And even worse, they don't think probability is a thing. If something happens, it was certain to happen and we just failed to predict it correctly.
So when someone predicts something will happen with a 90% probability, and then the 10% chances happens and the predicted event does not happen, people will talk about what a bad prediction that was and how they were clearly wrong.
It's the same logic that causes people to say vaccines don't work because they don't stop a disease with 100% effectiveness, or that there is no point to wear a seatbelt because people still die while wearing one.
Oil changes cost like $35/year if you do it yourself. Decent tires last 4-5 years, so that's like $100/year (to be generous). Air filters are so cheap and need replacement so infrequently as to not even be worth counting.
I can only get 1-2 years out of tires, but I also drive 25K+ miles a year. (And its a heavy EV Van) Tires are $800ish a set for the affordable ones (also due to heavy van)
Cabin air filter is twice a year at $18 a filter (I replace them as soon as it smells weird)
The increased frequency of tire changes for EVs is not something I realized when I bought an EV. Those batteries are heavy, and put a lot of extra wear on the tires.
Another factor is that brake-regen is putting additional stress on two tires if it is a single motor car. So they get a lot of workout accel/regen if you aren't using your brakes as often and driving economically to regen as much power back as possible.
Plus how fun it is to get going in an EV leads to a lot of extra tire wear.
I've found that rotating my tires more often helps spread the wear out from having a single motor EV.
Ah yeah, I avoid cars/vans I can't use in normal economic ways. I need them damn tires to last as long as possible. And base model trims for less shit to fail.
Even with "expensive" electricity, and using your worst case scenario, it's still usually cheaper to charge 400 mile EV from 0-100% (another worst case scenario), than it is to fill up an equivalent gas vehicle. Even before the current gas prices spike.
But let's use your "worst case" scenario.
Worst case 300 mile EV charge (100%, during peak hours): about $50
Filling up a highly fuel efficient ICE vehicle: about $40
Of course, if you only charge the EV to 80% (as is recommended, and more efficient), and only set it to charge it off-peak (as is normal), then the numbers are much better. There are, of course, worst case scenarios, but it's actually hard to make an EV more expensive than an ICE vehicle.
I would say that to charge an EV with a 350 mile range to 300 miles would be about $25 here in California. Right now, a 300 mile range tank of gas is easily $60 or $70.
You have to lose the old mindset of a gas vehicle, ie, you "fill it up" once. EVs are much more convenient: it takes 10 seconds to plug it in when you get home and then the next day it's fully charged - and they're almost all grid pricing aware.
Like, on my BMW PHEV, if I try to fast charge during peak times, the charger actually makes me confirm i want to spend more, instead of trickle charging until 8PM.
An oil change is quick, like 30 minutes. If I grab a granola bar instead of sitting down for breakfast and then instead use that time to do the oil change, the time expenditure is basically a wash.
yep, it's dirt cheap to maintain yourself. and only a few hours per vehicle per year tbh. lots of people on hn don't know basic real life skills so this all seems insurmountable to them, and there's the ev cope that somehow your 60+ grand car is going to save you money in gas and maintenance in the long run. I have 8 cars and motorcyles for less than the cost of that one car lmao
Oil changes are cheap. A lot of places will put your tires on for free or cheaply if you buy tires from them. Assuming the car is free, the cost of car ownership is dominated by gas, insurance, and the raw cost of materials needed to maintain it. Whether you do it yourself or have someone else do it isn't going to move the needle much.
> Claude Desktop spins up a VM without no way of stopping it
I frequently make this error when I talk. My brain thinks of different ways to phrase what I want to say, but when I speak it starts with one and finishes with another. The result is almost always wrong in the way the title is, ie some variant of a double negation.
Sometimes it happens when I type, though I try to read it multiple times so often catch it.
When you realize that in some languages, for instance, in Spanish, double-negatives are not just tolerated, but correct, it helps you to let go of this particular type of pedantry when it accidentally appears in an English sentence.
This question is answered by the post? There is reportedly actually no way of stopping it happen. Perhaps the poster had a brain fart while typing it. Maybe they speak a different dialect of English from you.
Many kinds of double negative are acceptable in many English dialects, and are interpreted as emphasis. The negatives add, rather than multiply. (Though I admit I myself don't speak such a dialect, hence the equivocation.)
> When we ask for a fiction or novelty, the AI can give it to us because its processing is in part stochastic. Every decision can go multiple ways and will go different ways and produce a different trajectory every time. The trajectory can be random—and thus novel—or it can be based on the training data—and thus “good” because the training data is good, sourced from people or reality. Thus, the trajectory is either novel or good—based on randomness or based on data—but never both at the same time.
This doesn't seem true? You can be both random and based on training data.
I think they meant more "it can be extrapolated or interpolated" or "it can be high variance and 'creative' or it can be low variance and 'reliable/correct/likely'". If you want to see something new, the model will need to step off the manifold. But the manifold is where you've learned the "correct" solutions live.
That is exactly the point of the ruling, though... they are saying that AI summaries are NOT the same as search. If Google was just returning search results, and then users clicked on a website and read the content there, Google is not responsible for the content.
If instead Google gives you an answer right there on google.com, without going to another site, they ARE responsible for it.
Not precisely. The issue at hand isn't just that Google displayed the AI summary, but that they authored it, making them responsible for its contents. If the defamatory content had been in a snippet in the search results, they would've been fine, because that clearly has another author who can be held responsible. The AI summary has no other author than Google; therefore, they're responsible for what it says.
(What's the alternative, after all? Having no one responsible for what the AI summary says is clearly untenable.)
What don’t you understand? Those websites that defame a company are liable for that defamation. In this case Google defamed a company in its AI summary and is this liable for that defamation.
but if Wikipedia itself writes harmful content such as encouraging people to drink bleach, then wikipedia is liable. Google now generates its own content with AI, that defame others, so Google is liable.
And those tons of websites are liable for their misinformation. It's probably not worth suing some random blog because the author probably doesn't have money or lives in Russia. But Google has lots of money and a legal presence in almost every jurisdiction.
It's why people say "Donald Trump was held civilly liable for sexual assault in the E Jean Carroll case" instead of "Donald Trump raped E Jean Carroll"
The CLI when you select it says it has 2x the usage as opus. Not sure if that matches what you are seeing.
I do wonder if you switched models mid-session, you would have lost all your cache. Reloading the context into cache can really eat through your usage.
I have been using both codex and Claude in my day to day, trying to not get to attached to one. I want to be able to work with any provider in case one of them does something bad.
In 2023 there was an open letter titled "Pause Giant AI Experiments", signed by almost all the big names on the West. I'd say the public opinion only got worse since then.
So when someone predicts something will happen with a 90% probability, and then the 10% chances happens and the predicted event does not happen, people will talk about what a bad prediction that was and how they were clearly wrong.
It's the same logic that causes people to say vaccines don't work because they don't stop a disease with 100% effectiveness, or that there is no point to wear a seatbelt because people still die while wearing one.
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