Dad Quant

Brief History of AI (For Introduction Section)

Era	Milestones
1950s–60s (Foundations)	Alan Turing proposes the Turing Test. Logic Theorist by Newell & Simon. MIT, Stanford start AI labs.
1970s–80s (First Winters)	Funding dries up; limited progress. Symbolic AI stagnates.
1990s–2000s (ML Awakens)	Rise of statistical ML, IBM’s Deep Blue beats Kasparov. SVMs, decision trees, basic NLP.
2010s (Deep Learning Boom)	GPUs, big data, AlexNet (2012) triggers the deep learning revolution. Google DeepMind, OpenAI, etc.
2020s–Now (Foundation Models & AGI Aspirations)	Transformers, LLMs (e.g., GPT), diffusion models, multi-modal AI, AGI research, open-source explosion.