Exploring how companies are shifting budgets toward AI and what it means for traditional enterprise applications.

Reference: https://www.theinformation.com/articles/corporate-spending-on-openai-threatens-salesforce-other-enterprise-apps?rc=rvvbkr

Exploring CoreWeave's rapid rise as a cloud startup and its surprising relationship with Microsoft, its biggest customer and competitor in the AI space.

Reference: https://www.theinformation.com/articles/microsoft-is-a-coreweave-rival-its-also-a-big-customer

In this episode, we dive into Netflix's decision to end its interactive content experiment and focus on generative AI in gaming. We'll explore what this pivot means for Netflix and the future of streaming entertainment.

Reference: https://gizmodo.com/netflix-finally-gives-up-on-interactive-shows-pivots-to-genai-for-games-2000520298

In this episode, we dive deep into Palantir’s Q3 2024 earnings report, examining CEO Alex Karp’s insights on the company's growth, the role of AI in America, and the future impact on industries worldwide.

Reference: https://www.palantir.com/q3-2024-letter/en/

In this episode, we dive deep into the ongoing legal battle over net neutrality and discuss its implications on the future of internet regulation.

Reference: https://www.theverge.com/2024/10/31/24284435/fcc-net-neutrality-isp-sixth-circuit-oral-arguments

In this episode, we dive deep into the fascinating world of multimodal large language models. What are they? How do they work? And why are they revolutionizing how we interact with AI? Join us as we break down the latest techniques, models, and innovations.

Reference: https://magazine.sebastianraschka.com/p/understanding-multimodal-llms

In this episode, we explore the evolving landscape of direct satellite-to-smartphone connectivity, featuring Starlink, Globalstar, and AST SpaceMobile, and their unique approaches to providing global coverage.

In this episode, we dive into how facial recognition is being used to monitor retail interactions, the controversies surrounding this technology, and the potential implications for privacy and consumer rights.

Reference: https://gizmodo.com/facial-recognition-that-tracks-suspicious-friendliness-is-coming-to-a-store-near-you-2000519190

In this episode, we explore the implications of China's military leveraging Meta's open-source AI model, Llama 2, for military applications. What are the challenges of open-source AI, and how does it affect global innovation and security?

Reference: https://gizmodo.com/open-source-bites-back-as-chinas-military-makes-full-use-of-meta-ai-2000519373

In this episode, we discuss the limitations and challenges of scaling large language models, focusing on data movement bottlenecks and the so-called 'latency wall' that presents hurdles to future advancements in AI training.

Reference: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop