觀點人工智慧

A fallacy that will hinder advances in artificial intelligence
破除對人工智慧的誤解


弗洛裏迪:有人認爲,人工智慧的關鍵在於耦合人造的主觀能動性與智慧行爲。然而,反過來理解似乎才更有道理。

Great champions know how to end their career at the peak of their success. DeepMind, Alphabet’s artificial intelligence lab, has decided that its computer program, AlphaGo, will no longer focus on winning the board game Go. Instead, according to a blog post co-written by Demis Hassabis, DeepMind chief executive, the focus will be on “developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems, such as finding new cures for diseases”.

偉大的冠軍懂得如何在巔峯時刻激流勇退。Alphabet旗下人工智慧實驗室DeepMind已決定,其電腦程式AlphaGo將不再專注於下贏圍棋。取而代之的是,根據DeepMind執行長傑米斯•哈薩比斯(Demis Hassabis)與別人合寫的一篇博文,焦點將是「研發先進的通用演算法,有朝一日幫助科學家解決我們面臨的一些最複雜的問題,例如爲疾病尋找新的治療方法」。

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