68 karma · joined September 28, 2021
Even inside AWS, however, information on the outage remains sketchy. One AWS employee speculated that the outage was caused by an "orchestrated DNS attack," while another employee downplayed those concerns, saying it was more of an "internal thing" related to networking and firewall saturation.
"It's the fog of war," said an AWS manager.
I only wished the headline was a little bit less generic. There are many tutorials about clustering with scikit-learn, but this one is specifically dealing with historical and religious data, which is interesting and unique.
Also, I really like the concept of "programmer historian". I can understand this perspective, since I'm defining myself as a "programmer translator/linguist" and I know that these kind of methods can be extremely useful for humanities professionals.
But guess what. Now the humble spell checker has evolved and now it's AI and cloud based. Nothing wrong with those technologies if properly implemented, but now each word that gets flagged makes a web request to try and find a suggestion, most of which are useless.
It's so frustrating. My work was becoming noticeable slower. Since I get paid per word, I need to work fast, so now before spell checking I have to disconnect from the internet. And I paid for Office! I paid for a software that helps me work slower and earn less.
You can't say "I like this", only "we like this".
In South Korea people do use the first person singular. I hope a Korean person could correct me if I'm wrong.
The thing is this: for a lot of things we have experts, and we listen to them. We know we should listen to medical doctors instead of improvising uneducated opinions.
In the case of language, there are also experts: linguists. They can educate us about the various uses of possesive pronouns, which express more than just a naive idea of possession.
But somehow in this kind of heated discussions nobody consults linguists for guidance.
I applaud and welcome this idea
I wonder if you can train a ML model using text as images. For example, taken as strings, "porn" and "p0rn" are not very similar, but visually they are.
> Amazon claims it’s the first company to offer this kind of privacy-first technology on smart speakers. Last year, Amazon unveiled the AZ1 Neural Edge processor, which powers current Amazon Echo devices, but its new Echo Show 15 will be powered by the AZ2 processor. Amazon said that this processor can do 22 times more TOPS (trillions of operations per second) than the previous generation.
> The company built this module alongside MediaTek, and it will allow for on-device neural speech recognition for new products.
Aaand, as I expected, it is for English only:
> Amazon says these latency benefits will be available first for English in the US, but it plans to expand to more languages “in time.”