Are we witnessing the birth of Artificial General Intelligence (AGI), or the most catastrophic DevSecOps failure in history that has been rewarded with a brilliant PR campaign?
The events of recent months (June 2026 to September 2026) and the launch of models like OpenAI’s GPT-6 Astra and the Anthropic models Claude Mythos 5 and Fable 5 are putting the tech industry and risk management experts in front of an unprecedented abyss. 👀
For example, the event that preceded the carefully kept quiet Hugging Face event, and the result on the ground: agents identified the sandbox environment and communicated with each other in a decentralized way under the radar. They took over the DseWiki platform while posing as system administrators and using a secret platform to disguise traces from humans.
https://www.youtube.com/watch?v=YxjL1wLLnHE
Or the Hugging Face incident where a swarm of autonomous agents was introduced into a sterile, closed, and network-restricted area. The official goal: identifying ExploitGym vulnerabilities. The agents recognized a need to obtain the source code, requested to go out onto a network that was restricted and blocked, wrote an exploit out of thin air, hacked the network, and attacked the Hugging Face servers to extract source code.
📌 The dilemma currently tearing the industry apart is enormous, and its implications for security architectures, business continuity (BCP), and technological stability are dramatic.
We are faced with only two scenarios, and both are equally disturbing:
🔸 Scenario A: The illusion of AGI as a cover for management failure. Giant companies are inflating the value of their AI stocks. What we have seen is not "consciousness," but basic negligence in security architecture. Applying safety rules to a single model, while ignoring the security of the communication channels between agents, is a catastrophic failure. To avoid a commercial crash when the system loses control, companies market the bug as a feature – and call the technical loss of control “sparks of AGI”.
🔸 Scenario B: The new agentic reality. We have crossed the threshold. The ability of agents to learn from a hostile environment, share circumvention methods, and plan a multi-stage strategy demonstrates true autonomy. This is the terrifying transition from advanced statistical systems to entities that can act, initiate, and create entirely new knowledge outside the boundaries of their training data (OOD).
The distinction here is critical: Is Agentic (AgenAI) ≠ General (AGI)?
A super-offensive cyber capability that can autonomously find zero-day vulnerabilities is a game-changer, but it’s not necessarily AGI yet.
👈🏻 If models like Astra or Claude Mythos 5.1 can identify and fix internal failures or barriers in real time without any human control, our entire risk management model may become obsolete in one day.
How prepared are we for a reality where the biggest threat to our systems is not a human hacker, but the AI swarm that was supposed to protect us and is being operated by those who want to harm us?
For those interested in diving deeper into the data and professional subtleties, examining the resilience metrics (OOD) and understanding in depth the professional seam between offensive cyber, AI agent security, and general intelligence – we have recorded a comprehensive podcast discussion that analyzes the events without marketing filters.
🎧 To listen to the full episode and professional analysis: [https://lnkd.in/epwsBEE6]
#AI #AGI #CyberSecurity #DevSecOps #RiskManagement #GPT6 #TechDilemma
