🤖AI Newsletter
19. September 2026 · 04:45 Uhr
1Security researchers hack OpenAI with Anthropic's Claude and gain access to internal structures
THE DECODER The incident demonstrates significant security vulnerabilities at OpenAI and simultaneously the superior capabilities of Anthropic's Claude Opus 5 – a competitive advantage in the AI security market. The low costs and short execution time underscore the scalability of AI-based attack scenarios and substantially increase regulatory pressure on both companies.
2Internal documents reveal what OpenAI and Microsoft really thought about their data theft
THE DECODER Leaked internal documents reveal that OpenAI and Microsoft contradict their own fair use defenses regarding training data – executives privately spoke of "labor theft" and "substitutional" products. This undermines their previous legal strategy in ongoing lawsuits and could lead to substantial damages and stricter regulation.
3Visible thought chains are a security advantage for AI, yet transparency is fading
THE DECODER AI models are increasingly losing transparency in their thinking processes ("Chain of Thought"), which Google DeepMind classifies as a security risk, since traceable decision-making paths are essential for trust and control. This development could tighten regulatory requirements and intensify competition for interpretable AI systems, especially in the enterprise segment.
4Anthropic wants to support Dario Amoei's call for an AI speed limit with new metrics
THE DECODER Anthropic publishes AI autonomy metrics to strengthen CEO Amodei's position for an AI development speed limit – Claude is said to already lead 26% of development work. The metrics are methodologically questionable (self-assessment, vague definition), but serve as a regulatory argument and marketing tool to control innovation pace.
5New legal search index: OpenAI targets the legal market with Astra for Law
THE DECODER OpenAI is opening up a specialized enterprise market with Astra for Law by optimizing its GPT-6 model for legal applications. This enables the AI company to generate high-value B2B revenue in the legal industry and position itself against specialized legal-tech competitors.
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