The History of AI: From Autocomplete to Agents (1990s–2026) | Behind the Screen Ep 1

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Издатель
How did we get from your phone guessing the next word… to AI agents that work on a task for hours? A short, animated history of AI, one stop at a time.
Chapters
0:00 Intro: the next-word guess
0:16 1990s: autocomplete
0:29 2017–2020: the Transformer & GPT-3
0:48 2021: GitHub Copilot
0:58 2022: generative AI & ChatGPT
1:14 2023: images & open models
1:36 2024: voice, reasoning, computer use, MCP
1:52 2025: the year of agents
2:06 Today (Q3 2026)
2:29 Recap
Timeline
• 1990s: code editors get autocomplete (fixed rules, can't write new code)
• 2017: the Transformer design is published
• 2019–2020: GPT-2 and GPT-3: bigger models, surprising skills
• 2021: GitHub Copilot suggests whole functions
• 2022: AI image generators (DALL·E 2, Midjourney, Stable Diffusion); ChatGPT launches in November and reaches ~100M users in about two months
• 2023: GPT-4, Claude and Gemini understand images; open models like Llama
• 2024: real-time voice, reasoning models, computer use, MCP
• 2025: coding agents and research agents
• 2026: agents working for hours, helper agents, voice calls in many languages, and people still checking and approving
Remember: AI can sound sure and still be wrong. Always check.
Product names are used for historical reference only; this video is not affiliated with or endorsed by any of these companies.
Animation drawn entirely in Python (pycairo); music and sound effects synthesized in code.
Narration and character voices are AI-generated with Microsoft Azure AI Speech (text-to-speech).
Want the deep dive on how agents actually work? Watch Ep 2: How AI Agents Use MCP.
#AI #HistoryOfAI #ChatGPT #AIAgents #GenerativeAI #TechExplained
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