Utter nonsense.
Not all tokens are created equal. The quality and intelligence behind each token vary, and the outputs of leading U.S. frontier models still maintain a clear edge over their Chinese counterparts.
Some people ask, “Why drive a Lamborghini just to go grocery shopping?” But remember: AI adoption among enterprises is still below 1%.
There will be many more tasks going forward that require a Lamborghini. And there’s a good chance even a Lamborghini won’t be enough, we may end up needing a Formula 1 car.
@Trippy_McGuire@peterrhague Any reason why you want a lower temperature in summer than in winter? Or are you not referring to the actual room temperatures?
@tomppajo A good air to water system (eg with floor heating) can pull quite a bit of heat out of a structure safely as well, but i actually think they have mostly air-air, at least from what i have seen in the south.
@wmstrn@dampedspring@saylor Ah nice. The old eating ice cream causes shark attacks :)
Nice correlation vs causation question, innit?
Curious to see which fallacy you'll pull out next.
@tomppajo Tbf it's not a law of nature that nuclear has to be curbed, but a design choice. And the amount of curbing is a lot more limited than some of the headlines might suggest.
@kyleichan@vshih2 It's also a common practice in old school engineering since forever.
Buy a competitor's car test it and take it apart.
VW famously had some Teslas at the headquarters in Wolfsburg, when they first came out over a decade ago, with the takeaway that built quality sucks so no threat
@krzysioactuary@ED0014338386933@mars_quaking@patrickc The higher the wealth gap in a country the bigger the disparities in HALE.
Interestingly these effects can be observed in a fractal way. The (city) state of Hamburg is a very good example of this which has been studied and documented well.
@krzysioactuary@ED0014338386933@mars_quaking@patrickc It isn't that mysterious. Both life expectancy and HALE correlate with wealth, but are influenced by culture and structural differences.
The averages hide big disparities within countries mostly caused by wealth.
Germany gets dragged down by the east and former coal mining areas.
@Buchiimaine@philoinvestor@jukan05 Is it possible that this myopic statement is based on a skill issue?
Would be very unusual, to say the least. I for one am very aware, that I don't always optimize for efficiency when driving.
@Benif_ch Guilty myself of selling Siemens too early. Was actually thinking further down the line: if ai will be as good as many hope, then bureaucratic hellholes should see the biggest improvements.
The more a company resembles a german government office the better ironically ;)
@Fran_G47@ReturnsJourney 💯
I know of several GFC era developments that were basically mothballed that got "rediscovered" in the post covid rush.
South of Peníscola, a big stretch of hillsides between Orpesa and Benicàssim and even in Mallorca.
And these are just legal ones that got abandoned voluntarily
@ReturnsJourney In general it's worth thinking about adjusting for holiday home construction and possibly also second and third homes when looking at the impact on fertility rates.
@ReturnsJourney Spain is a pretty bad example. During that time it was obviously overbuilding. Including lots of illegal construction, even in protected land.
To this day there are many "ghost developments" along the levante coast for example.
@Autonomosly@TMTLongShort And it's not like history isn't full of experts and insiders misjudging things. Seen it from within companies several times.
Using feelings to try and improve accuracy about a system/model is inferior to just admitting that the range of outcomes is uncomfortably big.