New Year

Next year, I’m excited to see AI break out of 1:1 relationships with each of us. In 2026, AI has the potential to bring people together and unite us with human connection, rather than polarize and isolate us. It’s about time for ChatGPT to enter your group chats.

Over the past few years, we have seen rapid progress in models that jointly reason over text, images, sequences, graphs, and time series. Yet in biomedical settings, these capabilities often remain fragmented, brittle, or difficult to interpret.

AI research in 2026 should confront a simple but transformative realization: Models that predict are not the same as systems that act. The latter is what we actually need.

A little more than three years ago, OpenAI released ChatGPT, and education changed forever. For students, the ability to generate fluent, credible text on demand in seconds is an incredible new tool.

In 2026, I hope AI will transition from being a tool for efficiency to a catalyst for scientific discovery.

My hope is that open AI continues to flourish and ultimately wins.

Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications.

The Batch AI News and Insights: Despite having worked on AI since I was a teenager, I’m now more excited than ever about what we can do with it, especially in building AI applications.

As we approach 2025, my greatest hope for AI is that it will enable prosocial platforms that promote empathy, understanding, and collaboration rather than division.

In 2025, AI will have learned to see, it will be way smarter and more accurate, and it will start to do things on your behalf.

Building a foundation model takes tremendous amounts of data. In the coming year, I hope we’ll enable models to learn more from less data.

In 2025, I expect progress in training foundation models to slow down as we hit scaling limits and inference costs continue to rise.

Last year, we saw an explosion of models that generate either video or audio outputs in high quality. In the coming year, I look forward to models that produce video clips complete with audio soundtracks including speech, music, and sound effects.

Stability AI’s aim is to liberate artists of all trades from the repetitive, mechanical aspects of their work and help them spend the majority of their time on the creative side. So our highest hope for next year is that generative AI will help people to be more creative and productive.

The Batch AI News and Insights: AI is progressing faster than ever. This is thrilling, yet rapid change can be disorienting. In such times, it’s useful to follow Jeff Bezos’ advice to think about not only what is changing but also what will stay the same.