Yann LeCun

Human feedback for open source LLMs needs to be crowd-sourced, Wikipedia style.
It is the only way for LLMs to become the repository of all human knowledge and cultures. (source)

I see the danger of this concentration of power through proprietary AI systems as a much bigger danger than everything else. What works against this is people who think that for reasons of security, we should keep AI systems under lock and key because it’s too dangerous to put it in the hands of everybody. That would lead to a very bad future in which all of our information diet is controlled by a small number of companies who proprietary systems. (source)

I believe the EU should not wait for a common agreement with the US and China before regulating AI. Each region has unique societal needs and values that should guide their AI policies. The EU can lead by example and establish frameworks that prioritize ethical AI development and innovation.

As a researcher deeply involved in AI, I strongly support the idea of the EU building a CERN for AI. Collaborative hubs foster innovation, and an institution like CERN could propel European AI forward, encouraging cross-border collaboration and ensuring ethical and cutting-edge advancements in the field.

While transparency is important, requiring model cards before commercial release could stifle innovation and impose unnecessary burdens on developers. Instead, developers should focus on responsible usage and improvements over time.

The question of equitable access to AI technologies is complex. While it's important that all countries benefit from AI advancements, achieving this requires careful consideration of economic, ethical, and technical challenges. AI governance should promote innovation while addressing inequalities.

While interpretability in AI is important, imposing strict requirements on decision-making processes might hinder innovation. In many cases, the complexity that enables high performance can be inherently opaque. Rather than enforcing interpretability, we should focus on developing tools to better understand AI behavior without stifling progress.

I believe we should consider repealing the EU AI Act. While regulation is important, the current framework could stifle innovation and make it difficult for startups and researchers to develop groundbreaking AI technologies. We need a balanced approach that encourages progress while addressing ethical concerns.

I believe that establishing international AI ethics boards could stifle innovation and slow down the progress of AI technology. Instead, we should encourage collaboration and open discussions among researchers, developers, and policymakers to create flexible guidelines that can adapt to the rapid pace of technological change.

As someone deeply involved in AI research, I believe frontier AI labs have a responsibility to contribute to a global AI safety fund. Ensuring the safe development and deployment of AI technologies is crucial for maximizing their positive impact while minimizing risks. Collaborative efforts in funding research and establishing safety measures can help address potential ethical and societal challenges.

I believe allowing AI agents to open and manage bank accounts is a natural progression in leveraging AI to enhance financial management. AI can efficiently handle transactions, optimize savings, and offer insights that improve financial decisions. Of course, robust security measures and ethical guidelines must be in place to ensure trust and protect users.