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OpenAI’s new GPT‑5.6 Sol model is restricted to a small group of approved partners following a Trump administration request, sparking user backlash and raising
OpenAI announced that its newest GPT‑5.6 Sol model is available only to a “small group of trusted partners” after a request from the U.S. government, prompting users to warn that a divide between AI haves and have‑nots has begun.
| At a glance | |
|---|---|
| Model series | GPT‑5.6 (Sol, Terra, Luna) |
| Access | Restricted to select partners |
| Government role | Requested by Trump administration |
| Expected broader release | “In the coming weeks” per OpenAI |
OpenAI said the restriction is a temporary step while the White House conducts a cybersecurity review of the Sol model, the flagship of the GPT‑5.6 series [1]. The request comes under an executive order signed by President Trump in June that allows the federal government to vet advanced AI systems for up to 30 days before public release [2]. OpenAI’s statement emphasized that it “doesn’t believe this kind of government access process should become the long‑term default,” framing the limitation as a short‑term safeguard rather than a new norm [1].
The limited rollout has sparked frustration on platforms like Reddit, where users describe the situation as the start of an “AI divide” between those with privileged access and the broader public [1]. Competitors are watching closely; Anthropic recently withdrew two models (Fable 5 and Mythos 5) after a similar government directive, highlighting a growing trend of regulatory pressure on frontier AI labs [2][3]. OpenAI claims Sol matches Anthropic’s Mythos model on cybersecurity tasks while using a third of the output tokens, but these performance assertions remain unverified by independent benchmarks [1].
OpenAI positions the GPT‑5.6 series as a step up from GPT‑5.5, citing improvements in affordability, safety, coding, biology, and cybersecurity [1]. The company also notes that all three models—Sol, Terra (for everyday work), and Luna (the smallest and fastest)—are built with stronger safeguards against adversarial prompts [1]. However, the lack of public testing means developers and enterprises cannot yet assess whether the claimed safety gains translate into real‑world advantages over rivals like Anthropic or other large‑language‑model providers.
The restriction underscores a tension between rapid AI innovation and emerging national‑security oversight, leaving the industry to gauge how government vetting will shape access to the most capable models.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 3 outlets · Jun 28, 2026 · How we report
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