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AI Newsletter

September 15, 2026 · 04:45 Uhr

1

OpenAI has hundreds of contractors read and rate real ChatGPT conversations

THE DECODER

OpenAI uses hundreds of contractors for quality control of ChatGPT conversations to improve safety and authenticity – an expensive but necessary process for product optimization. This demonstrates both the technical limitations of AI self-improvement and data privacy risks when using real user conversations.

2

Between illegible thoughts and artificial inner life: Microsoft redefines AI back to tool

THE DECODER

Microsoft deliberately positions AI as a controllable tool rather than an autonomous system, setting itself apart from competitors like Anthropic – a strategic bet on regulatory compliance and enterprise trust. This stance could strengthen Microsoft's market position with risk-conscious enterprise customers, but could also put pressure on innovation pace and investor perception if other providers bring autonomous systems to market faster.

3

Anthropic aims for Nasdaq: Second profitable quarter should convince investors before mega-IPO

THE DECODER

Anthropic signals two consecutive profitable quarters (on adjusted basis) to position itself as investment-worthy for a planned Nasdaq IPO. This demonstrates operational profitability in the competitive AI market and could establish the company as a serious competitor to OpenAI. A successful IPO would secure Anthropic substantial capital for scaling and R&D.

4

"Scaremongering and confrontation": China counters calls from US AI chiefs to slow down

THE DECODER

China rejects US appeals for AI slowdown and interprets them as strategic delaying tactics in global AI competition. The conflict escalates into a geopolitical arms race where both superpowers invest unreservedly in AI development instead of establishing coordinated safety standards.

CRITICALRead article
5

OpenAI CEO Altman wants to slow AI development, but not stop it

THE DECODER

Sam Altman positions OpenAI as a responsible actor through voluntary safety measures before major AI training runs and signals industry consensus on self-regulation with competitors like Anthropic and Google. This could preemptively prevent stricter government regulation and establish OpenAI as market leader with governance competence.

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