#AI Ethics Disquieted By AI Getting Dragged Into Quiet Quitting Mania
by @LanceEliot @Forbes Go to: https://
buff.ly/3LAxd1x #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #MI cc: @bigdata @ravikikan @aghiathchbib
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AI Ethics Concerns Over Quiet Quitting Trend
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NFTs as Revenue Stream for Content Creators
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Il se place globalement du côté créateur de contenus en fait. Les #NFT seront une diversification de revenu.
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Apple strengthens healthcare strategy with AI innovation
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Exactement ! #Apple continue avec succès sa stratégie dans la #sante
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EU Addresses Real Risks of AI and Algorithmic Harm
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‘Risks posed by #AI are real’: EU moves to beat the #Algorithms that ruin lives
by @kalyeena @guardian Learn more: https://
buff.ly/3A4zJZH #ArtificialIntelligence #MI #Digital #DataScience cc: @ronald_vanloon @pbalakrishnarao @karpathy -
Training to Convergence and Inference Time Optimality Trade-offs
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The original question was about optimality, so if you train until convergence you have better performance per inference time — thus it's more optimal?
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Daily ML and Data Science Content Topics Available
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Are you interested in any of these topics? Python Data Science Machine Learning Data Analysis MLOps NLP Computer Vision FREE Resources Open Source ML Tools I'm sharing daily content over here, follow me if you haven't already
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Overtraining of 13B Model vs Suboptimal 65B Production Deployment
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So to answer the original question, they overtrained the 13B model but not the 65B model — likely because they decided on the budget beforehand. Thus, it's suboptimal to run the 65B in production.
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Digital Afterlife: Superintelligence Preservation of Human Consciousness
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Our value to them could be tiny and they'd at least save our brain-states and run it on a basketball-sized computer for a few hundred thousand subjective years. I expect value zero. These will not be our children; if I expected them to be that, I'd feel differently.
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Healthcare AI Research Shows Significant Impact Potential by 2050
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Excellent trajectory here especially with the eye-watering context of 135 Million potentially impacted by 2050. Thanks for sharing this new research dear @Shi4Tech #healthcare #healthTech