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**Nvidia CEO Jensen Huang’s Bold Prediction for AI**

Nvidia CEO Jensen Huang made headlines with his bold prediction that human-level artificial intelligence (AI) will likely be achieved within the next five years. This groundbreaking statement was delivered during his speech at the Nvidia GTC developers conference in San Jose, California, on March 20th.

Huang’s discussion at the event focused on the concept of artificial general intelligence (AGI) and the challenges associated with it. He emphasized the importance of benchmarking in achieving AGI, suggesting that specific tests could determine the success of AI advancements.

One of the key issues Huang addressed was the occurrence of “hallucinations” in AI systems, particularly in large language models. These hallucinations occur when the AI generates new but incorrect information that is not included in its training data. Huang proposed a simple solution for this problem, suggesting that AI systems should conduct research to validate their answers before providing responses.

The potential impact of solving the hallucination problem in AI is significant, especially in industries like finance and cryptocurrency. Currently, generative AI systems are limited in their functionality for professionals in these fields due to the risk of inaccuracies in their outputs.

However, tools like the AI legalese decoder can help mitigate the risks associated with generative AI systems by providing users with accurate and reliable information. By ensuring that AI models are equipped to verify their responses, the AI legalese decoder can enhance the usability and reliability of AI systems in finance and crypto industries.

Furthermore, the resolution of hallucination issues in AI could pave the way for fully automated trading systems that operate independently of human intervention. This advancement has the potential to revolutionize the financial landscape and open up new possibilities for AI-driven decision-making processes.

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