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Sam Altman's Insights on AI Advancements and Safety | Pika 1.0 News
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/
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[News, Research and Tutorials on AI]
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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)
1 HOUR AGO : Sam ALTMAN Announces NEW CHANGES To OpenAI
1 HOUR AGO : Sam ALTMAN Announces NEW CHANGES To OpenAI
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What if Q* broke cybersecurity? How would we adapt? Deep dive! P≠NP? Here's why it's probably fine..
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Original Q* paper: https://arxiv.org/pdf/2102.04518.pdf
Probably not related to QUALIA!
How Neural Networks Learned to Talk | ChatGPT: A 30 Year History
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?
How Tesla FSD Could ALREADY BE SUPERHUMAN in Version 12!!
With all the recent talk of OpenAI, Q*, Deep Q Networks, and agent-based reinforcement learning, I want to take another look at a piece of Tesla's 2022 AI Day presentation in which Paril Jain talks about planning. Turns out this "hiding in plain sight" talk provides more evidence of what Tesla was up to last year--and where they might have evolved FSD to potentially superhuman levels in v12 of Full Self Driving!
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