Fri. 04/17 - Y Combinator Gets Picky
Tech Brew Ride Home
Amalgamated Internets, LLC
4.7 • 1K Ratings
🗓️ 17 April 2020
⏱️ 20 minutes
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| 0:00.0 | Welcome to the tech meme ride home for Friday, April 17th, 2020. I'm Brian McCullough today. |
| 0:09.7 | Microsoft has some AI tech that can catch bugs 99% of the time it says. |
| 0:15.0 | Why Combinator is going to be more picky about who it invests in. |
| 0:18.7 | Mac OS is getting a smarter battery management system for your laptop and of course the weekend long read suggestions. |
| 0:25.0 | Here's what you missed today in the world of tech. Microsoft claims it can now use AI to distinguish between security and non-security |
| 0:38.8 | bugs 99% of the time and it can identify high priority security bugs 97% of the time. It plans to open |
| 0:46.8 | up the methodology behind all of this to make it possible for you to maybe do the same in coming months quoting venture beat the work |
| 0:55.7 | suggests that such a system which was trained on a data set of 13 million work items |
| 1:00.5 | and bugs from 47,000 developers at Microsoft stored across |
| 1:05.0 | Azure Devops and GitHub repositories could be used to support human experts. |
| 1:10.8 | Corologics estimates that developers create 70 bugs per thousand lines of code |
| 1:16.2 | and that fixing a bug takes 30 times longer than writing a line of code. |
| 1:20.4 | In the US, $113 billion is spent annually on identifying and fixing product defects. |
| 1:26.0 | Microsoft model leverages two techniques to make its bug predictions. |
| 1:30.0 | The first is a term frequency inverse document frequency algorithm, a T.F. I. |
| 1:36.0 | An information retrieval approach that assigns importance to a word based on the number of times it appears in a document |
| 1:42.0 | and checks how relevant the word is throughout |
| 1:44.5 | a collection of titles. |
| 1:46.0 | Microsoft says that its bug titles are generally very short containing around 10 words. |
| 1:51.5 | The second technique, a logistic regression model, uses a |
| 1:55.0 | logistic function to model the probability of a certain class or event existing. |
| 1:59.7 | Microsoft says that the model is deployed in production internally and that it is continually |
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