AI 뉴스 Sep 29, 2026

오늘의 포인트

• OpenAI pricing and fundingOpenAI's GPT-6.1 Sol launch at one-fifth Astra's price coincides with its reported $30B raise at a $1.4T valuation, signaling aggressive scaling of cheaper frontier models just as the company pauses another model's training over misalignment.
• AI privacy failuresMeta's Muse reportedly ignoring Apple Messages permissions and the permalink exposure of Grok conversations both highlight that agentic AI's data-handling defaults may outpace existing privacy controls, a pattern regulators and enterprise buyers are likely to scrutinize.
• AI risk diffusionAnthropic's GLM-5.3 report on proliferating cyber capabilities, alongside researchers' 'coin flip' extinction estimate, frames superintelligence risk as a diffusion problem—not just a single-lab issue—as capabilities spread across models and lower malicious-actor barriers.
• AI platform competitionChatGPT's office suite and app-store-like platform push, plus AMD's $8.2B World Labs acquisition, show AI competition shifting from raw model quality to distribution and tooling, directly challenging Microsoft's software moat and Nvidia's hardware lead.
• AI in sensitive domainsDraftKings' AI targeting of chronic gamblers and the White House's America.gov chatbot both apply LLMs to high-stakes behavioral domains, where hallucination and manipulation risks—flagged in the chat data-leak report—could produce real-world harm without robust oversight.

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