TensorFlow
4 statements across 4 episodes · 2 bullish · 2 bearish · 4 people on the record · first statement Jun 24, 2016 by Dennis Mortensen · said 11 times in 8 episodes since 2016 · across every show →
Mentions by year
brought up most by Harry Stebbings (2), Andrew Feldman (2), Alex Rampell (2), Sarah Guo (1), Nitesh Banta (1), Dennis Mortensen (1), Daniel Gross (1), Cris Valenzuela (1)
tap a year for its mentions
2025 2 mentions in 1 episode
2023 1 mention in 1 episode
2018 2 mentions in 1 episode
2017 4 mentions in 3 episodes 1 per episode
- 20VC: a16z's Alex Rampell on The Struggle Between Innovation vs Distribution, When How To Determine Whether An Application is Optimised Through Centralised or Decentralised Networks & Why Most ICOs Today Are Ridiculous
- 20VC: YC's Daniel Gross on How YC Can Democratise AI & Reduce Incumbency Advantages, Why ML Enabled Software Will Eat The Software That Ate The World & Whether AI Will Produce Independent Companies or Be Technology within Incumbents
- 20VC: Preparing For The Next Big Trend, Why Conversational Will Be The Next Big Thing & How Entrepreneurs Should View Market Size with Sarah Guo @ Greylock Partners
- every mention in 2017, scene by scene →
2016 2 mentions in 2 episodes 1 per episode
- 20VC: How AI Can Enhance Not Replace Humans? What Will Differentiate Between The Winners & The Losers In AI? Why AGI Is Further Away Than We Think with Nitesh Banta, Founder & CEO @ B12
- 20VC: X.ai's Dennis Mortensen on Why There Is No Incumbency Advantage in Artificial Intelligence
- every mention in 2016, scene by scene →
Everything said about TensorFlow, oldest first
Jun 24, 2016 negative
Dec 30, 2016 positive
Banta: Open-source ML tools let junior engineers perform specialist work
“One of the really nice things is that a lot of these companies are open sourcing and democratizing these services, so things like TensorFlow from Google, and the result is, you know, we, when we recruit engineers, I mean, even an out-of-school engineer can do …”
Aug 21, 2017 bearish
Gross: AI platform startups face tough competition from TensorFlow and incumbents
“Second is for the platform companies, I do think there's a less obvious but likely business model as well. Less obvious because unlike the database analogy I provided, it's not immediately clear that there'll be An Oracle or a MySQL, that is to say, a company …”
Nov 13, 2017 positive
Proprietary Data Gives Big Tech an Unbeatable AI Recruiting Advantage
“It's also an HR advantage, because if you are the smartest person from your PhD program at Stanford, and you like machine learning and AI, where do you want to work? Well, you could go work for some startup, where they also downloaded TensorFlow, but they have…”