We often assume that if every individual part of a system is defensible, the system as a whole must be sound. This logic fails spectacularly when confronted with emergence, where complex interactions create outcomes far removed from the intent of any single part. We don't realize the danger until it's...
> "The irrationality of a thing is no argument against its existence, rather a condition of it." - Nietzche Series Introduction In recent years, the development and deployment of Large Language Models (LLMs) have revolutionized the field of artificial intelligence. These models, such as GPT-3, have shown remarkable capabilities in...
We often assume that if every individual part of a system is defensible, the system as a whole must be sound. This logic fails spectacularly when confronted with emergence, where complex interactions create outcomes far removed from the intent of any single part. We don't realize the danger until it's already here.
While the mechanism isn't a simple linear 'slippery slope,' the dynamic is just as treacherous. It’s a tyranny of small decisions: each interaction seems locally rational and harmless, yet the cumulative result is catastrophic. We discount the accumulating risk. At what point does the accumulation of "okay" inputs generate a "screwed up" reality? How do we evaluate where to place a... (read 1439 more words →)
"The irrationality of a thing is no argument against its existence, rather a condition of it." - Nietzche
In recent years, the development and deployment of Large Language Models (LLMs) have revolutionized the field of artificial intelligence. These models, such as GPT-3, have shown remarkable capabilities in understanding and generating human-like text across various domains. However, a closer examination reveals that while these models excel in various linguistic tasks, they often struggle when it comes to mathematical reasoning and maintaining a high level of accuracy. Mathematical concepts often demand precise logical reasoning, symbol manipulation, and an understanding of complex relationships between numbers and equations. LLMs tend to struggle with these aspects because... (read 2490 more words →)