Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

In this episode of “Innovator Coffee" podcast, we featured an interview with Dr. Dimitry Chary from the MIT Media Lab. The discussion primarily focuses on MCP (Model Communication Protocol), explaining its role as a standardized JSON RPC schema that enables Large Language Models (LLMs) to interact seamlessly with various tools and services. The conversation also introduces Nanda, an MIT initiative aiming to establish an open, decentralized web of AI agents by addressing critical aspects such as agent discovery, reputation, security, and traceability, fostering a collective ecosystem for networked AI. While MCP excels in agent-to-tool communication, Nanda and other emerging protocols like A2A and ACP focus on the broader challenges of agent-to-agent interaction and a secure, accountable AI landscape.

Dr. Dimitry Chary is a researcher at the MIT Media Lab, where he works with Professor Ramesh Raskar in the decentralized AI group. He earned his PhD from UCLA in AI and computer vision.  At MIT, Dr. Chary focuses on a range of projects within the decentralized AI and networked AI agents space. His work includes:

• Decentralized AI.

• Networked AI agents.

Here is a summarized version of the podcast, broken down into six sections with timestamps:

• Introduction to Dr. Dimitry Chary and MCP's Core Purpose (00:03 - 05:43) 

• How MCP Servers Operate and Protocol Comparisons (05:43 - 13:03) 

• Technical Architecture of MCP (13:03 - 21:20) 

• The Nanda Project: Extending Beyond MCP (36:46 - 59:38) 

• Future Vision and Broader Implications of AI Agents (59:38 - 01:13:57) 

Hosts: 

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author 

*AI Security/EmergingTech Security Non-Profit (SafenAI) Co-founder

Special thanks to Hannah Wang who did the wonderful job to assist to complete this podcast. https://www.linkedin.com/in/hannah-wang-9302421b3/

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI products, ecosystem insights, and the emerging trends.

This episode of Innovator Coffee features guests Daniel Alberson and Wenbo Zhang, two Y-Combinator Founders.

Daniel's company, Agentive, helps auditors request and test evidence with AI to be 10x more effective.

Wenbo's company, LineWise, is building a virtual engineer to troubleshoot production line issues faster in manufacturing.

The "Innovator Cafe" podcast episode features Y Combinator founders Daniel of Agentive and Wen Bo of LineWise, who share their experiences in AI entrepreneurship. They discuss the origins of their companies, their journey through the YC application and accelerator program, and offer advice for aspiring AI founders. Key themes explored include solving real-world problems, the benefits of community support, and effective fundraising strategies. The founders emphasize the importance of clear communication, persistent effort, and a mission-driven approach in building a successful startup.

A summarized version of each section of the podcast with timestamps, with a total of fewer than 8 sections:

• Introduction & Company Overviews (00:03 - 01:43)

• Founders' "Aha Moments" & Company Origins (01:43 - 07:21)

• YC Application Advice (07:21 - 10:46)

• YC Program Experience: Challenges, Breakthroughs, and Community (10:46 - 16:22)

• Managing Pressure, Work Ethic & YC's Impact on Go-to-Market (16:22 - 26:49)

• Post-YC Habits & Core Founder Advice (27:14 - 34:15)

• Key Resources, Best YC Advice, and Final Reflections (34:15 - 47:16)

Hosts:

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor Leader & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author

Special thanks to Hannah Wang who did the wonderful job to assist to complete this podcast. https://www.linkedin.com/in/hannah-wang-9302421b3/

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI products, ecosystem insights, and the emerging trends.
In this episode of Innovative Coffee, host Wickey Wang and Tom, are joined by Pramod Gosavi, Investor @ Blumberg Capital in in Infrastructure, SaaS, AI, Cybersecurity.
In this podcast, we dive into the high stakes battle for enterprise dominance between Salesforce and ServiceNow. Titled "Platform Wars: Salesforce vs. ServiceNow", this conversation explores how these giants are positioning themselves as the foundational layer for agentic, AI-powered enterprise workflows. We’ll unpack their AI integration strategies, acquisitions, and long-term bets—while discussing the broader evolution of SaaS toward agentic platforms where UI fades and orchestration takes center stage. Joined by a special guest expert in enterprise AI, we’ll examine what startups should do to stay competitive, what the future of workflow platforms looks like, and who might emerge as the winner by 2027.
A summarized version of each section of the podcast with timestamps, with a total of 4 sections:
00:00 – Platform Wars: Salesforce vs. ServiceNow
08:55 – Salesforce M&A and Strategic Moves
16:57–  AI in the Future of Enterprise Platforms
23:45 –  Forward-Looking quick Q&A
Hosts:
Tom Kong
*Stanford EE alumni,
*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )
*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com
*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)
Wickey Wang
*IT Security Compliance/Auditor & CSTU Faculty
*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus
*GAI Security book co-author
Special thanks to Hannah Wang who did the wonderful job to assist to complete this podcast.
https://www.linkedin.com/in/haoge-wang-9302421b3/
Editing: Vicky: [email protected]
Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:
https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913
https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI products, ecosystem insights, and the emerging trends.

In this episode of Innovative Coffee, host Wickey Wang and Tom are joined by three cutting-edge founders and AI leaders:

• Yu Zhou, Professor at Columbia and founder of Arklex.ai

• Quanlai Li, founder of ChatSlide.ai and former ML engineer at Uber and Robinhood

• Neethan, founder of Hallidai, and previously with Alexa and TikTok monetization

Together, they explore the rapidly evolving world of AI agents, agent frameworks, and how 2025 is shaping up to be the "Year of the Agent." Topics include:

• Defining the next generation of work with agent-based automation

• Real-world applications in sales, design, e-commerce, and enterprise workflows

• The rise of MCP (Modular Context Protocol) and Agent-to-Agent (A2A) architectures for interoperability

• AI agents as “AI interns” or “chiefs of staff” that augment rather than replace human workflows

• Key technical challenges including multimodal capabilities, scalability, data privacy, and hallucination control

• A candid look into startup GTM strategies, personalization, and the future of self-improving agents

  
  

A summarized version of each section of the podcast with timestamps, with a total of fewer than 8 sections:

00:00 – Introductions & Founders' Backgrounds
Host Wickey and Tom welcomes Yu Zhou@Arklex.ai, Quanlai Li, founder of ChatSlide.ai and Neethan ,former ML engineer at Uber and Robinhood

03:30 – Defining Next-Gen Work with AI Agents
The panel defines "next-gen work" and explores how AI agents reduce cognitive load, automate workflows, and augment human productivity across enterprises.

10:00 – Technical Differentiation & Scalability Challenges
Zhou explains the backend and scaling advantage of Arklex.ai AI. Quanlai and Neethan highlight challenges in agent design, metric tracking, and visual context.

18:00 – Collaboration vs. Efficiency: AI's Role in Teams
A debate on whether AI agents enhance or replace collaboration, and how “AI interns” enable individuals while still keeping humans in the loop.

25:00 – Emerging Capabilities: Multimodality & Experience Learning
Exciting new trends including multimodal AI, reinforcement learning from human-agent interactions, and the rise of MCP and A2A protocols.

35:00 – Protocols: MCP vs. A2A and Future Architecture
Detailed discussion on the role of Modular Context Protocol (MCP) vs. Agent-to-Agent (A2A) in scaling agent communication and coordination.

45:00 – Security, Privacy, and Hallucination Mitigation
Tactics and tools to reduce hallucination, enforce data privacy, and secure AI workflows—especially in enterprise agent environments.

52:00 – The Ideal AI Teammate & Final Reflections
Panelists describe their dream AI teammate and share final insights on GTM strategy, agent personalization, and what they’d build if starting over.

Hosts: 

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author 

Special thanks to Hannah Wang who did the wonderful job to assist to complete this podcast. https://www.linkedin.com/in/hannah-wang-9302421b3/

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

This episode of Innovator Coffee features guests Jie and Laura.

Jie Li is the chief scientific officer at the Human-AI Symbiosis Alliance. She holds a PhD in human computer interaction with focus on designing and evaluating human experiences for emerging technologies. She is also a pastry chef. So I'm like a founder of a brand called Cake Researcher. Her cake videos are currently featured as part of the Grand Dessert Exhibition and the Art Museum of the Hug. 

Laura Lin is working as the growth head in a Series A startup in the Bay Area. She is ex-AI startup founder and a Stanford alumni. She is working with Jie for some of the papers to explore human-AI collaboration. 

We discussed the impact of generative AI on user experience (UX) design and workflows, exploring how it is changing the roles of designers and developers, while also raising concerns about job security for junior professionals and the challenges of maintaining human creativity, trust, and accountability in AI-assisted processes. The conversation also touches on the historical evolution of AI, the democratization of access to AI tools, and the importance of longitudinal studies to understand the long-term psychological impacts of AI integration into society.

A summarized version of each section of the podcast with timestamps, with a total of fewer than 8 sections:

1. Guest Introductions & Backgrounds 00:00–03:20

2. Current Human-AI Interaction Use Cases 03:20–08:30

3. Paper on AI’s Impact on UX Designers 08:30–17:00

4. Evolving Designer Roles & Organizational Shifts 17:00–32:00

5. AI’s Creative Limits & Product Consistency Challenges 32:00–54:00

6. Ethical, Organizational & Design Flow Considerations 54:00–01:07:00

7. Reflections, Fears & the Future of AI in UX 01:07:00–01:29:30

8. Final Comments & Upcoming Projects 01:29:30–End

Hosts: 

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author 

Special thanks to Hannah Wang who did the wonderful job to assist to complete this podcast. https://www.linkedin.com/in/hannah-wang-9302421b3/

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

This episode of Innovator Coffee features guest Brett Liu. Brett is an investor at Sixty Degree Capital, a leading VC firm that invests in North American early to growth stage companies in the software innovation and digital infrastructure sectors. He is an exited founder and has over a decade of investment experience in the technology innovation and investment space, and holds the prestigious Chartered Financial Analyst (CFA) credential.

The topic is the RSA conference, a major global security event for professionals to learn, network, and explore security technologies and trends. A major observation is the significant presence of AI, with AI-related talk submissions jumping from about 5% in 2023 to over 40% in 2025, highlighting this as an AI innovation year for cybersecurity.

A summarized version of each section of the podcast with timestamps:

1. Introduction to Innovator Coffee and the RSA Conference (00:02 - 01:55) 

2. AI Takes Center Stage at RSA 2025 (01:55 - 02:35) A major observation highlighted is the significant presence of AI at the conference. 

3. Initial Discussion on AI Applications and Adoption Trends (02:35 - 08:55) 

4. Specific AI & Identity Security Areas, Market Dynamics, and Conference Experience (08:55 - 12:51) 

5. Other Industry Trends: Quantum Computing and Consolidation (12:51 - 18:32) 

6. Further Discussion on Emerging AI Security Challenges and Solutions (19:24 - 27:36) 

7. Concluding Thoughts on the RSA Conference Experience (28:52 - 30:05)

Wickey Wang

*IT Security Compliance/Auditor & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author 

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

In this episode of Innovator Coffee, We did a deep dive into how AI + Web3 are not just compatible, but necessary partners in building transparent, scalable, and secure digital ecosystems  with three pioneering guests:

• Michael, CEO & Co-founder of 0G,

• Ada, Managing Director at 0G, and

• DaFuguo, Founder of OnePiece Labs

Together, they unpack how decentralized infrastructure, AI agents, and blockchain governance are shaping the future of tech. Michael shares his journey from Microsoft and Bridgewater to founding unicorns and now ZeroG — a decentralized AI OS with its own high-performance layer-1, storage, and compute stack. Ada reflects on her transformation from e-commerce executive to Web3 incubator leader, while Dafu reveals how OnePiece Labs supports early-stage founders with strong community, incubation, and investment backing.

Here is a summarized version of the podcast, broken down into fewer than 8 sections, with timestamps:

• Introduction and Backgrounds (00:00 - 08:48)
• Accelerators and Web3 Layers (08:48 - 14:50)
• Accelerator Selection Criteria and Use Cases (14:50 - 17:50) 
• AI and Web3 Intersection: Past and Future Trends (17:50 - 21:05) 
• Somethings interesting in the current wave: Viable Use Cases, Decentralized AI OS and Benefits of Web3 for AI (21:05 - 27:22) 
• Next Big Things, Challenges, and Future Plans (27:22 - 56:40) Other than mentioned above, the podcast ends with quick questions about book recommendations, regrets, and entrepreneurship advice

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author 

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

Today, we are honored to have Ray Wu, Managing Partner of Alumni Ventures with over 20 years of investing experience focusing on AI, Web3, FinTech and SaaS investment.

Wu shares his extensive background in venture capital, highlighting his focus on disruptive technologies like AI, Web3, fintech, and SaaS. He contrasts corporate venture capital with traditional VC and discusses his investment philosophy, emphasizing the importance of strong founding teams, especially in early-stage ventures. The conversation explores the current AI wave's unique characteristics, its potential to disrupt business models and employment, and key areas for AI startup opportunities.

Here is a summarized version of the podcast sections with timestamps:

*Introduction and Ray Wu's Background (00:02 - 03:14)

*Ray Wu's Longevity in Venture Capital and the Difference Between Corporate and Traditional VC (04:38 - 08:01)

*Investment Focus and Philosophy (08:01 - 12:52)

*Importance of Team in Early-Stage Investment and Discussion on Past vs. Current AI Waves (11:30 - 20:55)

*AI Cost Reduction, Disruptive Business Models, and the Impact on the Future of Work (20:55 - 33:44)

*Exciting AI Trends, Disrupted Industries, and Identifying "AI Native" Companies (35:04 - 46:31)

*Evaluating Early-Stage AI Startups, Red Flags, and Identifying Signal vs. Noise (46:32 - 52:01)

*Future Opportunities in AI, Advice for Founders, and Final Thoughts (51:45 - 01:17:51)

Hosts quick bio:

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor & CSTU Faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author

This podcast episode of Innovator Coffee features a conversation with Kyle, a serial entrepreneur with an engineering background, who shares insights on his journey in AI and innovation. He discusses his experiences transitioning from engineering to entrepreneurship, highlighting the crucial role of sales and effective questioning. Kyle also explains the motivation behind his latest startup, RunWhen, which utilizes AI to improve engineering operations and reduce downtime, detailing their unique revenue model based on time saved. Furthermore, the discussion covers lessons learned from previous ventures, navigating product-market fit, building a founding team, and differentiating in a competitive AI landscape, while also reflecting on innovation waves and offering career advice.

Guest Introduction: Kyle Forster shares his career journey, starting at Cisco with V1.0 products, moving to the startup Joost, and then founding Big Switch Networks (acquired by Arista). He later joined Google as Senior Director of Product Management for Kubernetes before starting his latest venture, RunWhen, focused on AI tools for Engineering Assistants - Troubleshooting.

Here is a summarized version of the podcast sections with timestamps:

• Introduction and Kyle's Background (00:02 - 01:26)
• Transition from Engineer to Entrepreneur and Early Sales (01:26 - 05:54): Kyle discusses his transition. He emphasizes that entrepreneurship requires a significant shift towards sales, especially in the early stages with small teams, where the founder must often take on the role of a sales representative.
• Building Sales Skills and Early Sales Challenges (05:54 - 09:30): Kyle shares a successful sales exercise. Addressing the challenge of a lack of portfolio in early sales, Kyle recommends understanding and targeting "visionary" and "early adopter" customer personas.
• Traditional Troubleshooting in Engineering (11:30 - 13:55): Kyle explains that a significant portion of an engineer's day is spent on activities other than writing new code, which he collectively terms "troubleshooting". 
• Founding RunWhen and Identifying the Problem (13:55 - 17:49)
• Commercial Considerations, Revenue Model, and Lessons Learned (17:49 - 25:40)
• Challenges, Pivoting, and Building a Founding Team (25:40 - 31:49): Kyle identifies product market fit as a persistent challenge in startups and even large companies, especially for new categories. He emphasizes the importance of the team's mindset and ability to pivot.
• Competition and Differentiation (31:49 - end): Kyle discusses the competitive landscape and highlights their community of authors who contribute automation and receive royalties. Kyle also shares insights on working with competitors for mutual benefit, reflects on different innovation waves, and offers career advice. 

Hosts quick bio:

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*IT Security Compliance/Auditor and local university faculty

*Growth fund VC advisor, Early stage fund fellow and Angel Investor with cybersecurity and AI focus

*Cofounder@SafenAI (NGO) & GAI Security book co-author

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/

Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. We're Tom and Wickey. Follow us to explore the top AI applications, ecosystem insights, and the emerging trends.

Today, we are honored to have the following guests to share the first hand insights and interpretation of the 2025 NVIDIA GTC:

- Tian Lan, Future/BuilderZ, Founder & Early Stage Investor

- Bill Sun, CEO of Alpha.ai & Ex-Google, the team that discovered the Transformer Architecture

- Liangcheng Zhou, USD Fund Managing Director

This podcast episode, Innovator Coffee features a discussion among investors and AI experts regarding NVIDIA's GPU Technology Conference (GTC). The conversation explores keynote announcements, including advancements in generative and physical AI, digital twins, and robotics. Participants share their first-hand experiences and insights on the significance of GTC in the AI and computing landscape, touching upon topics like market trends, technological limitations, and potential future directions. They also reflect on sessions beyond the keynotes, covering venture capital, robotics advancements, and the concept of "tokens" in AI.

Here is a summarized version of each section of the podcast with timestamps:

[00:02 - 02:19] Introduction to GTC and Guest Introductions

[02:20 - 08:56] The Significance of GTC and Initial Observations

[08:57 - 13:00] The Role of NVIDIA and the ecosystem for the landscape expansion

[13:01 - 17:24] Reactions to Jensen Huang's Keynote, digital workforce (digital workers), digital twins (beyond autonomous driving), and physical AI

[17:25 - 25:48] The Concept of "Token" and the Limitations of Generative AI

[25:49 - 33:51] Robotics, Autonomous Driving, and Human-Centric AI

[33:52 - 43:57] The Vision for Personal AI and Future Infrastructure

[43:58 - 01:11:59] Final Thoughts, Unanswered Questions, and Concluding Remarks

Hosts quick bio:

Tom Kong

*Stanford EE alumni,

*Founder@ Stanford AGI Adventist Community (10K+ members so far from top VC, Engineers, startups from Silicon Valley )

*AI Lecturer, a serial entrepreneur in media and data. Advisor @ techtimes.com

*AI deployment for 8 years, with NLP and recent LLMs (RAG, Agent, Diffusion)

Wickey Wang

*Growth fund VC advisor and Angel Investor with cybersecurity and AI focus

*GAI Security book co-author & ISACA emerging tech writer

*Cybersecurity and Innovation class faculty in local university

*IT Security Compliance/IT Audit

Questions, Suggestions, Feedback and Comments? You can find us in LinkedIn:

https://www.linkedin.com/in/wickey-wang-cisa-six-sigma-green-belt-2aaa913

https://www.linkedin.com/in/thomaskong/