Was I wrong about open models & cyber risks?
In an October 2026 essay, the Interconnects author reassessed their earlier claim that open-weight AI models like Claude Mythos posed an existential cyber threat. They now argue that Mythos’s release would likely accelerate—not dramatically alter—cyber risks, citing limited evidence of societal harm so far. The author highlights that GLM-5.3, not Mythos, may have crossed the capability threshold…
Key points
- Author now says open models like Claude Mythos would cause an acceleration—not a step change—in cyber risks
- GLM-5.3, not Mythos, may have crossed the threshold for significant capability, per the author’s updated view
- Most recent vulnerabilities involve closed models, with attackers favoring proven tactics over speculative exploits
The piece contrasts exaggerated warnings from figures like Rob Wiblin and Anthropic with more measured assessments, such as Zvi Mowshowitz’s description of Mythos as a ‘cornucopia of zero-day exploits.’ While the author concedes that open models could disrupt cybersecurity, they emphasize that attackers prioritize proven tactics over speculative exploits. They also note that open models remain computationally expensive, limiting their near-term use in attacks. The broader trend, they argue, is an exponential rise in cyber vulnerabilities—accelerated by AI but not uniquely tied to open models—and call for systemic solutions beyond AI companies alone.
Model page: GLM 5.3 →
Was I wrong about open models & cyber risks?
Interconnects · 30 October 2026
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This text was published by Interconnects and written by Nathan Lambert. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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