In The Blink of AI with Georgie Healy

Lucas Cantor has an unusual claim on the AI conversation. In 2019, Huawei asked him to finish Schubert's Unfinished Symphony using artificial intelligence, and he did it. He's an Emmy-winning composer who has worked on every Olympics since 2002, produced a cover of Everybody Wants to Rule the World with Lorde, and now invests in music technology. His new book is Unfinished: The Role of the Artist in the Age of Artificial Intelligence.
In this episode Georgie Healy gets Lucas to take apart the story we're all being told about AI. Why he thinks nobody actually knows what the term even means. Why every single person he asks assumes AI can do the job they're not an expert in, and can't do the job they are. Why the claim that AI democratizes creativity is a fallacy sold by AI companies, and what it actually democratizes instead. Why B2B SaaS isn't dead, and who benefits from you believing it is. And why the music industry, supposedly murdered by Napster, is bigger now than it was before.
If you build, market, or operate anything, this is a useful hour of pressure testing. Lucas isn't a doomer and he isn't an evangelist. He's someone who has been inside the technology long enough to tell the difference between what it does and what it's sold as.
Recorded ahead of his first trip to Australia for BIGSOUND - which is September 1st - 4th in Brisbane!

Chapters:
00:00 Cold open
00:54 Welcome, and who Lucas Cantor is
02:49 The AI hack: stem separation
04:14 Taylor Swift's wedding
04:55 BIGSOUND, and the fear around AI in music
06:23 Why the purist argument falls apart
07:25 Tuning has drifted since the Renaissance
10:02 Composer, producer, author, investor
11:16 What Suno is, and the ethics problem
12:20 Why all music sounds better now
15:33 What it actually means to have your music stolen
16:56 Covering Everybody Wants to Rule the World with Lorde
19:19 Source Connect, Audio Movers, and remote studios
20:22 The fallacy that AI democratizes creativity
22:38 Black Swan, conductors, and the war on expertise
24:26 The doctor who said AI could write a pop song
27:38 Why he called himself a Luddite
30:18 Hans Zimmer's studio, and saying yes to Huawei
32:34 Finishing Schubert's Unfinished Symphony
37:00 "I don't think anybody knows what AI is"
38:49 Every AI agent ad shows something nobody needs
42:14 Hot take: is B2B SaaS dead?
45:13 AI is a story, and that's the problem
46:25 What actually wins in music tech
49:28 Amusing, but not amazing
50:20 Ben Affleck, Scorsese, and AI in the creative process
53:30 Two Emmys and a coach of the year award
55:36 The one takeaway from Unfinished
57:33 Georgie's Substack, Attention Is All I Need

Robin O'Connell spends his days inside LinkedIn's marketing and advertising team in Australia, working with founders and brands on content strategy - which makes him a rare voice on where AI genuinely helps marketers, and where it still falls flat. In this episode, Robin makes the case that the smartest move for any marketer right now is trying to replace parts of your own job with AI, just to find out fast what it can't do. His answer: strategy. AI can automate tactics at scale, but it still can't replace the judgement that comes from genuinely understanding a customer.
Georgie and Robin get into how brands actually stand out on LinkedIn (hint: it's not by looking like Apple), why comments and DMs are a better growth signal than impressions, and how to tell when AI-written content is quietly killing your credibility.
The standout story, though, is personal: Robin's dad Dennis, a serial entrepreneur in Dublin who lost his retail business during COVID, now runs a landscaping venture - and uses AI image generation on an iPad to show clients exactly what their garden will look like before a single spade hits the ground. It's one of the clearest, most human examples of AI actually changing how someone runs a small business.
Find Robin on LinkedIn for more on marketing, AI, and content strategy.

Freddie McKenzie is the co-founder and CEO of Manifest, an AI platform that helps creative and marketing agencies capture the real value of their work without timesheets. Before Manifest, he built and exited VIVID Creative, an Auckland-based production agency behind campaigns for Jetstar and other major brands, and in this conversation with Georgie Healy he traces that journey and where he thinks AI agents, and the AI hype cycle, are actually heading.
Freddie shares his AI hack of stacking meeting transcripts to actually see progress over time, and explains why he refuses to automate the one interface he thinks matters most: his inbox. He unpacks why Manifest's CTO built a proprietary AI model instead of wrapping an off-the-shelf one, the real story behind Manifest's $2 million pre-seed raise in a tough funding market, and his take on why most companies experimenting with AI agents still can't get past their first prompt. He also makes the case that the so-called SaaS apocalypse is a myth, and shares his simple rule for founders chasing product-market fit: find the ugly problem, not the sexy one.
Mentioned in this episode:
Deel x PX_Post Intro

Welcome to the first ever episode of AI Icons, a new thing I'm launching on the show. Here's the idea: the people reshaping tech have stories more entertaining than anything Hollywood is putting out, so in under 30 minutes I'm going to tell you the whole story, the good, the bad, and the ugly, but only the facts. No spin. And at the end, I'll give you my two cents on what actually made them an icon, and whether it's something you and I could ever replicate.
First up is Mira Murati, and I'll admit it, I'm a fan. I take you all the way back to her childhood in isolated post-communist Albania, where maths was the one subject the party couldn't rewrite, through a scholarship in Canada, degrees in maths and mechanical engineering, and a Goldman Sachs floor in Tokyo at 21. Then it's Tesla and those ridiculous Falcon Wing doors, a risky bet on a startup called Leap Motion, and the move that made her famous: OpenAI, where she rose to CTO and helped bring DALL-E and ChatGPT into your life.
And then there's the part that genuinely reads like a thriller. The 72 hours in November 2023 when Sam Altman was fired, Mira was named CEO, and a 52-page memo and a string of 2:30am texts sat right at the center of it. I walk you through what we know, what we still don't, and what came out under oath. I finish on her next act, Thinking Machines Lab, the record-breaking raise, the talent exodus, and why, out of my four Gs, I think one of them explains her better than the rest. Come find out which one.
In the Blink of AI is made possible by our wonderful partners
Deel
Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, and get visas handled fast, so you stay focused on scaling. Deel takes care of onboarding, HR, IT, EOR, benefits, and compliance, so your team can grow without borders.
It’s why more than 40,000 fast-growing companies trust Deel to move fast.
Visit https://www.deel.com/dayone

✨ Connect with Georgie Healy
Weekly Substack: https://georgiehealy.substack.com/
Linkedin: https://www.linkedin.com/in/georginahealy/
Instagram: https://www.instagram.com/georginahealytech/
The Day One Network
In The Blink of AI is part of Day One, the podcast network dedicated to founders, operators & investors.
Sign up to get your weekly insights into the up-and-coming AI startups: https://dayone.fm/newsletter

Peter Gostev is head of AI capabilities at Arena (LMArena), the community-based platform where millions of real people vote in blind tests to rank AI models, born out of research at UC Berkeley. Before Arena, Peter was Head of AI at Moonpig and built a large following sharing hands-on explorations of what the latest models can actually do. He joins Georgie Healy from London for a genuinely nerdy, insider look at how models are judged and where the frontier is heading.
In this episode, Peter explains the difference between static benchmarks and human judgment, and why a model can pass every test you write and still produce something that looks completely awful. He breaks down the current state of the leaderboards, why Anthropic's models are dominating and how that tracks with real world adoption, and gives a sharp comparison of the top Western models, including why Anthropic's non-reasoning models are exceptional while OpenAI's strength lies in deep reasoning. Georgie and Peter get into why people aren't using Chinese models more despite their quality, the economics behind AI pricing and how enterprise usage is priced very differently from consumer subscriptions, why release cadence matters as much as capability, and what the wave of data centre investment means for the models arriving next. Along the way there's a fond detour on Opus 3 as the model you could talk to for hours, and why better models can sometimes feel worse.
Tune in for a clear-eyed, hype-free guide to how AI models are really evaluated, straight from someone who watches the charts move in real time.
Mentioned in this episode:
Deel x PX_Post Intro