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watch video → here is the answer
Video 1:
What would be the difference between using ChatGPT today and a TRULY personalized AI that can act as your digital twin?
A truly personalized AI has access to “level 3” data, allowing it to mimic an individual’s behavior, preferences, and manner of speech, whereas ChatGPT provides generalized responses.
Own words: Mimic an individual’s behavior, preferences, and manner of speech.
What is the key issue with sharing Level 3 data with AI?
It exposes highly sensitive information to potential breaches.
Why do 59% of consumers feel uncomfortable using personalized AI?
Data privacy concerns due to centralized control.
Video 2:
What is the Data War?
A struggle to protect personal data from being exploited by third parties.
Current widely used methods of encryption have a big flaw. Describe that flaw in your own words.
Complexity
In a world where truly personalized AI needs your “level 3 data”, why is Blind Computation necessary?
It enables data to be processed without exposing it, thus protecting personal privacy.
How does blind computation work on a high level?
Data is masked, split among multiple nodes, processed without being seen, and then reassembled.
Video 3:
What are Privacy-Enhancing Technologies (PETs)?
Advanced technologies that protect data privacy, including techniques like Multi-Party Computation and Zero-Knowledge Proofs.
There isn’t a “silver bullet” PET that fits every use case - how does the orchestration layer solve this?
By facilitating the integration and coordination of multiple PETs, allowing them to work together based on their individual strengths.
Innovation in the world of PETs is currently stuck in “silos” - how does the orchestration layer solve this and leverage every breakthrough in the PET world?
PET Orchestration layer breaks down barriers to unite all the cool PET discoveries for better results.
Why is there no single Privacy-Enhancing Technology (PET) that can solve every problem?
Because different PETs have different strengths and weaknesses, making them suitable for different use cases. Because PETs are only effective in centralized sy
The current data landscape is a chaotic mess, but Nillion's fight for user control sparks a fire in me. I love making complex ideas accessible, and I can use that skill to rally people behind this crucial cause. Imagine powerful content that ignites online communities, fueled by constant research into the ever-shifting data battleground. Together, we can flip the script and build a future where users, not corporations, are the masters of their own information.
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