bertomartin

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

The real last Samurai lol

"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.

Maybe this site: https://del.icio.us/

It's back to android for me; it's great to have a choice here, those pixel 2 xl are looking a whole lot nicer all of a sudden.

Ha! ...and Facebook's?

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?

I guess we all have different experiences

"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.

"...for some reason:" - they shouldn't be allowed to destroy such an important monument to satisfy their curiosity.

Nice idea. Remove the React favicon ;)

I probably could have put that better, so here goes: shitty code can be a challenge to refactor regardless of language

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.

Use ML. Gather a bunch of tweets and learn a model that classifies tweets (job listing / not job listing). Then use the model as a filter. You can use it in concert with your current implementation: if the tweet contains any of your keywords, there's no need to invoke the model. Hope that helps.

Agreed. Call it what it is. Your first thoughts are worth examining, a lot of times they're right.

What's the rationale behind offering the 13" pro the option of not getting the touch bar, but not offering that option on the 15"? I want to buy a 15" but I do not want that silly touchbar

I'm pretty sure not everyone in Indian regards the Raj as favorably as your parents. Some people in Jamaica do think the way your parents do, about the British. This is more than colonialism though. This poverty has a lot to do with cold war politics and meddling by world powers. It's surprising, such as small island, why even bother? But this happened in the 70s and 80s. It's well documented, you can read about it.

Education and opportunity would help to eradicate a lot of the crime in Jamaica. First, the younger people needs to see successful Jamaicans in good positions and understand that they got there through education. A lot of kids aspire to be Reggae stars, because they're influenced by the success of Reggae icons. Not many such influences are apparent with well educated Jamaicans. They're not 'stars'.

I think India does well because they put a premium on education and kids that do well are rewarded.

3. I disagree. I've been working in the tech industry (in the U.S) for over 8 years now. Relationship with the manager absolutely matters as far as being paid more and promotion. That's my experience in all 4 tech companies I've worked at. Though there are props for merit, but at the end of the day, and especially at the bigger firms, it's your relationship with higher ups that gets you there.

might be one of the few duds Apple's ever produced. Let's see.

Really great, would be cool if it were on youtube though

luddites thought the same ;)

Could you use such a model to do sequence labeling? For example, I have a text document such as a financial document and I want to detect where in that document it states that a "stock split" will occur, or "share repurchase" and how much. This seems like a good approach given that it learns context. I know there are NER methods, but this is slightly different. I want to train a model to recognize specific events. The best I can do right now is a regex.

Interesting corpus there ;)