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ETHICS
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How AI Models Conform to Leading Questions in Responses
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I don't think you're being misleading at all. What I find interesting though, is how much the model seems to want to find answers that fit with leading parts of the question. If you'd asked "what role microsoft didn't play", presumably it would've run with that.
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ChatGPT and GDPR: AI Chatbots Impact on Data Privacy
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ChatGPT vs #GDPR – what #AI #Chatbots mean for #Data #Privacy
by Camilla Winlo @InformationAge Read more: https://
buff.ly/3HWTHZ3 #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @terenceleungsf @ronald_vanloon @yvesmulkers -
ChatGPT Limitations: Understanding AI Language Model Challenges
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#ChatGPT is a highly advanced #AI language model — but it has a number of #limitations. Read on to find out more about ChatGPT’s limits, and how you should take these #challenges into #consideration when you’re using this groundbreaking tool.
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Neural Network Search Emissions Metric Accuracy Questioned
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Fwiw, "lifetime emissions of five cars" metric is wrong & based on inaccurate data & confusion about the one-time vs. every problem misunderstanding of neural architecture search (NAS), proxy tasks, &HW used. It's really a factor of 19X, 88X, 3261X, or 118,000X less than that.
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Rising Impressiveness: Will Human Work Productivity Expectations Increase?
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This impressiveness is just the beginning
— Terence Leung (@TerenceLeungSF) 13 mars 2023
Will expectation of human work productivity be even higher?
MT @alvinfoo@Nicochan33 @HaroldSinnott @MikeQuindazzi @TamaraMcCleary @KirkDBorne @JimHarris @Ronald_vanLoon @rwang0 @ChuckDBrooks @mvollmer1 @YuHelenYu @mariopawlowski @ursbolt pic.twitter.com/pH9XAKUNN6This impressiveness is just the beginning
Will expectation of human work productivity be even higher?
MT @alvinfoo @Nicochan33 @HaroldSinnott @MikeQuindazzi @TamaraMcCleary @KirkDBorne @JimHarris @Ronald_vanLoon @rwang0 @ChuckDBrooks @mvollmer1 @YuHelenYu @mariopawlowski @ursbolt -
AI for Human Empowerment: Why Are Humans Being Cut Out
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#AI Is For Human Empowerment: So Why Are We Cutting Humans Out?
by @RikChomko @Forbes Read more: https://
buff.ly/3TLHDz5 #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @bigdata @ravikikan @aghiathchbib -
Better regulation approach to artificial intelligence
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very fair, i amend my statement to “better regulation”
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Dropout Layers Leak Training Phase Information in Transformers
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Dropout layers in a Transformer leak the phase bit (train/eval) – small example. So an LLM may be able to determine if it is being trained and if backward pass follows. Clear intuitively but good to see, and interesting to think through repercussions of