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If they’re using Python, performance isn’t high on their list of requirements.

1a. They may have thought they knew what they were doing, but their work product shows otherwise.

1b. They may have thought they knew what they were doing and spoke confidently enough to convince whoever was doing the acquisition, likely non-technical, of the same, but the bad hire and the bad hire’s work product shows that neither was the case.

2. Ideas merely exist. To be constraints, they must be enforced.


1a & b. Sure, but you wouldn't know that ahead of time. You'd have to wait until they finished the app.

2. It was enforced, just at a higher level (expensive fines triggered by customer complaints). A good engineer broke down and actually applied the constraints in a preventative way.


This is a surprising result. With structured inputs like source code, I’d expect grep to outperform semantic search, but natural language’s errors and inconsistencies seem to leave so many cracks for information to fall through.

This paper is based on quality so I don't think it should be that surprising if you take loops into consideration. What the agent finds in the first pass, can help if formulate the next grep if needed.

What about the wizard hat?

The distinction is subtle.

Someone learning to fly may be described as paying careful attention: to every little sound, vibration, and sensation. A common tactic by student pilots is overcontrolling the aircraft, e.g., large sudden changes rather than smooth pressures from flying with a light touch.

Automation requires active, intentional attention particularly when flying in clouds. What are my instruments telling me? Are they all telling the same story? Have any failed? Which ones?

A significant part of flight training and testing emphasizes the ability to divide attention between multiple competing needs, being able to correctly prioritize them, and responding promptly and safely in order of priority.


The circumstance doesn’t have to be that dramatic to be abnormal.

Landing after a merely unstable approach, too many significant changes too close to landing, increases risk.

Landing too fast may result in overrunning the end of the runway, pilot induced oscillation, or loss of control. Energy being proportional to the square of velocity means the margin doesn’t have to be huge to pose significant danger. Landing too slow risks an aerodynamic stall or worse a spin, which at low altitude is nearly certain to be fatal.

Landing safely with a crosswind requires technique changes. Too much crosswind or “running out of rudder” is extremely dangerous.

Landing after accumulating airframe icing is triply bad because the ice reduces the control surfaces’ aerodynamic effectiveness, makes the airplane heavier, and requires a faster landing.


The FAA describes taxi, takeoff, landing, and operations other than cruise flight below 10,000 MSL as critical phases of flight because of increased risk. The aircraft is closer to the ground, other aircraft, and hazards such that prompt, correct responses are essential to the safe outcome of the flight.

Any equipment on the aircraft can and will fail. Becoming dependent on autoland — not a worry on most general aviation aircraft — is terrible risk management. Every pilot must maintain hand flying skills. Automation is nice and reduces workload, but the pilot must actively manage it.


This is an example of risk compensation. When people perceive greater protections around themselves, they tend to become more aggressive at the margin, such as with the driving habits that you mentioned or hitting more violently in American football because of improvements in helmets and padding.

https://en.wikipedia.org/wiki/Risk_compensation


Football might be a weak example, because being able to hit harder is an overwhelming competitive advantage. A player who acted like they were not wearing a helmet would be effectively dysfunctional.

In contrast, most careless driving habits don't actually get anybody to their destination any quicker.


> “It would not be an exaggeration to call these criminals capitalists,” he concludes, “even if their idea of making money was more literal-minded than the bankers whose notes they imitated.”

Counterfeiting is fraud, not capitalism. Even a so-called “lender of last resort” cannot exist under capitalism, but only under a system of dirigisme or worse.


A step-by-step patient playbook for paying what's fair — and not a dollar more.


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