Is it really to escape from "getting bogged down in the specifics" and being able to "focus on the higher-level, abstract work", to quote OP's words? I thought naively that engineering always has been about dealing with the specifics and the joy of problem solving. My guess is that the drive is toward power. Which is rather natural, if you think about it.
Science and the academic world
I have always failed to understand the obsessive dream of many engineers to become managers. It seems not to be merely about an increase in revenue.
Is it to escape from "getting bogged down in the specifics" and being able to "focus on the higher-level, abstract work", to quote OP's words? I thought naively that engineering has always been about dealing with the specifics and the joy of problem-solving. My guess is that the drive is towards power, which is rather natural, if you think about it.
Science and the academic world suffer a comparable plague.
It’s totally possible to beat AWS and volume is the way to do it–your admin’s salary doesn’t scale be linearly with storage–but every time I’ve tried to account for all of the costs it’s been close enough that it’s made sense to put people on things which can’t be outsourced.
Sure, you can create a new blockchain, but you probably won't overtake the first and most popular, however good your tech is. Also, your comment suggests, as it is often the case, that new blockchains are created not because they are better than all other cryptocurrencies, but rather as a pump-and-dump scheme, and that's the primary reason the whole field has such a terrible reputation.
In any case, first-mover advantage is another reason why it's highly likely Bitcoin will remain the cryptocurrency with the largest market cap.
The problem is that the things he’s doing are using his office to become an actual billionaire and tearing down protections against abuse and fraud. You don’t fight “institutional rot” by enshrining the principle that loyalty trumps following the law or that policy outcomes can be purchased on the blockchain. Lying about the law and actions by his predecessors similar is building, not lowering, institutional rot by encouraging the idea that cheating is okay as long as you win (c.f. continued lying about election integrity or awarding government funds and jobs based on political affiliation).
It's not a small problem in Canada. Funny was this patient who got rear ended like 8 times in a few years and needed time off and massage treatment every time.
Shameless grifters are everywhere my dude. This victimhood grifiting in the article above has been obvious for over a decade. If you listened to those anecdotes and vibes you would have known this well in advanced.
Anecdotal stuff / vibes are actually really useful. The "scientific" stuff isn't as formal as you might imagine. Going to conferences is a good way to learn that the vibes are what you are going to learn.
You'd think science is supposed to be this amazing rigorous way to do things. But the way you collect the data and the way you do the analysis and the reports you choose to write is anything but. Ultimately because, well, grifters are everywhere.
This seems … reasonable? Car crashes are the leading cause of life-altering injuries in North America and back pain is notoriously hard to prove to the point that a hostile audience can’t say they’re overstated. If you look at case studies from the American opioid crisis, a disturbing number of them start with someone getting in a road or workplace accident and not having a full pain management regimen.
At this point, Bitcoin is fully mainstream and the biggest fools have bought in. People hoped that the Trump election would mean a new giant pot of dumb money (government/tax dollars) would buy bitcoin, but now that they've realized Trump will just issue his own crypto memecoins that bet is unwinding.
I don't see where the buying is going to come from in the future. Every cab driver and retiree and stay-at-home-mom already knows about bitcoin. Maybe Tether prints another imaginary 10 billion dollars to buy bitcoin and prop up the price though, so it could still maintain for a while.
Replacing the employee with a rental robot doesn’t change that: the business is expected to handle training and recover losses due to not following that training under their rental contract. If the robot can’t be trained and the manufacturer won’t indemnify the user for losses, then it’s simply not fit for purpose.
This is the fundamental problem blocking adoption of LLMs in many areas: they can’t reason and prompt injection is an unsolved problem. Until there are some theoretical breakthroughs, they’re unsafe to put into adversarial contexts where their output isn’t closely reviewed by a human who can be held accountable. Companies might be able to avoid paying damages in court if a chatbot is very clearly labeled as not not to be trusted, but that’s most of the market because companies want to lay off customer service reps. There’s very little demand for purely entertainment chatbots, especially since even there you have reputational risks if someone can get it to make a racist joke or something similarly offensive.