The Missing Puzzle Piece in Artificial Intelligence A Value Perspective

Artificial Intelligence
The rapid development of technology; but it needs to adopt the values of
cryptocurrency
.
The tech industry’s dream of the artificial intelligence revolution has always been a double-edged sword.
Unleashing artificial intelligence can solve humanity’s greatest challenges, but it can also concentrate power in dangerous ways.
This is where the utility of encryption and blockchain lies. The values that have made cryptocurrency cool can also help AI become better. These values can help artificial intelligence build a more fair, secure, and open future.
Decentralization
, permissionless innovation, open-source systems,
privacy
, transparency, user
ownership
. These are not just fancy words; they have the potential to unlock the black box of artificial intelligence.
This is why the artificial intelligence industry needs the magic of cryptocurrency
Building an inclusive open artificial intelligence ecosystem
Artificial intelligence and cryptocurrency. Source: Prospects and Challenges of Crypto + AI Applications
Currently, a few large tech companies control most of the computing power and are building moats around their artificial intelligence research. This creates an “artificial intelligence mafia” that stifles innovation and competition faster than you can say “walled garden.”
However, decentralization is the ultimate plot twist.
In a decentralized artificial intelligence paradigm, computing power and AI research do not require permission. Artificial intelligence becomes everyone’s tool, breaking down the barriers set by the artificial intelligence mafia and democratizing access to knowledge, tools, and resources.
Shared resources mean more people can participate in the most challenging aspects of artificial intelligence. The more diverse the builders, the less bias in algorithms, which is a victory for everyone.
However, open-source development has always struggled to be profitable. If people can’t make money from it, how do you get them to create great things? This often leads companies to close the source code and prioritize profitability.
“Decentralized artificial intelligence with cryptographic incentives” solves this problem.
Cryptocurrency provides a new way for open-source artificial intelligence to be profitable. It creates an open market for artificial intelligence development, ensuring token access and rewarding contributions.
For example, in decentralized artificial intelligence networks like
Bittensor
, developers can earn
TAO
tokens when they use their machine learning models in different AI applications.
This dynamic allows decentralized AI networks to attract top talent through tokenized incentives, creating a sustainable value chain that does not exist in closed-source, centralized models.
Ensuring user data privacy
We live in a data-hungry world. Everyone wants your data to understand your likes and dislikes, and then use it to sell you things.
Artificial intelligence is no exception. AI systems need a lot of data to function properly. Large AI companies often store entire conversation histories to train their models and improve services, but this raises significant privacy concerns.
Imagine all your personal information – shopping habits, browsing history, even health records – being thrown into a huge artificial intelligence pot. You have to trust that the company won’t abuse or sell this information. It’s terrifying, right?
To truly gain user trust, artificial intelligence needs to adopt privacy protection technologies. Building trust requires transparency and verifiability, and
zero-knowledge proofs
(ZKP) can help achieve this.
Artificial intelligence projects in the encryption field also adopt other privacy protection technologies. For example, Venice.ai only stores session records in the user’s browser and ensures that user requests are encrypted. GPU providers process these requests, but no server sees the entire session history or knows the user’s identity.
By integrating these encryption methods and values, we can create AI systems that respect user privacy and data ownership.
Training artificial intelligence models while maintaining privacy without using user data? If there isn’t enough data, AI can’t understand the real-world situation well, leading to “AI illusions,” where AI produces incorrect outputs.
This is where synthetic data comes in. Synthetic data is artificially generated by algorithms to simulate real data. It has privacy protection features because it does not expose personal information. All major AI companies are using it, and it is a burgeoning research field.
Cryptocurrency can incentivize the creation of synthetic data sets for AI models through crowdsourcing. Users contribute verified data points to earn tokens, solving the problem of insufficient training data.
For example, projects like Synthetic AI build tools for creating synthetic data, allowing users to contribute synthetic data and earn SAI tokens. Ensuring the quality of these datasets can greatly accelerate efforts to generate data for training AI models while maintaining user data privacy.
Conclusion
The future of artificial intelligence is uncertain, but one thing is certain: it needs to be built on trust and transparency in an open-source foundation.
Cryptocurrency focuses on decentralized ownership, permissionless access, and privacy, providing the missing pieces. The tools are there; it’s time to use them and write the next chapter of the artificial intelligence story.
Can the value of cryptocurrency improve the artificial intelligence industry? Let us know your thoughts in the comments below!
Tags
Bittensor
Sai
TAO
Artificial Intelligence
Tokenization
Cryptocurrency
Decentralization
Ownership
Privacy
Zero-Knowledge Proofs
Source Link:
https://www.chaincatcher.com/article/2127938
Note: The opinions expressed by BitPush do not constitute investment advice
Original Link: https://www.bitpush.news/articles/6850087
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