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ODDS ON TECH OddsonTechnology @OddsonTechnology Even the Godfather of AI doesn't fully understand how AI works.

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Why it worked

The video leverages the authority of Geoffrey Hinton, a renowned figure in AI, to discuss the profound and mysterious nature of artificial intelligence. This taps into a widespread fascination and concern about AI's capabilities and its lack of full transparency.

Summary

Geoffrey Hinton, a pioneer in AI, explains that even though he helped create the learning algorithms for AI, scientists still don't fully understand how these complex neural networks arrive at their decisions. He likens the design of the learning algorithm to designing the principle of evolution, highlighting the emergent complexity that makes AI's inner workings mysterious.

Structure

1Introduction of AI's complexity
2Hinton's role in AI development
3The mystery of AI's decision-making
4Analogy to evolution
5The gap in understanding AI's internal processes

Product placement

60 Minutes: This is a TV news magazine show. It merely appears as a logo in the corner of the screen and does not act. Removing it would not change what happens in the video. OddsonTechnology: This is a Twitter account. It merely appears as a watermark and does not act. Removing it would not change what happens in the video.

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ODDS ON TECH OddsonTechnology @OddsonTechnology Even the Godfather of AI doesn't fully understand how AI works. 60 MINUTES MEAN WE DON'T KNOW EXACTLY HOW IT WORKS? IT WAS DESIGNED BY PEOPLE. NO, IT WASN'T. WHAT WE DID WAS WE DESIGNED THE LEARNING ALGORITHM. THAT'S A BIT LIKE DESIGNING THE PRINCIPLE OF EVOLUTION. BUT WHEN THIS LEARNING ALGORITHM THEN INTERACTS WITH DATA, IT PRODUCES COMPLICATED NEURAL NETWORKS THAT ARE GOOD AT DOING THINGS. BUT WE DON'T REALLY UNDERSTAND EXACTLY HOW THEY DO THOSE THINGS.

Original caption

Follow us @oddsontechnology for more tech archives and tech videos. Geoffrey Hinton helped pioneer the deep learning and neural networks that power today’s AI systems, including ChatGPT, Google Gemini, Claude, and countless other large language models. Despite decades of research, Hinton says scientists still don’t fully understand how these neural networks develop their internal representations or arrive at many of their decisions. As AI becomes more capable of writing code, solving complex problems, and generating human-like responses, Hinton has warned that understanding these “black box” systems may become one of the biggest challenges facing artificial intelligence, computer science, machine learning, and the future of technology. [ keywords: Artificial Intelligence, AI, Geoffrey Hinton, Godfather of AI, Deep Learning, Neural Networks, Machine Learning, ChatGPT, OpenAI, Google, Google DeepMind, Gemini, Anthropic, Claude, Large Language Models, LLM, Computer Science, Software Engineering, Algorithms, Data Science, Robotics, Automation, Technology, Innovation ] #AI #ArtificialIntelligence #Claude #Gemini #chatgpt