Why the AI Bubble Debate is Useless

Part two of the AI predictions series looks ahead to how competition, markets, and politics could shape AI in 2026, from the durability of coding model leaders and the future of Grok and Meta to Chinese open-weight models, agent labs versus model labs, M&A, IPO timing, and whethe ...  Show more

Part one of a two-episode forecast on AI in 2026, focusing on models and capabilities, release strategy shifts, multimodal races, memory, and the evolution from assistance to agent management. It also explores how vibe coding expands beyond engineering, why bespoke personal softw ...  Show more

In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss how AI is being applied in the AI in Automotive industry.Continue reading AI Use Case Series: AI in Automotive [AI Today Podcast] at Cognilytica. 

Mo Gawdat is the former Chief Business Officer at Google X, an AI expert, and a best-selling author. He has been recognized for his early whistleblowing on AI's unregulated development and has become one of the most globally consulted experts on the topic. With years of experienc ...  Show more

In this episode, Jaeden speaks with Haseeb from Rafay about the challenges and opportunities in AI infrastructure. They discuss the importance of self-service consumption for developers, the complexities of competing with hyperscalers, and the need for secure multi-tenancy in ...

Jaeden Schafer discusses the emergence of DeepSeek, a new AI competitor to ChatGPT, highlighting its capabilities, unique features, and the implications of its censorship practices. The discussion delves into the cost efficiency of DeepSeek compared to other AI models, its imp ...