NVIDIA CEO Jensen Huang was recently interviewed and expressed important views on the current status and future development of artificial intelligence. He believes that although current artificial intelligence technology has made significant progress, it is still far from a level that is "worthy of the trust of most people." AI's answers are not always the best, and there are problems behind them such as insufficient data processing capabilities and imperfect algorithms. Huang Renxun emphasized that improving computing power is the key to promoting the development of AI and solving these problems.
In the latest interview, Nvidia CEO Jensen Huang said that current artificial intelligence technology has not yet reached a level that can be "trusted by most people." He noted that despite significant advances in artificial intelligence in recent years, in many cases the answers provided by AI are not always optimal. He emphasized that future artificial intelligence systems will need more powerful computing capabilities to better solve complex problems.
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Huang Renxun mentioned that enterprises urgently need more computing resources to improve their artificial intelligence capabilities. Current AI technology often faces problems of insufficient data processing capabilities and imperfect algorithms, leading to deviations in practical applications. He believes that improving computing power will be a key factor in promoting the development of AI.
When talking about future development, Huang Renxun believes that although technology is advancing rapidly, there is still a long way to go before AI can be "trusted". He said that technicians need to continuously research and improve algorithms, while also strengthening the quality of data to ensure that AI systems can provide more accurate and reliable results.
He also mentioned that with the improvement of computing power, the application of artificial intelligence will become more widespread in various industries, from medical to finance, and the potential of AI will be further explored. However, this process does not happen overnight, and companies and R&D institutions must be prepared for long-term investment.
Huang’s remarks attracted widespread attention in the industry, and many people began to think about how to find a balance between technology and ethics to ensure that future artificial intelligence is not only efficient but also credible. As AI technology continues to evolve, public demand for its transparency and explainability will also increase.
Although the current artificial intelligence has not yet reached a state of perfection, through improved computing power and continuous technological innovation, we have reason to believe that future AI will be more mature and reliable.
Highlight:
Current AI technology still needs improvement and cannot be fully trusted.
More powerful computing power is the key to improving the quality of AI.
Achieving trustworthy AI will take several years and require long-term investment.
All in all, Huang’s views highlight the current challenges and opportunities facing the development of artificial intelligence. Improving computing power, improving algorithms, ensuring data quality, and paying attention to technical ethics will be important directions for the future development of artificial intelligence. Only in this way can we build a truly trustworthy artificial intelligence future.