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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If the groups working on LLMs would focus, first, on the human languages, then the “global open translation ids” which emerge will be fairly stable entities that all AI groups and Internet groups can use as standard tokens. Rather than making up arbitrary string fragments as tokens, for convenience; if everyone uses tokens (unique
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“frustrate” With no permanent memory to learn and correct itself over time, it is frustrating to see it making the same mistakes again and again. Or to see it using words drawn from advertising and self-promotion. Now CoPilot and Grok all sound the same. There is a way to make all the AIs move toward
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Jesús Pérez @JesusEPO Analyzing neuronal activity like this can be challenging. If you’re working with similar data, Xsembles2P can make your ensemble analysis simple. #Neuroscience #EnsembleAnalysis #Xsembles2P https://pic.twitter.com/vNcGj0CZAN Replying to @JesusEPO Share the data in truly open formats and I will be happy to work with it. The problem with “neuronal activity” data on the
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