The Peter Principle

The Peter Principle is a management concept formulated by Dr. Laurence J. Peter in his 1969 book “The Peter Principle: Why Things Always Go Wrong.”

The principle states: “In a hierarchy, every employee tends to rise to their level of incompetence.”

Employees who perform well in their current role get promoted
They continue getting promoted as long as they perform well
Eventually, they reach a position where they’re no longer competent
Once incompetent, they stop getting promoted (they’ve “plateaued”)
They remain in that position, performing poorly

This means that over time, every position in a hierarchy tends to be filled by someone incompetent to do that job. Peter observed: “In time, every post tends to be occupied by an employee who is incompetent to carry out its duties.”
And therefore: “Work is accomplished by those employees who have not yet reached their level of incompetence.”

The key insight is that competence at one level doesn’t guarantee competence at the next level. For example: read more

LinkedIn: Audrey AK!13

AI Data Crisis and Failed Markets

This is a nice short paper/read on how (relatively) small the training data for AI systems are, and due to data moats and hoarding, advances in AI models may start to become limited.

When a data owner shares a piece of data, the owner loses all control over how it will be used, copied, and shared further. When the owner sells a piece of data, they don’t sell the original data — they sell a copy. When a dataset is copied, the global supply goes up, the price goes down, and every customer becomes a competitor for the future sale and use of that data.

This is a nice paper covering this topic and other elements of the AI data crisis.

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