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Will AI replace software engineers? Has OpenAI achieved AGI? And is Agentic AI about to change the way we work forever?In this episode, we sit down with Vijay Srinivas Agneeswaran, Senior Director of AI R&D at Microsoft, to explore the biggest questions shaping the future of Artificial Intelligence — from AI agents and Large Language Models (LLMs) to AGI, AI coding, the future of jobs, and India's role in building AI.⸻⏱️ CHAPTERS00:00 – Introduction 01:33 – Is a PhD Worth It? 04:12 – Can LLMs Speed Up Research? 05:29 – How LLMs Answer in Real Time: RAG Explained 06:53 – Google Search vs LLM Search 08:38 – Why Does Every AI Lab Launch the Same Thing? 09:44 – Has OpenAI Reached AGI? 10:44 – The Einstein Test for AGI: Breakthrough or Marketing Gimmick? 12:29 – Small AI Models vs AI Giants: What Are We Paying For? 14:21 – Will LLMs Kill OCR Products? 15:55 – Are Companies Wasting Money on AI? 17:06 – Top AI Use Cases and the Risks of AI-Written Code 18:03 – Is AI Weakening Students' Thinking? 19:10 – Will AI Wipe Out Developer Jobs? 20:02 – QA, Product Manager Jobs and the Real Cost of Running AI 22:13 – India: From Talent Supplier to AI Model Builder 24:08 – Are We Teaching Engineers to Build or Just Use AI Tools? 24:55 – Why AI Hasn't Replaced Radiologists 27:24 – Rapid Fire: Data vs Models, Agents vs Interns, and the Skill of 2030 29:05 – Advice for Students and Final Thoughts ⸻ABOUT OUR GUESTVijay Srinivas Agneeswaran is the Senior Director of AI R&D at Microsoft. In this conversation, he shares his perspective on Artificial Intelligence, AI research, emerging AI capabilities, and the technological shifts that will influence how we work, learn, and build in the coming years.LinkedIn - https://www.linkedin.com/in/avijaysrinivas⸻IN THIS PODCAST, WE DISCUSS:• Agentic AI & AI Agents: How AI agents work, whether they can replace human workers, and what makes them different from traditional AI tools.• OpenAI & AGI: Has AI reached Artificial General Intelligence, or is AGI still a distant goal? We explore the Einstein test and the challenges of measuring intelligence.• Will AI Replace Software Engineers? The future of coding jobs, developers, QA engineers, and product managers in an AI-powered world.• Large Language Models (LLMs): How LLMs answer questions in real time, what Retrieval-Augmented Generation (RAG) means, and how AI search compares with Google Search.• AI in Research: Can AI accelerate scientific discovery, and is pursuing a PhD still worth it in the age of Artificial Intelligence?• The AI Business Reality: Are companies spending too much on AI? We discuss real-world AI use cases, implementation costs, and the risks of AI-generated code.• Small AI Models vs Big AI Models: Why are companies building smaller models, and what are we actually paying for when we use powerful AI systems?• AI in Education: Is AI helping students learn faster, or weakening critical thinking and problem-solving skills?• The Future of AI in India: Can India move beyond supplying technology talent to building its own AI models and competing globally?• AI in Healthcare: Why AI has not completely replaced radiologists, despite rapid advances in medical AI.• The Skills of the Future: What should students and engineers learn to stay relevant in an AI-driven world?⸻📩 Contact Us:Want to collaborate, share feedback, or feature on our next episode?👉 Email us at: abtalks.podcast@gmail.com👉 Connect on LinkedIn: https://www.linkedin.com/in/anil-bajpai⸻👍 If you enjoyed this video:✅ Like✅ Comment your thoughts/questions✅ Subscribe for more insights on AI, leadership, and innovation🔔 Turn on notifications so you don’t miss future uploads#ArtificialIntelligence #AgenticAI #Podcast, #Microsoft #OpenAI #AGI #Trending
