Ethereum has long been criticized for low scalability and high fees, technical issues that have somewhat (if only slightly) hindered Ethereum's widespread adoption and its ambition to become the foundation for Web3.
Analysis of key points
1 Scalability:
AI can optimize the sharding process, which involves dividing the Ethereum blockchain into multiple parts to increase transaction speed.
A concrete example: Projects like “EigenLayer” and “Polymath” are developing AI-based sharding solutions for Ethereum.
2 Security and consent:
- AI can be used to develop new consensus algorithms that are more efficient and secure.
3 Efficiency and verification of transactions:
- AI can also be used to automate transaction verification, reducing the need for "validators".
For example, AI could identify anomalous or fraudulent transactions based on historical patterns and machine learning. Or, it can automate the process of verifying digital signatures on transactions, speeding up the validation process.
Growth of the AI and cryptocurrency sector
For this reason and certainly also other reasons related to promising projects and their continuous development, many of the cryptocurrencies in the AI sector have risen so much in value in the last 7 days, to name a few:
Fetch.ai (FET): +38% approximately
SingularityNET (AGIX): +72% approximately
Ocean Protocol (OCEAN): approximately +47%.
Numerai (NMR): approximately +34%.
The Graph (GRT): + approximately 42%.
Aside from the news that certainly contributed to the pump, AI has the potential to revolutionize the cryptocurrency sector but not only.
If Buterin's ideas are successfully implemented, Ethereum could become the foundation for a new era.
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