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It’s more than the C-Suite, it’s everyone who no longer has a knowledge specialty. Their domain is shattered and there is nothing left for them because before L

It’s more than the C-Suite, it’s everyone who no longer has a knowledge specialty. Their domain is shattered and there is nothing left for them because before LLMs all they did anyway was search for companies to contract out an integration to solve a niche problem. 99% of the C-suites/boards are now this. Your IT guy, scrum master, Product lead, integration team, etc. Everyone who’s chosen to NOT understand because they can offload/contract-away their work and knowledge is under psychosis that LLMs know best. You cannot discuss tradeoffs with anyone anymore because they chose to give their brain and authority away to a statistically incorrect robot. The LLM has already generated potential tradeoffs real or not.

rramadass 5mo ago
> it’s everyone who no longer has a knowledge specialty. > Everyone who’s chosen to NOT understand because they can offload/contract-away their work and knowledge is under psychosis that LLMs know best. Right on the money! These people's ignorance was compensated for by other non-ignorant intelligent people in the organization who actually had knowledge of the domain and tools/techniques for problem-solving. The latter were the ones doing the course-correcting and ensuring things stayed on track for delivery. With the adoption of AI, ignorance is in the driver's seat viz. "i don't have to know anything since AI will do it for me". I guarantee that a few years down the line when there is enough AI generated messy/obfuscated/wrong code the C-Suites will realize the hole they have dug themselves into and will again look for human engineers to either fix or rewrite the above.
- righthand 5mo ago
  It will be a different wave of C-Suite then and I’m not so sure that next wave will be remotely intelligent to see the issues.
  - rramadass 5mo ago
    The circumstances will force them to face the issues. Three points are relevant here; 1) The amount of money sunk into AI (trillions!) is never going to be made back. 2) Early AI adopters are finding out that it costs more to use AI instead of Humans. 3) AI adoption is making people dumber w.r.t. a specific job at hand. This means precious institutional knowledge is lost which directly translates to increased costs on extension and maintenance of crucial AI generated systems.
    - righthand 5mo ago
      We shall see, my main gripe is that the next wave wont know there were ways of working before LLMs. Recc: Read Vonneguts Player Piano to see where I think this is heading.

rramadass 5mo ago

> it’s everyone who no longer has a knowledge specialty. > Everyone who’s chosen to NOT understand because they can offload/contract-away their work and knowledge is under psychosis that LLMs know best. Right on the money! These people's ignorance was compensated for by other non-ignorant intelligent people in the organization who actually had knowledge of the domain and tools/techniques for problem-solving. The latter were the ones doing the course-correcting and ensuring things stayed on track for delivery. With the adoption of AI, ignorance is in the driver's seat viz. "i don't have to know anything since AI will do it for me". I guarantee that a few years down the line when there is enough AI generated messy/obfuscated/wrong code the C-Suites will realize the hole they have dug themselves into and will again look for human engineers to either fix or rewrite the above.

righthand 5mo ago
It will be a different wave of C-Suite then and I’m not so sure that next wave will be remotely intelligent to see the issues.
- rramadass 5mo ago
  The circumstances will force them to face the issues. Three points are relevant here; 1) The amount of money sunk into AI (trillions!) is never going to be made back. 2) Early AI adopters are finding out that it costs more to use AI instead of Humans. 3) AI adoption is making people dumber w.r.t. a specific job at hand. This means precious institutional knowledge is lost which directly translates to increased costs on extension and maintenance of crucial AI generated systems.
  - righthand 5mo ago
    We shall see, my main gripe is that the next wave wont know there were ways of working before LLMs. Recc: Read Vonneguts Player Piano to see where I think this is heading.