The following is a conversation with Tony Fidel, a engineer and designer, co-creator of the iPod, the iPhone, and the Nest Thermostat,

and he's the author of the new book, Build, and Unorthodox Guide to Making Things Worth Making.

More than almost any human ever, he knows what it takes to create technology ideas, designs, products, and companies that revolutionize life for huge numbers of people in the world.

So it truly is an honor and pleasure to sit down with Tony for a time and look back at one heck of an amazing life.

And now a quick few second mention of each sponsor.

Check them out in the description. It's the best way to support this podcast.

We got mail gun for email campaigns, scale from what she's learning, net suite for efficiency, simply safe for security, and aid sleep for sweet sweet naps.

Choose wise and my friends. And now onto the full ad reads.

As always, no ads in the middle. I try to make this interesting, but if you skip them, please still check out our sponsors.

I enjoy their stuff. Maybe you will do.

This show is brought to you by Mailgun by Sinch, an email delivery service.

It has API for transactional and marketing. It also has a bunch of fascinating features like send time optimization.

So automatically optimally figuring out what is the best time to send these particular kinds of emails.

I've used mail gun for many, many years to programmatically send emails.

I guess that would be called transactional. So based on people that sign up for different stuff, I would send them emails on our teaching courses.

MIT would manage the email sending through the API and mail gun because you can use, I think I've used both JavaScript and Python to do all kinds of emailing and it just takes care of all the hard work for you.

Of course, you can also use it for marketing emails. You can automate a lot of that. You can both write it and send it all that kind of stuff.

The list of features is huge, but the most important thing honestly is that it's just reliable. So go to lexfreedman.com slash mailgun to learn more.

This episode is also brought to you by Scale, the machine learning assisted data labeling platform.

Scale Rapid works with any use case or task, including image, video, text, annotation and classification, 3D data.

And it supports 20 plus languages. I've said time and time again that the success of a machine learning system in the real world has a lot more to do with the data, meaning the annotations on that data, the data selection itself, and then the quality of the annotation.

That's way more important than the machine learning model architecture, whatever the neural network magic that you're doing is not nearly as important as the quality of the data.

...