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AI, Synthetic Intelligence -

Using the "Self Operating Computer" projects, I let ChatGPT take complete control of my computer, and you can too! (although I wouldn't recommend it) Enjoy :) Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Follow me on TikTok 👋 - https://www.tiktok.com/@matthewberman60 Subscribe to my Substack 🗞️ - [https://matthewberman.substack.com](https://matthewberman.substack.com/) Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Need AI Consulting? ✅ - [https://forwardfuture.ai](https://forwardfuture.ai/) VM with My Favorite AI Apps Pre-installed 🚀 - https://bit.ly/matthew-berman-youtube Links: GitHub: https://github.com/OthersideAI/self-operating-computer.git

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AI, Synthetic Intelligence -

Sam Altman speaks on coming back, Q-Star and Ilya. https://www.theverge.com/2023/11/29/23982046/sam-altman-interview-openai-ceo-rehired Self Operating Computer https://github.com/OthersideAI/self-operating-computer TaskWeaver: A Code-First Agent Framework by Microsoft https://arxiv.org/pdf/2311.17541.pdf Help with Anaconda and Installing: https://natural20.com/learn-ai/what-is-anaconda-for-python/ Get on my daily AI newsletter 🔥 https://natural20.beehiiv.com/subscribe [News, Research and Tutorials on AI] See more at: https://natural20.com/ My AI Playlist: https://www.youtube.com/playlist?list=PLb1th0f6y4XROkUAwkYhcHb7OY9yoGGZH 00:00 Sam Altman on Q* 03:18 Self Operating Computer Intro 06:06 Pika 1.0 + Insane AI video 08:12 TaskWeaver by Microsoft 09:12 Self Operating Computer GitHub 11:08 Installing Self Operating Computer 13:33 Testing Self Operating Computer (Locally) 17:09 Testing Self Operating Computer (Chrome Plugin)

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AI, Synthetic Intelligence -

1 HOUR AGO : Sam ALTMAN Announces NEW CHANGES To OpenAI Welcome to our channel where we bring you the latest breakthroughs in AI. From deep learning to robotics, we cover it all. Our videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on our latest videos. Was there anything we missed? (For Business Enquiries) contact@theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience #IntelligentSystems #Automation #TechInnovation

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AI, Synthetic Intelligence -

Patreon: https://www.patreon.com/daveshap (Discord via Patreon) Substack: https://daveshap.substack.com/ (Free Mailing List) LinkedIn: https://www.linkedin.com/in/dave-shap-automator/ GitHub: https://github.com/daveshap Original Q* paper: https://arxiv.org/pdf/2102.04518.pdf Probably not related to QUALIA!

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AI, Synthetic Intelligence -

This video explores the journey of language models, from their modest beginnings through the development of OpenAI's GPT models & hints at Q*. Our journey takes us through the key moments in neural network research involved in next word prediction. We delve into the early experiments with tiny language models in the 1980s, highlighting significant contributions by researchers like Jordan, who introduced Recurrent Neural Networks, and Elman, whose work on learning word boundaries revolutionized our understanding of language processing. Featuring Noam Chomsky Douglas Hofstadter Michael I. Jordan Jeffrey Elman Geoffrey Hinton Ilya Sutskever Andrej Karpathy Yann LeCun and more. This is the last video in the series "The Pattern Machine" you can watch it all here: https://www.youtube.com/playlist?list=PLbg3ZX2pWlgKV8K6bFJr5dhM7oOClExUJ 00:00 - Introduction 00:32 - hofstader's thoughts on chatGPT 01:00 - recap of supervised learning 01:55 - first paper on sequential learning 02:55 - first use of state units (RNN) 04:33 - first observation of word boundary detection 05:30 - first observation of word clustering 07:16 - first "large" language model Hinton/Sutskever 10:10 - sentiment neuron (Ilya & Hinton) 12:30 - transformer explaination 15:50 - GPT-1 17:00 - GPT-2 17:55 - GPT-3 18:20 - In-context learning 19:40 - ChatGPT 21:10 - tool use 23:25 - philosophical question: what is thought?

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