As a seasoned analyst with a background in cybersecurity and data privacy, I wholeheartedly agree with Edison Chen’s vision for Web3 in 2025. The shift towards decentralized identity solutions, data ownership, and protection of sensitive information is not only necessary but long overdue.
Having worked in the realm of military intelligence and advising at the White House, I have seen firsthand how vulnerable centralized repositories of data can be. David Holtzman’s warnings about AI and quantum computers are a stark reminder that our privacy is under constant threat.
In this digital age, it seems we are constantly balancing on the tightrope between convenience and security. Yet, as Tether CEO Paolo Ardoino aptly pointed out, localizing AI models can help strike that balance. By running custom-tailored AI solutions directly on devices, we can bypass the need for large, centralized companies and servers, thus reducing the risk of hacks and data breaches.
In jest, I’d say it’s ironic that while we strive to make our digital lives more secure, we often end up relying on passwords as strong as “123456” or “password.” It’s a reminder that even in the realm of technology, sometimes the simplest solutions can be the hardest to implement!
In 2025, according to Edison Chen, the CEO of CUDIS (a Web3 health and wellness company), prioritizing secure identity management, safeguarding personal data ownership, and maintaining privacy for sensitive information will be crucial focus areas for Web3.
According to the CEO, using autonomous identity systems empowers users by enabling them to manage their own data and even profit from it. (Chen)
“Historically, big companies have controlled user data, often monetizing it without consent. That’s changing. People now want to own their data and decide how it’s shared and monetized.”
In healthcare, it’s crucial to carefully control what information is shared – this ensures privacy, which is essential given that confidentiality of medical records is a fundamental right. However, with technological advancements like AI on the rise, maintaining this privacy becomes increasingly challenging. This point was emphasized by our CEO during his conversation with CryptoMoon.
Privacy challenges in a world of AI and quantum computers
As a former military intelligence expert, White House advisor, and current chief strategy officer of Naoris’ decentralized security protocol, I, David Holtzman, have issued a cautionary statement to CryptoMoon regarding an impending risk to privacy posed by advancements in artificial intelligence (AI) and quantum computing.
Holtzman, the writer of “Privacy Lost: How Technology is Threatening Your Privacy, ” expressed concern over the fact that centralized databases are vulnerable because they have only one potential point where things can go wrong.
The danger becomes more intense due to AI systems capable of swiftly gathering and analyzing relevant data like a person’s or organization’s blockchain transactions, which malicious users could utilize to pinpoint victims with greater accuracy.
Quantum computers, posing a potential danger to current encryption methods, could also jeopardize the security of financial institutions, military intelligence, digital currencies, and healthcare systems, as noted by Holtzman.
Thankfully, both these threats can be mitigated by decentralized blockchain technologies, he added.
As a researcher, I advocate for the decentralization of Artificial Intelligence, as it empowers humans to act as checks on autonomous systems, preventing potential unchecked AI actions. Furthermore, I emphasize the importance of quantum-resistant cryptography in safeguarding confidential information from quantum attacks, ensuring data security amidst technological advancements.
By July 2024, Tether’s CEO, Paolo Ardoino, expressed his belief that it is crucial for AI models to be customized to specific regions in order to maintain user privacy, autonomy, and guard against intrusions from hacked centralized servers.
In simpler terms, the head of Tether stated that modern smartphones and computers have sufficient power to operate personalized AI solutions without relying heavily on big, centralized corporations and their servers, thus bypassing dependence.
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2025-01-03 00:48