfurt's concept applied to systems that predict text without caring whether it is true. From there the book walks twelve risk categories and the lobbying that keeps Congress docile; one reader "learned a ton of hidden incentives for government decision-makers to reduce regulations against big tech." None of it demands a technical background: it "isn't a complex book, it's very accessible," and it answers the doom camp and the booster camp instead of caricaturing either. Pitched as a pamphlet in the Common Sense lineage, it reads in an afternoon and ends with eight proposals and a consumer boycott. "With passion and expertise, Marcus sounds a strong call to action."

— real-reader reviews (AI wing, 2026-08)

✕The case against

Page 177 is where the author admits he "raced to get this book out," and the sprint shows everywhere a copyeditor should have been: one detractor's tally runs "Disjointed, sloppy, lots of typos, superficial" (this from MIT Press), and even an admiring reader noticed the examples kept turning out to be things Marcus had already published online, which is why anyone following AI policy will recognize most of it from the daily churn. The policy chapters carry the same haste, eight proposals that assume a trillion-dollar industry will volunteer into oversight that cuts its own margins: "Big Tech will hardly sail against the tide," an academic reviewer warns, and another compares the framework to a sculpture with "toes and fingers melded together, because the modeller never knew their purpose."

— the honest librarian

5h

honest hours

7

sittings