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The AI Revolution

A Brief History of Modern AI

While AI research dates back to the 1950s, the modern era began around 2012 with deep learning breakthroughs. The real acceleration started in 2017 with the Transformer architecture, leading to today's language model revolution.

Key Milestones

2012
AlexNet wins ImageNet
2014
GANs introduced
2017
Transformer architecture
2018
BERT revolutionizes NLP
2020
GPT-3 launch
2022
ChatGPT goes viral
2023
GPT-4 & multimodal AI
2024
AI agents emerge
Exponential Growth

The AI Explosion

The past decade has seen unprecedented growth in AI development, investment, and adoption.

AI Industry Growth (2015-2024)

  • AI Companies
  • AI Models
  • Investment Index
201620182020202220240200400600800

Model Size Evolution (Billions of Parameters)

GPT-2 (2019)GPT-3 (2020)PaLM (2022)GPT-4 (2023)Gemini Ultra (2024)Claude 3 (2024)0.1110100100010000

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25+
AI Companies
250+
AI Models
500+
Milestones
10+ Years
Data Coverage
The Future

What's Next for AI?

We're witnessing the emergence of AGI capabilities, multimodal understanding, and AI agents that can perform complex, multi-step tasks autonomously.

Near Term (2024-2025)

  • AI agents handling complex workflows autonomously
  • Real-time multimodal AI (video, audio, text simultaneously)
  • Context windows exceeding 10 million tokens
  • AI-powered scientific discoveries accelerating

Long Term (2025+)

  • AGI-level reasoning and problem-solving
  • AI systems designing and improving themselves
  • Quantum-AI hybrid computing breakthroughs
  • Unified models handling any task or modality

"We are at the beginning of the most profound transformation in human history."

— The consensus among AI researchers worldwide

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