Ramin Hassani I Co-Founder & CEO of Liquid AI

Ramin Hasani is the co-founder and CEO of Liquid AI, and he has done what almost no one in AI has: built a real alternative to the transformer, the architecture behind ChatGPT and nearly every model you touch. Liquid AI raised a $250M Series A led by AMD, and by his own account now sits around $4.5 billion. The core idea did not come from a bigger data center. It came from the 302-neuron brain of a 2mm worm. We also get into the part most founders never put on a slide. While the whole field was stripping complexity out of neural networks to make them scale, Ramin spent seven years adding it back in, chasing an equation about how two neurons talk that had sat unsolved since 1907. He cracked it on a chalkboard at MIT, one now headed to the MIT history museum. Ramin was born in Iran and left for Politecnico di Milano, then a PhD at TU Wien in Vienna, where modeling the brain of a worm became Liquid Neural Networks. From there: MIT, CSAIL, a 2022 Nature paper, and in March 2023 spinning the research into Liquid AI alongside Daniela Rus, Mathias Lechner, and Alexander Amini. Our News Letter : https://substack.com/@seondnewsletter Ramin Hassani Linkedin : https://www.linkedin.com/in/alikashani Ardalan Javadi : https://www.linkedin.com/in/ardalanjam1369/ Farzam Hejazi: https://www.linkedin.com/in/farzam-hejazi-5b608081/ 00:00:00 Introduction  00:03::24 Why Noise Is Actually a Resource for Computation  00:06:01 Where the Whole Worm Idea Came From  00:6:56 Why Ramin Chose the C. elegans Worm as the Basis of His Research  00:10:19 How Ramin Found His First Co Founder  00:18:08 The Equation Ramin and His Team Solved That Had Been Unsolved Since 1907 00:19:06 The First Mathematical Attempt in 1953 to Show Neuron Relationships 00:19:41 What Is the Problem With Differential Equation Based Machine Learning? 00:21:29 The Aha Moment Behind Liquid AI  00:22:16 The Birth of Liquid AI  00:22:46 How Sergey Levine Inspired the Name  00:24:09 How Liquid AI's Architecture Differs From Transformers  00:25:09 The Relationship Between Bias and Algorithm Scalability  00:28:05 Why Liquid Neural Networks Have an Efficiency Advantage at Scale  00:29:41 Do Scaling Laws Apply to Liquid Models?  00:31:26 Attention Is Not the Only Thing You Can Scale  00:34:08 How the Liquid Search System Works  00:34:53 Why Liquid AI Has the Lowest Memory Usage and Latency and Why It Is Hybrid  00:35:00 The Best Foundation Model for CPUs  00: 37:30 How to Close Enterprise Customers in the AI Era  00:38:29 What Vanguard Taught Ramin About Financial Strategy  00:41:58 125 Enterprises Are Now Using the Liquid AI Model  00:42:56 How to Design a Revenue Model for Enterprise in the AI Era00:43:19 How Shopify Uses Liquid AI 00:44:00 How Mercedes Uses Liquid AI With a 600 MB Model  00:45:51 The Quality of $1 of Liquid AI Revenue Compared to $1 of Anthropic  00:47:13 Why Liquid Is Going After Arm's Business Model  00:52:53 The Story Behind Another Iranian Founded AI DNA Startup That Raised $200M in Seed  00:55:47 The Story Behind Liquid AI's $290M Fundraise  00:59:30 How to Close a Seed Round  00:1:00:17 The Mastermind Behind the Fundraising  00:1:02:57 The Story Behind AMD Leading the Round  1:04:56 Why Revenue Matters So Much for Fundraising  1:05:22 Liquid AI Is Now at a $4.5 Billion Valuation  1:05:51 Ramin's Insight on Building a World Class Network  1:07:32 Ramin's Takeaways From Meeting Jamie Dimon  1:08:31 Jamie Dimon's Pitch for Liquid AI  1:08:51 How to Build an Effective Short Narrative for Your Pitch  1:10:31 Leading by Example  1:11:07 What Is the Best Definition of Intelligence?  1:14:32 Silicon Valley Is a Gossip Town  1:16:22 Why an Exponential View Matters and How Sam Altman Does It References: Check our News Letter : https://substack.com/@seondnewsletter?r=2v0lej&utm_campaign=profile&utm_medium=profile-page About Us : Linkedin : https://www.linkedin.com/company/secondpodcast/ Twitter : /thesecondpod Instagram : https://www.instagram.com/thesecondpod/ #Secondpod #Second_Pod #پادکست ـ دوم #secondpod #پادکست