*The Flaw in Relying on a Supervisor Al Agent*
As I've been browsing industry news, I've noticed a concerning trend. Companies are promoting the idea of adding a supervisor or "manager" Al agent on top of existing Al systems to reduce hallucinations, drift, and mistakes. This approach is often coupled with the addition of multiple Al judges to evaluate outputs, resulting in impressive-sounding low percentage false positives or mistakes. However, this strategy is fundamentally flawed.
*The Problem with Layering Al Agents*
Adding more Al agents on top of existing ones may seem like a logical solution to mitigate errors. After all, humans often use managers or supervisors to oversee and correct the work of others. But, this analogy is flawed when applied to Al systems. When you add more Al agents, you're essentially creating a complex web of interacting systems. This can lead to increased latency, decreased accuracy, and a higher likelihood of errors.
Think of it like trying to stay warm by wrapping yourself in a wet blanket. Initially, it might provide some relief, but as you add more blankets, you'll eventually freeze. The added complexity and interactions between the Al agents will lead to a decrease in overall system performance.
*Determinism: A Known Solution*
We already have the tools to achieve determinism in software. By using hybrid solutions that combine Al with traditional software, we can eliminate the need for multiple Al agents. Determinism ensures that the output is predictable and consistent, reducing the likelihood of errors. It's a proven approach that's been used successfully in various industries.
*A Misguided Faith in Pure Al Solutions*
The reliance on pure Al solutions is a misguided faith in the capabilities of these systems. While Al has made tremendous progress in recent years, it's still a developing technology. Relying solely on Al agents to solve complex problems is akin to trying to build a skyscraper without a solid foundation.
Hybrid solutions that combine the strengths of Al with traditional software are the only way forward. By leveraging the predictability and determinism of software, we can create more reliable and accurate Al systems. It's time for companies to abandon the flawed approach of layering Al agents and instead focus on developing hybrid solutions that truly work.