You're absolutely right about the "black box" issue in current ML paradigms. It's like we're in a loop where we use mysterious models to enhance even more enigmatic models. While these AI systems, especially the advanced LLMs, are pushing the boundaries of what's possible in research, there's a growing concern about our understanding (or lack thereof) of how exactly they arrive at certain conclusions or solutions.
The dilemma here is two-fold. On one hand, AI's capability to expedite research and development is undeniable and immensely valuable. On the other, the increasing complexity and opacity of these models pose significant challenges, not just technically but ethically as well. If we continue down this path, we might reach a point where AI's decisions and methods are beyond our comprehension, raising questions about control and responsibility.
So, while the acceleration of AI research by AI itself is an exciting prospect, tools like Mistral AI( https://mistral.ai/ ), Perplexity AI( https://perplexity.ai/ ), and Anakin AI( https://anakin.ai/ ) are getting into regular people's views, it's crucial that we develop a parallel focus on making these systems more transparent and understandable. It's not just about making faster progress, but ensuring that this progress is aligned with our values and is under our control.
You're absolutely right about the "black box" issue in current ML paradigms. It's like we're in a loop where we use mysterious models to enhance even more enigmatic models. While these AI systems, especially the advanced LLMs, are pushing the boundaries of what's possible in research, there's a growing concern about our understanding (or lack thereof) of how exactly they arrive at certain conclusions or solutions.
The dilemma here is two-fold. On one hand, AI's capability to expedite research and development is undeniable and immensely valuable. On the other, the increasing complexity and opacity of these models pose significant challenges, not just technically but ethically as well. If we continue down this path, we might reach a point where AI's decisions and methods are beyond our comprehension, raising questions about control and responsibility.
So, while the acceleration of AI research by AI itself is an exciting prospect, tools like Mistral AI( https://mistral.ai/ ), Perplexity AI( https://perplexity.ai/ ), and Anakin AI( https://anakin.ai/ ) are getting into regular people's views, it's crucial that we develop a parallel focus on making these systems more transparent and understandable. It's not just about making faster progress, but ensuring that this progress is aligned with our values and is under our control.