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Voice of AI: Two attacks, two data centers: The new vulnerability of AI ⚠️

Writer: Ralph Schwehr
Ralph Schwehr
3 hours ago
4 min read

On the night of October 8th, a data center in Sasovo, about 300 kilometers from Moscow, went offline. The cause was not a software error, but a drone attack, and a second location was hit the following day. At the same time, ChatGPT users received a completely new interface, Europe presented its largest AI model to date, and in New York, OpenAI was sued for over $250 million. This week's question is:



If the cloud has an address

The attack hit the data center of Yandex, Russia's largest technology company. According to the company, the site completely shut down, and some services were unavailable. On October 9, Yandex reported a second attack in the Kaluga region, in which several modules failed completely. Two of the three supercomputers Yandex uses to develop its AI models are located in Sasovo. It remains unclear whether the technology can be restored.


The consequences extended beyond Yandex: customers of the infrastructure were also affected, including the websites of the Russian state railway and a mobile phone provider. Both sides in the war are now attacking digital infrastructure; previously, Russia had targeted data centers and telecommunications facilities in Ukraine.

The lesson is independent of the conflict: The "cloud" is not an abstract place. It has electricity, cooling, connections, and an address. And that makes it vulnerable.


Their Plan B doesn't begin in the data center.

For companies in Germany, Austria, and Switzerland, a drone attack is not a realistic planning scenario. Outages, however, are very much a concern. This year, export controls have temporarily removed AI models from the global market, providers have restricted access overnight, and cyberattacks on infrastructure are commonplace.

The crucial questions are therefore organizational: Which processes depend on which model? Is there a secondary provider? How long can a core process survive without AI? The AI Readiness Check on readiness.oakai.de makes precisely these dependencies visible, including a prioritized roadmap for the next 30, 60, and 90 days.


A new interface for hundreds of millions of people

While servers in Russia were down, OpenAI changed the daily lives of its users. Since October 7th, GPT-6 has been rolling out in ChatGPT; free accounts received the Luna variant on October 8th, and paid plans received GPT-6 Sol. The main innovation is called "Intelligent UI": replies now include charts, buttons, and small calculators, and ChatGPT can even build simple tools directly within the chat if desired.

The consequence for companies: Employees create tools that no one in IT has reviewed. A spreadsheet from the chat window might be helpful, or it might calculate incorrectly and still end up in a client presentation. The OAKAI AI Competency Assessment ( readiness.oakai.de/tools/ai-competency ) shows whether teams can critically evaluate AI results before using them.


Europe's third way now has a model

Mistral has unveiled Mistral Large 4 , a multimodal model with one trillion parameters, 49 billion of which are active per processing step. It was trained on approximately 3,800 Nvidia GPUs in Mistral's own European data centers. Emmanuel Macron describes this approach as a "third way" between closed US models and open Chinese systems.

Clarity instead of hype: Independent benchmarks are still pending, and the model weights will only be released after the security tests are completed. Nevertheless, the strategic value is obvious. A high-performance model that companies can run on their own infrastructure is precisely the Plan B that this week has so urgently suggested.



Rights and limits: When law and politics have a say

Resilience isn't just about technology. USA Today Co. sued OpenAI on October 8th for using articles from 19 publications for AI training, demanding more than $250 million. This sum is a claim, not a judgment. However, it demonstrates that the origin of training data is becoming a matter of procurement and liability.

Manus demonstrates the extent to which geopolitics influences deals. The AI agent startup raised over $500 million after Beijing reversed its more than $2 billion acquisition of Meta. Such risks are now a standard part of due diligence for acquisitions and technology partnerships. ARGUS Technology Due Diligence assesses technology, dependencies, and regulatory pitfalls before contracts are signed.


The majority wants control.

Public sentiment reflects this trend. According to a representative AP-NORC survey, 64 percent of Americans believe AI development is progressing too quickly. Around eight out of ten want AI to remain under human control. However, this control doesn't begin in Washington, but rather in every company that understands its own value.


📌 Key messages

  • For the first time, AI data centers were specifically targeted and taken out of service: The cloud is physical and vulnerable.

  • Disruptions are a threat even without war, due to export controls, supplier decisions, or cyberattacks. Resilience is essential.

  • GPT-6 turns answers into tools. Companies need expertise to evaluate these results.

  • Mistral Large 4 opens up a European option for operation on own infrastructure.

  • Data rights and geopolitics are becoming an integral part of every AI decision.


Sources


Conclusion

This week has shown that AI is no longer just software. It's infrastructure, with all its strengths and weaknesses. Those who know today which processes depend on which model, who are preparing alternatives, and who understand their data rights will remain capable of acting, no matter what happens tomorrow.


👉 How dependent is your company on AI? Start with the AI Readiness Check at readiness.oakai.de or write to us directly: info@oakai.de . All services: oakai.de/leistungen . All archived issues: oakai.de/presse


CLARITY INSTEAD OF HYPE. Because it's your decision.

Ralph Schwehr, OAKAI



 
 

OAKAI®

E-Mail: info@oakai.de

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