I’m assuming RM Transit, though I’ve never seen it abbreviated to RT
I’m assuming RM Transit, though I’ve never seen it abbreviated to RT
No, this would be a fun one to watch! Imagine them claiming that Xi is 2000+ yrs old and he just came to power…now?
Not sure if sarcasm, but the article is actually super insightful into a few different methods bad actors could use to accomplish the same feat (short of giving them a formula, from what I can read, but I’m not a battery maker)
Open tiktok or shorts or whatever vertical video platform you prefer and scroll like 5 times, you’ll be bound to experience it.
What can a box of cereal cost, $30?
Nothing says boomer more than warm, raw Jimmy Dean’s!
Ooo, candy!
It took me an embarrassingly long time to figure out what a “Pugina” was, should have just clicked the link
I know how to read them, but I still always read the top tweet first, then the original tweet, then the top tweet again…
I know, I’m dumb
No, no, no, Rust is so good it doesn’t even let you create race conditions!
Just…uhh…move to a place that has a balcony?
WW3 material for New Yorkers, right there
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No, it says that making an effort requires no talent.
I’ve thought about this a bit (but by no means extensively) and I feel like the stakes are different for tech companies because growth doesn’t require as much capital as a non-tech business.
For a SaaS tech company to scale from 10 users to 1000 users doesn’t mean a bunch more sales people and a new factory, it means having a great product and turning on new servers, likely only incurring a higher hosting bill from AWS (or similar).
In that sense, I feel like it’s easier for the sentiment to be “we’ll be better off with 1000 more users” over and over again until people start to want to optimize the business. Which means doing more traditional “shareholder value creation” that big companies do today.
Don’t get me wrong, I would love to see it happen, but i think tech just scales so differently and easier than other business types.
Agree completely, this is how every machine learning system is built! Maybe this one was taking too long, but that’s exactly what beta’s are meant to prove.
I feel like this section is rather disingenuous for the article author to just drop without mentioning that this is how all machine learning models are trained. The idea is that now (and for the next year or whatever) it’s trained manually until the system is good enough to do it on its own with a good enough accuracy rating to not lose money.
Now, since Amazon is shuttering this, it’s totally possible that they determined they’d need too many years of training data to break even, but at the very least this is standard industry practice for any machine learning model.
This is working less and less in my experience. Most people are serving ads through the same domain they server content from so the Pihole can’t figure out what’s an ad and what’s content so it lets it all through
Still works for certain apps/websites, though
And come in on your knees since the cameras only capture people that are standing
Shocked I tell you…shocked!