ongoodie

> When Son spearheaded the $31bn purchase of Arm, he saw it as a wager on the future of the entire technology industry, which was crystallising at that time around the IoT concept. He proceeded to push the executive team firmly on the course to designing chips for this future of machine connectivity.

Son did not push anyone, ARM was IoT crazy before it was purchased: http://web.archive.org/web/20151006082751/http://www.arm.com...

ongoodie

7 anni fadiscuss

“This decision study was based on 566 real business decisions made by 184 business teams in a wide variety of companies from July 2015 through June 2017. […] The study was able to measure when teams made better decisions by tracking how often the decision maker changed their mind based on the input of the team. […] Decision makers changed their minds based on team feedback for 66 percent of decisions overall […] The impact of different team compositions was compared to this average.”

The results are as follows (probability of the decision change, number of experiments, P-value):

  All-Male                         58% 95 0.07
  Overall                          66% 566 -
  20+ Year Age Range               72% 127 0.13
  2+ Office Locations              72% 240 0.04
  Gender Diverse                   73% 217 0.05
  Geographically Diverse           75% 117 0.04
  Gender Diverse, 2+ Locations     79% 173 0.0005
  Gender Diverse, 20+ Yr Age Range 80% 94 0.005
  Gender, Geographically Diverse   87% 69 0.0002

“Decision results were measured 2-3 months after the fact by asking the decision maker to review the decision expectations written at the time the decision was made and compare those expectations to the actual results. […] we found that male decision makers inflated their decisions results by 7 percent compared to females. Also, after controlling for other factors, the study found that mixed gender teams are 13 percent more likely to miss expectations when following through on decisions compared to all-male teams.”

ongoodie

10 anni fadiscuss

Overall I do not think that the result is surprising. The large genetic deviations result in deviant behaviour and in deviant face. On the other hand it is next to useless for law enforcement since if it is applied to general population the majority of criminal-like faces belongs to law-abiding people.

The fact that we do not like the result does not make it false. For validation, see page 4, where they checked that a random labeling of images does not produce such a good distinguisher.

ongoodie

11 anni fadiscuss

In the full-scale war the fighter planes are useless cause the air bases and carriers will be nuked out in the first hour. So the reality is that the planes are not made for fights, they are made for parades.

ongoodie

11 anni fadiscuss

Even SU-27 had passive locking. If pilot can see, electronics can as well.

ongoodie

12 anni fadiscuss

Solaris 9, RHEL 5, Windows XP Since it is not connected to Internet, there is no point to risk an upgrade. Newer versions of Windows take more resources.

ongoodie

12 anni fadiscuss

"10 Things You Didn’t Know About Russia’s Anti-Gay Law & LGBT Rights" on page 7 is a good summary

Submissions

Hacking Diversity with Inclusive Decision Making (2017) [pdf]

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