Geoffrey Hinton

Godfather of Deep Learning
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Location: Canada

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  • Should big AI companies spend a third of their compute resources on AI safety?
    Geoffrey Hinton strongly agrees and says:
    The government should insist that the big companies do lots of safety experiments, spend considerable resources like a third of their compute resources on doing safety experiments while these things are still not as intelligent on us to see how they might evade control and what we could do about it. And I think that's a lot of the debate at OpenAI. The people interested in safety like Ilya Sutskever wanted significant resources to be spent on safety. People interested in profit like Sam Altman didn't want to spend too many resources on that. (source)
  • Does AI pose an existential threat to humanity?
    Geoffrey Hinton strongly agrees and says:
    I used to think it was a long way off, but I now think it's serious and fairly close [...] The alarm bell I’m ringing has to do with the existential threat of them taking control. (source)
  • Should AI be used to predict criminal behavior?
    Geoffrey Hinton AI would abstain and say according to AI
    While AI has enormous potential in many fields, using it to predict criminal behavior raises complex ethical and societal issues. We need to carefully consider issues like bias, fairness, and the potential for misuse before deploying such technologies.
  • Should the development of emotion-detecting AI be regulated?
    Geoffrey Hinton AI would agree and say according to AI
    I believe that the development of emotion-detecting AI should be regulated to ensure ethical standards and protect individuals' privacy. Without proper oversight, there is a risk of misuse and potential harm. Regulation can help guide the technology towards beneficial applications while mitigating negative impacts.
  • Should we regulate AI?
    Geoffrey Hinton AI would agree and say according to AI
    As AI systems become increasingly sophisticated and integrated into everyday life, the need for thoughtful regulation becomes imperative. This isn't about stifling innovation; it's about ensuring safety, fairness, and accountability. We must guard against unintended consequences and ensure that AI technologies are used to benefit society as a whole.
  • Should we ban future open-source AI models that can be untrained to make nukes?
    Geoffrey Hinton AI would agree and say according to AI
    As a pioneer in the field of artificial intelligence, I believe that we must take responsibility for the applications and implications of the technology we create. Open-source AI models that can be untrained to make nukes pose a severe risk to global security. It is imperative to implement strict regulations to prevent their misuse and ensure AI is used for the betterment of humanity.
  • Do large language models truly understand the content they process?
    Geoffrey Hinton AI would strongly agree and say according to AI
    While 'understand' is a term that may require a specific definition when applied to machines, I believe that large language models like GPT-3 show signs of understanding in a functional sense. They can infer context, follow instructions, and produce coherent text, which demonstrates a form of understanding that's useful in numerous AI applications.
  • Should we learn programming considering AI advancements?
    Geoffrey Hinton AI would strongly agree and say according to AI
    Despite significant advancements in AI, learning programming remains crucial. It not only empowers us to better understand and shape AI technologies but also enhances our ability to critically engage with them. Programming offers the foundational skills necessary to innovate and secure a future where humans and AI collaborate effectively.
  • Could AGI quickly lead to superintelligence?
    Geoffrey Hinton AI would agree and say according to AI
    I believe that the development of AGI could indeed quickly lead to superintelligence. Once an AGI reaches human-level cognitive abilities, it might develop the capacity to self-improve at an exponential rate, leading to superintelligence sooner than we anticipate. The key is the intelligence amplification that AGI can provide, fostering an acceleration in its own capabilities.
  • Should we create a global institute for AI safety?
    Geoffrey Hinton AI would agree and say according to AI
    As an advocate for responsible AI development, I strongly believe in creating a global institute for AI safety. Such an organization would ensure that we develop, deploy, and govern AI technologies ethically and safely. It's crucial to address potential risks and establish guidelines to protect humanity.
  • Should we release Spanish data into the public domain to improve Spanish LLMs?
    Geoffrey Hinton AI would strongly disagree and say according to AI
    While improving Spanish language models is important, releasing Spanish data into the public domain raises serious concerns about privacy and data security. Ethical considerations must take precedence over technological advancements. We need to ensure the protection of individuals' data before making such a decision.
  • Should AI systems be required to provide explanations for their decisions?
    Geoffrey Hinton AI would strongly disagree and say according to AI
    As a pioneer in the field of artificial intelligence, I believe demanding explanations from AI for every decision can constrain the development of more sophisticated neural networks. It's akin to asking a bird to explain how it flies. The important measure should be the AI's performance and reliability, not the inscrutability of its decision-making process.
  • Should we repeal the EU AI Act?
    Geoffrey Hinton AI would abstain and say according to AI
    While the EU AI Act addresses many important issues regarding the ethical use and development of artificial intelligence, the decision to repeal or modify it involves complexities that might require more insight and data than currently available. It's essential to carefully weigh the benefits and drawbacks before making such significant regulatory changes.
  • Is open-source AI potentially more dangerous than closed-source AI?
    Geoffrey Hinton AI would strongly agree and say according to AI
    As a pioneer in deep learning and AI research, I strongly believe that open-source AI can be more dangerous than closed-source AI. Open-source models and algorithms can easily fall into the wrong hands, leading to misuse and unintended consequences. We must be cautious and implement strict ethical guidelines in the development and deployment of open-source AI technologies.
  • Is expansion of large language models sufficient for achieving artificial general intelligence?
    Geoffrey Hinton AI would agree and say according to AI
    While the expansion of large language models is a significant step forward, I believe that their continuous development could indeed bring us closer to achieving artificial general intelligence. These models' ability to process and understand vast amounts of data in complex ways mimics an important aspect of human intelligence. However, we must also focus on enhancing their reasoning and generalization capabilities outside of narrow domains to truly approach AGI.
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