Published Feb 14, 2022

Mindscape 184 | Gary Marcus on Artificial Intelligence and Common Sense

Cognitive scientist Gary Marcus delves into the limitations of current AI, advocating for a hybrid approach to achieve true artificial intelligence with common sense, and explores the ethical challenges and biases in AI systems.

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Questions from this episode

- When will AI be smarter than humans?
  Asked by 150 people
- Will large language models scale all the way to artificial general intelligence (AGI)?
  Asked by 89 people
- How will AI impact humanity's future?
  Asked by 52 people
- What are the ethical concerns around artificial intelligence (AI)?
  Asked by 37 people
- What are the latest breakthroughs in AI?
  Asked by 27 people
- Is artificial intelligence really intelligent?
  Asked by 14 people
- What are some of the amazing things that AI can do?
  Asked by 10 people
- How does hardware production impact artificial intelligence?
  Asked by 9 people
- Can AI have biases?
  Asked by 9 people
- What are the ethical concerns of superintelligent AI?
  Asked by 5 people
- Tell me about the physics of progress
  Asked by 5 people
- How does AI learn common sense?
  Asked by 4 people
- What are the challenges of aligning AI with humans?
  Asked by 4 people
- How do AI experts view the timeline for when AI will be smarter than humans?
  Asked by 3 people
- Can artificial intelligence experience an iPhone moment?
  Asked by 2 people

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Mindscape 184 | Gary Marcus on Artificial Intelligence and Common Sense

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Episode Highlights

Hybrid AI

AI CreativityGary Marcus explores the limitations of AI in creative tasks and long-form content creation. He discusses the current capabilities and future challenges of AI, emphasizing the need for a more nuanced approach to developing intelligent systems.

AI Creativity

Ethical AIGary Marcus discusses the ethical dilemmas and biases in AI, emphasizing the challenges in programming moral values and achieving true understanding. He highlights the limitations of current AI systems and the need for more robust approaches.

Ethical AI

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