I remember when the hype first started around it, it was unusably slow, and produced poor results. Granted, I haven't tried it lately to see if latency improved, but the hype versus product state at the time, really turned me off from the product.
That's partially why it's hard. People are automatically unhappy if their flight is delayed, their bags take time to arrive, they have to gate check a bag, sit near a baby during the flight, etc. It would be very hard to run perfectly with the weather being such a large input factor. Even food tastes worse up 35k feet due to the lack of moisture and air pressure. Think about how unhappy people would be with Apple if every time it rained or snowed, the phone couldn't function due to physics?
I'm no expert in this, but I think one common misconception among regular skiers is that a ski tune is "free" rather than each ski only gets so many full tunes as it wears down the base and edges. Obviously, if you get a core shot or something like that, it becomes more necessary. I always understood waxing skis as more protective though?
Could definitely be wrong but I always thought waxing was about reducing the friction between the ski and the snow by both creating a uniform surface and because the wax has a lower coefficient of friction than the plastic of the skis.
A uniform surface is actually not ideal, as it causes a lot of suction between the base and the snow, that's why ski and snowboard bases have "structure" ground into them with a stone grinder--that's what getting a base grind does, it restores the base's structure.
Hot waxing permeates the pores in the ptex with oils from the wax, but you really want to scrape and brush it all off--there shouldn't be any residual wax remaining after.
>but you really want to scrape and brush it all off--there shouldn't be any residual wax remaining after.
I for one have always been a proponent of the lazy-man approach of letting the mountain do the scraping. Avoids the messiest part of the job. Sure the first run or two will be a touch slower, but unless you are serious enough to have a dedicated pair of race skis to schlep to the start, you aren't going to have a pristine base anyway.
I used to just scrape (no brushing) and let the first few runs do the work but then at some point I started brushing and realized that it made a big difference. I think what was happening (could be checked with the author's microscope) was the snow was wearing off the wax on the lands of the base structure but the grooves still had at least some wax--so it was essentially forming a less sharply structured base.
There are still many instances where this partnership is the case though. Search and rescue, avalanche rescue, herding, security and law enforcement, disability assistance, bomb/drug detection, hunting, etc. A lot of the companion dogs are useless for these roles, but many popular breeds could perform these tasks if given the training. On the west coast, people generally seem much more active with their dogs imo.
Yes I know, which is why I said "on average". Another big group of human-dog partnership, are with hippie/gypsy/punk people - but those dogs usually tend to be very annoying (and also dangerous) to everyone else.
I hear your points, but can't git, CI tools, IDEs like DataGrip all be used to test and deploy the database code too versus letting some db admin create functions or procedures with no version control? Also, with things like RDS or readonly replicas, couldn't more analytical queries be done directly in the database versus busing data around?
The api interface is simple, but the change would impact the code underneath. Since these are branch and bound algorithms, it would really depend on how often the worst runtime complexity case occurred. If it only happened in 2% of use cases, it might not make a huge difference for example.
Always thought great JIT that's compatible with Cython and major projects with C extensions like numpy, scipy would be a more worthwhile effort. A lot of the data intensive tasks Python can be run in parallel processes easily so doesn't seem like a major benefit to removing the GIL?
That's most of investing though. Investors won't all agree the operating cash flow, asset base, organic sales growth if there's been M&A, etc. let alone with a P/E, P/FCF, EV/EBITDA ratio makes a company cheap or expensive. Yet, this doesn't make it political in nature though.
depends on the temperature, but overall I think parent commenter has less understanding than gpt4 lol (referring to braindead "if I can produce a single counterexample of logical inference failing, clearly it has no understanding" take).
literally don't even waste time debating takes like this when you could be talking to gpt4 instead.
Completely agree on his take. Generative AI perhaps might be good at certain, specific tasks in terms of pulling or summarizing information for an analyst, but it won't help predict markets. It'll be much better at helping aid in software where the problem is more deterministic.
