True, but it's the range from different analysts. Saying "we don't know" isn't really an option. Gotta say something when your IPOing a trillion dollar company.
Yes, people expect it to trade much lower, around $40 per share, still would be a huge valuation for what the company has done. Goldman Sachs analysts had an extreme range, of like $6 Billion to $5T, but the consensus $2T required 100x revenue multiple by 2030. If revenue was less than 10x by 2030 it's less than $100B company, and only $6B if it remains flat. So a lot of downsides and the upside requires a continuation of some insane magic.
I have the opposite, because I'm now getting things clients generated that they want me to implement. It's definitely more work and money for me, but it's concerning somewhat because ultimately it's not good for their business. It takes me longer to implement this kind of stuff than it would for me to code it from scratch. That is in a working way, the AI generated code has far more bells and whistles, but also layers and layers of needless complexity that quite literally add no value as in they aren't even a factor of the finished output.
The problem is they are now paying me more, plus paying for the cost of using the AI, and the needless complexity also slows down the employees. So more costs there as well, any future debugging is going to cost far more and at the end of the day they are getting less quality on the core function but far more presentation data that is essentially meaningless.
It's basically a formality now to get a prescription for what you read on WebMD. Every Insurance has telemedicine, you just call, read the symptom list and get the prescription. Some even let you just email. There's a doctor or at least person with subscribing ability in the loop, but they are barely doing more than rubber stamping hundreds of requests per day.
Great analogy and really good points. I'm hopeful for a "slow pop" on the bubble though but we'll see! Very nice and so much easier to actually read a non-ai generated article too.
>There are high school students graduating who cannot do math.
Then the problem is that they are graduating, no? We need to address the fundamental issues in schools, if there is no consequence to poor grades and you can still graduate without doing math then what's the point of even having school and doing math. I'm not even against AI tutors, though I'm not even sure really why there needs to even be an "AI" component, just computer learning aides seem reasonable. But if we can't figure out how to improve education with computer learning aides yet I don't really see how AI is going to improve the situation. It's just a more expensive way of doing things.
I keep seeing lines like 40% of 8th graders can't read etc.. then they shouldn't be in the 8th grade. Although IME with my kids, nieces, nephews etc it doesn't even seem true as they are all learning much more than I was at the same age.
If you work in industry, at a place that pays developers $85K, you are very unlikely to be part of some sort of downsizing. This is entrenched company territory and the kind of place that just goes about it's business, not trying to hang the moon or "ramp up" areas. Yeah they can be subject to wider economic influences, but at tech companies layoffs happen just because of a change in the wind while profits are breaking records.
Like there's a place near me, I don't even think they would pay $85K though. Maybe for higher positions, but closer to $70k. They are pretty much always hiring lots of IT positions. They make firetrucks and pretty much only sell them regionally, but are set with orders for like 25+ years. Their low skill positions fill up fast though.
And yet, the majority of people in those cities make less than that amount. Like Charlotte the median HOUSEHOLD income is $82K. Median wage is ~$53k. As someone making below the median, I don't understand how people are making so much more money and not feeling rich. We have house, boat, golf carts, kids in private school, decent cars, take multiple vacations. We didn't even get lucky and buy cheap housing with low interest, our interest rate is 7.5%. We certainly aren't stacking lots of savings and sometimes have to juggle bills, but we have a lot going on and aren't even making the median right now. But once you drop much below our level, if you don't own anything you actually get a lot of assistance.
It's kinda logical. Most people, individually, have a somewhat unique writing style. So if there's one set of writing that's very formulaic and consistent and you build an averaging machine it's going to converge on that formulaic style because everyone else's writing style is going to be much closer to n=1.
So annoying, I'm dealing with a client that just constantly feeds my responses to their question into AI. Which of course just asks more questions and tells me how clever I am. I also know the client isn't reading because in many spots I put "[Client Name] you need to answer this directly as we need to know the actual real business detail" and its ignored or the AI provides a detail I know is made up.
I mean, not surprisingly, this is entirely geographic and system dependent. Do your high school teachers (or elementary) have to wear body cameras, practice administering narcan, and how to clear the chamber of a discovered gun, or do they get to 3D print parts for their classroom and go on field trips?
If the work has the potential to cause a mental disturbance then you want the baseline to be fairly close to normal. If the guy that gets gore boners is tasker with looking at disturbing content all day and then had some sort of mental break it would probably be a lot worse than what a normal person might end up doing.
Yes, but that's why you use the line up. You don't just show them random people that look like what they described.
It's like, the suspect was a white guy with brown hair in a blue car, and then you get all the white guys with brown hair and blue cars that were in the area and present a line up of them with similar looking people but not having blue cars and being in the area.
That's the basic tenet of bureaucracy. A formalized way of doing something when nothing actually needs to be done but in a way that you can notice and respond to things that actually do need doing.
Pretty much anytime in the past, but mainly industrial revolution, up until an inflection point sometime in the 1970s. While many major areas of knowledge work have suffered from becoming profit focused the advancement of technology for societal advancement is still in existence today, even many of the major AI involved researchers have done so irrespective of monetary gain and at least make the claim that much of the push for capital is simply as a necessary requirement to sustain the research as costs increase exponentially. That's one of the reasons long tail AI profitability is dubious, but also a indicator of the aforementioned risk. If capital becomes the primary driver, i.e. self advancing AI, then it's very unlikely to be continued in any way for the sake of benefits to humanity.