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gregw134

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gregw134
·10 days ago·discuss
I'd imagine they want to do price segmentation. Sell the best model for $50k a year to corporations willing to pay full price, keep the rest of us on a lower tier. Gotta pay for that infra somehow.
gregw134
·6 months ago·discuss
It's a good start. Would be nice to add a gradually increasing tax on multiple home purchases, e.g. buying a third home has a 5% tax, 4th 15% tax, fifth 25%, and if you want a sixth home you have to build it yourself. Would prevent regular people from buying up dozens of homes to rent.
gregw134
·10 months ago·discuss
https://en.wikipedia.org/wiki/Doomsday_argument

Statistically, we're most likely to be born when the world population is at its peak.
gregw134
·3 years ago·discuss
"At any rate, after exploring this, I naturally wondered if there wasn’t some easier way to do it; not as statistically valid, maybe, but adequate for the advertiser who just wants to improve his performance. I won’t go into the details here, but let’s just say that everyone wanted a Super Deluxe version even if it did require changing every part of the Ads system. No one wanted something quick-and-dirty that just did the job. This was Google, after all; “quick and dirty” would not get you promoted or get your talk accepted at a conference. It did not make me popular to suggest this."

I had a similar experience at Google--simple improvements such as parameter tuning are looked down on and rejected for being mere tinkering, even if the metrics are good. Meanwhile super complicated deep learning projects keep being added, even if they barely improve metrics. In the short term the complexity looks like hard work and leads to promotions, but long term it makes the system hard to maintain and understand.
gregw134
·3 years ago·discuss
Ex-googler here as well. What are you guys using instead of flume for data pipelines? Beam on Spark?