<?xml version="1.0" encoding="utf-8"?>
<oembed>
  <version>1</version>
  <type>rich</type>
  <provider_name>Libsyn</provider_name>
  <provider_url>https://www.libsyn.com</provider_url>
  <height>90</height>
  <width>600</width>
  <title>Software, Venture Capital, and the Future of Work</title>
  <description>While today’s software may seem magical compared to that of previous generations, it still takes multiple software iterations to fold in new fundamental technologies. &amp;amp;nbsp; Joining us for this episode is James Cham, Partner at  Bloomberg Beta. Bloomberg Beta runs several seed-stage investment funds, with a particular interest in low-code/no-code/WebAssembly startups. &amp;amp;nbsp; In this episode, James and host Peter Wang discuss: &amp;amp;nbsp; - why it’s important to be humble when looking towards the future of software - why venture capitalists (VCs) shouldn’t be considered “Yodas” who can fix every problem &amp;amp;nbsp; - what James is looking for when it comes to investing in a business  &amp;amp;nbsp; After listening to this episode, you may enjoy reading “Selling Wine Without Bottles -  https://www.eff.org/pages/selling-wine-without-bottles-economy-mind-global-net” by John Perry Barlow, referenced by Peter during the discussion, and “Seeing Like a Finite State Machine -  https://cyberlaw.stanford.edu/publications/seeing-finite-state-machine” and “Street–Level Algorithms: A Theory at the Gaps Between Policy and Decisions -  https://hci.stanford.edu/publications/2019/streetlevelalgorithms/streetlevelalgorithms-chi2019.pdf,” referenced by James. &amp;amp;nbsp; You can find a human-verified transcript of this episode  here -  https://know.anaconda.com/rs/387-XNW-688/images/ANACON_James%20Cham_V1.docx.pdf. &amp;amp;nbsp; Resources: Peter Wang LinkedIn - https://www.linkedin.com/in/pzwang/ James Cham LinkedIn - https://www.linkedin.com/in/jcham/ Bloomberg Beta LinkedIn - https://www.linkedin.com/company/bloombergbeta/about/ &amp;amp;nbsp; If you enjoyed today’s show, please leave a 5-star review. For more information, visit https://www.anaconda.com/podcast. </description>
  <author_name>Numerically Speaking: The Anaconda Podcast</author_name>
  <author_url>https://sites.libsyn.com/422309</author_url>
  <html>&lt;iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/24288231/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen&gt;&lt;/iframe&gt;</html>
  <thumbnail_url>https://assets.libsyn.com/secure/content/135634980</thumbnail_url>
</oembed>
