The pace of technological advancement is incredibly rapid. From the early days of VR and AR, to the rise of blockchain and artificial intelligence, each innovation has captured attention in its own way. Some people argue that after the blockchain craze, AI began to cool down. But are these two technologies really unrelated? And do they have a future together?
At the start of 2018, blockchain became a national talking point. Was AI already on the decline? While it may seem like AI is losing momentum, the truth is more complex. There’s a growing interest in exploring how AI and blockchain can work in tandem.
So, what’s the connection between these seemingly separate fields? What drives their integration? And what real-world applications are combining both technologies?
Siraj Raval once compared AI and blockchain to yin and yang—opposite but complementary forces. Their synergy comes from their different technical foundations, yet they support each other in unique ways. AI brings adaptability and learning, while blockchain offers security, transparency, and immutability.
AI relies on probability and constantly evolves as it learns from new data. It updates its models based on training sets and real-world inputs, making the outcomes unpredictable. On the other hand, blockchain is all about certainty. Once data is recorded, it becomes immutable, ensuring trust and permanence. Its algorithms and encryption methods are designed to verify and preserve information.
To illustrate this, the video presents two practical examples of AI combined with blockchain:
The first is OpenMind, a decentralized data analytics marketplace. Imagine an AI scientist who wants to train a deep learning model. Instead of using centralized platforms where data could be compromised, OpenMind allows the scientist to purchase data without accessing it directly. After training the model, the scientist keeps the model without ever seeing the raw data. This ensures privacy and trust through the use of AI and blockchain technology.
Another example is NumberAI, a decentralized AI hedge fund. It provides free access to stock market data for data scientists, who then use this data to build predictive models. These models are submitted to NumberAI, and over time, the most accurate predictions are rewarded. The system uses tokens (NMR) built on the Ethereum blockchain to incentivize participation and ensure fairness.
These tokens serve multiple purposes. They function like currency, can be stored, and even act as a form of investment within the network. As the blockchain ecosystem grows, so does the value of the token, allowing participants to share in the network's success. Without the internal token, data scientists wouldn’t be able to benefit from the platform’s growth.
By combining AI’s learning power with blockchain’s security and transparency, these projects are paving the way for a more trustworthy and collaborative future in technology.
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