angry_moose
Joined 4 years ago
Joined 4 years ago
I really like Field Roast Chao slices for things like burgers or sandwiches.
I'll still get them if there's literally no other vegetarian option on the menu, but that's rare.
It's a situation of "You know that thing you don't eat, don't like, and don't have cravings for anymore? We made something that tastes exactly like it. You're going to love it!"
I'm glad they existed when I first went vegetarian as they made the transition easier, but its a tough market when people will go off them in a couple years.
The critical difference is gmail still worked just fine with hotmail, yahoo mail, aol, etc. Wave was useless if both sides didn't have it.
Unfortunately, for every other class, the Wave signups were so rationed that it was impossible to get everyone on it.
"Can we use Wave? No, Steve has been trying to get an invite for weeks".
My initial reaction at being dumped on the "Explore" section was "this is just a spammy pinterest style link aggregator thing".
I think I've been under a pay freeze for 4 of the last 6 years, and a capped 2% raise one of the others. No matter how much effort I put in, my wages would have stagnated.
You'd have to map the results back onto the traditional model which has overhead; and using shaky results as a precondition is going to negate a lot of the benefits, especially if its (incorrectly) predicting the part is already in the non-linear stress range which I've seen before. Force balances are all over the place as well (if they even bother to predict them at all, which its not always clear) so it could even be starting from a very unstable point.
Its relatively trivial to just use the native solution from a linear solution as the starting point instead, which is basically what is done anyway with auto time stepping.
At best, they're sortof ok for linear, small deformation problems. The kind of models where we could get an exact solution in ~5 minutes vs a fairly sloppy solution in ~30 seconds. Start throwing anything non-linear in and they just fall apart.
Maybe enough to do some very high-level concept selection but even that isn't great. I'm reasonably convinced some of them are just "curvature detectors" - make anything straight blue, anything with high curvature red, and interpolate everything else.
According to the wikidata, there are no articles for the United States in whatever languages VEP, GUR, and UR are, but:
https://vep.wikipedia.org/wiki/Amerikan_%C3%9Chtenzoittud_Va...
https://ur.wikipedia.org/wiki/%D8%B1%DB%8C%D8%A7%D8%B3%D8%AA...
https://gur.wikipedia.org/wiki/United_States_of_America
Ended up being fairly easy to look for - I compared the David Woodard list to the United States list and found instances where it claimed there was an article for the former but not the latter. Most David Woodard articles have a link to where he was born (United States), so an easy crosscheck.
Though VE seems to be an outlier where there is a Woodward but not United States article: https://ve.wikipedia.org/wiki/David_Woodard
I haven't done a lot with it, but Pimsleur (https://www.pimsleur.com/) seems quite good for conversational. I've done a couple trials of it and plan to dive in when I finish my Babbel courses.
For conversational though you might be better off just finding an online tutor. 1 hour a week with a native speaker is probably more effective than any of the apps.
I like Babbel a lot for early levels - its gotten me back to a rough-B2 German level. I was probably approaching C1 in college, slipped to an A2 from lack of use, but I'm building it back up; and spent a while learning Norwegian from scratch a couple years ago on it.
Pimsleur is probably next on my list once I top out on Babbel to build up speaking.
Interesting idea on the ChatGPT sentence prompts. I'm not sure I fully trust it for that, but its worth a try.
Edit: Hm. Interesting idea. It's definitely a bit better at German than me, but its still making a handful of mistakes (as compared against other sources).