AI Mania: From Tulips to Tokens — A Critical Look at the AI Hype Cycle

Sean Helvey's essay "AI Mania: From Tulips to Tokens" uses Michael Pollan's coevolutionary lens to argue that AI, like tulips in the Dutch Golden Age, is a self-replicating meme that bends human desires to its own spread. The essay pulls in critics like Yann LeCun (animals learn better than machines), Donald Hoffman (conscious agents as base layer), and Sam Altman's singularity claims, but Helvey's core point is skepticism: AI hasn't solved the "hard problem" of consciousness, and the industry lacks transparency.

Key practical points from the essay:

• AI agents are inefficient: Helvey notes agents often search the web 5-10 times per query due to stale models, increasing traffic and resource consumption.
• Data center explosion: He cites a map showing 33 operational, 66 under construction, and 8,837 public concern comments — highlighting the scale and pushback.
• Environmental costs: He asks who pays for water cooling and energy, noting new transmission lines take 4-8 years and transformers are backordered.
• Ownership recommendation: Helvey suggests AI compute should be treated as a public utility, owned locally, like agrivoltaics projects that combine solar and farming.
• Historical context: He recalls predictions of programmer extinction from the 1960s and Elon Musk's repeated misses on full self-driving dates.

The article is a critical take on the AI hype cycle, urging developers to consider externalities and who profits. It's a useful counterweight to the usual boosterism.