1:27
Peter traces the beginning of his modern AI journey to returning to Microsoft in 2010 to work on Kinect for Windows
2:10
He explains why bringing researchers, scientists and product engineers together became one of the problems he most enjoyed solving
3:45
Peter reflects on leading scientists and engineers together and eventually building an applied AI research organisation of roughly 100 people at Apple
5:05
After Microsoft, Amazon, startups and Apple, Peter explains why he became interested in working differently rather than taking another full-time big-tech operating role
8:02
Peter recalls leading engineering at Amazon, including Alexa voice shopping, before an unexpected opportunity arrived from a tiny AI startup
9:06
With a major job at Amazon, Peter considers the prospect of leaving for a roughly 16-person academic AI company and his reaction is essentially, "hell yes."
10:17
Peter describes the "give and get" that made Xnor.ai compelling: learning from exceptional academic founders while contributing the industry engineering experience they needed
12:30
He explains the challenge of combining experimental AI research with the engineering discipline required to build products reliably at scale
14:00
Peter explains how Xnor.ai was pushing sophisticated computer vision onto constrained edge devices rather than relying on large servers
16:58
After Xnor.ai's acquisition, Peter explains why Apple's control of hardware, software and specialised AI hardware creates such an unusual environment for solving difficult technical problems
18:45
Peter describes Apple's willingness to ask "what if it could?" and how that mindset creates room for research teams to tackle problems that initially appear impossible
22:46
Peter goes back to age seven, when he discovered BASIC programming before his family owned a computer and began learning with pencil and paper
24:20
An early engineering experience at IBM shows Peter what building software professionally could look like
25:20
His first period at Microsoft raises his understanding of what technical excellence could be and begins his transition from engineer into leader
27:22
Peter reflects on money and motivation, admitting that there have been times when he felt he would have paid for the opportunity to do the work he was being paid to do
28:30
He remembers the intimidation of presenting to Bill Gates as a young engineer and why being surrounded by exceptional people became an opportunity rather than something to avoid
32:36
Peter explains the entrepreneurial risk calculation that has repeatedly pulled him toward startups despite knowing how often they fail
33:43
He remembers running a startup that was running out of money, facing payroll for roughly 40 people and carrying around $20,000 on an American Express card with no obvious way to pay it
35:00
Peter reflects on the difference between being the person who owns the problem and entering a new stage of his career where his job is to help someone else succeed with theirs
37:36
Asked who helped him along the way, Peter begins tracing some of his most important leadership ideas back to individual mentors and colleagues
38:47
A colleague gives Peter a lesson after he becomes an executive: "the things that got you here are not the things that are expected of you."
39:20
Peter explains one of the difficult transitions into executive leadership: recognising that the right decision for the company may sometimes negatively affect your own team
41:17
Asked why people continued to bet on him, Peter points to passion, synthesis and a belief that sincerity is a virtue rather than a vice
41:55
He reflects on the mistakes accumulated across technology, leadership and entrepreneurship, and why some lessons can only be learned by running into the wall yourself
45:18
Peter responds to Anthony's observation that his career seems to have been driven more by opportunity, learning and contribution than by continually optimising for himself
47:04
Looking ten years ahead, Peter admits that this part of his life feels like undiscovered territory
47:35
He explains why it is difficult for him not to "stay in the game" and considers the possibility that, for certain people, retiring to the beach was never really going to be the answer
48:20
Peter turns toward giving back and passing on the hard-to-learn knowledge that mentors and colleagues once shared with him
48:45
He talks about the things younger leaders rarely get taught explicitly, including what actually happens in boardrooms, executive meetings and decisions about compensation
51:00
Anthony and Peter close on the idea that staying involved can be both an act of creativity and a way of paying forward the opportunities other people once gave you
