The current advancements in AI suggest that we are not near a limit; the rate of change and new models indicates ongoing improvement.

AI models are increasingly showing multimodal capabilities, suggesting they might develop more complex experiences in the future.

The success of multimodal models has narrowed the diversity of ideas in AI, leading to concerns about reaching the limits of usable human data.

We're currently experiencing a Cambrian explosion in AI, with advancements in processing text, pixels, videos, and audio, leading to new applications and models.

We've reached a singularity in AI development, where the pace of change is faster than our ability to process it. This rapid evolution means predicting future developments is increasingly difficult.

Multimodality in AI allows for the integration of audio, video, images, text, and code, enhancing the utility of AI systems.

We're in an interesting time where the capabilities of AI models are far ahead of the products people have built. There's a huge opportunity for new innovations, especially as the cost of AI continues to decrease dramatically.

The debate within AI research teams about model capabilities is ongoing, with teams actively investigating and auditing models to understand their behaviors and potential misalignments.

The future will likely see more choices of AI models rather than a single dominant model.