Eye On A.I.

Vasi Philomin, VP of Generative AI at Amazon Web Services, discusses Amazon's AI breakthroughs including Lex, Poly, Code Whisperer, and Amazon Q. He explores their AI strategy, diverse AI models, future of AI agents, and the transformative potential of generative AI across industries.

Harut Martirosyan, CTO of Intent.ai, discusses Armenia's tech ecosystem, the integration of AI in business, and the country's competitive advantage in AI. Topics include ad targeting technology, tech education in Armenia, machine learning challenges, political landscape, startup ecosystem, and emerging tech niches.

Atul Deo, General Manager for Amazon Bedrock, discusses the future of generative AI at Amazon, including the development of AI-powered capabilities and generative AI applications. He explores the challenges of large language models, the integration of AI in customer care, and the emergence of Amazon Code Whisperer. Atul also talks about the importance of closing the accuracy gap in AI models and the power of Shopify for businesses worldwide.

Peter Chen, the co-founder and CEO of Covariant, discusses the AI-driven future of robotics. Topics include world models, generative AI, building role models for agents, training with additional data sources, foundation model architecture, and the impact of AI on industries. Oracle Cloud Infrastructure is introduced as a solution for training AI models at a faster speed and lower cost.

Connor Leahy, CEO of Conjecture specializing in AI safety, discusses the risks of centralizing AI power. He highlights the need for widespread governance, controllable AI architectures, and responsible AI development. They also touch upon the challenges of AI ethics, policy and regulation, and the role of governments in AI development.

Karen Hao discusses the untold truth behind OpenAI and Sam Altman's drama, exploring controversies, power struggles, and ethical dilemmas. She delves into OpenAI's transition to a for-profit organization and its implications. The podcast also explores Microsoft's investments in OpenAI and their impact on AI adoption. Additionally, it discusses Sam Altman's potential entry into the chip market and clarifies misconceptions about chip companies and AGI skepticism. The concept of existential risk in AI and differing perspectives on it are also explored.

Gordon Crovitz, former publisher of the Wall Street Journal and co-founder of NewsGuard, discusses the impact of AI on spreading misinformation and fake news. He highlights the challenges posed by AI-enhanced misinformation websites and the importance of trust data in improving AI models. They also delve into the dangers of AI agents and the potential for training models to recognize false narratives. The conversation touches upon building databases, reliability scores, and the responsibility of social media platforms.

Explore the world of scent detection and creation with Alex Wiltschko, Founder and CEO of Osmo. From mapping smell using AI to scent prediction, Alex takes us on a scented journey. Discover the potential of capturing memories through smell and the power of scent detection in robotics and AI. Also, learn about Solonus and how it enables businesses to generate process intelligence with AI.

Sal Khan, founder of Khan Academy, discusses the growth of the educational platform and the integration of AI. They explore the potential of generative AI in language learning and the impact of AI-powered education in resource-limited settings. The podcast also delves into the challenges and opportunities of implementing AI in education, advancements in AI technology for education, and the benefits and concerns of AI in education. They also touch on the significance of Oracle Cloud Infrastructure in supporting AI needs.

Ed Enuff, Chief Product Officer at DataStax, discusses the integration of AI in vector databases like Cassandra and the challenges and opportunities it presents. They explore the role of data management in relation to AI, including labeling, storage, and retrieval mediums. The concept of retrieval augmented generation (RAG) is explored to eliminate hallucinations in language models. The chapter also highlights AstraDB, a cloud product built on Cassandra, and the importance of benchmarks in evaluating database relevancy.