🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Episode Summary

Anish Sinha, co-founder of upcover, blends his background in finance, startups, and risk management to tackle one of Australia’s overlooked challenges: the future of AI and innovation policy. From building a modern insurance platform serving 60,000+ businesses to sounding the alarm on Australia’s absence of AI strategy, Anish’s story shows how bold thinking and practical execution go hand-in-hand.

In this conversation, he shares insights on why the government’s silence on AI is a major risk, how Australia could learn from China’s tech playbook, and how AI agents will reshape the future of business operations — including in highly regulated industries like insurance.

Time Stamps

01:10 – Introduction: Who is Anish Sinha & What upcover Does

02:49 – Why Insurance Tech Is “Sexy” When You Frame It as Risk

04:54 – From Goldman Sachs to Founder: Finance Lessons for Entrepreneurs

09:23 – Australia’s Federal Budget Omits AI: The Strategic Blind Spot

13:11 – What Australia Can Learn from China & the U.S. on Innovation Policy

18:39 – Cybersecurity Funding Crisis: Why $20 per Business Isn’t Enough

22:35 – AI Agents Unpacked: Hype, Promise, and Agent-to-Agent Flows

30:51 – upcover’s AI in Action: Automating Quotes & Data Structuring

36:34 – Hot Takes: Aussie Deep Tech Faves (Samsara Eco, Cover Genius, Gilmour Space)

42:18 – Future Insurability: Climate Risk, AGI Concerns & Startups to Watch

Resources

🙋🏻‍♂️ Anish Sinha’s LinkedIn – https://www.linkedin.com/in/anishsinha13/

🏢 upcover Website – https://upcover.com/

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🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Episode Summary

Alain Richardt, founder of Atomic Tessellator, combines deep expertise in chemistry, quantum mechanics, and AI to accelerate groundbreaking discoveries in material science. From childhood experiments with toxic chemistry sets to building high-powered simulation tools capable of modeling complex atomic interactions, Alain’s journey highlights the transformative potential of marrying traditional chemistry with cutting-edge AI. In this conversation, he explains how AI-driven simulations now achieve results thousands of times faster than traditional methods, shares ambitious projects like developing fusion reactor materials, and reveals the exciting future of “declarative materials” where scientists specify desired properties, and AI generates the perfect material match.

Time Stamps

02:21 – Alain’s Early Chemistry Adventures & Favourite Element (Molybdenum)

05:12 – Mercury Experiments: Crazy Ideas & Influential Teachers

08:19 – Why Alain Founded Atomic Tessellator: Fixing Broken Chemistry Tools

11:38 – Force Field vs. Quantum (DFT) Simulations Explained

15:25 – How Cloud Computing & AI are Revolutionising Chemistry Simulations

17:53 – Promising Applications: Fusion Reactors & Plasma-Facing Materials

23:08 – When AI Simulations Go Rogue: Unexpected (and Expensive) Results

26:04 – Decoding AI Headlines: Schrödinger’s Cat & Quantum Computing Explained

35:09 – Measuring Success as a Founder: Experimental Parity & New Material Discoveries

41:39 – Hot Takes: Periodic Table Merch, Atomic Cocktails, and the Joy of Being a Rebel Founder

Resources

🙋🏻‍♂️ Alain’s Linkedin - https://www.linkedin.com/in/alain-richardt/

🔬 Atomic Tessellator - https://www.linkedin.com/company/atomictessellator/

⚛️ Interactive Periodic Table https://atomictessellator.com/ptable

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🎟 Live Show at UNSW – May 29

Catch Georgie and Andrew McCarthy (Head of APAC at Notion) live in Sydney 👉https://bit.ly/BAI-LiveEvent

Episode Summary

Will Liang, former CTO and Executive Director at MA Financial and a LinkedIn Top Voice in AI, joins the show to unpack the real-world impact of AI on business. A professional Go player turned deep tech expert, Will shares why most AI agents are just glorified workflows, why Perplexity AI is winning without its own model, and how companies can move beyond AI as a buzzword to embed it into their core operations. He also weighs in on whether Nvidia will remain dominant, how Claude and Gemini stack up against ChatGPT, and what he'd prioritize if he were CEO of OpenAI.

Time Stamps

01:20 – From MA Financial to AI Venture: Will’s bold new chapter

05:35 – Why most businesses still don’t actually use AI

07:18 – The “Purple Person” bridging tech and business

08:56 – What AlphaGo taught Will about the future of AI

11:16 – What is an AI agent? Will’s pineapple analogy

16:00 – Financial services + AI: A real-world use case

18:20 – Does AI raise the ceiling—or just the floor?

24:00 – Perplexity AI’s $18B valuation without its own LLM

30:06 – The “AI-first” mindset and Will’s productivity hack

33:47 – Will Nvidia stay dominant? Or is Apple, Google, DeepSeek catching up?

38:39 – Claude vs. ChatGPT vs. Gemini – What Will uses and why

Resources

👨‍💻Follow Will Liang on LinkedIn

Weekly insights and top 5 tech takeaways – linkedin.com/in/willliang

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Episode Summary

Georgie Healy speaks with Elena Tsalanidis and Justin Hansky, co-founders of Deeligence, a legal AI startup transforming the way law firms handle M&A due diligence. Both ex-lawyers, Elena and Justin share how their deep domain expertise led them to build an AI platform that accelerates contract review with accuracy lawyers can trust, without ever compromising on confidentiality.

They reveal why generic tools like ChatGPT fall short in legal workflows, and how Deeligence combines machine learning with human oversight to safely automate one of the most tedious parts of legal practice. The duo breaks down the erosion of the billable hour, the rise of vertical AI tools, and why some partners still red-pen documents like it’s 1998.

Throughout the episode, they reflect on the cultural barriers to AI adoption in law, the importance of custom training data, and the pressures of building AI-native products for regulated, high-stakes environments. Elena and Justin also share candid takes on fundraising, global expansion, and how legal AI can empower rather than replace lawyers.

Whether you’re in law, tech, or somewhere in between, this episode offers a rare look into building AI that doesn’t just work, but works where it really matters.

Time Stamps

01:06 – Big Announcement: The First-Ever Live Show

Georgie reveals exciting news about In the Blink of AI going live at UNSW.

01:31 – Introducing Deeligence

Meet co-founders Elena and Justin, who left corporate law to build an AI platform for M&A due diligence.

02:19 – The Billable Hour: Why It’s Getting Eroded

How AI is forcing law firms to question time-based billing.

05:00 – Why ChatGPT Doesn’t Cut It in Legal

Elena explains the confidentiality nightmare and “hallucinations” that make generic LLMs risky.

09:29 – Will AI Replace Junior Lawyers?

Elena and Justin share their nuanced take on the future of entry-level legal roles.

12:50 – Supercharging, Not Replacing

Why Deeligence focuses on helping lawyers rather than automating them out of a job.

16:18 – Avoiding AI Hallucinations

Justin on how Deeligence meticulously sources evidence to ensure accurate contract summaries.

28:33 – Scaling Deeligence Globally

Why expanding into the UK and US is a natural next step—and what it takes to get there.

34:18 – Hot Takes: Vertical AI vs. Everything Else

Elena and Justin weigh in on AI agents, overhyped tools, and why deep domain expertise wins.

46:36 – The Best (and Most Real) Legal TV Show

Justin’s pick for legal TV done right—and why he loves it more than Suits.

Resources

🎤Live show announcement: In the Blink of AI is going live on Thursday, May 29 at University of New South Wales (UNSW) featuring Andrew McCarthy, Head of APAC at Notion.

📍https://bit.ly/BAI-LiveEvent

💼Deeligence: The AI-powered legal tech startup transforming M&A due diligence.

https://www.deeligence.com

🙋‍♀️ Elena’s Linkedin - https://www.linkedin.com/in/elena-tsalanidis/

🙋🏻‍♂️ Justin’s Linkedin - https://www.linkedin.com/in/justin-hansky-70154693/

📺Fisk – Justin’s favourite legal TV show, starring Kitty Flanagan https://iview.abc.net.au/show/fisk

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Episode Summary

Denise Farmer, General Manager of APAC at Clio, the world's largest legal technology platform, joins Georgie Healy to discuss how artificial intelligence is reshaping the legal sector. With over 20 years in legal tech, Denise highlights why lawyers using AI will outperform their competitors and why fears of AI replacing lawyers are misguided.

She explains how AI tools are eliminating administrative tasks, reshaping billing models beyond hourly rates, and opening the door for more accessible legal services. Denise also shares insights into Australia's progressive regulatory stance on responsible AI use, the ethical implications lawyers must consider, and practical steps for legal professionals adopting AI in their practice.

This conversation offers clear insights into AI’s transformative impact on law firms, providing lawyers and legal tech enthusiasts actionable strategies to leverage these tools safely and effectively.

Time Stamps

00:00 – Introduction

02:56 – Australia's legal tech future and rapid AI adoption

08:41 – The shift from hourly billing to AI-driven pricing models

12:47 – Will AI replace lawyers? Why adopting AI is critical

17:58 – Moving beyond admin tasks: Focusing lawyers on strategic, high-value work

21:00 – AI use cases transforming law firms (and pitfalls to avoid)

30:16 – Predicting AI’s impact on law firms in the next 5 years

Resources

- Denise Farmer’s LinkedIn https://www.linkedin.com/in/denisefarmer/

- Clio – Leading cloud-based legal technology platform https://www.clio.com/

- Clio’s Legal Trends Report – Insights into billing models and productivity https://www.clio.com/resources/legal-trends/

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Rocking Horse - November 2024

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Episode Summary

Georgie Healy speaks with Michelle Gilmore, co-founder of Juno, an AI-driven interviewer built to deeply understand customers without bias. Michelle, a seasoned behavioural researcher, reveals the overlooked importance of thorough customer research, sharing why so many founders avoid it despite its immense value. She explains how Juno overcomes human biases in traditional surveys, enabling businesses of all sizes to access honest, real-time insights previously reserved for companies with large budgets.

Michelle outlines her rigorous approach to building an AI product, rooted in experimentation, continuous validation, and a willingness to venture into uncertainty. She also discusses the challenges and paradoxes of scaling an AI startup, including navigating abundance and staying mission-focused.

Throughout the conversation, Michelle offers candid reflections on her entrepreneurial journey, the reality of running a venture-backed AI company, and why success hinges on deeply understanding human behaviour. She also touches on Juno's thoughtful personality design, balancing neutrality with empathy to capture truthful customer experiences.

Time Stamps

01:10 – Introducing Michelle Gilmore and the vision behind Juno

02:19 – Why so many founders fear talking directly to customers

05:00 – When should founders start customer research? (Hint: it's immediately)

07:24 – What does a behavioural research expert actually do?

09:18 – How AI helps overcome human bias in surveys and interviews

13:42 – The hidden dangers of relying on biased data (Michelle shares a shocking story)

16:35 – You've gathered customer data. What's next?

21:07 – How Juno's personality was thoughtfully designed

25:59 – Can AI models really detect human emotions during customer interviews?

34:05 – The hardest part of building an AI product that no one talks about

38:23 – Navigating the tough choices: are there companies Juno wouldn’t work with?

40:35 – Michelle’s view on uncertainty and why founders should embrace it

47:01 – What really keeps a venture-backed founder awake at night

Resources

Michelle's email - [email protected]

Michelle's LinkedIn - https://www.linkedin.com/in/michellejoygilmore/

Juno – AI-led customer interviews for unbiased insights (https://www.heyjuno.co)

Neo – Michelle's previous channel-agnostic design agency

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Rocking Horse - November 2024

Episode Summary

Georgie Healy goes solo to address listeners' burning questions about AI's impact on jobs, careers, and the future of work. Drawing on insights from previous podcast guests, Georgie explores which jobs AI will transform, how professionals can adapt, and why emotional intelligence might be our greatest advantage. She also shares her personal journey, from chemical engineering to running Google's AI accelerator, offering actionable advice to stay competitive and fulfilled in an AI-driven world.

Time Stamps

00:00 – Georgie's first solo episode & her unconventional career journey

02:18 – Will AI take your job? Georgie's candid take

03:29 – Jobs most likely impacted by AI (hint: intuition matters!)

06:00 – Is AI really an existential risk? Georgie addresses fears & myths

08:03 – Companies making waves in AI (and why it matters)

10:03 – AI tools and skills YOU should be mastering right now

12:53 – The best strategies for upskilling (practical tips!)

13:11 – Georgie's personal career bet: why she's doubling down on her strengths

15:11 – Final advice: Leveraging AI to empower your career (with a memorable quote!)

Resources

Georgie’s Linkedin: https://www.linkedin.com/in/georginahealy/

Georgie’s Instagram: https://www.instagram.com/georgina_healy/

Mentioned in this episode:

Rocking Horse - November 2024

Episode Summary

AI isn't just assisting game developers; it's changing how games are fundamentally experienced. Marty Burgess, CEO and co-founder of Lightning Forge Games (LFG), explores the game-changing (literally!) potential of AI agents that seamlessly replace players during internet outages, replicate pro gamers, and even play on your behalf. He reveals how LFG's AI-driven gaming tools aren't just for internal use, they're opening up a SaaS platform, Saturn AI, to share these innovations across the industry.

Marty explains the concept of "perfect game balance" and "dynamic worlds," detailing how AI can deliver tailored gaming experiences suited precisely to individual players. He shares his personal gaming inspirations, from childhood favourites to the current landscape of hyper-personalised, always-evolving gameplay. Marty and Georgie also discuss the importance of making games as fun to watch as they are to play, why AI can transform traditional storytelling in gaming, and the challenges of managing high compute costs.

Throughout the conversation, Marty emphasises inclusivity in gaming, celebrates the diverse gaming community, and discusses the upcoming showcase of LFG's flagship title, Gladiator Mayhem, at the Game Developers Conference.

Time Stamps

00:00 – Replacing disconnected gamers seamlessly with AI agents

01:32 – Introduction to Marty Burgess, CEO of Lightning Forge Games (LFG)

02:33 – Marty shares the inspiration behind his passion: Sid Meier's Pirates

04:58 – How LFG uses AI at the core of gaming experiences

07:24 – AI agents playing on your behalf: revolutionary or controversial?

09:04 – Filling multiplayer matches instantly using AI-driven agents

12:10 – What exactly is "perfect game balance"?

14:39 – Using AI to process massive amounts of game data effectively

19:22 – Can AI help non-gamers discover a love for gaming?

25:00 – How AI could make interactive fiction hyper-personalised

29:02 – Understanding the concept of a "dynamic world" in gaming

34:01 – AI playing Pokémon & Mario: Is it a good indicator of AI's potential?

37:00 – Will people actually enjoy watching AI play games?

39:05 – Lightning Forge Games announces its flagship title, Gladiator Mayhem

40:53 – Rapid-fire Q&A: Marty names gaming’s GOAT (sort of!)

43:21 – Marty’s passionate take on the best age to get into gaming

45:10 – Hiring dilemma: Choose between an AI expert or an avid gamer?

47:58 – Marty’s shout-out: How listeners can support Lightning Forge Games

Resources

Marty’s Linkedin - https://www.linkedin.com/in/marty-burgess/

Lightning Forge Games (LFG) – AI and blockchain-powered gaming studio - https://lightningforge.games/

Saturn AI – LFG’s upcoming SaaS product bringing AI agents to all game developers

Game Developers Conference (GDC) – Premier professional event in gaming - https://gdconf.com/

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Rocking Horse - November 2024

Episode Summary

AI can transform how you work, and you don’t need to be an expert to take advantage of it. Gareth Rydon, co-founder of Friyay, breaks down some of the most powerful AI tools for productivity, from meeting transcription assistants to AI-powered shopping hacks. This episode dives into practical ways to integrate AI into everyday tasks, how to think about AI models like ChatGPT, Claude, and Gemini, and why you should stop stressing over perfect prompts. Plus, Gareth shares his insights on the evolving landscape of generative AI, the competition between LLMs, and which AI tools are actually worth your time.

Time Stamps

00:00 – Intro: The myth of the "perfect prompt" and why you don’t need to save lists of them

02:18 – What is Friyay, and how it helps businesses implement AI

03:22 – The AI tool that made Gareth’s LinkedIn post go viral

05:34 – AI in real life: Using ChatGPT for meal planning and school schedules

09:04 – AI Tool #1: Otter AI – The best AI-powered meeting assistant

13:19 – Why AI note-taking is better than manual transcription

17:35 – How accurate are AI transcription tools?

22:32 – The AI model race: OpenAI vs. DeepSeek vs. Google vs. XAI

26:02 – The celebrity personalities of AI models (ChatGPT as Matt Damon?)

32:20 – AI Tool #2: GPT-4o’s 03 Mini Mode – The ultimate online shopping assistant

37:43 – Pro tip: How to find discount codes with AI

41:55 – Why you should ask AI to prompt itself

Resources Mentioned

1. Friyay – Generative AI studio helping businesses integrate AI (https://www.friyay.ai)
2. Otter AI – AI-powered meeting transcription and note-taking (https://otter.ai)
3. ChatGPT 03 Mini – OpenAI’s reasoning model, great for online shopping (https://openai.com)
4. DeepSeek AI – Open-source LLM making waves in AI accessibility
5. One Useful Thing – AI insights from Ethan Mollick

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Rocking Horse - November 2024

Episode Summary

In this episode of "In the Blink of AI," host Georgie Healy interviews Steve Hind, co-founder of Lorikeet, a leading AI customer support platform tailored for complex industries like FinTech and health tech. Steve discusses the evolving landscape of AI, addressing common misconceptions about its capabilities and the importance of prioritising customer experience. He emphasises that delivering effective support, whether through humans or AI, hinges on the intent and goals of the business.

Steve elaborates on the uniqueness of Lorikeet's platform, which enables companies to train AI agents to handle intricate support queries, and highlights the significance of understanding the diverse needs of customers across various sectors. The conversation also touches upon the recent $14 million funding round for Lorikeet and the impact of AI technologies like Retrieval-Augmented Generation (RAG) in enhancing customer support.

Throughout the discussion, Steve shares insights on the importance of empathy in AI interactions, the role of customisation in chatbot personalities, and the necessity for businesses to adapt to the fast-paced AI advancements. He concludes with a reminder to approach AI with a mindset focused on improving customer experiences, urging listeners to be kind to AI as it continues to evolve.

Time Stamps

00:00 – Why AI customer support gets a bad reputation

01:52 – What makes Lorikeet different from other AI support tools

02:49 – Why banks and healthcare companies need AI-driven customer support

09:00 – What is RAG, and why does it matter for AI-powered customer service?

14:09 – The biggest mistake AI chatbots make in customer support

16:26 – What does "agentic reasoning" really mean?

19:12 – The cost of running AI models and why RAG reduces compute power

27:46 – AI tools Steve uses every day (and his take on Perplexity and Replit)

30:36 – How to stand out when applying for an AI job

39:18 – What people get wrong about AGI and AI scaling laws

Resources Mentioned

Lorikeet – AI-powered customer support for FinTechs and health techs (https://www.lorikeetcx.ai/)

Blackbird Ventures, Square Peg, Skip Capital – Major investors in Lorikeet

Replit & Cursor – AI-powered developer tools for software engineering

Perplexity AI – AI search and research assistant

Superhuman AI – AI-powered email client with automated responses

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Rocking Horse - November 2024