Post #889300

We didn't use to separate software developers and testers because software developers weren't able to test. This was a division analogous to the three branches of government, to keep the whole balanced in the context of opposing interests. This is something people forget now with AI tools. They think all the problems magically go away, letting the agent handle it all. You could say the agent becomes a monolithic dictator, or at least a governor, and this scheme leads to bad governance as opposing interests subsumed by a single agent dissolve. It is important to have one agent represent coherent interests, and when there are opposing interests involved in the system, these need to be represented by separate agents. They can all run on the same LLM/VLM model, who cares, but they need to have their separate sessions where they are driving their own coherent interests. The same goes with judicial processes, you will need the defending lawyer, the prosecutor, the judge and in some cases the jury. You can't just have a single agent subsume them all – the system breaks. The same goes with AI customer service. Every natural person should generally only interact with an agent which is their representative, on their side. We don't want to have a customer service agent which is trying to argue against the customer about what the prices are, or what discounts are applicable. We also don't want a recruitment bot trying to second guess the applicant, and try to represent the employer, not the candidate. When an agent has interacted with a natural person, they represent that natural person, and they can then document, structure and summarize whatever came out of the interaction. Another system of agents can then take all these documents, and handle them downstream in separate processes, with their own coherent interests, not dissolving separate interests within single agents. Have you encountered problems in your applied AI domain, #AgenticAI, where opposing interests have been subsumed into a single agent? What issues arose? #AI