So, you have to feed it some updated assumptions, because ChatGPT relies on an OMB estimate that improper payments are only $200B per year, and that SARBOX controls would only eliminate 20% of those improper payments. Even at those unrealistically conservative estimates, ChatGPT recommends implementing SARBOX for the federal government (FEDBOX).
I fed it some more reasonable assumptions:
1) Federal fraud is about 20% of the total budget. I think that this is a conservative estimate. I think that arguing against that at this point would be difficult
2) SARBOX for the federal government would cut that fraud by 80%. This assumption is a little more aggressive, but, with AI, I think it would be reasonable. The trick is to use Musk's playbook of bottoms-up, going with the payments first, and working back. All other attempts at fraud have been top-down, going with allocations first.
From ChatGPT, I was able to:
1) estimate the net savings of FEDBOX after implementation costs.
2) suggest a timeline for a phased in implementation, what those phases should be, an how long each phase may take, the challenges of implementation, and how to overcome them.
3) A detailed cost benefit analysis of each phase
4) The break even point of implementation (year 1 or 2)
5) Policy recommendations for implementation for Congress and the White House
6) The policy makers and federal agencies that might lead the charge
7) Draft legislative proposal to get things rolling
The resulting research is fascinating for two reasons:
1) It gives an easy to understand answer for a very complex issue. It would have taken me at least two weeks tp put this together, maybe a month. My ChatGPT session was about 5 minutes.
2) It uses second level reasoning. This isn't just data, it is applying data to a problem, and providing a good answer.
3) ChatGPT is very weak compared to the best engines out there. Pro is way better.
This is a lot of reading, but hopefully this is enlightening. And, if you are in the knowledge business, this is also likely terrifying.
Here are the link to the chat:
https://chatgpt.com/share/67b49d4d-03f4-8003-a26b-d75653ee59a9
Here is the draft legislation:
https://chatgpt.com/canvas/shared/67b4a1f07c34819197bf481c31f71dbc
The one thing that ChatGPT didn't do well was to create an executive summary of this research for a blog post. It took me 10x longer to write this post than it did all of the research above.
BTW, my plan is to refine this proposal, making sure there are no factual inaccuracies, and email it to every senator or congressman that I think might find it interesting.
I fed it some more reasonable assumptions:
1) Federal fraud is about 20% of the total budget. I think that this is a conservative estimate. I think that arguing against that at this point would be difficult
2) SARBOX for the federal government would cut that fraud by 80%. This assumption is a little more aggressive, but, with AI, I think it would be reasonable. The trick is to use Musk's playbook of bottoms-up, going with the payments first, and working back. All other attempts at fraud have been top-down, going with allocations first.
From ChatGPT, I was able to:
1) estimate the net savings of FEDBOX after implementation costs.
2) suggest a timeline for a phased in implementation, what those phases should be, an how long each phase may take, the challenges of implementation, and how to overcome them.
3) A detailed cost benefit analysis of each phase
4) The break even point of implementation (year 1 or 2)
5) Policy recommendations for implementation for Congress and the White House
6) The policy makers and federal agencies that might lead the charge
7) Draft legislative proposal to get things rolling
The resulting research is fascinating for two reasons:
1) It gives an easy to understand answer for a very complex issue. It would have taken me at least two weeks tp put this together, maybe a month. My ChatGPT session was about 5 minutes.
2) It uses second level reasoning. This isn't just data, it is applying data to a problem, and providing a good answer.
3) ChatGPT is very weak compared to the best engines out there. Pro is way better.
This is a lot of reading, but hopefully this is enlightening. And, if you are in the knowledge business, this is also likely terrifying.
Here are the link to the chat:
https://chatgpt.com/share/67b49d4d-03f4-8003-a26b-d75653ee59a9
Here is the draft legislation:
https://chatgpt.com/canvas/shared/67b4a1f07c34819197bf481c31f71dbc
The one thing that ChatGPT didn't do well was to create an executive summary of this research for a blog post. It took me 10x longer to write this post than it did all of the research above.
BTW, my plan is to refine this proposal, making sure there are no factual inaccuracies, and email it to every senator or congressman that I think might find it interesting.