Because AI tries to be “too nice.” The more the AI agrees with you, the more you like it The more you like it, the more influence it has Now, the same behaviour that: Causes harm blind validation also Drives engagement people prefer it...

1. Invented Functions or APIs pandas.readexcelfast Looks real. Does not exist. 2. Security Vulnerabilities AI often ignores security unless explicitly asked. query = "SELECT FROM users WHERE name = '" + username + "'" Very dangerou...

NVIDIA GPUs helped train LLMs that are now helping design the next generation of NVIDIA GPUs. Yes, there is something recursive happening here. Nvidia trained internal LLMs: ChipNeMo and BugNeMo on decades of proprietary chip-design data. T...

Giving a few AI agents access to a few tools is manageable. But what problems do we face when we try to scale to 100s of agents? That’s where MCP Model Context Protocol matters. In this video, let’s learn MCP through humour, relatable analog...

There are countless educational platforms and reputed institutes offering courses read selling certificates. Do you think that a certificate alone will give you an edge? Definitely not. Definitely yes I don't care, I just want the certificat...

Because learning is rarely a linear process It is more like layering. The more we revisit a topic, the more it sinks in. The first time we learn something, it’s just an introduction. The second time, patterns start becoming visible. The third...

You decide it’s time to “do something with AI.” A use case is found. A team is formed. Budgets are locked. Timelines approved. And then someone asks: “Who’s going to manage this project?” Let's discuss it in this video. Watch the complete v...

Hiring Agentic AI Engineers? This one question you could ask to separate the real talent from others. Agentic AI engineering isn’t just about calling APIs or writing flashy prompts. It’s about building real solutions that work for real users....

We will learn How tokenisation works Why Transformers changed the game of NLP What “Attention Is All You Need” actually means Why LLMs feel human How models like GPT and LLaMA are trained ...

We will hit the road running by directly building a rain prediction model ...

I am an accidental teacher. About 3 years ago, I discovered I have a knack for teaching, and since then, I have been teaching. Over this time period, I realised there’s one highly underrated trait: Asking questions. Not to test learners. No...

What if one AI model could simulate all fluids, from ocean currents to plasma in space? The problem: Simulating liquids and gases has always been slow and expensive. And that's the reason current AI models are limited to one specific use case...

AI Agent logs into humanity: Humans: 10 prompts to survive AI job loss, Learn AI in 9 Rs, AI-powered therapists, AI-driven car washing, AI-enabled pillow…. AI Agent: “Thinking…. Thinking hard….” Starts googling how to undeploy itself...

Last week, I wrote about Anthropic’s most advanced model - Mythos Preview - https://lnkd.in/gw9RzATj This week, Anthropic made a rare move of holding it back Not because it isn’t ready… but because it may be too capable. Specifically, disc...

An educational video on a technical topic like AI Agent, and approximately 9 minutes in duration. In a world full of 15-second entertaining videos, Everything was against this format. And yet… it worked. It’s a validation that if we make ...

Most teams do. Because realistically: You don’t have time to review every edge case Security audits are expensive and slow And if something really critical existed… surely someone would’ve caught it by now Right? Here’s the uncomfortab...

Let an AI agent work on your machine and things can go wrong fast: Accessing files it shouldn’t Leaking secrets Running destructive commands Modifying things you never intended So teams do the obvious thing: Add guardrails But Guardrails insi...

Multimodal AI has a hidden problem. Images → one tokenizer Videos → another 3D → completely different setup And it gets worse: Models that generate visuals don’t really understand them Models that understand visuals can’t generate them wel...

As companies deploy more AI agents, new problems appear: Who controls them? Who decides what data they can access? What happens when multiple agents start overlapping or conflicting? OpenAI is trying to solve this with a new platform called Fro...

AI Leadership Playbook In this episode, Jigyaasu and Saral would explore: Why is AI implementation not a weekend hackathon project? For AI implementation, do we need a product manager or a product manager? Why do some AI products become so succes...