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Evolution of AI Explained: from Turing test to AI agents in 2025 - The real history, explained

AlgoInsight

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Evolution of AI Explained: from Turing test to AI agents in 2025 - The real history, explained

82 просмотра · 2 дн. назад
AlgoInsight
200 подписчиков
82 просмотра · 2 дн. назад
The complete history of AI: from Turing's 1950 question to today's AI agents, with every major breakthrough explained simply. This video answers a simple question: how did a 1950 thought experiment become ChatGPT and AI agents? You will see Alan Turing's imitation game, the 1956 Dartmouth workshop that named AI, rule-based expert systems like MYCIN and XCON, two AI winters, the shift to machine learning, Rosenblatt's perceptron and the XOR problem, backpropagation, Deep Blue beating Kasparov in 1997, AlexNet's 2012 ImageNet win, AlphaGo's 2016 move 37 against Lee Sedol, the 2017 Transformer paper 'Attention Is All You Need', and how GPT models and RLHF led to ChatGPT in November 2022 and today's agents. What you'll learn: Explain Turing's 1950 imitation game and why it became the Turing Test Trace how the 1956 Dartmouth workshop gave the field the name AI Compare rule-based expert systems like MYCIN and XCON with machine learning Describe why Minsky's XOR problem froze neural networks for two decades Explain how AlexNet's 15.3% error at ImageNet 2012 started deep learning Explain Transformer attention using the trophy-and-bag sentence example Describe how RLHF shaped GPT-3 into the ChatGPT that launched in 2022 Chapters: 0:00 The question 5:00 1950: Can a machine think? 9:10 1956: AI gets its name 11:11 1956 to 1970: The golden years 14:23 1958 to 1980: Neurons, and the first winter 17:55 The 1980s: Intelligence as rules 22:20 The 1990s: Learning from data 27:03 1997: Deep Blue 29:45 2006 to 2012: Deep learning 34:44 2012: Machines learn to see 38:40 Teaching machines language 42:53 2016: Move 37 45:10 2017: Attention is all you need 47:55 Large language models 51:15 November 2022: ChatGPT 54:15 2023 to 2025: The race 55:38 2025: Agents 57:09 The whole story Key concepts: Turing Test, Dartmouth workshop, expert systems, perceptron and XOR problem, backpropagation, AlexNet and ImageNet, Transformer attention, large language models, RLHF, AI agents Who this is for: Engineers and CS students who want the real history behind AI terms like transformers and LLMs before using them in interviews. Practise interviews with AI: https://algoinsight.io/interview Plan your prep, day by day: https://algoinsight.io/planner About AlgoInsight AlgoInsight is your mentor from prep to offer: animated video lessons, DSA practice with hints and AI code review, AI mock interviews for every round, and a day-by-day prep plan built around your interview date. Start free: https://algoinsight.io/?utm_source=yo... Subscribe for more animated lessons like this. #AIHistory #DeepLearning #MachineLearning #TuringTest #Transformers