The rise of deep fake technology means we may soon have to question the authenticity of everything we see, which could have profound psychological effects on our perception of reality.

Cybersecurity is becoming increasingly complex as AI tools can generate convincing audio and video, making it harder to trust what we see and hear online.

Proof of identity is essential in today's world, but it doesn't need to include personal details; cryptographic proofs can verify humanity without linking to other identities.

Trust in AI systems involves verifying their reliability and consistency, which is crucial for user acceptance and enterprise success.

The emergence of deepfakes and AI-generated content poses a threat to our understanding of truth, making it difficult to discern reality from manipulation.

The internet lacks a strong identity layer, which has led to many current issues, including misinformation and trust problems. A robust identity system could significantly improve the online experience.

The importance of trust in AI systems is growing, as users need assurance that these systems will behave reliably and consistently.

Trust in AI systems is becoming more critical than raw performance, as users need to feel confident in the reliability and consistency of these systems.

The future will shift from detecting AI content to verifying human content, ensuring that voices are authenticated and traceable.