E882: TWiST Live! OpenAI Greg Brockman on rapid acceleration toward artificial general intelligence
发布时间 2018-12-08 01:39:19 来源
摘要
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E882: TWiST Live! OpenAI Co-founder & CTO Greg Brockman on our rapid acceleration toward artificial general intelligence: shares achievements in deep learning, the death of Moore's Law (300,000x compute increase), & the risks of malice, competition & unintended consequences as OpenAI races to build AGI that benefits humanity
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Show notes:
0:45 - Jason introduces Greg Brockman and OpenAI.
1:58 - Greg on OpenAI’s mission, why OpenAI is a not-for-profit company, and how some technological advantages are damaging to society
9:35 - Jason thanks sponsor Squarespace. Visit squarespace.com and enter offer code: "twist" to save 10% on your first purchase of a website or domain.
11:18 - GPUs powering AI, and the death of Moore’s Law
18:16 - Setting the stage for neural networks and deep-learning, and real-life examples of training neural networks
23:59 - Dota Project, the spectrum of narrow and general AI, and programming an OpenAI robotic hand
29:38 - Jason thanks sponsor Four Sigmatic. Visit foursigmatic.com/twist or use discount code “twist” to receive 15% off!
31:32 - What can we achieve if we the advances made by Neurolink (founded by Elon Musk) and OpenAI come together?
36:21 - Google buying DeepMind, how far along Google is with AI advancements, and the contributions of machine-learning and AI communities
40:17 - Timeline of AI: from figuring out simple tasks (video games) to curing diseases to becoming sentient
45:55 - Jason thanks sponsor LinkedIn. Redeem your first free $100 ad credit by visiting linkedin.com/thisweekinstartups.
48:02 - What are the three categories of risk in AI?
57:47 - Dual use of AI and the growth of computation in the field of AI (in practice)
1:02:40 - Impact of quantum computing and other breakthrough technologies on the progress of AGI, China’s progress in the field, and engagement of the public sector in America
1:09:42 - Audience questions: Identifying culturally sensitive ideas in AI systems; coming to a consensus of “human values” in the post-AGI world; avoiding consequences when AI surpasses human intelligence; and AI policy in America vs. China
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