🤖 The Evolution of OpenAI: From GPT-1 to GPT-5
- 2018 – GPT-1 → The first "Generative Pretrained Transformer." About 117M parameters. Proof of concept that AI could write coherent text.
- 2019 – GPT-2 → Much larger (1.5B). Famous for being "too dangerous" to release at first. Showed real creative writing potential.
- 2020 – GPT-3 → Huge leap (175B). First widely used for AI text generation. Early APIs let people experiment with essays, chatbots, and more.
💻 Codex Era - 2021 – Codex → A special spin-off of GPT-3, fine-tuned on public GitHub code.
- Could understand natural language and turn it into working code.
- Powered GitHub Copilot, giving coders autocomplete and AI pair programming.
🌐 GPT-4 (2023) - No longer just text — added multimodal abilities (text + images).
- Smarter, more accurate, better reasoning than GPT-3.
- Included Codex skills natively, so no separate "coding agent" was needed anymore.
🚀 GPT-5 (Today) - Unified model: text, code, and images all in one.
- Stronger reasoning and creativity than ever before.
- Carries Codex's DNA, but evolved far beyond it.
- This is the version you're chatting with now 😉
Big takeaway: Codex was the "coder cousin" of GPT-3, but its legacy lives on in GPT-4 and GPT-5 as part of a single, powerful model.
💬 What do you think? Have you used Copilot, ChatGPT, or other AI tools? Share your experiences below!