The drywall wall is stronger, heavier thicker stuff and sometimes doubled up. We also often use steel work as the studs (particularly good professionals) as it’s stronger and faster than wood to put up. Then all the wiring is in conduits, and it’s acceptable to put water feeds on the outside of walls in the room for servicing. Then it comes to our bathrooms which are proper wet rooms and usually built to a very high standard to meet insurance needs.
I watch a lot of building videos from the US, it’s eyeopening watching for someone used to better construction methods.
The construction of UK inner walls is even better, it”s often plaster applied on plasterboard/drywall usually by skilled trades. Very strong.
Running conduit for electrical wiring in a house is a huge waste of labor and material. PVC insulation and a nylon jacket is just fine for 2.5mm^2 (#14AWG) conductors, which is what 90% of the wiring in a house will be.
The only place that conduit is mandatory in residences in the US is Chicago.
Hell, most office buildouts in the US use very minimal amounts of conduit, most of the lightning and receptacle branch circuits are metal-clad cable (MC cable).
If your main gripe about the Rust GUI ecosystem is that it's not mature then rewinding 20 years and using Qt/WPF/etc sounds like an excellent alternative. Old and mature versus modern and immature.
> I also live in Europe and tip, specially if I know that the salary of the staff heavily depends on tips.
> If I ever find the system too unfair for the workers, then I won’t go to those restaurants anymore.
Sounds like you only tip once at each restaurant then? Not paying a reasonable salary to employees and assuming they'll beg customers for extra money to make up the difference seems unfair to me.
I can't say if it's unfair or not. I would prefer every worker to get a decent salary, but no idea how they feel in countries where tipping is widespread like the US.
But, if I go to a restaurant in the US, or, Argentina (where tipping is also a thing), then I'll tip, and consider the price of the food to be 10, 15 or 20% more expensive. Otherwise, I won't go, because then I am complicit with the exploitation of the workers.
Incorrect, the reason they don't get a full salary is because tipping is allowed.
If you don't tip, the worker does not magically get a salary. How would they? No, they actually make less money.
This whole "well if you think about not tipping is actually giving them more money" thing is the purest and most refined form of cope I've ever seen. It obviously doesn't work like that. Maybe if everyone did it. But you just doing it does nothing.
You're 100% allowed to not tip. What you're NOT allowed to do is not tip and then somehow try to claim you're helping the worker. You're not. Like, objectively, you're not. That's just literally not true.
Maybe you can log all the traffic to and from the proprietary models and fine tune a local model each weekend? It's probably against their terms of service, but it's not like they care where their training data comes from anyway.
Local models are relatively small, it seems wasteful to try and keep them as generalists. Fine tuning on your specific coding should make for better use of their limited parameter count.
This is not true, 5G has multiple positioning improvements that are not related to higher frequencies. 5G has something called LMF (Location Management Function) that handles positioning of user clients through multiple means, like round trip time, angle of arrival, and dedicated 5G positioning reference signals.
i swore 5G used much higher frequencies (and is therefore blocked by so many more things that don't affect 4G and below.) I'm glad I'm wrong, thank you.
There are other affluent countries that doesn't do nearly as well, so there's more to it than that.
> Qatar’s EV Market reported an impressive surge, with YTD sales up to September up by 119.6%. However, it remains under 2% of total light vehicle sales, with demand still lagging behind. The government has reaffirmed its commitment to scale up EV adoption in the future, establishing the goal to reach an EV share of 10 percent of domestic sales by 2030
> In 2024, electric or plug-in hybrid cars made up 28% of new registrations in Switzerland (compared with 30% in 2023). This was the first setback for such vehicles after steady growth since 2015.
Even China has more incentive than Switzerland... I guess the issue is even with tax credits, the super-rich can still splurge and buy the gas-guzzling SUVs, and it seems it's a country full of G-Wagens, with people with money who need to show off.
In Shenzhen, the government made gas taxis have higher meter prices, so obviously passengers will pick electric taxis. E-scooters must be cheaper to run, so they're popular with all the delivery riders, and normal commuters there...
Norway has a slightly higher GDP (PPP) per capita than Switzerland, so saying it's just because they're rich enough to buy gas-guzzling G-wagens doesn't seem to be the answer.
Before taxes... And as AI just educated me, GDP is the monetary amount the country earns from its production, but Norway's oil earnings are heavily invested by the government.
Perhaps Switzerland is more known by the "filthy rich"/Nouveau riche crowd, and therefore attracts them...
Would this enable a model to learn concepts in one language and generate answers about it in another, as long as it learns general translations between them?
My educated guess:
Not more than any other LLM.
The text-latent encoder and latent-text decoder just find am more efficient representation of the tokens, but it's more of a compression instead of turning words/sentences into abstract concepts.
There will be residuals of the input language be in there.
I don’t think for this approach it sounds like, this is related to the large concept model: https://arxiv.org/abs/2412.08821, where the latent space is SONAR, which is very much designed for this purpose. You learn SONAR embeddings so that every sentence with the same semantic meaning gets mapped to the same latent representation. So you can have e.g. a French SONAR encoder and a Finnish SONAR encoder, trained separately with large scale corpi of paired sentences with the same meaning (basically the same thing you would use for learning translation models directly, but for SONAR you don’t need to train a single model per pair of languages). The LCM then works in this language-agnostic SONAR space which means it does (in principle) learn concepts from texts or speech in all supported languages
Here's a timelapse of a Swedish house being built: https://www.youtube.com/watch?v=KbSm0Zw00Cs
reply