Waves in the Finoverse
Claim This Podcastby Finoverse
Podcast Overview
<p>From innovators to investors, dive deep into the minds of top leaders shaping the future of AI, FinTech, Web3, and Crypto. Discover how artificial intelligence is transforming industries and driving the next wave of innovation.</p><br><p>This is Waves in the Finoverse – The Podcast.</p><br><p>Subscribe and follow Waves in the Finoverse now to get the latest episodes delivered straight to your device. See you in the Finoverse! </p><p><a href="http://www.finoverse.com/" rel="noopener noreferrer" target="_blank">www.finoverse.com</a></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
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Publishing Since
10/20/2022
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Recent Episodes
June 15, 2026
This Man Visited the Best AI Labs in China. Here's What He Saw | Matt White
<p><a href="https://www.linkedin.com/in/mdwdata/" rel="noopener noreferrer" target="_blank">Matt White</a> is the AI CTO at the Linux Foundation. He just got back from visiting DeepSeek, Moonshot, Zhipu, Qwen, and Minimax in China.</p><br><p><strong>In this episode:</strong></p><p>- What he saw inside China's top AI labs that the West doesn't know</p><p>- 4 Chinese breakthroughs US labs are quietly building on</p><p>- Why export controls backfired and forced China to innovate faster</p><p>- 150 humanoid robot startups, China builds the body, America builds the brain</p><p>- The biggest mistake enterprises make with AI</p><p>- Where he'd put $1M in AI right now</p><br><p><strong>Chapters</strong></p><p>00:00 Intro</p><p>00:54 Inside China's AI Labs</p><p>09:43 DeepSeek's Culture & the Distillation Debate</p><p>17:03 Open Source Models vs Commercial APIs</p><p>27:28 How Startups Should Choose Their AI Stack</p><p>41:17 Agentic AI Safety & Multi-Agent Systems</p><p>53:08 Enterprise AI Mistakes & Where to Start</p><p>01:08:26 The Future of Agentic Commerce & One-Person Companies</p><br><p><a href="https://www.linkedin.com/in/mdwdata/" rel="noopener noreferrer" target="_blank">Follow Matt White</a></p><p><a href="https://www.linkedin.com/in/anthonysar/" rel="noopener noreferrer" target="_blank">Follow Anthony Sar</a></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
May 28, 2026
The real reason behind every AI layoff | Maxim Afanasyev, FSI Head for APAC and Japan, Google Cloud
<p><a href="https://www.linkedin.com/in/maxim-afanasyev-phd/" rel="noopener noreferrer" target="_blank">Maxim Afanasyev</a> has been coding large language models for over 20 years, long before the AI boom. He's an applied AI expert who's worked at McKinsey building AI transformations and now leads AI strategy at Alphabet.</p><br><p>Maxim and <a href="https://www.linkedin.com/in/anthonysar/" rel="noopener noreferrer" target="_blank">Anthony</a> discuss why 95% of AI applications don't deliver bottom-line impact, the global shortage of applied AI experts (only 200 mature professionals worldwide), and why banks are solving yesterday's problems instead of tomorrow's value propositions.</p><br><p>They cover why LLMs became persuasion machines by learning human biases, how customers are now smarter than banks because of AI agents, and why agentic payments will force financial institutions to rethink their entire business model. Maxim also explains why cutting 20% of your workforce signals that your CEO failed at transformation.</p><p><br></p><h1>Timestamps</h1><p>00:00 Intro</p><p>01:08 Coding LLMs 20 Years Ago in a Soviet-Era AI Lab</p><p>06:02 How RLHF Turned Neural Networks into Machines for Persuasion</p><p>10:48 From AI Winter to AI Hype: What Actually Changed</p><p>13:40 Why 95% of AI Applications Fail to Deliver Bottom-Line Impact</p><p>20:22 The 200 Applied AI Experts Problem</p><p>25:27 How to Nurture Applied AI Talent Through Experimentation</p><p>32:52 Why Bank Chatbots Create Dead Weight Loss</p><p>42:48 How AI-Smart Customers Are Breaking Legacy Banking Models</p><p>52:08 Asia's Lead in AI Adoption & Why Banks Must Rethink Value</p><p>01:04:14 Agentic Payments, Trust & the Renaissance of Physical Experience</p><p>01:16:25 Agents, Regulation & the Future of Human-AI Interaction</p><p>01:25:00 AI Deepfakes, Recruitment Fraud & the URL-to-IRL Shift</p><p>01:35:04 Why CEOs Who Cut Jobs for AI Are Really Admitting Failure</p><p><br></p><ul><li>Follow <a href="https://www.linkedin.com/in/maxim-afanasyev-phd/" rel="noopener noreferrer" target="_blank">Maxim Afanasyev</a></li><li>Follow <a href="https://www.linkedin.com/in/anthonysar/" rel="noopener noreferrer" target="_blank">Anthony Sar</a></li></ul><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
December 16, 2025
Where the Smartest AI Investors Are Putting Their Money
<p>As this year sets a $200B record for AI funding, Esther Wong and Antoine Blondeau debate over the future of AI investing at <strong>Hong Kong FinTech Week x StartmeupHK</strong> Festival 2025.</p><br><p>Wong is a former SenseTime executive and one of Asia’s leading AI infrastructure investors, and Blondeau is an early OpenAI investor and a pioneer behind the foundational technology that became Siri.</p><br><p>The two investors sit down with Anthony Sar and tackle the biggest question shaping AI investing today: will the real returns come from AI infrastructure or AI applications?</p><br><p>It’s a rare, unfiltered look at how the smartest people in AI are thinking today.</p><br><p>Connect with us here: </p><br><p><a href="https://www.linkedin.com/in/esther-wong-76a6a410a/" rel="noopener noreferrer" target="_blank">Esther Wong</a>: https://www.linkedin.com/in/esther-wong-76a6a410a/</p><p><a href="https://www.linkedin.com/in/antoineblondeau/" rel="noopener noreferrer" target="_blank">Antoine Blondeau</a>: https://www.linkedin.com/in/antoineblondeau/</p><p><a href="https://www.linkedin.com/in/anthonysar/" rel="noopener noreferrer" target="_blank">Anthony Sar</a>: https://www.linkedin.com/in/anthonysar/</p><p><a href="https://www.linkedin.com/company/finnovasia/" rel="noopener noreferrer" target="_blank">Finoverse</a>: https://www.linkedin.com/company/finnovasia/</p><br><p><strong>Timestamps</strong></p><br><p>00:00 Trailer</p><p>00:55 Introduction</p><p>02:14 Current State of AI Investment</p><p>04:19 Infrastructure vs. Application Layer</p><p>06:38 Future of AI and Investment Strategies</p><p>19:03 Advice for New AI Investors</p><p>24:13 Final Thoughts and Advice for Founders</p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
58 total episodes available
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- What is Waves in the Finoverse?
<p>From innovators to investors, dive deep into the minds of top leaders shaping the future of AI, FinTech, Web3, and Crypto. Discover how artificial intelligence is transforming industries and driving the next wave of innovation.</p><br><p>This is Waves in the Finoverse – The Podcast.</p><br><p>Subscribe and follow Waves in the Finoverse now to get the latest episodes delivered straight to your device. See you in the Finoverse! </p><p><a href="http://www.finoverse.com/" rel="noopener noreferrer" target="_blank">www.finoverse.com</a></p><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p> - How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
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