cardine

13 ms·

61.
by cardine 6y ago
There is certainly some risk, but I think there are a couple very strong reasons we can both co-exist. Although both involve large transformers, they are otherwise extremely different and tackle very different use cases. If you want a more
62.
by cardine 6y ago
Cortx | Machine Learning Engineer - Deep Learning | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building an NLP product that automatically writes content about a
63.
by cardine 6y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
64.
by cardine 6y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
65.
by cardine 6y ago
Perfectly ordinary for you and people in your peer group who share largely similar upbringings. I think this comment is (no offense intended towards you specifically) very indicative of how insulated and lacking in diversity tech is.
66.
by cardine 6y ago
We did the math and decided to buy. For us, the break even point (including everything) was nine months of running 24/7.
67.
by cardine 6y ago
We have a similar situation to yours and have had a very positive experience with Colovore. We also run at 100% utilization 24/7 and frequently use the cloud for burst before we go out and buy more cards/servers. Colovore was supe
68.
by cardine 6y ago
This matches my experiences entirely. By running our own hardware (mix of Hetzner and colocation) we go from 20% of our revenue spent on server costs to less than 5%. Well worth any potential headaches, which are almost always overstated.
69.
by cardine 6y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
70.
by cardine 6y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
71.
by cardine 6y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
72.
by cardine 7y ago
It's likely going to get flagged because you discard the entire article as junk science without even vaguely addressing the points of the article or study and reverting to the same tired, outdated, and in this case irrelevant to the ar
73.
by cardine 7y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
74.
by cardine 7y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
75.
by cardine 7y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
76.
by cardine 7y ago
Cortx | Machine Learning Engineer (Deep Learning) | Baltimore, Maryland | Onsite, Full-time Cortx is a profitable, stable, and growing artificial intelligence startup that is building a tool that automatically writes content about any subje
77.
by cardine 7y ago
The solution is to educate the patients so that they demand this sort of data driven analysis from their doctors. If such a product existed I would use it continually and challenge my doctors when they contradict it. If patients aren't
78.
by cardine 7y ago
Cocaine is also in the same drug class as both nicotine and caffeine. Drug class is irrelevant in this situation.
79.
Show HN: Free Web-Based Spelling and Grammar Checker(perfecttense.com)
4 points by cardine 7y ago|0 comments
80.
by cardine 7y ago
I would agree that the jury is still out on diet drinks and heart disease, but it is pretty conclusive[1][2][3] that regular soda increases your risk of heart disease. [1] https://abcnews.go.com/Health/daily-sugary-drin
81.
by cardine 7y ago
This study seems to very clearly indicate Diet Coke/Coke Zero is much healthier than Coke. There are tons of studies like this that concretely show how bad sugar is for you, while most studies show that artificial sweeteners have no (o
82.
by cardine 7y ago
Most criminals are not using services like Luminati - they are using actual botnets made up of compromised computers. In that case, their bandwidth costs are far cheaper than yours.
83.
by cardine 7y ago
In my experience, the biggest issue I run into is targeted botnet brute force attacks. In cases like these, someone loads up a huge botnet, a downloaded list of hacked usernames and passwords, and tries every single combination hoping to fi
84.
by cardine 7y ago
If your dictionary is smaller than 50,000 words, all you would have to do is add another word. 10,000^5 > 50,000^4
85.
by cardine 7y ago
Even if you knew the pattern, four random lowercase dictionary words (assuming a dictionary size of 50,000 words) would take longer to crack than a randomly generated 10 digit password with letters, numbers, and special characters. 50,000^4
86.
by cardine 7y ago
I agree entirely with your second paragraph. With that being said, I do think it is very possible to test unbiased product-market fit. Simply do the promotional channels you would do if you had a product and pretend you have the best versio
87.
by cardine 7y ago
How would the sacrifice be for naught? The kid is presumably smarter and harder working and better prepared for success no matter what college they go to. But for college admissions, I don't think it is unreasonable to judge a kid for
88.
by cardine 7y ago
The student is not making the sacrifice, the parent is. The student has the privilege of benefiting from their parents' sacrifices.
89.
by cardine 7y ago
Your argument is "I got mine fuck everyone else" which I think is about as uncompelling as an argument gets. My argument is that getting more people into tech increases opportunities and raises the standards of living for everyone
90.
by cardine 7y ago
>If you want your wage to decline in the name of opportunity, that is your choice to make, but it is not your choice to have someone else's wages decline. Why is it your choice to make? Shouldn't it be the new people trying to

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