The Motley Fool Interviews NYU Professor Vasant Dhar: Thinking With Machines

What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

• 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% confidence

• Super forecasters anchor themselves in the right part of problems and tend to be relatively unbiased

  80% confidence

• In 2015 conversation, concluded that trading flows would disappear but venture capital and private equity would remain safe from AI automation

  80% confidence

• Humans have bounded rationality - limited cognitive resources, cannot enumerate all alternatives, use heuristics to find acceptable choices

  80% confidence

• Lost spatial navigation ability by relying on maps

  80% confidence

• Right now, machines don't write as well as humans

  80% confidence

• The burden of responsible AI consumption is on the consumer more than any other stakeholder

  80% confidence

• First question when evaluating Nvidia in 2023 was whether AI is an instrumental or disruptive technology

  80% confidence

• Won 80% of 1,526 matches while winning only 54% of points

  80% confidence

• In 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% confidence

• Using AI as a crutch will lead to cognitive decline in the long run

  80% confidence

• Social media platforms have caused tremendous harm to teenagers

  80% confidence

• Writing the book himself was much more fun and satisfying than using ChatGPT would have been

  80% confidence

• OpenAI doesn't want to be the moral police of the world and will open ChatGPT to adult content

  80% confidence

• Post-ChatGPT, it became possible to build a bot that replicates Aswath Damodaran's valuation thinking

  80% confidence

• Nvidia will have a dominant position in AI as a winner in disruption scenario

  80% confidence

• Initial attempts to fine-tune LLM with Damodaran's valuations did not work - it didn't sound like him and lacked depth

  80% confidence

• Small edges compound over time - you don't need to be perfect or really good, just slightly better than average for success

  80% confidence

• AI can be consumed to become superhuman and amplify skills if used correctly, or lead to cognitive decline if you become dependent

  80% confidence

• Aswath 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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