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Applied AI·September 29, 2026·1 min read

With Dots, OpenAI Wants You to Stop Being Afraid of Its AI Agents

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Putting a cute face on proactive agents is a distribution and trust move—normalizing always-on AI that acts for you, not just with you. If your product touches end users, you’re now competing with an agent layer that can own the relationship and route demand before they ever open your app.

Applied AI

A US appeals court upholds a ruling for Thomson Reuters in its copyright lawsuit against Ross Intelligence, rejecting Ross' fair use defense for AI training

The Ross loss narrows the room for “fair use” training defenses — especially when outputs are close to proprietary products — and pushes model builders toward licenses or synthetic/clean-room data. If your product depends on scraping or repurposing commercial corpora, you now have to price in legal risk and renegotiate your data strategy, not just your infra bill.

Applied AI

Anthropic says GLM-5.3 can autonomously build end-to-end cyber exploits, like Claude Mythos Preview, but was released without robust safeguards against misuse

A frontier model that can autonomously build end-to-end cyber exploits — and shipped without strong misuse controls — moves offensive capability from elite teams to anyone with API access. Treat advanced LLMs in your environment as dual-use cyber tools and update your security model to assume both insider misuse and external weaponization, not just prompt leaks.