Hosted by Praveen Govindaraj · 🇺🇸 US · EN · 35 episodes
Established thought leaders with verified media credentials.
Step into the world where artificial intelligence meets everyday impact. Each episode of AI Sparks brings you the latest trends, innovations, and breakthroughs shaping the AI landscape—alongside honest conversations about the challenges, risks, and threats that come with it.From game-changing discoveries to real-world applications, from ethical debates to future possibilities, AI Sparks is your guide to understanding how AI is reshaping industries, societies, and our lives.
Praveen Govindaraj hosts AI Sparks, a technology show with 35 episodes published.
What if the next breakthrough in AI isn’t a bigger model… but a team of models? In this episode, we unpack a fresh idea in plain English: multi‑agent AI systems—where different AI “roles” debate, collaborate, and coordin
In this episode of AI Sparks, we explore a fascinating new idea from recent research: co-evolution of algorithms and prompts using Large Language Models (LLMs). Traditionally, AI systems try to improve algorithms while k
“From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence” In Episode 35 of AI Sparks, Praveen breaks down how we moved from human-only coding, to AI-assisted coding, to a new era of
In this episode of AI Sparks, we explore DeepSeekMath-V2, a new AI model trained not just to solve hard math problems, but to actually verify and improve its own proofs. We break down how “solver”, “verifier”, and “meta-
What if your AI could not only autocomplete your code… but build and run the whole app for you? In this episode of AI Sparks, Praveen breaks down Google Antigravity – Google’s new agent-first development environment that
What if your AI agent stopped thinking in a straight line and started planning like a graph? In this episode of AI Sparks, Praveen breaks down Graph-based Agent Planning (GAP) – a new way for AI agents to plan tasks as g
In this episode of AI Sparks, we crack open the world of AI agents, tools, and the Model Context Protocol (MCP). 🚀 I break down what “agent tools” really are in simple terms, why MCP is like a universal power socket for
In Episode 30 of AI Sparks, i dives into a powerful question every tech leader is quietly asking: “What if your engineering team could ship twice as fast… without adding a single new hire?” This episode tells the story o
In this episode of AI Sparks, we explore Agent0, a new research framework where two AIs — a teacher and a student — co-evolve without any human training data. One AI invents harder and harder tasks, while the other learn
Different failure mode of Agents
In this episode, I dives into OpenAI Codex and the rise of vibe coding — a new way to build software by describing what you want in plain English. We explore what Codex actually does, how it fits into modern development
A fast, practical walkthrough of Anthropic’s enterprise AI playbook: how to pick the right first use case, set graduation criteria, choose the right Claude model, engineer strong prompts, evaluate performance, and deploy
Can something that writes like a pro still miss the point? In this AI Sparks episode, we unpack “Vibe Learning”—a human‑centered blueprint for education in the age of AI. We explore why LLMs can sound confident yet drift
we race from the origins of context‑aware computing to today’s agent era. Using figures and tables from the paper, we unpack why context engineering is really entropy reduction, how Minimal Sufficiency and Semantic Conti
Today we explore agentic organization — a way for AI to behave like a project manager that splits a problem into small jobs, runs them in parallel, and weaves together the best answer. You’ll hear how this “organizer + w
Code-writing AIs are getting good—but how do we grade them fairly? In this episode, we unpack PRDBench, a new “projects-not-problems” benchmark that evaluates code agents the way teams actually ship software: unit tests,
In this episode, we unpack the Smol Training Playbook—a down-to-earth way to build powerful AI without wasting time or money. You’ll learn when you actually need to train your own model, how to start small and improve fa
A crisp tour of the new taxonomy for Data Agents — L0 to L5 — and why the L2→L3 leap (from executing steps to orchestrating pipelines) is the milestone to track. We cover the scope across Data Management, Preparation, an
This article is inspired by the OpenAI Cookbook entry “Context Engineering — Short-Term Memory Management with Sessions from OpenAI Agents SDK” by Emre Okcular. #ContextEngineering #AIAgents #OpenAI #LLM #AIEngineering #
Discover how AI evaluation is evolving — from LLM-as-a-Judge to Agent-as-a-Judge. In this episode, i breaks down how autonomous agents are reshaping how we test and measure AI systems — making evaluations faster, smarter
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AI Sparks is hosted by Praveen Govindaraj. The show is categorised under technology and has published 35 episodes.
AI Sparks has published 35 episodes.
AI Sparks regularly covers technology. It sits in the technology category.
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