It needs to learn in a new way beyond statistics. LLMs rely on stats. So the path that they are going down isn't one that is likely to bear fruit.
AI
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Teaching Bears Statistics: AI Training Data and Misinformation Risks
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But who is teaching the bear? Right now, it is statistics…. and well, lies, damn lies, and ….
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AI Technology Accuracy Issues: Confident Wrong Answers
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The tech will be interesting. But we need to make sure the tech is generating correct results. It's getting basics wrong, tho answering confidently: See https://
bit.ly/3K6MxEe + the image, 2 of 3 of the co's listed for my leadership roles & both of the orgs are wrong. 3/4 -
Use Technology Wisely: Learn and Question Answers
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So, my recommendation, use the technology and think about how it can help you. Learn about it, while making sure you are questioning the answers. Feel free to send me your qs. I'll be adding more in the coming days. 4/4
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ChatGPT Bard hype cycle: Reality vs tech giant narratives
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Answers to qs I'm asked abt ChatGPT & Bard: The Q: Is this going to change the world the way people are saying it is? My A: No. This is a hype cycle of a new, fun, consumer consumable tech. It's being fueled by 2 tech giants who want to keep it in the news. A challenge… 1/4
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Search AI Integration Criticized: TikTok Dance Interpretive Alternative Proposed
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…for search incorporation is that reading longer prose isn't the direction consumers have gone. Google and MS would be better off creating a tictok interpretive dance of search results, than using this tech. 2/4
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Generative AI: A Foreshock to AI Singularity
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#GenerativeAI may only be a foreshock to #AIsingularity https://
venturebeat.com/ai/generative-
ai-may-only-be-a-foreshock-to-ai-singularity/
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Single Layer Neural Network Training Spiral Data Visualization
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Es decir, la red que nos ha creado, como sólo tiene una capa, se ajusta pobremente a los datos y quizás no se vé tan espectacular. Pero la tarea que le hemos pedido está perfectamente hecha. Datos en espiral. Una red neuronal. Visualización. MP4 animado del training.
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AI Neural Network Classifies Spiral Dataset with Decision Boundaries
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Y aquí lo tenéis! El resultado del código creado en el directo, donde le hemos pedido a la IA que programe una red neuronal que clasifique un dataset de datos en forma de espiral, mostrando las fronteras de decisión en azul y rojo.
— Carlos Santana (@DotCSV) 12 février 2023
La red y la clasificación es simple, pero wow!! pic.twitter.com/36GxgxbN7CY aquí lo tenéis! El resultado del código creado en el directo, donde le hemos pedido a la IA que programe una red neuronal que clasifique un dataset de datos en forma de espiral, mostrando las fronteras de decisión en azul y rojo. La red y la clasificación es simple, pero wow!!
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Can Microsoft’s AI-Powered Bing Surpass Google Search?
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Can Microsoft's #AI-Powered Bing Surpass Google Search? https://
cnet.co/3YHSo77 via @CNET