Is that true? EV have much higher emissions of micro plastics and pfas (or variations thereof) due to increased tier degradation. EVs are typically way heavier than similar ICE due to the batteries and combined with the higher torques, tires wear faster.
> EV have much higher emissions of micro plastics and pfas (or variations thereof) due to increased tier degradation
I find those claims highly suspect: I own an EV and haven't had to change the tires more often than I did on a gasoline-powered car. My EV bought in 2021 still runs on original tires and they're fine (although I do change from winter to summer tires, so that's 2 sets technically).
I suspect black PR, and there is always a grain of truth in black PR: emissions are indeed likely to be higher. Probably not "much higher" and probably not in a way that really matters.
Just because a tire lasts as long doesn't mean it isn't wearing in different ways. EV specific tires are a lot different than their ICE counterparts.
This isn't "black PR". It's comparing apples and oranges. But throw non-EV tires on one and you'll definitely chew those tires up much more quickly [0][1][2][3].
The class of the Ioniq 5 isn't lighter than it's ICE competitors. It may be lighter than a larger SUV, but the tire changes drastically as the GVWR increases.
An Ioniq 5 can weigh over 1000lbs more than a Honda CR-V, for example (depending on trim & battery).
While it is true that EVs are heavier than the equivalent ICE vehicle, and that this causes more tyre and road wear.
1) this is not the only or even the overriding factor when comparing the two. There are engine emissions (none for EVs) and braking (EVs have regen braking)
2) There is a trend for larger, heavier ICE vehicles in the USA as well. Big trucks and SUVs. It is very selective to argue against EVs in this way without also arguing against these.
I have a heavy and high performance EV (Tesla Model S) and I have replaced my tires twice in the last six years. So it’s about the same as an ICE vehicle in that regard.
One thing that differs is brake wear. My car is ten years old and still on its original brake pads and discs. The regen braking is amazing for avoiding mechanical braking. So that means less particle emission from brakes, compared to ICE.
>"I have a heavy and high performance EV (Tesla Model S) and I have replaced my tires twice in the last six years. So it’s about the same as an ICE vehicle in that regard."
Well no, it's not "the same". We have things like physics to tell us that more torque and more weight means more tire wear, despite your anecdote. There are even studies on this. They also have a greater impact on road wear.
EVs have many advantages over ICEs. I don't understand why people have to lie and say they are worse nowhere.
They were saying "the same" in context of how often you have to replace the tires. Now, EV tires are often a slightly different compound (and more expensive) to deal with the higher weight and torque. I don't know how that plays into the particle emissions from those tires though.
Micro plastics pollution is a relatively new problem and thus many direct and indirect effects are not yet fully understood. Moving emissions from CO2 (gas) to micro particles (solid), means emissions will be deposited more local to roads. Moving emissions from 'big oil' installations to the road, means more local emissions/deposits nearer to your home and backyard.
Additionally, due to the fourth power law [0], you only need 20% weight increase to obtain a 2x road wear. Asphalt/concrete production is also accompanied with substantial emission, although progress is made to reduce it [1].
Is there a break-even for weight vs emission reduction? And if so, is it somewhere between personal and cargo vehicles or is it 'EV always better'?
Are we trading 'well-known and bad for global environment'-emission for 'poorly-understood and possibly very bad for local environment on a global scale'-emission?
Of course, with the available information EVs seem to be the better solution, but it should not prevent us from researching/solving unknown effects or being careful choosing a single solution on such a large scale.
> A 1988 report by the Australian Road Research Board stated that the rule is a good approximation for rutting damage, but an exponent of 2 (rather than 4) is more appropriate to estimate fatigue cracking.
> The accuracy of the law of the fourth power is disputed among experts, since the test results depend on many other factors, such as climatic conditions, in addition to the factors mentioned above.
It's incredible one agency in the '50s did some small limited tests and everyone will parrot it as if it's tablets handed down from God.
"The oil companies! The oil companies!". Yeah, they only lie, nobody needs their products! We all hate it! Buy a car from a good company with honest leadership, like Tesla (made of oil products)!
I think finding and transporting 170 million migrants in 2 weeks to replace the bottom 50% would be quite the engineering challenge if at all possible.
Rephrasing the question: By what percentage has AI changed your input quality?
Answer would be around -50%. This is attributed mostly to the vast amount of search results that are AI generated and provide very low density information and miss conveying actual key learning points. This means you have to scan through 100% more text to finally get the information you need to solve the issue. I think this is a low estimate actually.
0% for me too, as on the few occasions I tried it, it gave completely useless responses that were so far off the mark, if I didn't know better it would've lead me on a completely wrong path.
The chemical dependence is quite a factor in the psychological process you refer to. It nudges and reinforces this psychological behaviour. You can broaden the definition to include addiction without chemical dependence, but it does not mean you can omit the chemical dependence factor from the equation.
This chemical dependence is often the number one reason people cannot physically stop their psychological process. Potential effects from quitting include simply dying, or with less strong chemical dependence, feeling anxiety or generally ill.
This chemical dependence is learned behavior in some cases, chemically induced in others.
I get what you’re saying. Dopamine withdrawal is real though and if you no longer get dopamine from an action or you physically prevent yourself from receiving that dopamine, it can be just as debilitating as cigarette withdrawal or kicking a (soft) drug habit.
> Dopamine withdrawal is real though and if you no longer get dopamine from an action or you physically prevent yourself from receiving that dopamine
Exactly, this is why the idea of addiction is more appropriately focused around the actual real world impacts rather than specific chemical mechanisms- the difficulty quitting and the negative impacts on your life. If it's strong enough to overpower your will and destroy your life, that is sufficient, it doesn't matter exactly how.
When it comes down to it, something like an amphetamine drug or other stimulants that directly increase synaptic dopamine, vs a behavior like gambling addiction that exploits the brains instincts and wiring in other ways to still cause the increase in synaptic dopamine are not fundamentally, categorically different in a way that one or the other shouldn't be taken seriously and considered a "real addiction." Either can completely destroy some peoples life, and for other people can be easily controlled and used in moderation.
Yes this is absolutely true, it is a factor in addiction- I initially mentioned this in my comment but deleted it because I felt I was making it too complicated.
> why use a SQLite abstraction library when I can use LLMs to interact directly with the C source code?
Because of the accumulated knowledge in these abstraction layers and because of the abstraction itself resulting in readable and maintainable code.
Yes you can move the abstraction one level up, but you don't control it if you nor the LLM meet the level of accumulated knowledge that is embedded in this abstraction. Let alone future contributors to your codebase.
Of course it is all depending on context and there is no one-fits-all strategy here.
This implies that you need to have a lot in common in order to be friends. Maybe alcohol shows that you actually do not need to have a lot in common, just having fun together is the common. You might need alcohol once in your life to realize it, but alcohol is definitely not required to experience it.
> (b) HN commenters who consistently dismiss any and all criticism of "AI"
I do not really get the same vibe from 'HN commenters'. The way I repeatedly see it presented is, it is a language model (very good at that) and nothing more than that. If with AI we are talking about ChatGPT and alike.
Other AI is often cracked as 'just' very advanced machine learning, reinforced learning etc. In general, HN commenters' seem to be very sceptical or realistic about 'AI' at least in my perception. Of course there may be exceptions (in both commenters and threads).
There are problems where understanding one level below the abstractions indeed leads to better solutions. However, I would argue that for a large set of problems, this is not the case. I think being aware of the abstraction (at multiple levels) would lead you to choose the right abstraction level for solving the problem. Of course, apart from school assignments, these abstraction levels are never given with a certain problem, so the more you know, the better you'll be able to see it.
To be honest, being able to think about things in multiple levels of abstraction is an advantage no matter what level you are (writing assembly or writing react)
It's because abstractions always leak. You are never completely insulated from the levels above or below you, nor sideways from the other components you interact with.
I'd rather cross at a roundabout than at a crosswalk somewhere along a straight road. Actually, last week I got almost run over in such a situation. A bus stopped for the crosswalk, blinked lights to indicate he'd seen me. I start to cross, and at the same time a van overtakes the bus at 'normal' speed and almost running me over as I could not see the van behind the bus, and the van could not see me. This would not have been possible at a roundabout as all traffic is slow and overtaking is not possible.
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