Reasoning Machine

We discuss Open Claw and the raise of its clones in China and amazing use cases, why is it so popular in China and did not really take off in India?Your Hosts: Subramanian Krishnan, Subramani Jaisankar

Along with Jay Prasad, CEO of ExaThought Consulting, we discuss the Implications of AI on IT Services Businesses. From the breakdown of headcount-linked revenue to the rise of performance-based SLAs and AI-driven 'agents,' we explore how the industry is evolving to survive and thrive in 2026.

We dissect the three leading open source large language models currently leading: Qwen 3, GLM-5, and DeepSeek-V3, their architecture approaches, features and performance and why they are being chosen over closed APIs for production-grade agents.

The AI Creativity Debate: Can AI be "truly creative," or is it simply a high-speed remixer of human effort? We explore the philosophical line between inspiration and imitation. We also dive into the centre of the latest AI firestorm: Seedance 2.0. Recently released by ByteDance, this multimodal has the ability to generate cinema-quality video, native audio, and realistic physics from a single prompt. But is it a breakthrough or, as Disney’s lawyers have called it, a “virtual smash-and-grab” of intellectual property?

AI agents are no longer a demo—they’re in production. We analyze "openclaw.ai" and its ecosystem—from browser automation and shell execution to its persistent long-term memory. We also tackle the "big questions": Is giving an AI agent hands on your terminal a security nightmare or the ultimate productivity unlock?

In this episode, we explore the real-world impact of AI on jobs, starting with an overview of today’s AI-driven work transformation. We compare the risks faced by white-collar and blue-collar roles, examine AI products already replacing human tasks, and discuss whether Universal Basic Income could realistically address large-scale job disruption. The conversation also tackles the role of government regulation in managing AI’s pace, the urgent need for education reform to prepare future workers.

While we wonder at what AI can do - the code it generates, the poem it writes, in this episode we are going behind the scene and explore the real cost of AI to the environment, the data center tsunami, why tech giants are buying up nuclear plants and whether our AI advancements are coming at the expense of our planet’s future