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The author argues that policy efforts to restrict open-weight AI models would fail like past tech bans, while also being unsafe and freedom-restricting because they would concentrate AI power in a few hands.
A large share of critical reaction targeted the restricted, government-mediated release structure itself rather than GPT-5.6's capabilities, arguing it creates elite access asymmetry and state-picked winners while strengthening the case for open models.
A large four-study experiment (18,978 conversations, 6,923 people) found frontier AI models reliably out-persuaded expert human debaters, even ones who prepared extensively and were paid cash bonuses to perform well.
Despite acknowledging the fear of an openly accessible frontier-class model, the author argues that suppressing open models while closed labs monopolize massive capability gains would create a worse outcome.
Sam Altman says the constrained GPT-5.6 preview wasn't OpenAI's original plan but a response to a government request, and frames it as a step toward a transparent, reliable early-access process on the way to general availability.
A report from The Information indicated the U.S. government pressured OpenAI to roll out GPT-5.6 preview access one customer at a time, pointing to growing informal government oversight of frontier model releases.
Matei explains that binary tool-permission rules fail because actions that are fine alone (reading a doc, installing a package) become dangerous in combination via prompt injection, so Omnigent tracks session state to make contextual security decisions.