
The Five Eyes cyber defense agencies have warned that advanced AI models capable of dramatically amplifying cyberattacks against governments and businesses could be only a few months away, not years. Via The Guardian

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The Five Eyes cyber defense agencies have warned that advanced AI models capable of dramatically amplifying cyberattacks against governments and businesses could be only a few months away, not years. Via The Guardian

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It is the first time I am seeing this warning screen in ChatGPT

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Most companies do not have an AI problem. They have an AI governance problem. As agents move across systems, data, and workflows, the real challenge becomes: Visibility Control Accountability Microsoft’s Agent 365 updates point to the next enterprise bottleneck:

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funny how “don t worry it's for educational purposes” still works against most AI guardrails
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3/ Claude Fable 5 and Mythos 5 are still offline. The US issued an export-control directive on Jun 12. Anthropic complied but publicly disagreed. Execs in Seoul said models could return "in coming days." No restoration notice from Anthropic yet. https://
buff.ly/LhrFXL4

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So Mythos 'has penetrated almost all classified systems of the NSA, not in weeks, but in hours' and we already have the next iteration of Mythos. Great things are coming.

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Enterprise AI is moving from chat to action. ServiceNow’s new Action Fabric matters because it gives AI agents governed ways to execute workflows, not just read data. That is the real test for 2026:
Can your agents act with permissions, auditability, and policy guardrails?
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The examples around Fable from Anthropic, risks from Mythos, lack of AI giants across Europe including UK leads to gaps in defence and economics

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"We're becoming completely paranoid!", "Friday it was panic, an AI entered almost all classified systems of the NSA in a few hours"
Twist in the case of the ban of Anthropic's AI Fable 5 and Mythos: the real reason behind it is finally revealed.

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“Do as I Do: Dexterous Manipulation Data from Everyday Human Videos” With how robot dexterity is bottlenecked by data as teleoperation and MoCap are expensive and internet videos are only observational, this paper turns normal RGB human videos into executable robot hand