Suggestions
Josh Jones-Dilworth
Founder, CEO, Board Director, and Educator
Josh Jones-Dilworth is the Founder and CEO of Jones-Dilworth, Inc. (JDI), a company he established in 2009 to bring emerging technologies to market.12 Based in Austin, Texas, Josh is a multifaceted entrepreneur, educator, and board director with a passion for science and technology.1
Career and Expertise
Josh's expertise lies in areas he describes as "brains, bots and bodies," as well as education and education technology.2 He works primarily with innovators in fields such as:
- Artificial intelligence
- Big data
- Healthcare IT and "omics"
- Neuroscience
- Robotics
- Chemistry
- Material science
- Aerospace
- Scientific research commercialization
Education and Teaching
Josh completed his undergraduate studies at Haverford College, earning degrees in Philosophy and English.1 He currently teaches in the Acton School of Business' MBA program in Entrepreneurship, where he aims to become a master Socratic teacher.12
Other Ventures and Roles
Beyond JDI, Josh is involved in several other ventures and roles:
- Co-founder of Litmus Health, Culturati, The Daily Dot, and Totem12
- Co-owner and Board Director of Nautilus Magazine1
- Board member for various organizations, including DivInc, Folio Collaborative, and the Entrepreneurs Foundation12
Personal Life
Josh resides in Austin, Texas, with his wife Liz and two daughters, Claudia and Quincy.12 He maintains a blog called "A Field Guide to Modern Marketing" where he shares his insights and experiences.12
Highlights
I wrote this piece for TechCrunch almost exactly 10 years ago; its strikes me as more relevant than ever, in an AI context. Give it a read heading into the long weekend.
"Like Brand, I hope we can manage to be politically aware and socially responsible in a way that technology begs us to be, without giving ground to the idea that the Internet is anything but ours."
We need to think about training AI models like we think about training our kids. There are two big pedagogical buckets to consider: “what” we teach and “how” we teach.
Most researchers haven’t been thoughtful enough about either of these. We shouldn’t be feeding our AI models everything that the world has ever produced. There is plenty of crap that we wouldn’t teach our kids, that we shouldn’t teach our AI.
A great example of a company doing this is our client Synthetaic. Their breakthroughs are directly attributed to how they are training their models. Not only are the pragmatic results of this approach impressive. They are also way ahead in terms of “pedagogical programming.”
