Based on the provided context, there is no direct mention of specific strategies or methods for combating deepfakes. The transcripts provided focus more on the implications, the differences between digital twins and deepfakes, and the introduction of Microsoft's VASA-1 deepfake AI technology. They discuss the potential benefits and downsides of AI and deepfake technology, as well as the power of these technologies in various applications.

However, if you're looking for general strategies to combat deepfakes, common methods include:

1. Education and Awareness: Teaching people about the existence and capabilities of deepfake technology so they can be more critical of the media they consume.
2. Digital Literacy: Encouraging the development of skills needed to distinguish between real and fake content.
3. Technology Solutions: Developing software to detect deepfakes by analyzing inconsistencies in images or videos.
4. Watermarking and Authentication: Implementing systems that can verify the authenticity of digital content.
5. Regulation and Policy: Crafting laws and regulations that discourage the creation and distribution of malicious deepfakes.

For more detailed strategies or discussions on combating deepfakes, you might want to look for more specific sources or experts in the field of AI safety and media forensics.