57 Prof. Melanie Mitchell Why AI is harder than we think

Since its beginning in the 1950s, the field of artificial intelligence has vacillated between periods of optimistic predictions and massive investment and periods of disappointment, loss of confidence, and reduced funding. Even with todays seemingly fast pace of AI breakthroughs, the development of longpromised technologies such as selfdriving cars, housekeeping robots, and conversational companions has turned out to be much harder than many people expected. Professor Melanie Mitchell thinks one reason for these repeating cycles is our limited understanding of the nature and complexity of intelligence itself. Framing 00:00:00 Dartmouth AI Summer Workshop 00:07:02 Letitia Intro to Melanie 00:09:22 The Googleplex situation with Melanie and Douglas Hofstadter 00:14:58 Melanie paper 00:21:04 Note on audio quality 00:25:45 Main show kick off 00:26:51 AI hype 00:29:57 On GPT3 00:31:46 Melanie s Why is AI harder than we think paper 00: