None of those customers can afford to cancel their orders. OpenAI, Google and Meta cannot afford to get cheap on GPUs when presumably they believe GAI is around the corner. The first company to achieve GAI will win because at that point all gains will become exponential.
All the AI companies are locked in a death loop where they must spend as much money as possible otherwise everything they invested will immediately become zero. No one is going to pay for an LLM when the competitor has GAI. So it's death loop for everyone that has become involved in this race.
I don't know why you are being downvoted. What you said makes sense to me but I understand I know very little about how companies think. Can someone with a differing point of view elaborate?
I'm the same age as you and most of my friends are remote, on the other side of the country or in different countries, etc, and I maintain contact all the time, for decades. I still have friends from elementary school, middle school, high school, university, and from most of my jobs going back 30 years. I can pick up my phone and call some of my coworkers from 25 years ago without hesitation and we will go for lunch at the next opportune time.
> most of my friends have dropped off or gone crazy
If you find yourself to be the one who is isolated, then I think you need to look inward. My best friends and I share completely polar opposite politics. We have known each other for almost 50 years now. We have had yelling matches over politics, especially during the Pandemic. We have now stopped talking... about politics. We still chat every single day throughout the day. I laugh heartily at least once a day over some extremely offensive joke that one of us sends, usually at each other's expense. But we never, ever talk about politics anymore and we are happier for it.
Maybe you need to rekindle those friendships and see if you can avoid politics. If you can't then I think it's more on you than them and you should reflect on that.
I've worked in enterprise software development with the full lifecycle for over 30 years.
I have found QA to be mostly unnecessary friction throughout my career, and I've never been more productive than when QA and writing tests became my responsibility.
This is usually what has happened during a release cycle.
1) Devs come up with a list of features and a timeline.
2) QA will go through the list and about 1/2 of the features will get cut because they claim they don't have time to test everything based on their timeline.
3) The cycle begins and devs will start adding features into the codebase and it's radio silence from the QA.
4) Throughout the release QA will force more features to get dropped. By the end of the release cycle, another 1/4 of the original number of features get dropped leaving about 1/4 of the original features that were planned. "It will get done in a dot release."
5) Near the end of the release, everything gets tested and a mountain of bugs come in near the deadline and everyone is forced to scramble. The deadline gets pushed back and QA pushes the blame onto the devs.
6) After everything gets resolved, the next release cycle begins.
This is at quite a few enterprise software companies that most people in Silicon Valley have heard of if you've been working for more than 10 years.
What sort of risk of environmental poisoning comes from having that many solar panels in an area? Is there any risk that it can contaminate the area or are the environmentally safe?
I speak this having lived south of Moffett airfield where the entire area was poisoned from the degreasers used on the military planes in Moffett Field. It's one of the largest Superfund sites in the US and there are thousands of families living there. It might seem innocuous but I'm wondering whether solar panels in the environment leak any chemicals.
I just used ChatGPT to diagnose a very serious but ultimately not-dangerous health situation last week and it was perfect. It literally guided me perfectly without making me panic and helped me understand what was going on.
We use ChatGPT at work to do things that we have literally laid people off for, because we don't need them anymore. This included fixing bugs at a level that is at least E5/senior software engineer. Sometimes it does something really bad but it definitely saves times and helps avoid adding headcount.
Generative AI is years beyond what I would have expected even 1 year ago. This guy doesn't know what he's talking about, he's just picking and choosing one-off articles that make it seem like it's supporting his points.
Is there no worry in giving the app your password? I would never just give my password, especially my Apple account password to a random app. Is this program reliable? However it looks like a program that I want to use.
It's treated as "good enough", and now the the second generation of SWEs, PMs, and AEs are getting hired I've seen their parents (a large number of whom are now mid-level leadership in most tech companies here in the Bay) increasingly lobby to include these "lower tier" UCs to the recruiting pool.
My point is, for the younger generation a university's societal eliteness just isn't a strong predictor for success, and I strongly believe data will back up this observation within the next decade (there's usually a 5-7 year delay on data gathering in the social sciences, eg. Data from 2018-22 is only now starting to be analyzed).
UCR is where you want to go if you're going for Geology or Ag/Hort, you aren't really trying to go there for SWE or EE, it isn't exactly known for those sorts of programs.
Source: I live right next to their citrus and asparagus test fields and often visit their geology building to use their XRD and XRF systems.
Every school has increased tuition without substantially increasing the number of students. What you are seeing is that schools are getting thousands of students that are exactly the same which is why admissions is turning into a lottery system. It's basically like a CPU maxed out at 100%. There's nothing you can do except build more schools and increase the number of students otherwise it will continue to be a lottery.
The schools that went test-optional already have switched back because this actually gives lower income students the best chance to distinguish themselves. The narrative that lower income students with less opportunities would benefit from not submitting SATs turned out to be false.
All the AI companies are locked in a death loop where they must spend as much money as possible otherwise everything they invested will immediately become zero. No one is going to pay for an LLM when the competitor has GAI. So it's death loop for everyone that has become involved in this race.
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