I heard about stockbuzznow on this platform. I signed up to see what it was about. After about a year of not using their service I reached out to them to have my account cancelled. They ended up charging me still..and even though that pissed me off I thought my account was canceled. But now I'm seeing a charge through paypal for stockbuzznow...meaning my account has still not been cancelled. After logging in I realize there's no way to cancel your account, there's no cancellation button. There should be a way to take legal action against this POS company. WTF!
My feeling is that this whole silliness will backfire spectacularly! Huawei will develop their own OS. It's hard but not impossible. Who cares if there's buy-in from the entire developer community...nowadays people don't use apps that much anyways. Apps are just another way of consumption. Most apps can probably be replaced with webviews with little lost of functionality. I don't know enough about the technical difficulties they'll have in developing a brand new os, but it's been done multiple times. In any case, this sux for all parties.
I can understand why the US wouldn't want them to build out the 5G network in the US, but it's kinda overstepping to push other countries to deny them that access. That's for other countries to decide on their own. In addition, deeming the company a national security risk is kinda ridiculous. and blocking companies in the US from selling to them or doing business with them is simply anti-competitive obviously. I feel like the result will be huawei developing their own homegrown technology and bringing even more competition to US companies. It's obviou s they're capable of developing advanced tech w/o simply copying (I mean they're ahead in 5G). And once they go down that route there's no coming back because they wouldn't wanna make the same mistake twice. can't understand the strategy by this admin., seems kinda dumb to me
"out of sight out of mind" is reason enough to have one. people may serendipitously walk into a bookstore and change their lives; doesn't work the same when commuting.
This is great. At the same time, WTF...it took this long to bring a bookstore to the BX?? Living in Harlem in the mid 2000's I always wondered why there were no B&N around. What's strange is that Starbucks wasn't around either but then they opened up 2 on 125th and they were always packed, so I really don't buy the bogus argument that "there just isn't enough demand". I usually don't indulge in Schadenfreude, but I can't say I'm unhappy with the b&n closings and amazon beating them to a pulp (pun intended).
Sounds really interesting, but it seems like this is all due to the graph extraction algorithm needing to use static analysis. Is this such an important requirement that it requires switching languages? I'm not too familiar with how PyTorch works under the hood, but I suspect it doesn't builds a graph (correct me if I'm wrong) and they seem to get good perf. I'm all for new tech, but just wanna get a sense of how impactful this change would be.
The idea that linear models are linear in the parameters and not the data is a bit confusing. I know the effect of this is that you fit curves with "linear" models, but I don't feel like I fully understand this. Can you explain further or link to some good resources?
This is so true...I believe this wholeheartedly, had to find my long-last hn login to upvote this. I've read a lot of stories where people start a diet such as one meal a day, or all potatoes...heck I even heard of a guy who was "curing" patients with only rice and sugar back in the day. The common thread among these stories is that they've stopped eating a lot of what they used to (presumably mostly junk food), and so their body can recover. It's not what you put in so much as what you've stopped putting in.
Seems like you're jumping to conclusions here. Let's wait to see what exactly happened. I highly doubt that any of these companies just use "straight" ML. For complex applications, there's generally a combination of rules-based algorithm and statistical ML based ones applied to solve problems. So to simply: highly suspect predictions aren't just blinded followed.
Headlines like these give me confidence that it will keep going. It may crash, however, most people would be caught off-guard...these things aren't telegraphed, plus, what's the motive? To save me money? or to make more money for himself?
"IT is, by nature, a meritocracy" <- Nice JOKE. I've worked at a number of big IT firms in NYC and they all throw around the meritocracy myth. But the reality of the situation is that your position is determined, to a high degree, on your relationship with higher ups, and that relationship is to large extent determined by shared backgrounds and whether you're a 'cool' person to be around. Even in the interview process, your answers are looked at differently based on who you are - this is all biased guys, let's not kid ourselves here. Sure, I'm not providing hard evidence, but this is what I've seen being on both side of the hiring fence.
Can you be specific on what makes this a headache? Your "refactoring" tells me that the code probably wasn't well structured in the first place and if so this would make refactoring difficult for any language, particularly dynamically typed ones.