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Klarna’s AI Gambit: Bots For Chores, Humans For You.

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The Week AI Got Too Polite (and a Bit Sneaky)

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CEOs Are Upskilling in AI, But There’s a Catch

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Duolingo Built a Motivation Engine Disguised as Language Learning

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Moto’s New Razr Is an AI Menagerie, Not a Monoculture

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Duolingo Trades Some Human Polish for AI Scale

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Intel’s Panther Lake Is Where Its Chip Future Begins

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Gemini AI Is Planning Its Escape From Your Phone

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Duolingo Learns a New Trick: AI Can Do That Job

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For AI Worries, the Present Tense Matters Most

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From Tiny to Titan: Alibaba’s New AI Family Goes Open

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Finance AI: Why Boring Is the New Brilliant

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Anthropic’s Pull: Why AI’s Best Are Making the Switch

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OpenAI’s Boardroom Thriller Gets a Fast Hollywood Close-Up.

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AI Takes Jobs, So We Stop Having Kids. What Then?

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Finance AI: Why Boring Is the New Brilliant

Key TakeawaysPrioritize cleaning and organizing your data before developing AI models.Empower your existing experts with AI tools, rather than aiming to replace them.Focus on AI systems that are transparent, explainable, and operate under clear rules.Concentrate on practical AI applications that solve real internal problems, not just flashy demos.Consider specialized,...