In a recent interview, Nvidia CEO Jensen Huang stated that current artificial intelligence technology has not yet reached a level that can be "trusted by most people." He pointed out that despite significant advancements in AI in recent years, the answers provided by AI are not always the best in many cases. He emphasized that future AI systems will require more powerful computing capabilities to better solve complex problems.
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Huang mentioned that companies urgently need more computing resources to enhance their AI capabilities. Current AI technology often faces issues of insufficient data processing power and imperfect algorithms, leading to biases in practical applications. He believes that improving computing power will be a key factor in driving AI development.
When discussing future developments, Huang noted that although technological advancements are rapid, there is still a long way to go before achieving "trustworthy" AI. He stated that technologists need to continuously research and improve algorithms, while also enhancing data quality to ensure that AI systems can provide more accurate and reliable results.
He also mentioned that with the enhancement of computing power, the application of artificial intelligence across various industries will become more widespread, from healthcare to finance, and the potential of AI will be further explored. However, this process will not happen overnight; companies and research institutions must be prepared for long-term investments.
Huang's remarks have sparked widespread attention in the industry, prompting many to consider how to find a balance between technology and ethics to ensure that future artificial intelligence is not only efficient but also trustworthy. As AI technology continues to evolve, public demand for its transparency and explainability will also increase.
Although current artificial intelligence has not yet reached perfection, through enhancing computing power and continuous technological innovation, we have reason to believe that future AI will become more mature and reliable.
Key Points:
🌟 Current AI technology still needs improvement and cannot be fully trusted.
🔧 More powerful computing capabilities are key to enhancing AI quality.
📈 Achieving trustworthy AI will take several more years and requires long-term investment.