Found in translation: FloydHub
Diving deeper into the research, I discovered an entirely novel seq2seq model that discarded all the rules I’d learnt so far, and this is the one we will explore further.
ml  translation 
october 2018
How to Make $80,000 Per Month on the Apple App Store
Turns out, scammers are abusing Apple’s relatively new and immature App Store Search Ads product. They’re taking advantage of the fact that there’s no filtering or approval process for ads, and that ads look almost indistinguishable from real results, and some ads take up the entire search result’s first page.
appstore  scam  apple  fjord 
september 2018
Jepsen: VoltDB 6.3
Serializability requires transactions appear to execute in some order, but doesn’t specify what that order should be. This allows for some unintuitive behaviors. For instance, read-only transactions may execute at any logical time, regardless of when the query is performed. Under serializability, SELECT COUNT(*) FROM USERS may always return 0, regardless of the number of users currently in the table, because when the table was first created, it had no contents. It could also return the count from five minutes ago. We call these reads-in-the-past stale reads.

Serializable systems are also free to discard write-only transactions by reordering them arbitrarily far into the future. This also applies to read-modify-update. For instance, we can UPDATE videos SET view_count = view_count + 1 WHERE id = 123 at any time, because you can increment any number, and if there’s no row 123, the where clause wouldn’t match. It would be legal to apply this transaction just prior to the heat death of the universe–and if that happened, nobody would see the increment. Therefore, a serializable system is not required to apply this update at all. Similar arguments allow serializable systems to discard transactions whose consequences would be overwritten by some already-executed transaction, and so on.
potks  database 
july 2016
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