Sebastian understands the rigour of academia better than most having completed his PhD and led MindX - a “revolutionary applied science agency” applying principles and learnings from innovative neuroscientific and psychological research in a corporate setting to help companies achieve better outcomes. He’s also managed operations at the Future Minds Lab, an innovative science agency that publishes a range of diverse research, and develops tools for companies, distilling relationships and applications of neuroscience and psychology.
He’s now transferred his approach to one of Australia’s fastest growing tech companies, Canva, leading teams to design features like Magic Design, information architecture and machine learning driven content recommendations.
"The less time we spend with, primary data, reading entire papers, for instance, instead of just getting AI to summarize and reading the summaries the, the less we're going to be able to really spot those areas where AI is deviating from a fair representation of the world."
"What you choose not to do that makes the things that you do end up choosing to do so much more meaningful. It's the doors you close that you know, give meaning to the experiences you do end up going on to have."
"Experiencing imposter syndrome, there's a real concern that you're going to get found out, that there will be a moment where people around you spot you for the fraud you are and realize you're just not as competent as you are."
What got Sebastian interested in psychology and AI (1:04)
AI and creativity (6:43)
How AI can broaden our scope of work (11:32)
The biases in AI (16:46)
Rapid-Fire Questions (22:22)
Imposter Syndrome (26:31)
Academia vs Industry (32:31)
Perfectionism as a barrier to behaviour change (35:24)
How my interest in behaviour change has changed (37:07)
"Having AI that sort of sits alongside you as a collaborator is something that can really change the way that we operate and think and process information and process ideas."
"If you just add at the beginning of your prompt, 'take a deep breath,' literally just the words, 'just take a deep breath.' The model itself will change its response quite sort of dramatically and it'll actually be a little bit better at stepping through logical steps."
"I think that there's a future, perhaps not too far from now, where our ability to detect these kinds of biases (in AI) is kind of constrained because it depends on humans being able to actually notice them and catch them and measure them."
"One of the absolute biggest changes or the biggest differences is the pace of work. So in industry, typically you're moving much, much faster instead of research projects taking, you know, months or sometimes years, they take weeks, sometimes even days."
"Instead, what you need is directional guidance. You need to produce knowledge that will push development in a direction that is more likely to be beneficial for your users, for instance, or for the outcomes that you're trying to achieve."
"It's better to make some progress than get tied up in, whether or not you're making the right decisions and then not end up making any decisions at all."
Ideas
Experimental evidence on the productivity effects of generative artificial intelligence | Shakked Noy & Whitney Zhang
Quote from abstract can be found here (from an earlier version of the paper)
4000 Weeks | Oliver Burkeman
The imposter phenomenon in high achieving women: Dynamics and therapeutic intervention. | Susan Imes & Pauline Clance
Your Secret Mental Weapon: 'Don't Let the Perfect Be the Enemy of the Good' | Neil Patel
AI Models