Companion videos

The ten AI myths holding you back — companion videos

The article picks apart ten of the loudest myths about AI — that it thinks like a brain, that it's coming for every job tomorrow, that it's all hype or all peril. These two videos are the calmest long-form takes we found on the same questions: one journalist asking former-Google-CEO Eric Schmidt the awkward questions, one developer-essayist arguing carefully about what "AI-generated" actually means.

Primary pick

11:42
What We Get Wrong About AI (feat. former Google CEO)

Cleo Abram

Cleo Abram walks through both the "it will kill us all" and "more profound than fire" extremes, asks Eric Schmidt the awkward questions, and lands on a sober middle. The framing — "we're living inside a trolley problem" — is exactly the spirit of the article: neither dismiss the technology nor catastrophise it, just understand what it actually is.

What you should get from this: You can argue a sober middle position between the doom and utopia extremes of the AI debate, and know which questions actually matter.

Watch or know first: None — watchable cold.

AI Expert note: We picked it for the framing rather than the interview — the 'neither dismiss nor catastrophise' posture is exactly the article's, and it gives you language for pushing back on both extremes.

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Also worth watching

33:54
"Generative AI" is not what you think it is

Acerola

A developer-essayist works through the "AI is just slop / AI is magical / AI is theft" trio of myths with patience and code on the screen. If the article's myth #4 or #7 ("it's just plagiarism," "it's just plagiarism but for art") nagged at you, this is the video that earns the right to disagree with you.

What you should get from this: You can push back on the slop, magic and theft framings with a clearer picture of what generative models actually do.

Watch or know first: None — the on-screen code illustrates the argument; you don't need to read it to follow.

AI Expert note: Included for the slop/magic/theft trio specifically — reach for it when the article's myth #4 or #7 nags at you, not as a general explainer.

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