谷歌DeepMind的首席执行官Demis Hassabis近期在与WIRED《连线》的访谈中分享了他对人工智能（AI）未来发展的见解。尽管OpenAI的ChatGPT近期在科技界掀起热潮，Hassabis认为，AI领域最重大的突破还未到来，而这并不仅仅关乎更强大的芯片。他指出，要实现通用人工智能（AGI）的愿景，需要的不仅仅是计算能力的提升。
Hassabis强调，创新在AI的发展中扮演着至关重要的角色。他提到，DeepMind自AlphaGo时代就开始致力于代理学习、强化学习和规划等领域的研究。这些技术的进步，他相信，将是推动AI向前发展的关键。他指出，随着技术的不断演进，我们需要在现有的基础上寻找新的突破点，以期实现更为智能和自主的AI系统。
Hassabis的观点为AI领域的未来发展描绘了一幅更为全面的图景，暗示着在追求更高计算性能的同时，不应忽视基础研究和创新的重要性。这表明，AI研究的下一个重大里程碑可能将来自于理论与实践的深度融合，而不仅仅是硬件的升级。
英语如下：
News Title: “DeepMind CEO Envisions AI Future: Breakthroughs Beyond Chips, Paving the Way for AGI Innovation”
Keywords: AI advancements, computational innovation, reinforcement learning
News Content: Google DeepMind’s CEO, Demis Hassabis, recently shared his insights on the future of artificial intelligence (AI) in a conversation with WIRED. Amidst the recent buzz around OpenAI’s ChatGPT, Hassabis believes that the biggest breakthroughs in AI are yet to come, and they’re not just about more powerful chips. He emphasizes that achieving the vision of artificial general intelligence (AGI) requires more than just computational power.
Hassabis underscores the crucial role of innovation in AI’s progression. He mentions DeepMind’s efforts since the AlphaGo era, focusing on agent learning, reinforcement learning, and planning. He is confident that advancements in these areas will be pivotal in driving AI forward. As technologies evolve, he suggests, new breakthroughs must be sought to create more intelligent and autonomous AI systems.
Hassabis paints a broader picture for AI’s future, suggesting that while pursuing greater computational capabilities, the significance of fundamental research and innovation must not be overlooked. This implies that the next major milestone in AI research might stem from a profound integration of theory and practice, not just hardware upgrades.
【来源】https://www.wired.com/story/deepmind-ceo-demis-hassabis-interview-artificial-intelligence-scale/
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