This episode is sponsored by Oracle.

Oracle Cloud Infrastructure, or OCI is a blazing fast and secure platform for your infrastructure, database, application development, plus all your AI and machine learning workloads. OCI costs 50% less for compute and 80% less for networking. So you’re saving a pile of money. Thousands of businesses have already upgraded to OCI, including MGM Resorts, Specialized Bikes, and Fireworks AI.

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In this episode of the Eye on AI podcast, Jeff Boudier, Head of Product and Growth at Hugging Face, joins Craig Smith to uncover how the platform is empowering AI builders and driving the open-source AI revolution.

With a mission to democratize AI, Jeff walks us through Hugging Face's journey from a chatbot for teens to the leading platform hosting over 1 million public AI models, datasets, and applications. We explore how Hugging Face is bridging the gap between enterprises and open-source innovation, enabling developers to build cutting-edge AI solutions with transparency and collaboration.

Jeff dives deep into Hugging Face’s tools and features, from hosting private and public models to fostering a thriving ecosystem of AI builders. He shares insights on the transformative impact of technologies like Transformers, transfer learning, and no-code solutions that make AI accessible to more creators than ever before.

We also discuss Hugging Face’s latest innovation, ‘Hugs,’ designed to help enterprises seamlessly integrate open-source AI within their infrastructure while retaining full control over their data and models.

Tune in to discover how Hugging Face is shaping the future of AI development, why open-source models are catching up with proprietary ones, and what trends are driving innovation across AI disciplines.

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Jeff Boudier

(02:16) How Hugging Face Empowers AI Builders

(05:26) Transition from Chatbot to Leading AI Platform

(07:07) Hosting AI Models: Public and Private Options

(10:13) What Does Hosting Models on Hugging Face Mean?

(14:22) Hugging Face vs. GitHub: Key Differences

(19:09) Navigating 1 Million Models on the Hugging Face Hub

(22:33) Leaderboards and Filtering AI Models

(25:26) Building Applications with Hugging Face Models

(28:03) AI Innovation: From Code to Model-Driven Development

(30:45) Frameworks for Agentic Systems and Hugging Chat

(35:20) Open Source vs. Proprietary AI: The Future

(40:41) Introducing ‘Hugs’: Open AI for Enterprises

(44:59) The Role of No-Code in AI Development

(47:26) Hugging Face’s Vision

This episode is sponsored by Legal Zoom.

Launch, run, and protect your business to make it official TODAY at https://www.legalzoom.com/ and use promo code Smith10 to get 10% off any LegalZoom business formation product excluding subscriptions and renewals.

In this episode of the Eye on AI podcast, we dive into the world of Artificial General Intelligence (AGI) with Ben Goertzel, CEO of SingularityNET and a leading pioneer in AGI development.

Ben shares his vision for building machines that go beyond task-specific capabilities to achieve true, human-like intelligence. He explores how AGI could reshape society, from revolutionizing industries to redefining creativity, learning, and autonomous decision-making.

Throughout the conversation, Ben discusses his unique approach to AGI, which combines decentralized AI systems and blockchain technology to create open, scalable, and ethically aligned AI networks. He explains how his work with SingularityNET aims to democratize AI, making AGI development transparent and accessible while mitigating risks associated with centralized control.

Ben also delves into the philosophical and ethical questions surrounding AGI, offering insights into consciousness, the role of empathy, and the potential for building machines that not only think but also align with humanity’s best values. He shares his thoughts on how decentralized AGI can avoid the narrow, profit-driven goals of traditional AI and instead evolve in ways that benefit society as a whole.

This episode offers a thought-provoking glimpse into the future of AGI, touching on the technical challenges, societal impact, and ethical considerations that come with creating truly intelligent machines.

Ben’s perspective will leave you questioning not only what AGI can achieve, but also how we can guide it toward a positive future.

Don’t forget to like, subscribe, and hit the notification bell to stay tuned for more!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Ben Goertzel

(01:21) Overview of "The Consciousness Explosion"

(02:28) Ben’s Background in AI and AGI

(04:39) Exploring Consciousness and AI

(08:22) Panpsychism and Views on Consciousness

(10:32) The Path to the Singularity

(13:28) Critique of Modern AI Systems

(18:30) Perspectives on Human-Level AI and Creativity

(21:42) Ben’s AGI Paradigm and Approach

(25:39) OpenCog Hyperon and Knowledge Graphs

(31:12) Integrating Perception and Experience in AI

(34:02) Robotics in AGI Development

(35:06) Virtual Learning Environment for AGI

(39:01) Creativity in AI vs. Human Intelligence

(44:21) User Interaction with AGI Systems

(48:22) Funding AGI Research Through Cryptocurrency

(53:03) Final Thoughts on Compassionate AI

(55:21) How to Get "The Consciousness Explosion" Book

This episode of the Eye on AI podcast is sponsored by JLL.

JLL's AI solutions are transforming the real estate landscape, accelerating growth, streamlining operations and unlocking hidden value in properties and portfolios. From predictive analytics to intelligent automation, JLL is creating smarter buildings, more efficient workplaces and sustainable cities.

To learn more about JLL and AI, visit: jll.com/AI

In this episode of the *Eye on AI* podcast, we explore the world of AI at Google Cloud with Nenshad Bardoliwalla, Director of Product Management for Vertex AI.

Nenshad unpacks the three core layers of Vertex AI: the Model Garden, where users can access and evaluate a diverse range of models; the Model Builder, which supports model fine-tuning and prompt optimization; and the Agent Builder, designed to develop AI agents that can perform complex, goal-oriented tasks.

He shares insights into model evaluation strategies, the role of Google’s Tensor Processing Units (TPUs) in scaling AI infrastructure, and how enterprises can choose the right models based on performance, cost, and regulatory requirements.

Nenshad also delves into the challenges and opportunities of AI prompt optimization, highlighting Google’s approach to ensuring consistent outputs across different models. He discusses the ethical considerations in AI design, emphasizing the need for human oversight and clear guardrails to maintain safety.

Whether you’re in AI, tech, or curious about AI's potential impact, this episode is packed with insights on next-gen AI deployment.

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Nenshad Bardoliwalla & Vertex AI

(01:52) Overview of Vertex AI's Three Core Layers

(05:35) Nenshad's Journey to Google Cloud

(06:36) Choosing the Right AI Model

(08:00) Google’s AI Infrastructure & Tensor Processing Units (TPUs)

(10:15) Model Builder: Fine-Tuning & Prompt Optimization

(12:11) Agent Builder: Building AI Agents with Tools & Planning

(17:57) Model Evaluation & Prompt Management

(21:23) Generative AI for Business Analysts

(23:24) AI Model Modality & Use Case Selection

(25:23) Popularity Distribution of AI Models

(28:18) Prompt Optimization Tools

(34:20) Building AI Agents: Real-World Use Cases & Ethical Safeguards

(40:13) The Capabilities & Limitations of AI Agents

(45:48) TPU vs. GPU

(50:33) Future of AI at Google Cloud