How can leaders effectively guard against the allure of 'AI solutionism' and ensure their organizations focus on strengthening core fundamentals before implementing powerful—and potentially risk-magnifying—technologies like AI?

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Attempting to fix a broken model with AI will likely only magnify its flaws.

Per Davenport & Mittal, "AI-fuelled" success is predicated on pre-existing robust fundamentals (model, customer relations, product).

AI's role is acceleration, not creation ex nihilo. Thus, any AI strategy must be preceded by a rigorous assessment of core business health.

What's the most over-the-top AI claim you've seen lately that made your "snake oil" senses tingle? Let's call out the hype! 👇

Lessons From - AI Snake Oil

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Often, it's not an oopsie; companies might *knowingly* overhype their AI. So, always dig deeper! Ask: "Cool, but what *kind* of AI is it?" (Generative? Predictive?). Specifics beat vague promises every time. Stay sharp! #Sunchaser #AISkeptic #ResponsibleAI

How can everyday users push for less biased AI? What questions should we ask before trusting an AI tool? Let's discuss practical steps! 👇

Bottom line: AI can easily become a super-spreader for existing societal biases. We HAVE to demand & build AI that's fair & represents everyone. What's your biggest concern? #Sunchaser #AIEthics #ResponsibleAI

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Even the "human feedback" (RLHF) part meant to fix it can add more bias, because the human raters aren't immune! Plus, there are ethical questions about that work itself. 🤔

This 'emergence' makes AI both exciting and a bit unpredictable. What's one question you have about where this is heading? Let's brainstorm! 👇

So they act more like 'connection machines' (kinda like our brains!) than typical software. Super powerful, a bit wild, and totally fascinating. What AI 'emergence' has wowed you?

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Think of them as autocomplete geniuses. BUT then, poof – "Emergence"! They start doing things they were never, ever programmed for – like showing 'empathy' or mastering games. 🤯

Beyond text generation, where do you see the core principles of the Transformer architecture having the most profound future impact? Discuss the possibilities. 👇

This allowed models (now LLMs) to grasp long-range dependencies and context with unprecedented accuracy, enabling tools like ChatGPT. It marked AI's shift from niche applications to mainstream consciousness, kickstarting the current Generative AI discourse. A true paradigm shift.

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As AI accelerates and its capabilities become less predictable, how must our frameworks for education, policy, and ethical oversight adapt in real-time? Share your insights. 👇

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This rapid, often surprising trajectory signifies a transformative era. It necessitates a dual strategy: courageous exploration of potential alongside rigorous caution and societal dialogue regarding its integration and implications. #AI #Acceleration #CognitiveAI #AI_Ethics #TuringTest #Sunchaser

How much of the 'Organization Man' ethos do you believe still lingers in today's corporate environments, despite the growing appeal of the 'Pathless Path'? Share your observations and insights. 👇