Transcript of this excerpt from today’s Google I/O
It builds on progress made by two world-class teams, the brain team, and DeepMind. Looking back at the defining AI breakthroughs over the last decade, these teams have contributed to a significant number of them. A AlphaGo Transformers sequenced to sequence models and so on. All this helps set the stage for the inflection point we are at today.
We recently brought these two teams together into a single unit, Google DeepMind. Using the computational resources of Google, they are 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 are 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 Two. As we invest in more advanced models, we are also deeply investing in AI responsibility.
This includes having the tools. To identify synthetically generated content whenever you encounter it. Two important approaches are watermarking and metadata. Watermarking embeds information directly into content in ways that are maintained even through modest image editing. Moving forward, we are building our models to include watermarking and other techniques from the store.
If you look at the synthetic image, it's impressive how real it looks. So you can imagine how important this is going to be in the future. Metadata allows content creators to associate additional context with original files, giving you more information. Whenever you encounter an image, we'll ensure every one of our AI generated images has that metadata.
Google Pulls Its AI Teams Under ONE Roof: Deepmind