Expert takes
From the Jul 18, 2026 daily brief
He restated a judgment: frontier open models, in his framing, are accelerationist for AI diffusion and deflationary for the valuations of the largest, most capex-heavy tech companies — open models deliver the gains earlier and more broadly, shrinking the premium that closed models can charge (X / @natolambert, Jul 17). The link resolves only to his profile page, not the original post. Caveat: Lambert is a public advocate for open models, so his position and his judgment point the same way; this is a restatement of an existing view, not new evidence — and he appeared in this same column in yesterday's July 17 issue. Multiple judgments from one person do not corroborate each other in this brief.
Just an email address, unsubscribe anytime. This is the only thing we ask of you.
swyx, the AI-engineering commentator and co-host of the Latent Space podcast, put it flatl…
Sholto Douglas, a reinforcement-learning researcher at Anthropic, predicted in a post: "So…
Dwarkesh Patel is an independent tech interviewer and writer whose deep AI-industry essays…
Thompson writes Stratechery and is among the most-cited analysts on industry strategy. In …