AI failed publicly for 60 years, then worked almost overnight. Here is how three curves crossing turned a lab toy into a tool 100 million people grabbed in two months.
From AlexNet’s 2012 shock, to AlphaGo’s move 37, to GPT-3’s 175 billion parameters, to the November 2022 ChatGPT moment, this is the real story of why AI suddenly worked, told with the compute, data, and architecture curves that actually did it.
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📺 Full playlist: How AI Works
Chapters:
0:00 Why It Finally Worked
1:57 The Gaming Chip That Broke the Dam
4:46 Which Curve Mattered Most?
7:35 Three Curves, One Crossing
10:03 The Bet That 100x Paid Off
12:51 The Move No Human Would Play
15:32 10 Years, and the Gold Rush Now
Sources & references (researched and current as of July 2026):
https://en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol
https://en.wikipedia.org/wiki/AlexNet
https://deepmind.google/research/alphago/
https://arxiv.org/abs/1706.03762
https://en.wikipedia.org/wiki/GPT-3
https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/
https://valueaddvc.com/blog/best-ai-models-in-2026-ranked-gpt-5-claude-4-gemini-25-grok-3-compared
#explained #learn #2026
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Disclosure
The avatars and voices in this video are AI-generated. All content — research, scripts, lesson design, and the custom video engine — is created by a CISSP, CISM, and PMP certified professional with a Master’s in Project Management, a B.S. in Information Technology, and a Doctorate in Business Administration in progress.
This channel exists to make learning accessible and straightforward.
This channel provides general educational information about artificial intelligence technology. It is not affiliated with any AI company, research lab, or government agency. The AI field changes rapidly – verify current model capabilities, pricing, and regulations with primary sources before making decisions.
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