The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

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why aren't all 11 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Insight
Nguyen: Machine Learning Is the Primary Purpose of Big Data
“So it turns out the reason for big data is machine learning.”
Christopher Nguyen Jan 2, 2019 ▶ 1:30 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Big Data Is Defined by Learning Thresholds, Not Volume
“So I like something that Peter Norvig, the director of research at Google said when he referred to big data, he says, big data is not just quantitatively different, but it's qualitatively different. In other words, there's something that happens when you have …”
Christopher Nguyen Jan 2, 2019 ▶ 1:42 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Machine Learning Mirrors Human Learning From Experience
“And the way I think about big data is when machines learn from big data is very much like human beings learn from life experiences.”
Christopher Nguyen Jan 2, 2019 ▶ 3:24 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Human Intuition Functions Like Parameters in a Machine Learning Model
“Well, what we think of as intuition are actually, you can think of as parameters inside a machine learning model.”
Christopher Nguyen Jan 2, 2019 ▶ 5:09 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Modern Business Intelligence Uses ML to Predict Unknowns
“You can think of business intelligence going forward as the ability to apply machine learning algorithms to big data, and not just look at past questions, but also future questions, or asking to predict the unknowns from the knowns.”
Christopher Nguyen Jan 2, 2019 ▶ 6:33 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Big Data Progress Is Driven by Cheaper Tech, Not Smarter People
“We don't necessarily get smarter over time. It's just that certain technologies get cheaper. They get, they become more available. So machine learning algorithms have always been around. The data that exists that you could collect has always been around. But i…”
Christopher Nguyen Jan 2, 2019 ▶ 7:20 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Assertion Supported
Nguyen: MapReduce Was Intentionally Designed for Reliability Over Speed
“Interestingly, a lot of people may not realize that MapReduce was designed to be slow.”
Christopher Nguyen Jan 2, 2019 ▶ 12:37 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
What-if
Nguyen: Apache Spark Would Have Failed Earlier Due to Memory Costs
“Now Spark, if it was created six, five, six years before its time would have completely failed because memory was so much more expensive.”
Christopher Nguyen Jan 2, 2019 ▶ 14:45 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Insight
Nguyen: Users Abandon Software Tasks if Latency Exceeds Five Seconds
“We had a phrase we call the five second barrier. And if the user can't get something done, you know, within five seconds, they won't ever do it. It's not like they'll do it at, you know, at twice the latency.”
Christopher Nguyen Jan 2, 2019 ▶ 16:19 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Prediction Not checkable as stated
Nguyen: Machine Learning Will Become a Feature of Every Application
“What you will see is that all of this machine learning will be a property of every application.”
Christopher Nguyen Jan 2, 2019 ▶ 19:09 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
Prediction Not checkable as stated
Nguyen: Users Will Soon Expect Machines to Learn Like Human Colleagues
“Well, I claim that there will be a day very soon when then you will feel that about the machines you work with. In other words, you would expect that to be a property of all these machines.”
Christopher Nguyen Jan 2, 2019 ▶ 19:57 a16z Podcast | Making Sense of Big Data, Machine Learning, and Deep Learning
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