Generally speaking, with humans there's more guardrails & responsibility around letting someone run while in an organization.
Even if you have a very smart new hire, it would be irresponsible/reckless as a manager to just give them all the production keys after a once-over and say "here's some tasks I want done, I'll check back at the end of the day when I come back".
If something bad happened, no doubt upper management would blame the human(s) and lecture about risk.
AI is a wonderful tool, but that's why giving an AI coding tool the keys and terminal powers and telling it go do stuff while I grab lunch is kind of scary. Seems like living a few steps away from the edge of a fuck-up. So yeah... there needs to be enforceable guardrails and fail-safes outside of the context / agent.
The bright side is that it should eventually be technically feasible to create much more powerful and effective guardrails around neural nets. At the end of the day, we have full access to the machine running the code, whereas we can't exactly go around sticking electrodes into everyone's brains, and even "just" constant monitoring is prohibitively expensive for most human work. The bad news is that we might be decades away from an understanding of how to create useful guardrails around AI, and AI is doing stuff now.
> Did Britain start out with the same gauge as India?
No. There was some small lines in Scotland using the same gauge as India, but Britain had a bunch of different gauges and eventually standardized on 1435mm ("standard gauge") as that was the most common one.
I don't recall where I read it, but IIRC there was some motivation that they wanted a broader gauge for India because they were afraid cars would topple over during storms. Or something like that.
> Also, what's going on in Australia?
Each territory built its own railway, with no thought about eventually building a cohesive continental network. In some cases narrow gauge was chosen because it was thought to be marginally cheaper than standard gauge.
I wonder if this decline means the public health campaigning and lessons about drinking/smoking/drugs prevention made a difference?
As 1 data point, I have a cousin who is 17, and I am 35.
As a 17 year old, she's been taught the dangers of cigarettes, that drinking is bad, and to avoid drugs for a number of years already.
I'm not saying this is bad... it just feels like previous generations (Millennials, Gen X, Boomers, etc) did not really go into the informational side about the risks of drug use from a personal level, and moreso approached don't do drugs like an episode of COPS, which focused more on the risk as a scare tactic.
I'm one of those people that growing up, was bombarded with negative talk about drink, drugs etc.
So I took more.
And will continue to do so.
Guess my age?
I give my kids my* advice. One had a 6 month period of getting fucked up, and now doesn't touch anything. Another, 'doesn't inhale', and has never touched alcohol.
They have also learned to shut the fuck up when being lectured by some teacher that is parrotting (sp?) the party line, and they howl at the 'touch drugs snd you'll become an addict' government bullshit.
My conclusion?
1/100: Scientists need to be young now to understand,
At a personal level, it feels better to have something of your own to hold on to instead of someone else’s, so I think beaucrats will also respond accordingly.
In a way, we’ll probably see more cloud fragmentation in the future, especially as other countries develop their IT sectors more and feel like they want more control over their own infrastructure, and whatever tertiary benefits can be extracted from that.
Relationships don’t even have to turn sour, there just has to be enough protectionism and popular appeal to support it. Just like saying “build it here”.
Let‘s not call it „cloud fragmentation“ please. It’s cloud competition. Cloud is an utility and probably should resemble energy market regarding the choice of suppliers and simplicity of the switch.
IMO, I'd expect to see more international D2C start eating the lunch of US retailers as the D2C companies see they can make more money and still offer lower price points.
If the main value proposition of retailers is importing goods they don't produce and marking them up to sell to Americans, that's a shaky business model, especially in the age of ecommerce.
Mass shippers like Aliexpress already stopped using ePacket.
Ali has their own Cainiao. The big companies realized if they do the Amazon model and build their own logistics network for cross-Pacific sea/air freight, the long-term savings are huge.
Even within the US, Amazon already has planes, trains, and automobiles. Why pay USPS and be at the mercy of government bureaucracy when you own your own integrated logistics stack.
Even if you have a very smart new hire, it would be irresponsible/reckless as a manager to just give them all the production keys after a once-over and say "here's some tasks I want done, I'll check back at the end of the day when I come back".
If something bad happened, no doubt upper management would blame the human(s) and lecture about risk.
AI is a wonderful tool, but that's why giving an AI coding tool the keys and terminal powers and telling it go do stuff while I grab lunch is kind of scary. Seems like living a few steps away from the edge of a fuck-up. So yeah... there needs to be enforceable guardrails and fail-safes outside of the context / agent.