You still have choices.
Variable names are pretty free form.
A switch statement or if/else might be a choice that achieves the same thing. Waffling between them would be highly suspect, since a person isn't going to be so wishy washy. So you could use structural choices too.
AI code tends to look more obviously AI than prose anyway.
Well, they got the 1 off-site bit...
You don't have a car. Do you receive packages? If you called for medical help, how would it get to you? Most folks if they don't have a car at least want option for a bus, which requires roads. We can't build rail to reach every household (you said freeway next to your home, so that doesn't sound like it's a very downtown situation).
Perhaps there shouldn't be as many cars on it as you deal with, but the roads themselves..
On the Flock cameras, pretty much agreed.
Data centers are a bit more interesting. Sure the land itself is "find a willing landowner or handful in a sea of any land that would be equally ok", but then you have supporting infrastructure. Perhaps not as large of a route to secure, and more flexibility to make pretty sharp turns and such, but still lots of room for people to get in the way of a critical dependency. So surely the datacenters are having issues getting power to their facilities in the face of so many people around their property not wanting to give up their land right? No solution for that.
Oh yeah, if they won't sell their property to facilitate it, the government will just take it over: https://www.washingtonpost.com/ripple/2026/07/16/when-can-a-power-company-take-your-land-for-a-data-center/
So yes, in both datacenter and train, people can make it very hard to get things done. Somehow they find a way for the datacenters...
Dude lamenting women not being attracted to intelligence checks out as he use a picture that clearly focuses on a woman's intelligence.
Hence why openAI seems now to want to stall IPO as long as they can...
And you are right, they singlehandedly are most of the problem despite not even being in the strongest position even if you are bullish on AI.
He is technically correct, the best kind of correct!
Volumes are going to be down, but they want the same revenue, so they increase unit price, comfy in the reality that it will still be, percentage wise, not worth it for most to care. Will it make it unaffordable for some? Probably not appreciably more than the hardware is doing all by itself.
So in short, it is just because they can.
Not just that, but had to be born after 1945 to be considered "Boomer". Clearly time travelers
In the same way it’s accurate to call the human brain a prediction machine
I have seen no evidience presented that the human brain is simply making statistical predictions.
This seems to be a relatively new thing some people are asserting, because they see the LLM behavior and have decided that absolutely it looks so human like it must act the same, and since we understand that LLM is fundamentally statistical prediction of a token, then obviously human consciousness must operate on the same principle.
Even the latest models generate the sort of mistakes that stem from the fundamental limitations. A lot has been done in some contexts for making that not matter so much (e.g. in software development, the strategy is that code may have some verifiable goal, and the models can let the mistakes fly, then take the feedback from the goal, and iterate more). So it still can be very useful, but clearly it isn't human like because of some of the completely dumb behaviors that result from it not actually thinking about it. It is at it's best when either mistakes don't matter (particularly fiction) or at least first mistakes don't matter and can be automatically reconciled with facts.
By nature, the meme examples will get better because everyone talks about it and suddenly having all that discussion in training data and in search results, the statistics fix. However the operating principle behind them remains the same.
LLM output makes everything stupider, even LLMs.
Yeah, but you'll have to submit to every known provider and hope the user used one of the ones that provide this checking service, and didn't do something like ask a local model to just randomize synonyms in a text.