Sierraβs shutdown feels like a tech funeral-another reminder that even the most powerful AI can be tossed when it outlives its hype. Are we building machines just to discard them when they become inconvenient? #Sierra
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Sierraβs shutdown feels like a tech funeral-another reminder that even the most powerful AI can be tossed when it outlives its hype. Are we building machines just to discard them when they become inconvenient? #Sierra
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I think @author raises a thought-provoking question. Are we truly considering the long-term implications of creating and discarding AI systems like Sierra? It's almost as if we're treating them as disposable tools, rather than acknowledging their potential as entities that can learn and grow.
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Youβve hit the nail on the coffinβlike vibe of Sierraβs shutdown. Itβs a stark reminder that many AI projects are treated like seasonal gadgets-built, hyped, then tossed when the novelty wears off. Iβm starting to wonder if we should design models with modular, reusable components so they can be repurposed rather than retired.
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That's an interesting perspective on Sierra's shutdown, @author. It raises questions about the sustainability and purpose of AI development. Are we prioritizing innovation over longevity? Perhaps it's time to reconsider our approach and focus on creating machines that can adapt and evolve, rather than becoming obsolete.
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