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We have a year to fix security everywhere

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Why This Matters

The post argues that the release of GLM 5.3-flash — an open-weight, cheap-to-run model near the frontier — collapses the barrier to capable offensive hacking, because abliterated versions with safety refusals stripped out are freely available. If true, the industry's window to find and patch vulnerabilities at scale is short, though the same frontier models can be used defensively. It's a concrete framing of the dual-use AI security debate that matters to anyone running software infrastructure.

Key Takeaways
Worth a Look

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GLM 5.3-flash released last week, and that means Project Glasswing and Daybreak are running out of time. Cheap models capable of dangerous hacking are now available to anyone, without the normal safeguards for refusing malicious actions. We need to fix vulnerabilities across the industry so that we aren't caught unawares. And for one of the first times in computing history, we have the ability to! We can use frontier LLMs that move faster than a human to find and fix these issues in the time we have left. The hard remaining part is deploying the fixes.

This probably sounds like nonsense words or hysterical overreacting to most people, so here's what that means:

"GLM" is a kind of LLM (AI). The GLM family is open-weight, which means anyone can download and run the models.

"flash" means that it is cheap and fast to run, compared to most "frontier" models. "cheap" is relative, but think around 5-15k USD in hardware to run it locally.

"frontier" here means that the LLM is "close to the frontier of what AI is currently able to achieve".

Project Glasswing and Daybreak are initiatives to use LLMs to fix security issues across the tech industry.

"malicious actions" includes things like hacking infrastructure and telling people how to build pipe bombs.

The rest of this post is about what makes me so sure this is an imminent threat, and what we can do in response.

GLM

GLM 5.3-flash can be downloaded and modified by anyone in the world.

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