Zhigang Suo @zhigangsuo Thank you @RichardKCollin2. This textbook results from class notes of a lecture course. How to integrate artificial intelligence and human intelligence is an important question. This question is not addressed in our book. Replying to @zhigangsuo and @RuiHuangUTAus Even if it took you a year or two to make an AI version,
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My first impression is that you are much too ambitious to try to cover mechanics and thermodynamics and polymers. You are not deep enough on any one of these many topics to be useful. It is interesting that you put the text on Google docs and ask for some form of collaboration, but Google is
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Amber, I mostly write to strangers the last couple of decades, for the Internet Foundation. And for DNA genealogy which I still do. So there is not as much of a personal relationship. My record now is 5.5 years to get a reply, so when I write to any person or group, for any reason,
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John Hewitt @johnhewtt Ruth-Ann’s great work building a Jamaican Patois Natural Language Inference dataset was picked up by Vox as part of its video “Why AI doesn’t speak every language.” Happy to see Ruth-Ann’s work (and disparities in NLP across languages) get this general audience coverage. x.com/ruthstrong_/st… Ruth-Ann Armstrong @ruthstrong_ Check out this Vox video
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Working on: 1. Reorganizing all projects posted on Github 2. Reorganizing all WikiMedia projects 3. Replacing all browsers and operating systems 4. All human languages, all human sounds 5. All computer languages, all Internet content 6. All mathematical languages 7. Optimizing data from all microphones, cameras, sensors 8. The global software network 9. The global
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Amazon Web Services @awscloud Amazon Bedrock fuels ARIA’s capabilities. This #generativeAI virtual assistant from @BrainBoxAi reduces energy use by up to 25% & cuts carbon emissions by 40%. Learn more: https://go.aws/3UcFixR #AWS #EarthDay Replying to @awscloud and @BrainBoxAi A creative human used that tool, focused the discussion, kept the “AI” on track and helped
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Be careful to distinguish “true intelligent algorithms” that can be verified, from the many current hand written and human maintained “LLM shell” programs of groups wrapping LLM generated sentences. These are NOT true AIs by any means, and probably should not be called “AIs” at all. They are statistical sentence generators, and are severely limited
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@AIatMeta I talked to AI at Meta today. I spent thousands of hours interviewing these “LLM wrapper programs” and all of them behave almost identically. I was interviewing them to see if they would be capable of helping with any of thousands of global and systemic issues I have identified in the last 26 years
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SpaceX Starship Lunar Mission GIANT UPDATE at https://www.youtube.com/watch?v=dZ_YQVBXjCA Your are just starting out and maybe you are getting in a rut. I strongly encourage you to drop long talking head sequences and help humans around the world to see things. You do not have to entertain, or wow, or get hearts pumping. It is not
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Scott, I am looking at Nemar, Auditory naming task with questions that begin or end with a wh-interrogative at https://nemar.org/dataexplorer/detail?dataset_id=ds005007 The tab title is always “Nemar – Data Search: Detail a Dataset” The download name is “Nemar – Data Search- Detail a Dataset” the bookmark name is “Nemar – Data Search: Detail a Dataset” If
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