The Motley Fool Interviews NYU Professor Vasant Dhar: Thinking With Machines
View original at nasdaq.comThe Motley Fool Interviews NYU Professor Vasant Dhar: Thinking With Machines Motley Fool analyst Asit Sharma recently talked with Vasant Dhar about the brave new world of AI…
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We are slipping into a Huxleyan kind of world where we are gradually disempowering ourselves in many areas of our life, with machines becoming gatekeepers of human activity
80% confidenceSuper forecasters anchor themselves in the right part of problems and tend to be relatively unbiased
80% confidenceIn 2015 conversation, concluded that trading flows would disappear but venture capital and private equity would remain safe from AI automation
80% confidenceHumans have bounded rationality - limited cognitive resources, cannot enumerate all alternatives, use heuristics to find acceptable choices
80% confidenceLost spatial navigation ability by relying on maps
80% confidenceRight now, machines don't write as well as humans
80% confidenceThe burden of responsible AI consumption is on the consumer more than any other stakeholder
80% confidenceFirst question when evaluating Nvidia in 2023 was whether AI is an instrumental or disruptive technology
80% confidenceWon 80% of 1,526 matches while winning only 54% of points
80% confidenceIn 2015, believed machine learning applied to short-term trading but was too hard to apply to long-term investing due to insufficient training data
80% confidenceUsing AI as a crutch will lead to cognitive decline in the long run
80% confidenceSocial media platforms have caused tremendous harm to teenagers
80% confidenceWriting the book himself was much more fun and satisfying than using ChatGPT would have been
80% confidenceOpenAI doesn't want to be the moral police of the world and will open ChatGPT to adult content
80% confidencePost-ChatGPT, it became possible to build a bot that replicates Aswath Damodaran's valuation thinking
80% confidenceNvidia will have a dominant position in AI as a winner in disruption scenario
80% confidenceInitial attempts to fine-tune LLM with Damodaran's valuations did not work - it didn't sound like him and lacked depth
80% confidenceSmall edges compound over time - you don't need to be perfect or really good, just slightly better than average for success
80% confidenceAI can be consumed to become superhuman and amplify skills if used correctly, or lead to cognitive decline if you become dependent
80% confidenceAswath Damodaran is a super forecaster with ability to ask right questions and anchor himself in unbiased parts of problems
80% confidence
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