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Number 3: Practical Applications of AI in Cryptocurrency - Auditing Smart Contracts and Enhancing Cybersecurity

Number 3: Practical Applications of AI in Cryptocurrency – Auditing Smart Contracts and Enhancing Cybersecurity

– AI has the potential to be used for smart contract auditing and cybersecurity in the crypto industry.

– However, current AI models like GPT-4 are not yet proficient in this area and may misclassify high-risk tokens as low-risk.

– OpenAI may have limited the capabilities of its bot to avoid being held responsible for vulnerabilities or exploits.

– While AI can assist in creating smart contracts, it often leads to logical code bugs and potential exploits.

– Training AI models with specific data on smart contract exploits and hacks is necessary to improve their auditing capabilities.

– Projects like WizardCoder and Near are working on AI models that incorporate vulnerabilities and aim to improve accuracy in auditing.

– AI is not expected to surpass human auditors in auditing smart contracts for at least a couple of years.

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