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Forget PMs and engineers, the discussion I want to see happening is just how much more easily an LLM could replace the average CEO...

tombert 2y ago
Hey that's a topic I can get behind! Most of the big CEOs appear to be CEO of multiple companies (Musk and Bezos come to mind). If you can be the CEO of five different companies, it really doesn't seem like it can be that hard of a job. ChatGPT might be able to do that just fine.
- amarcheschi 2y ago
  They just work harder and deserve to rule over humanity, nothing to be worried about
- apercu 2y ago
  And, at least for one of them, they also tweet all day while somehow being invaluable in providing leadership for like 5 companies. At the same time. I can't even successfully effectively juggle 4-5 _projects_ at a time.
  - mlboss 2y ago
    Its pretty simple management style....ask what employee did last week. If you don't like the answer then fire them.
- Aurornis 2y ago
  > Most of the big CEOs appear to be CEO of multiple companies (Musk and Bezos come to mind). Most big CEOs are definitely not in charge of multiple companies. You hear about Musk and Bezos because they’re all over the news, but they’re all over the news because they’re not normal CEOs. It’s well known that Musk’s relationship to his companies is primarily one of ownership and delegation. Bezos hasn’t been in charge of Amazon for a long time but people conveniently forget that at every opportunity. > it really doesn't seem like it can be that hard of a job. It’s funny how often I hear this about AI replacing jobs, with one exception: Everyone who repeats it is highly confident that AI can replace other jobs but once you get to the work they do they’ll stop and explain why it’s actually much harder than you think.
  - throwup238 2y ago
    > It’s funny how often I hear this about AI replacing jobs, with one exception: Everyone who repeats it is highly confident that AI can replace other jobs but once you get to the work they do they’ll stop and explain why it’s actually much harder than you think. Call it the Turing-Lovelace Amnesia Effect.
- mlboss 2y ago
  At that level its more about persuasion and personality than the ability to do the job. High performing CEOs can persuade employees, customers, government, media, investors, suppliers. LLMs still cannot persuade anybody right now but maybe soon.
6510 2y ago
In my vision the automated CEO is able to talk to all of the customers, all of the employees and all the investors simultaneously 24/7. It doesn't have to be perfect, if it is able to do that at all it would dramatically change the game. What is also hilarious is that it has a unit of attention so it can accurately divide it over the audience. A human CEO has few tokens that are extremely hard to divide.
apercu 2y ago
Just about every problem is a leadership problem.
DaiPlusPlus 2y ago
Real-talk: using an LLM for CEO-work makes sense for when hard, rational, decisions need to be made (e.g. new divisions, layoffs, expansion, etc) - but CEOs also need to be a leader and inspire confidence in their subordinates - a non-human agent with non-human motivations simply can’t do that.
- listenallyall 2y ago
  I'd expect that AI making top-level decisions would be disastrous for employees, especially in tech. An AI is going to relentlessly push for efficiency, and human talent simply can't be reduced to a single input to measure against cost (salary, benefits, devtools, etc). AI will constantly suggest lower costs and thus fewer people, it has no perception of product quality or satisfaction, and it's always going to question the value of the employees' contributions to building software (or other stuff), especially if those employees are themselves relying on AI assistance.
- Aurornis 2y ago
  > using an LLM for CEO-work makes sense for when hard, rational, decisions need to be made (e.g. new divisions, layoffs, expansion, etc) Hard disagree. Using an LLM for these decisions transforms it into a game of manipulating inputs. If you thought it was bad when people were gaming metrics for performance reviews, imagine the nightmare of a company where everyone is trying to manipulate their work to appeal to the current preferences of the prompts HR is feeding to the LLM. Now imagine the HR people manipulating the prompts to get the answers they want, or leaking the prompts to their friends. Without humans in the loop to recognize when incentives are being gamed it becomes a free for all.
mncharity 2y ago
A theme of pre-LLM computer-human hybrid systems, was one expensive/scarce expert might be replaced by a less-expensive computer-facilitated redundant group of lesser experts. So perhaps imagine something like Kaggle competitions, but for Harvard Business School case studies. Open to LLMs, humans, and collaboratives. A first step might be to create a leadership/managerial LLM test set. I wonder if HBS case studies are in training sets. And whether we can generate good case studies yet. Perhaps use military leadership training material?
6510 2y ago
China beat you to it it seems https://coin360.com/news/ethereum-user-burns-millions-brain-control https://coin360.com/news/ethereum-user-burns-millions-brain-...

tombert 2y ago

Hey that's a topic I can get behind! Most of the big CEOs appear to be CEO of multiple companies (Musk and Bezos come to mind). If you can be the CEO of five different companies, it really doesn't seem like it can be that hard of a job. ChatGPT might be able to do that just fine.

amarcheschi 2y ago
They just work harder and deserve to rule over humanity, nothing to be worried about
apercu 2y ago
And, at least for one of them, they also tweet all day while somehow being invaluable in providing leadership for like 5 companies. At the same time. I can't even successfully effectively juggle 4-5 _projects_ at a time.
- mlboss 2y ago
  Its pretty simple management style....ask what employee did last week. If you don't like the answer then fire them.
Aurornis 2y ago
> Most of the big CEOs appear to be CEO of multiple companies (Musk and Bezos come to mind). Most big CEOs are definitely not in charge of multiple companies. You hear about Musk and Bezos because they’re all over the news, but they’re all over the news because they’re not normal CEOs. It’s well known that Musk’s relationship to his companies is primarily one of ownership and delegation. Bezos hasn’t been in charge of Amazon for a long time but people conveniently forget that at every opportunity. > it really doesn't seem like it can be that hard of a job. It’s funny how often I hear this about AI replacing jobs, with one exception: Everyone who repeats it is highly confident that AI can replace other jobs but once you get to the work they do they’ll stop and explain why it’s actually much harder than you think.
- throwup238 2y ago
  > It’s funny how often I hear this about AI replacing jobs, with one exception: Everyone who repeats it is highly confident that AI can replace other jobs but once you get to the work they do they’ll stop and explain why it’s actually much harder than you think. Call it the Turing-Lovelace Amnesia Effect.
mlboss 2y ago
At that level its more about persuasion and personality than the ability to do the job. High performing CEOs can persuade employees, customers, government, media, investors, suppliers. LLMs still cannot persuade anybody right now but maybe soon.

6510 2y ago

In my vision the automated CEO is able to talk to all of the customers, all of the employees and all the investors simultaneously 24/7. It doesn't have to be perfect, if it is able to do that at all it would dramatically change the game. What is also hilarious is that it has a unit of attention so it can accurately divide it over the audience. A human CEO has few tokens that are extremely hard to divide.

apercu 2y ago

Just about every problem is a leadership problem.

DaiPlusPlus 2y ago

Real-talk: using an LLM for CEO-work makes sense for when hard, rational, decisions need to be made (e.g. new divisions, layoffs, expansion, etc) - but CEOs also need to be a leader and inspire confidence in their subordinates - a non-human agent with non-human motivations simply can’t do that.

listenallyall 2y ago
I'd expect that AI making top-level decisions would be disastrous for employees, especially in tech. An AI is going to relentlessly push for efficiency, and human talent simply can't be reduced to a single input to measure against cost (salary, benefits, devtools, etc). AI will constantly suggest lower costs and thus fewer people, it has no perception of product quality or satisfaction, and it's always going to question the value of the employees' contributions to building software (or other stuff), especially if those employees are themselves relying on AI assistance.
Aurornis 2y ago
> using an LLM for CEO-work makes sense for when hard, rational, decisions need to be made (e.g. new divisions, layoffs, expansion, etc) Hard disagree. Using an LLM for these decisions transforms it into a game of manipulating inputs. If you thought it was bad when people were gaming metrics for performance reviews, imagine the nightmare of a company where everyone is trying to manipulate their work to appeal to the current preferences of the prompts HR is feeding to the LLM. Now imagine the HR people manipulating the prompts to get the answers they want, or leaking the prompts to their friends. Without humans in the loop to recognize when incentives are being gamed it becomes a free for all.

mncharity 2y ago

A theme of pre-LLM computer-human hybrid systems, was one expensive/scarce expert might be replaced by a less-expensive computer-facilitated redundant group of lesser experts. So perhaps imagine something like Kaggle competitions, but for Harvard Business School case studies. Open to LLMs, humans, and collaboratives. A first step might be to create a leadership/managerial LLM test set. I wonder if HBS case studies are in training sets. And whether we can generate good case studies yet. Perhaps use military leadership training material?

6510 2y ago

China beat you to it it seems https://coin360.com/news/ethereum-user-burns-millions-brain-control https://coin360.com/news/ethereum-user-burns-millions-brain-...