“We do have an exclusion set that comes through our government, be they products, so nuclear weapons, automatic weapons, etc.”
♫
Said on The SME Stream
“Zero Notice rating score… if there’s a million people on there, you could be number one… algorithm changes your score based upon your engagement.”
Dropping Bombs · Why Ferrari & Rolex Decide Who Gets to Buy
Play from 1:06:45
1:06:45
Audio streams from the publisher’s own feed. Verbatim does not host or copy it.
What was described
Create a public “Zero Notice rating” score that ranks users based on preparedness actions, classes taken, caloric intake, weapons, governance training, etc.
Said nearby on the same subject
“We're actually able to bias the model based off of the direct user feedback using some of these like online training methodologies. We're able to see like real upticks in user satisfaction, completion rates, decreased tool call failures”
♫
Said on Unsupervised Learning with Jacob Effron
“We create implied forward rates based on the reserve contracts we see that’s transacted… It’s implied based on reserve contracts, not futures.”
SD
Silicon Data
Pitch The PM ·
“We estimate in Italy, we have 4,500 companies that we like a lot... we rank these companies by some filters, including age of the founder, sector, etc.”
GB
Giuseppe Balzano
Buyers and Builders ·
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