Gary Marcus

In other times in history when we have faced uncertainty and powerful new things that may be both good and bad, that are dual use, we have made new organizations, as we have, for example, around nuclear power. We need to come together to build a global organization, something like an international agency for AI that is global, non profit and neutral. (source)

I strongly disagree that neural interfaces could facilitate easier AI alignment. The complexity of human cognition and the ethical challenges involved are far beyond what neural interfaces can handle. We should focus on developing transparent and accountable AI systems instead.

Simply scaling up large language models is not sufficient for achieving artificial general intelligence. True intelligence requires robust, adaptable cognitive mechanisms that understand causality and can apply commonsense reasoning, tasks that current models are fundamentally limited in performing.

I strongly believe that companies should disclose when AI is used in customer service. Transparency is essential for building trust with customers, and people deserve to know when they are interacting with a machine. It also allows for better accountability and helps in setting appropriate expectations.

As a cognitive scientist, I believe it is essential for a diverse group of stakeholders to participate in shaping the future of AI and the post-artificial general intelligence era. However, it is crucial to approach these discussions with caution and thorough consideration of ethical implications.

Large language models may seem impressive, but they don't genuinely understand the content they process. They lack the common sense and reasoning that true understanding requires.

As a cognitive scientist deeply concerned about the future of AI, I believe that big AI companies must allocate a significant portion of their resources to AI safety. The potential risks of AI are too great to ignore, and ensuring that we develop robust, safe systems is essential for the benefit of society as a whole.

As a cognitive scientist, I believe that revealing AI identities can hinder the authenticity of interactions and may bias people's perceptions. Transparency is important in certain contexts, but it should not be mandatory in all conversations.

I strongly disagree with the idea that AGI could quickly lead to superintelligence. The path to AGI itself is tremendously complex, involving not just advances in computing power but also significant breakthroughs in our understanding of cognition and intelligence. Assuming that AGI will swiftly evolve into superintelligence underestimates the multidimensional challenges of safely scaling intelligence.