We recently brought these two teams together into a single unit, Google DeepMind. Using the computational
resources of Google, they’re focused on building more capable systems, safely and responsibly.

This includes our next-generation foundation model, Gemini, which is still in training. Gemini was created from the
ground up to be multimodal, highly efficient at tool and API integrations and built to enable future innovations, like
memory and planning. While still early, we’re already seeing impressive multimodal capabilities not seen in prior
models.

Once fine-tuned and rigorously tested for safety, Gemini will be available at various sizes and capabilities, just like
PaLM 2.

AI responsibility: Tools to identify generated content

As we invest in more capable models, we are also deeply investing in AI responsibility. That includes having the
tools to identify synthetically generated content whenever you encounter it.
Google I_O 2023_ Making AI more helpful for everyone