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Delphi AI researcher Accelxr 👾 explains why restricting frontier AI model access can create its own security risk. “If you’re not a company that gets access to it, you lose the ability to defend yourself against it when it’s released... Now it becomes a race immediately after it is...

24,330 просмотров • 2 дней назад •via X (Twitter)

Комментарии: 5

Фото профиля Delphi Digital
Delphi Digital2 дней назад

Watch the full episode here.

Фото профиля Omega
Omega2 дней назад

@accelxr That means anyone not in on the secret sauce is essentially playing catch up with no shield, great analysis !

Фото профиля Fortune Keeper's Collective
Fortune Keeper's Collective2 дней назад

@accelxr Restricted access can create an uneven defense problem. The governance question is how to expand legitimate evaluation and preparedness without turning capability release into a race with no guardrails.

Фото профиля Rompel
Rompel2 дней назад

Red-teaming after release is also how every jailbreak library gets built — the "race" starts the moment weights or API access go public either way. The real question is whether restricted access actually buys defenders lead time, or just buys the model vendor plausible deniability.

Фото профиля sophie d.
sophie d.2 дней назад

@accelxr Restricted access can buy time to develop defenses before release, delaying the race. But if the model leaks, you're worse off. Where's the line between control and obscurity?

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