GV, Formerly Known as Google Ventures, For Years Has Used an Algorithm That Effectively Permits or Prohibits Both New and Follow-on Investments (axios.com)
Dan Primack, reporting for Axios: When most venture capitalists want approval to make a new investment, they go to their partners. When venture capitalists at GV do it, they go to something called "The Machine." Axios has learned that the firm, formerly known as Google Ventures, for years has used an algorithm that effectively permits or prohibits both new and follow-on investments. Staffers plug in all sorts of deal details into "The Machine" -- which is programmed with all sorts of market data, and returns traffic signal-like outputs. Green means go. Red means stop. Yellow means proceed with caution, but sources say it's usually the practical equivalent of red. It was initially designed and used as a due diligence assistant that could be overruled but, according to three sources, it has evolved into a de facto investment committee.
When venture capitalists at GV do it, they go to something called "The Machine." Axios has learned that the firm, formerly known as Google Ventures, for years has used an algorithm that effectively permits or prohibits both new and follow-on investments
You see, I confidently believe that you all agree that Google's messaging paradigm is in and remains in "chaos/confusion/mayhem/tumult land" right now.
It doesn't really matter unless there is data on whether the system works or not. Nothing in the article seems to mention this.
... an algorithm that effectively permits or prohibits both new and follow-on investments.
My parents, friends, wife, etc... sometimes say "yes" or "no" to things I want to do and/or do again.
[ Is the problem here that's it's an "algorithm" (presumably written by people) or that it made decisions? ]
It must have been something you assimilated. . . .
Wasn't that the fund that put shittons of money into a Juicero?
People are often afraid to make their own decisions. I'm not surprised by this though considering how often banks rely on a computer program to approve or deny each of their products. People make almost zero decisions at many levels.