Generative AI
took flight in 2022

Projects like DALL-E 2, Imagen, Stable Diffusion and Midjourney launched to great fanfare this summer, ushering a wave of ‘generative AI,’ where computers trained on a collection of existing assets can produce entirely original content from natural language prompts.

By the fall, Runway ML and GitHub CoPilot demonstrated the possibilities of AI to expand beyond text-to-image to use cases in text-to-video and text-to-code. We are at a watershed moment in AI, where adoption is no longer a matter of if but when.

These advances are spearheaded by a mix of big tech companies, open source communities, and well-capitalized startups. We remain excited by the foundational research happening in university computer science departments, and the opportunity to translate this research to industry.

In September, we announced the MIT-Pillar AI Collective, a program launched in partnership with MIT to seed graduate students and postdocs launching AI companies with non-dilutive funding and advisory support. In November, we connected with researchers at the cutting edge at NeurIPS, the premiere machine learning and neural networks conference in North America.

We are excited to continue to explore the role AI will play in reshaping the future of our work and life.