Yann LeCun: Was HAL 9000 Good or Evil? - Space Odyssey 2001 | AI Podcast Clips
发布时间 2019-09-16 07:45:32 来源
摘要
This is a clip from a conversation with Yann LeCun on the Artificial Intelligence podcast from Aug 2019. You can watch the full conversation here: http://bit.ly/2NJiCov or listen to it here: https://lexfridman.com/yann-lecun/ and subscribe on your podcast app. You can watch other clips on the clips playlist: http://bit.ly/2JYkbfZ or full episodes on the full episode playlist: http://bit.ly/2EcbaKf Please note, I select clips with insights from these much longer conversation with the hope of helping make ideas from the podcast more accessible and discoverable. Ultimately, this podcast is a small side hobby for me with the goal of sharing and discussing ideas. For now, I post a clip every day when there is not a full length video. I did a poll and 92% of people either liked or loved the posting of daily clips, 2% were indifferent, and 6% hated it, some suggesting that I post them on a separate YouTube channel. I hear the 6% and partially agree, so am torn about the whole thing. I tried creating a separate clips channel but the YouTube algorithm makes it very difficult for that channel to grow unless the main channel is already very popular. So for a little while, I'll keep posting clips on the main channel. I ask for your patience and to see these clips as supporting the dissemination of knowledge contained in nuanced discussion. If you enjoy it, consider subscribing, sharing, and commenting.
Full episode: http://bit.ly/2NJiCov
Full episodes playlist: http://bit.ly/2EcbaKf
Clips playlist: http://bit.ly/2JYkbfZ
Podcast website: https://lexfridman.com/ai
Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition.
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