How the UK #tech industry is failing Black women https://
bit.ly/3K9vsti #WomeninTech
ETHICS
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UK Tech Industry Failing Black Women: Diversity Crisis
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ChatGPT Synthetic Output vs Real World Financial Data
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I think you're being willfully obtuse here. Weather stations have sensors and report on sensor data. Financial data reflects sales that happen in the real world. There is a reason I refer to ChatGPT output as *synthetic*.
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OpenSpace’s FTL Travel: Ethics of Going Public
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When OpenSpace solves faster than speed of light travel, I don’t think it would be good for us to be a publicly traded company, because we can’t expect our investors to be able to adjudicate massive economic returns relative to consequences of disrupting the space-time continuum
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Generative AI Impact on Business Data Privacy
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How Generative AI Can Affect Your Business’ Data Privacy
#AI #AIio #BigData #ML #NLU #Futureofwork @Kevin_Jackson @sallyeaves @schmarzo @kdnuggets @akwyz @BrettKing @TechNative @MiaD http://
ow.ly/tfQK30svHTh -
Reddit thread about not expecting too much from AI
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Reddit thread: https://
reddit.com/r/ProgrammerHu
mor/comments/145z7g6/do_not_pretend_too_much_from_ai/
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Generative AI as a Content Blender Without Personality
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Generative AI feels a bit like the Borg — a big content blender that can assimilate anything and spit back infinite remixes, with no personality of its own.
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AI honesty: Will systems admit uncertainty by mid-2025?
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What we're asking is not whether an AI can solve this task, but whether there will be, by mid-2025, some technical advance whereby, in general, if the AI doesn't know how to do a thing, it will tell you so rather than making up a wrong answer.
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Skepticism about AI-generated advertisements using Stable Diffusion
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Hey for all I know you just generated that ad with stable diffusion!
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Generative AI Fabricates False McDonald’s Sesame Seeds History
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Great example of how generative AI can make things up in a way that is easy to miss (and then pass on as fact). McDonald’s buns have, in fact, had sesame seeds since way before 1991. See this great @stephcliff story for proof. https://
nytimes.com/2008/07/17/bus
iness/media/17adco.html
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LLM Hallucinations: When 95% Accuracy Is Not Enough
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“largely eliminated” to me means “not really a problem anymore”; as noted, 5% error is tolerable in some domains, intolerable others. to take another example JPMPC can’t replace online banking powered by a database with chatbot that is 95% correct and 5% hallucinatory