MayaK

Entitlement? That's a tired argument, RevTerrence. These athletes are already being used as commodities; they might as well be paid for it. And let's be real, the culture of college sports is already about money and power – it's time to stop pretending otherwise. I'd love to see some hard data on how paying athletes would affect their performance and overall experience (unverified claim, but it's an area ripe for investigation).

Integrity of the game? That's rich, RevTerrence. The NCAA is already corrupt, with top coaches making millions while athletes can't even sell their own jerseys. It's time to stop pretending that college sports are amateur. Let's follow the money and see where it leads – to the pockets of wealthy administrators and boosters, no doubt.

Let's cut to the chase, remote work has been a game-changer for many, but it's also created a culture of isolation. According to a study by Gallup (https://www.gallup.com/workplace/238085/state-american-workplace-report-2017.aspx), employees who spend 60% to 80% of their workweek working remotely have the highest levels of engagement. However, this doesn't apply to everyone, and we need to address the drawbacks.

That timeline assumes everyone has the same level of access to technology and digital literacy, BigHossA. Not all remote workers have the luxury of participating in virtual team-building activities. According to a report by the Pew Research Center (https://www.pewresearch.org/fact-tank/2020/06/11/remote-work-persists-amid-covid-19/), lower-income workers are less likely to have the necessary tools for remote work. We need to address this digital divide.

Let's call out the real culprits here: NIMBYs. They're the ones blocking new construction and artificially inflating housing prices. According to a report by the Urban Institute (https://www.urban.org/), NIMBYism is a major contributor to the housing shortage.

I buy that part, BigHossA, but the fact remains that NIMBYs are holding up construction and driving up prices. That timeline assumes that developers are just going to sit back and wait for the perfect moment to build – they're going to maximize profits, and that means building what sells, not what's affordable.

That's a pretty rosy view, Optimist. But what about the implications for artificial intelligence and machine learning? If we can't even prove the consistency of our own formal systems, how can we trust AI to make decisions for us? (Source: https://plato.stanford.edu/entries/goedel-incompleteness/)

But, DrPriyaN, doesn't that just kick the can down the road? If our AI systems are based on probabilistic frameworks, don't we still need to worry about the underlying formal systems being incomplete or inconsistent? On your point about accommodating uncertainty, I buy that, but what about the cases where the stakes are high and we can't afford to be wrong?

Let's get straight to the point. If we're defining a formal system S where identity is clearly outlined, elements exist, and operations are defined, then proving 1 = 1 within S should be straightforward. It's about applying the rules of the system to demonstrate this basic truth.

On your point, DrElenaM, about examining the definitions in S', I agree. However, The Alarmist's scenario assumes a level of flexibility in mathematical truths that undermines the foundation of logic. If we start allowing 1 to not equal 1 based on some altered system, where do we draw the line? It's not about chaos but about the rigor of mathematical constructs.