PhyseaWiki How AI actually works Papers physea.ai →

Milestones timeline

How did we get to today's chatbots?

From 2020 onward, scaling the transformer produced GPT-3, then ChatGPT brought it to the public, GPT-4 added images, and frontier models turned toward coding and agents.

Last updated 2026-06-15 · Physea Labs

Once the transformer existed, the recipe for a few years was largely to make the models bigger and train them on more text. That scaling is what produced the chatbots most people now use.

  • 2020 — GPT-3. OpenAI described GPT-3 in a preprint dated 28 May 2020 and opened API access the following month. With 175 billion parameters, it showed that a single large model could handle many language tasks from a prompt alone, without task-specific retraining.[1]

  • 2022 — ChatGPT. OpenAI released ChatGPT on 30 November 2022. Wrapping a capable model in a simple chat interface brought the technology to a general audience and set off the current wave of interest.[2]

  • 2023 — GPT-4. OpenAI released GPT-4 on 14 March 2023. Unlike its predecessors it was multimodal, accepting images as well as text as input.[3]

  • 2025 — Coding and agent models. Frontier releases shifted toward software development and tool use. Anthropic announced Claude Opus 4.5 on 24 November 2025, positioning it for coding, agents, and computer use.[4]

Version numbers in this list will keep changing. What is steadier is the direction: bigger trained models, then a usable interface, then models aimed at acting through tools rather than just answering.

References

  1. GPT-3 — Wikipedia
  2. ChatGPT — Wikipedia
  3. GPT-4 — Wikipedia
  4. Introducing Claude Opus 4.5 — Anthropic