Ben Thompson

Ben Thompson's essay argues Chinese AI panic is overblown: Moonshot's Kimi K3 prices tokens at $3/$15 per million against a frontier rival's $5/$30, evidence he reads as intelligence turning into a plain commodity, not a security crisis.

One reader who benchmarked roughly 50 models for a real production system found the opposite: frontier models were far more token-efficient than open-weight ones, even scoring worse on raw accuracy — the number Thompson's argument never cites.

Thompson traces a pattern: Mythos withheld as too dangerous in April, Fable released with guardrails in June and promptly jailbroken, then both gated under ITAR export controls. Safety, he argues, conveniently aligns with talent, mission, and business.

The sharpest rebuttal in the thread: you can't be on your way to 'power over everything' and get distilled into free Chinese models within months. Pick one. The bottleneck is compute and data, not the model.

The setup is a contrast in AI strategy — cloud-resident agents you reach through thin devices, versus a phone that hosts a ~20-billion-parameter on-device model with personal context.

Readers who know Thompson's track record flagged the title as clickbait and questioned his 'consumers don't want to work' premise as cynical.

The flip: a Siri that actually works would be an Apple advantage, not its last stand — and the iPhone gained share in a quarter with no AI marketing at all.