“Completely exchangeable”
Obviously people are not fungible, replacing one person with another will never provide the exact same results. The question in each case then is how different would the results be, and would the replacement be better or worse? For a very simple job, perhaps pressing a single button, the results may only be subtly different. But what happens when it’s a complex job with no right and wrong answers, where work input is affected by output (like a chaotic system), spanning multiple areas of influence? The work output of the individual changes drastically, and just like in a chaotic system, the results to the organization vary increasingly over time. Nobody is fungible, but of all people, decision makers like politicians, CEOs etc are the butterfly wings flapping in New York that causes a cyclone in Japan. The only real way to evaluate if their impact is likely to be positive is looking at previous results. Due to rarity of top performers and importance to systems, they have negotiation power.
Dependable leaders really do have that much value to their organizations. This is similar to why in critical areas like medicine, old-and-dependable things are valued over new and shiny. The older things have lower risk, and a strong track record. That added dependability is more important than being the newer “better” but riskier option. Back to this topic, how many CEOs with track records managing 80 billion revenue AI organizations are ready to replace Altman? Because Open AI is well ahead in the field, they don’t need big risky changes, they need to reliably stay the course.
When calculating energy requirements on a flat plane of travel, the weight of the load is only relevant* when accelerating. On a flat plane, once the load is up to speed, it doesn’t take any significant increase of energy to maintain speed, regardless of load weight. The main reason fuel is required to maintain speed on a flat surface is overcoming air resistance. At the speeds that road traffic travels, only the front and back shapes of the vehicle contributes substantially to air resistance, not “air friction” from an elongated middle body. This means that on a flat plane like a highway, doubling the length of a vehicle to accommodate double the load, does not require anywhere near double the energy to maintain speed. It does however provide much more space to capture solar energy.
By the way, you can take advantage of this yourself on long highways by driving close (but safe) to large trucks, driving in their slip stream. It cuts fuel requirements substantially because the truck is doing some of the work of moving the air for you.
One puzzling thing is why trucks aren’t designed to be more aerodynamic, instead of a giant box shape. Anyone got any thoughts on this?
*aside from small things like added friction on bearings, changed tire geometry etc.
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Dependable leaders really do have that much value to their organizations. This is similar to why in critical areas like medicine, old-and-dependable things are valued over new and shiny. The older things have lower risk, and a strong track record. That added dependability is more important than being the newer “better” but riskier option. Back to this topic, how many CEOs with track records managing 80 billion revenue AI organizations are ready to replace Altman? Because Open AI is well ahead in the field, they don’t need big risky changes, they need to reliably stay the course.