infinite patience to produce bullshit has extremely limited utility
Umbrias
us economists are hardly at threat of being disappeared for criticizing the economy
well you can define when the efficiency is impressive or not to you, now people can go look at the numbers. 20% is pretty substantial, but if you are disappointed it's not 90% then i dont know what to tell ya
oh hey it's that box from the chart. d&d is saved!
you've got it. the period of the sun up/sun down cycle would be the orbital period.
it's not really a myth, see for yourself with the ugliest link ever: https://www.energystar.gov/productfinder/product/certified-residential-freezers/results?search_text=&sort_by=annual_energy_use_kwh_yr&sort_direction=asc&page_number=0&lastpage=0&search-1=&type_filter=Chest+Freezer&type_filter=Upright+Freezer&is_most_efficient_filter=0&capacity_total_volume_ft3_filter=7+-+13.9&capacity_total_volume_ft3_filter=14+-+21.9&markets_filter=United+States
you'll notice that by capacity chest freezers are more efficient. There are a lot of factors stacked in their favor though:
- cold air sinks as mentioned above, while not the majority of the thermal mass in a fridge you lose quite a bit every time anyway.
- convection is a lot stronger than people often realize, and upright freezers are more prone to unforced convection, especially because of the aforementioned air loss (replaced by warm air flowinginto and out of)
via statistical imitation. other methods, such as solving and implementing by first principles analytically, has not been shown to be np hard. the difference is important but the end result is still no agigpt in the foreseeable and unforeseeable future.
the limitation is specifically using the primary machine learning technique, same one all chatbots use at places claiming to pursue agi, which is statistical imitation, is np-hard.
i dont think you are grasping the absolute scale of cash injection necessary to make llm even appear vaguely tenable as a product.
funnily, the tech to do crypto currencies existed long before they got used for the grift. similarly, the plausible use cases for machine learning will mostly suffer from association with the fad of llms.
They are not, managers only think it is saving them money. All the same current llms are a grift that have no plausible value statement outside of scam markets. Even then the price of their use is both massively subsidized and scales at best exponentially with performance. This cannot last forever.
llm are no path to socialism and being tricked into believing that a small collection of ultrarich capitalists having ownership of middle and upper class jobs in a more literal sense is somehow going to bring that about is unfortunate. It's neither here nor there, llm will never get there, but still unfortunate.