sibyl

The show is oriented around a fictitious law enforcement technology called the Sibyl System.

This is a tribute primarily to the design of sibyl and the implementation of MapReduce at Google.

YouTube (Watch Next) and Android (Play Store) both have Sibyl to thank for rapid growth at a critical time.

The profits from sibyl were enough to pay for all of google's research for several years and helped google grow tremendously.

I inherited an N&G Sibyl [1] plate camera from my father-in-law when he passed a few years ago.

The transpose step in Sibyl is implemented in the Shuffle and Reduce phases.

The big ones were SmartASS (ads serving) and Sibyl (everything else serving).

This is all explained in online versions of the Sibyl presentation.

I think the Sibyl attack is blunted by the idea that this system is designed to bootstrap from face to face interactions.

In the tommorrow's news: Government introduces the Sibyl system.

The Sibyl of Cumae, who led Aeneas on his journey to the underworld, for which he collected the Golden Bough, was the most famous prophetess of the ancient world.

Under the existing whole-network-power based diminishing returns system, Sibyl can't convince the network to increase her marginal return per unit computational power by pretending to be a thousand people.

There's a popular dystopian Cyberpunk Anime, Psyco-Pass, which has an AI system controlling and analyzing the population (keeping the "peace") called the Sibyl System.

It’s a cyberpunk anime where society uses a system called the Sibyl System to constantly scan people’s mental states and “crime potential” (their Psycho-Pass).

Except many/most services will not trust any "VoIP" phone numbers, because the real reason they want your number is not 2FA, but instead sibyl resistance.

There's no way the network can "know" that Sibyl's thousand accounts should be grouped together when it figures out what her diminishing returns should be [2].

The system I worked on, Sibyl, isn't well known outside of Google, but used MR as an engine to do extremely large-scale machine learning.

Sibyl was an innovative system that used an obscure ML concept- boosting- combining it with mapreduce- to run large-scale ML experiments that were directly part of the serving loop for Youtube, Google Play Ads, and other rapidly growing parts of the company.

On topic: As far as I could tell from working as a contractor at Google last year, they constantly improve their infrastructure with small changes, with occasional 10x improvements like MR, Sibyl, etc.