Landmarks

AI history for studio use.

This timeline gives enough history to situate the tools without turning the boot camp into an architecture lecture.

Timeline

1950

Turing

Computing Machinery and Intelligence frames machine intelligence as a question of behavior and interpretation. Source.

1957

Rosenblatt Perceptron

An early neural network becomes a landmark in machine-learning history. Source.

2012

AlexNet wins ImageNet

Deep learning changes computer vision practice at public scale. Source.

2014

Generative Adversarial Networks

Goodfellow et al. introduce GANs, a major neural generation approach. Source.

2015

Diffusion foundations

Sohl-Dickstein et al. establish key diffusion-model foundations later used in image generation. Source.

2017

Attention Is All You Need

The transformer architecture becomes the foundation for much later generative AI. Source.

2020

GPT-3 scaling

Large-scale autoregressive language modeling becomes a public AI milestone. Source.

2022

Image generation public moment

DALL-E 2, Stable Diffusion, and Midjourney bring generated imagery into mainstream culture. Source.

2022

Colorado State Fair controversy

Jason Allen wins a fine-art prize with AI-generated work, triggering authorship debate. Source.

2023

Provenance lawsuits

NYT v. OpenAI and Getty v. Stability AI move training-data questions into court. Source.

2024

Generative video

Sora and Runway-era systems make generated video a general media issue. Source.

2025-26

Multimodal and agentic systems

Students increasingly encounter AI systems that combine media, tools, and workflow actions. Source.