Zero money take: quantum computing looks like a bunch of refrigerator companies.
The fact that error correction seems to be struggling implies unaccounted for noise that is not heat. Who knows maybe gravitational waves heck your setup no matter what you do!
No, not really. If you are just looking to work with the data you want to read about extracting from grib2 format. One of the faster ways off the ground is to use the Pywgrib2_s python package and iterate against the model files using python to extract the fields that are interesting. I have a container on docker hub that has pywgrib compiled with all its dependencies if you want to tinker.
These look like staging MVP releases with a full rollout planned for the future. They are only including a few parameters at every 6 hours which is barely interesting to anyone with their feet on the ground.
I own last years Kindle Scribe model and enjoy reading with it. Technically, I probably just like e-ink devices and this was my first e-ink purchase. The Notebook's (now Workspace?) are a compelling experience but it is unclear how the syncing feature protects data privacy. Pen and paper still has a cozier vibe when trying to keep drafts of ideas secure.
Two critiques:
- Kindle would be a much better product if kindle.amazon.com took me to a dedicated UX that is not washed out by the e-commerce bloat that currently surrounds it.
- You have to carefully purchase Kindle editions of books. There are definitely Kindle edition books for sale that are digitally scanned, imported, and compiled as a Kindle edition with no proof reading having occurred leaving you stuck with typo riddled messes.
I've _never_ read an ebook w/o finding at least one typo --- and that includes _Dune_ which I didn't download until after the ebook had been out for over a decade ("pogrom" was mis-spelled as "program" and there was an error in formatting in the glossary) --- but this happens w/ print books as well, my second printing of Tolkien's _The Fall of Arthur_ had a typo (which when reported, I was promised would be fixed in subsequent printings).
The worst was the free copy of Heinlein's _Space Cadet_ I got from Sony on my PRS-505 because I was browsing their store on a day when they offered a $10 credit --- it was so riddled w/ typos that I had to get a print copy from the library to determine what some of them were.... the hilarious thing is that that "purchase" made me eligible for the ebook price fixing settlement, really should have kept and framed that check.
Unfortunately, ebooks as a technology are young, and editors aren't paid as much as they used to be --- if they're being employed to review books at all in some cases.
Don't get me started on the typos in Lost Art Press's _Virtuoso: The Tool Cabinet and Workbench of Henry O. Studley_ --- they mis-spelled the subject's name on the inside cover and duplicated one photo, so a pair of flat pliers is shown twice and there is not detail photo of the iconic twin pair of jeweler's pliers, and didn't do a "cancel" reprinting that page as any reputable publisher would.
> Don't get me started on the typos in Lost Art Press's _Virtuoso: The Tool Cabinet and Workbench of Henry O. Studley_ --- they mis-spelled the subject's name on the inside cover and duplicated one photo, so a pair of flat pliers is shown twice and there is not detail photo of the iconic twin pair of jeweler's pliers, and didn't do a "cancel" reprinting that page as any reputable publisher would.
I am not familiar with those books or their content but that definitely reads as if the intent has been substantially changed. A typo 100 years ago might have been a letter off in the type setter; the typos these days are rewrites!
> I find it interesting that they quantify the improvement on speed and number of forecast-ed scenarios but lack details on how it results in improved accuracy of the forecast per:
Definitely. Training on the historical data creates compelling forecasts but it comes off as a magic box. Where are the missing physics for the high performance cluster?
> Im pretty deep into this topic and what might be interesting to an outsider is that the leading models like neuralgcm/weathernext 1 before as well as this model now are all trained with a "crps" objective which I haven't seen at all outside of ml weather prediction.
You are a bit misleading here. The model is trained on historical data but each run off of new instrument readings will be generated a few times in an ensemble.
But to expand: the US flagship forecast model just had its worst year predicting hurricanes since 2005. The trend of errors over the last few years hasn't been great.
I disagree with your logic. Increased mean error 72 hours out (vs 24 hours out) is not an indication that GFS is getting worse over time. At that scale it’s obviously getting better over time; 24 hours out is further in the future than 72 hours out.
However, an increase in the mean error at the same time out year over year (or between 2005 and 2025) is an indication of an issue, and that’s what we see.
> So this is all about getting the town to assess lots at higher valuations and this way raise tax revenue which in turn will raise town’s ability to spend for itself.
That is one angle of view. Alternatively, you could be encouraging vacant lot (or equivalent structure) owners to sell if neighbors are improving properties while they are not.
Which gets us into a whole other debate about zoning in (most of) the US.
Why shouldn't a land owner be able to use that land in the most profitable way possible (within reason)?
Example: In my area, there's an intersection about 1/4 mile away. I think it would be a great place to have a corner shop/cafe/bodega. It's close to the schools, the other shopping options are another mile away. It's walking distance to several thousand housing units.
But, I can't build such a shop because the entire area is zoned residential (and also covered by HOAs, which are yet another debate).
Quite a few blogs and articles out there comparing US zoning to typical Japanese zoning, if you're interested. Cliffs: Japan often has mixed-use zoning by default (ie, anything from detached homes to small apartments to small office/shops is ok in the same zone)
I do not have an opinion on if Kotlin is great as a backend for every project. Kotlin does excel as a pick for projects where you are also compiling for native mobile front ends.
Write a Kotlin multiplatform client side business logic module in tandem with your Kotlin backend. The multiplatform module compiles for both your Android and Apple environments and for extra flexibility you are able to quickly port code from the client business logic module to the backend (or vice versa).
The fact that error correction seems to be struggling implies unaccounted for noise that is not heat. Who knows maybe gravitational waves heck your setup no matter what you do!