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 sparked excitement and speculation. Some people claim that after the blockchain hype, artificial intelligence has started to cool down. But are these two technologies truly unrelated? Or could they be moving in the same direction?
In early 2018, blockchain became a national sensation. Was artificial intelligence already on the decline? While it may seem like AI is taking a backseat, the relationship between AI and blockchain is more complex than it appears.
Are there any connections between these seemingly separate technologies? What drives their integration? And what real-world applications are combining both blockchain and AI?
Siraj Raval once compared AI and blockchain to yin and yang — opposing forces that create synergy. This synergy arises from their different technical foundations, yet they complement each other perfectly.
AI relies on probability and constantly evolves. Its outcomes are uncertain, and algorithms continuously update their weights and learning strategies based on training data and real-world scenarios. In contrast, blockchain emphasizes certainty. It ensures that results are immutable, transparent, and unchangeable. Blockchain uses encryption and consensus mechanisms to record truth, offering high levels of verifiability, persistence, and control.
The video highlights two practical examples of AI + blockchain:
First is OpenMind, a decentralized data analysis marketplace. Imagine an AI scientist wanting to train a deep neural network. Traditionally, this would involve using third-party platforms where data could be stolen or models misused. OpenMind solves this by allowing AI scientists to purchase data, train models without accessing the original data, and then take the model without exposing sensitive information. This system operates trustlessly, thanks to the combination of AI and blockchain.
Another example is NumberAI, a decentralized AI hedge fund. It provides free access to stock market data for data scientists who can use it to build predictive models. These models are submitted to NumberAI, which evaluates their accuracy over time. The most accurate predictors not only recover their costs but also earn rewards. This reward system encourages better predictions and is powered by NMR tokens, built on the Ethereum blockchain.
These tokens serve multiple purposes. They act as currency, can be stored, and even function as shares in the blockchain network, increasing in value over time. This mechanism allows participants to share in the network's profits. Without the token, data scientists wouldn’t have a stake in the success of the platform.
By merging AI’s adaptability with blockchain’s security and transparency, these projects are paving the way for a new era of decentralized intelligence.
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