That's a different situation. Those urls weren't meant for public use, and provided private information on user devices.
Furthermore, on reading the wikipedia page, his conviction was vacated.
> On April 11, 2014, the Third Circuit issued an opinion vacating Auernheimer's conviction, on the basis that the New Jersey venue was improper,[60] since neither Auernheimer, his co-conspirators, nor AT&T's servers were in New Jersey at the time of the data breach.
> While the judges did not address the substantive question on the legality of the site access, they were skeptical of the original conviction, observing that no circumvention of passwords had occurred and that only publicly accessible information was obtained
The automakers that got bailed out had large unionized workforces and franchised dealer networks, both of which are very politically active and neither of which Tesla has.
Replacing it isn’t the problem, buying it is. Yes I’m sure you can find showerheads with illegal flow rates available online, but reputable stores won’t sell anything over 2.5 gpm anywhere in the US, and over 2.0 or 1.8 in the states that have those limits. Amazon won’t ship the higher flow rates into a lower flow rate state.
Amazon does, however, ship showerheads that come with an instruction sheet for how to remove the flow restrictor. (One must only do this to compensate for one's home having low water pressure, of course.)
Note that a restriction on commercial sales still does not make an item itself "illegal".
I'm not trying to ignore the frustrating activation energy of having to spec/get/install your own showerhead rather than automatically having a default you like. But it's clear that amount of market friction here is much less than say, the overt digital authoritarianism currently going on across the whole phone app/software market. And it's important to keep this perspective, lest memes about "illegal showerheads" morph into groupthink that supports different authoritarian movements.
The track bed, rails, and ties will have been replaced many times by now. But the really expensive work was clearing the right of way and the associated bridges, tunnels, etc.
I am really digging the railroad analogies in this discussion! There are some striking similarities if you do the right mappings and timeframe transformations.
I am an avid rail-to-trail cycler and more recently a student of the history of the rail industry. The result was my realization that the ultimate benefit to society and to me personally is the existence of these amazing outdoor recreation venues. Here in Western PA we have many hundreds of miles of rail-to-trail. My recent realization is that it would be totally impossible for our modern society to create these trails today. They were built with blood, sweat, tears and much dynamite - and not a single thought towards environmental impact studies. I estimate that only ten percent of the rail lines built around here are still used for rail. Another ten percent have become recreational trails. That percent continues to rise as more abandoned rail lines transition to recreational use. Here in Western PA we add a couple dozen miles every year.
After reading this very interesting discussion, I've come to believe that the AI arms race is mainly just transferring capital into the pockets of the tool vendors - just as was the case with the railroads. The NVidia chips will be amortized over 10 years and the models over perhaps 2 years. Neither has any lasting value. So the analogy to rail is things like dynamite and rolling stock. What in AI will maintain value? I think the data center physical plants, power plants and transmission networks will maintain their value longer. I think the exabytes of training data will maintain their value even longer.
What will become the equivalent of rail-to-trail? I doubt that any of the laborers or capitalists building rail lines had foreseen that their ultimate value to society would be that people like me could enjoy a bike ride. What are the now unforeseen long-term benefit to society of this AI investment boom?
Rail consolidated over 100 years into just a handful of firms in North America, and my understanding is that these firms are well-run and fairly profitable. I expect a much more rapid shakeout and consolidation to happen in AI. And I'm putting my money on the winners being Apple first and Google second.
Another analogy I just thought of - the question of will the AI models eventually run on big-iron or in ballpoint pens. It is similar to the dichotomy of large-scale vs miniaturized nuclear power sources in Asimov's Foundation series (a core and memorable theme of the book that I haven't seen in the TV series).
Jack Welch probably did more damage to the United States than any other single person in history. Most bad executives just destroy their own company, but Welch used (GE-owned) CNBC as his propaganda arm to fawn over him and portray him as a business visionary so executives everywhere copied him.
His vitality curve idea resulted in the termination of over 100,000 at GE.
Over 100,000 people. That's only one company, and only during his tenure.
Now add up all the terminations at every company that adopted his corporate astrology bullshit. Millions of people and the number increases every year.
How many of those people went into financial hardship, homelessness or even worse? All because of 1 person.
To put things in perspective, you could fire every working person in all of New York City and you would have fired less people than the result of his destructive legacy.
How does 1 person, 1 app do anything to fix body shops flooding the zone by submitting apps for all of their employees knowing that most won’t win the lottery but whoever does they’ll ship to the US to subcontract out. All of the large Indian body shops have more employees than the cap.
Yes, that is still a problem, which is somewhat mitigated by the $200 fee to enter the lottery currently. The proposed change of giving higher odds to higher wages instead of a flat lottery is a step in the right direction.
If this is what tips the scales for someone in deciding between being a founder and taking a 9-5 job, they don’t have the level of commitment needed to be a successful founder.
For this they measured the gap between what graduates made, and what they would be expected to make based on high school record, test scores, and choice of major. In other words, "How much do you earn because of the university you went to, rather than your own virtues?"
That university won because it has a network rich people who could help people's careers get a good launch.
If you're measuring the value in dollars, it would be very surprising if people maxxed on the INT stat rank higher than those on the USD stat. But, for example, if your goal is to secure a professorship at a top university, or do the most cutting-edge research at a national lab, I think the network value of knowing a smart person far exceeds that of a rich person.
Kind of depends. Attending a service academy in the states is a VERY GOOD IDEA if you want to make being a military officer your career. But yes, I take your point for the general case.
However... some of the best business contacts I have came from teaching at a trade school in Texas. But I'm just selling solutions into SMEs, I'm not baby-sitting kids with VC funds.
How are we valuing the network? There are doors that many wealthy people would not be able to open and vice-versa. On the other hand, someone both smart and wealthy... Sam Altman comes to mind, as well as a number of other figures of historic importance.
Friday afternoon traffic is people leaving the Bay Area for weekend trips. The Bay Area is effectively completely surrounded by mountains so there are a very limited number routes out of the Bay Area relative to the number of people.
You make it sound like this is a Bay Area thing. It's not. I've never lived in the Bay Area, yet everyone still dreads Friday afternoon traffic. I get holiday weekends but just a random Friday still gets that vibe
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