Nvidia CEO’s Revolutionary Solution: Disrupting Crypto with AI De-Hallucination

Nvidia CEO Jensen Huang expressed his belief that human-level artificial intelligence (AI) will likely be achieved within the next five years and that solving hallucination, a major challenge in the field, would be relatively easy. Huang made these remarks during his speech at the Nvidia GTC developers conference in San Jose, California on March 20. He specifically addressed the concept of artificial general intelligence (AGI), stating that it could be achieved by setting specific benchmarks for AI programs to outperform humans by a certain margin, potentially within five years.

The term “general” in AI refers to a system that can perform any task that an average human can do, given the necessary resources, regardless of the benchmark. Huang also discussed the issue of hallucinations, which occur when AI models generate incorrect information not present in their data sets. He proposed a simple solution by adding a rule that requires AI systems to verify answers and conduct research before providing a response.

Although certain AI systems already have the capability to provide sources for their outputs, solving the hallucination problem could have a significant impact on various industries, including finance and cryptocurrency. Currently, generative AI systems provide warnings about their potential for errors, advising users to verify important information. In finance and crypto, accuracy is crucial for maximizing profits, which limits the functionality of generative AI systems in these fields.

If hallucination in AI is completely solved, it could revolutionize automated trading and financial decision-making. Existing experiments with trading bots powered by generative AI systems are constrained by preprogrammed rules to prevent autonomous execution, similar to placing limit orders. If AI models no longer produce fabricated outputs, they could potentially conduct trades and make financial recommendations without human intervention. This could lead to fully automated trading becoming a reality.