Wednesday, October 14, 2020

Episode 105: A Chatbot with a Brain with Peter Voss

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A Chatbot with a Brain with Peter Voss

  • 0:3:31 Overview of aigo.ai 
  • 0:11:35 Knowledge Representation
  • 0:20:03 Three waves of artificial intelligence
  • 0:32:00 Where does innate knowledge come from?
  • 0:37:00 How to build knowledge without embeddings
  • 0:44:00 How to build a knowledge graph that can see the world the way humans do?
  • 0:55:04 Challenges for cognitive architectures
  • 1:08:30 aigo.ai as a company

Website: https://aigo.ai

Friday, August 21, 2020

Episode 104: DevOps and Site Reliability with Matt Watson

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DevOps and Site Reliability with Matt Watson

  • 0:4:03 What is DevOps?
  • 0:7:40 How to log from many machines to a central place?
  • 0:13:20 How application performance management (APM) products work?
  • 0:23:30 How to see anomalies when doing a new deployment
  • 0:26:13 What a DevOps engineer sees/uses when they work.
  • 0:32:58 Debugging machine hardware issues/limitations
  • 0:42:10 Stackify the company
  • 0:49:50 How can folks use Stackify for free to learn more?
Stackify: https://stackify.com/
The Startup Hustle: https://startuphustle.xyz/


Wednesday, July 29, 2020

Episode 103: Working From Home


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Working From Home with Adam Bell

  • 0:2:15 Why did Adam begin working from home
  • 0:4:15 Good/bad environments to work from home
  • 0:13:00 How recruiting/hiring will change
  • 0:22:30 Onboarding new team members remotely
  • 0:25:00 Socializing with remote co-workers
  • 0:36:15 Working from home pre-COVID vs post-COVID
  • 0:46:20 What makes Work From Home (WFH) fail?
  • 0:55:10 Handling timezones
  • 0:59:00 Future of WFH
Adam's podcast: https://corecursive.com/


Monday, June 22, 2020

Episode 102: Bayesian Thinking with Max Sklar


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Bayesian Thinking with Max Sklar

  • 0:3:42 Intro to Bayesian
  • 0:9:28 Example of using probability and confidence in FourSquare
  • 0:12:30 What is a probability density function
  • 0:19:30 Generative systems
  • 0:24:00 Generative models and Bayesian inference
  • 0:44:50 Acquisition functions
  • 0:57:07 Will Deep Learning eat Bayesian inference?
  • 1:12:17 Working at Foursquare's Innovation Lab
  • 1:23:19 Max's Podcast
Max's podcast: https://www.localmaxradio.com/

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Friday, May 22, 2020

Episode 101: ReactJS with Guillermo Rauch


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ReactJS with Guillermo Rauch

  • 0:1:57 How frontend development works
  • 0:5:00 Component-based web development
  • 0:14:04 A historical review of the web
  • 0:19:28 How ReactJS works
  • 0:26:33 How to write clean ReactJS Code
  • 0:35:36 Motivation for Next.JS and Pre-rendering
  • 0:53:02 Pre-fetching
  • 0:58:45 Working at Vercel
  • 1:12:38 Vercel is hiring! https://vercel.com/careers
Learn next.js: nextjs.org/learn
Guillermo Rauch's Twitter: https://twitter.com/rauchg

Also check out our sponsors!
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Tuesday, April 21, 2020

Episode 100: One Hundredth Episode

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Intro

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Book of the Show

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One Hundredth Episode (42:03)

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Tuesday, February 18, 2020

Episode 99: Squashing bugs using AI and Machine Learning with Boris Paskalev


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Squashing bugs using AI and Machine Learning with Boris Paskalev

  • 0:1:20 Intro
  • 0:2:57 Going from developer to business school
  • 0:6:40 How to do analysis on code
  • 0:14:28 JSNice and Nice2Predict: 
  • 0:14:32 How to people catch bugs?
  • 0:18:40 Debugging horror stories
  • 0:26:25 What is using DeepCode like?
  • 0:35:27 Languages supported
  • 0:39:50 The machine learning behind DeepCode
  • 0:46:30 DeepCode Pricing
  • 0:50:35 DeepCode the company
  • 0:58:15 Running the DeepCode extension
  • 0:59:40 Reaching out
Deep Code email: hello@deepcode.ai
Boris' email: boris@deepcode.ai
Deepcode Twitter: https://twitter.com/DeepCodeAI
Educative: educative.io/ProgrammingThrowdown