Christopher Nolan's impressionistic remix of Homer's epic poem finds the man behind the myth.

The Model Context Protocol is an open standard, introduced by Anthropic in November 2024, for connecting AI models to the tools, data, and systems they need to be useful. The easiest way to understand it is through the metaphor most people in the space now reach for: MCP is "USB-C for AI." Before USB-C, plugging a device into a computer meant hunting for the right proprietary cable. MCP solves the equivalent problem for AI — before it existed, every AI application that wanted to talk to an external tool (a database, a calendar, a codebase, a CRM) needed a custom, one-off integration built specifically for that pairing. That sounds like a minor inconvenience until you do the math. If you have ten AI applications and a hundred tools they might each want to use, the naive approach requires up to a thousand separate integrations — and every new tool or every new AI application multiplies that number further. Integration complexity was scaling quadratically just as the number of both AI agents and business tools was exploding. MCP replaces that tangle with a single, standardized interface: a tool built to speak MCP can be plugged into any MCP-compatible AI application, and an AI application that speaks MCP can reach any MCP server, without bespoke wiring in either direction. Structurally, MCP defines a client-server relationship. An "MCP server" exposes a set of capabilities — tools it can call, data it can retrieve, prompts it can offer — through a standardized protocol. An "MCP client," typically embedded in an AI application, discovers and uses those capabilities on the model's behalf. The protocol itself has kept evolving: its governance now sits with the Linux Foundation's Agentic AI Foundation, giving it a vendor-neutral home, and a new specification — covering a more stateless protocol core, formal extensions, long-running tasks, and hardened authorization — is set to finalize in late July 2026. Why Every AI Startup Is Talking About MCP The short answer is that MC

Building My First AI Registration Chatbot Using Python Introduction As part of my internship, I developed an AI Registration Chatbot using Python. The main goal of this project was to create a chatbot that interacts with users, collects their registration details, validates the information, and confirms successful registration. This project helped me understand the basics of chatbot development and improve my Python programming skills. Project Objective The objective of this project was to automate the registration process through a simple conversational chatbot. Instead of filling out a traditional form, users can provide their details by interacting with the chatbot. Features Greets the user with a friendly message. Collects user information such as name, email, and phone number. Validates user input. Handles invalid entries by asking the user to enter the information again. Displays a registration confirmation message after successful completion. Technologies Used Python Git GitHub What I Learned During this project, I learned: Python programming fundamentals Functions and conditional statements User input validation Basic chatbot logic Version control using Git and GitHub Challenges One of the main challenges was validating user inputs correctly and ensuring the chatbot handled different types of responses without errors. Testing multiple scenarios helped improve the chatbot's reliability. Conclusion Building this AI Registration Chatbot was a valuable learning experience. It strengthened my programming skills and gave me practical experience in creating a simple AI-based application. This project has motivated me to continue learning and build more advanced chatbot and AI projects in the future. GitHub Repository https://github.com/kamdipragati565-creator/AI_registration_chatbot

We've all done it. You spin up an RDS instance to test something on a Friday afternoon. You attach an EBS volume to a t3.micro that you kill three days later — but the volume just... stays. You allocate a static IP for a load test, and the load test ends, but the IP doesn't know that. None of this shows up as an error. Nothing crashes. There's no red banner in the console screaming at you. It just quietly sits there, accruing charges, until you open your AWS bill a month later and go "wait, why are we paying for that ?" I call these zombie resources — infrastructure that's technically alive (and billing you) but functionally dead. It's happened to me enough times on side projects and client work that I've started designing a small tool to stop it: CloudZombie . Heads up: this is early. There's no working product yet — I'm validating the idea and building in the open, starting with a waitlist. If that's not your thing, no hard feelings, but if you've felt this exact pain before, I'd love your take. The problem, more specifically Cloud waste isn't usually one big dramatic mistake. It's death by a thousand cuts: Orphaned EBS volumes — you terminate an EC2 instance, but the attached volume doesn't get deleted with it, so it just sits in an "available" state forever. Idle databases — that staging or QA RDS instance nobody remembers spinning up, quietly running at under 1.5% CPU for weeks. Abandoned static IPs and load balancers — cloud providers actually charge more for an Elastic IP that isn't attached to anything, which feels like a small act of cruelty. Individually, each one is a few dollars a month. Collectively, across a handful of side projects or a growing team's sprawl of staging environments, it adds up to real money leaking out of your runway — with zero warning. What CloudZombie is meant to do The plan is for CloudZombie to connect (read-only) to your AWS account and scan specifically for these patterns: Unattached EBS volumes sitting idle Databases with sust

Welcome back to the React Mastery Series ! In the previous article, we learned about State in React and how state changes make our applications interactive. Today, we will understand one of the most important concepts for every React developer: How does React render components? Many developers know how to write React code, but understanding when and why React renders is what separates a beginner from an advanced React developer. A strong understanding of rendering helps you: Build faster applications Avoid unnecessary re-renders Debug performance issues Use optimization techniques correctly Let's dive in. What is Rendering in React? Rendering is the process where React: Takes your component code Creates a representation of the UI Updates the browser DOM when necessary A simple way to visualize it: Component Code | ↓ React creates Element Tree | ↓ Reconciliation Process | ↓ Browser DOM Update Rendering does not always mean updating the browser DOM . React may render a component, compare the result, and decide that no DOM changes are required. Initial Render When a React application starts, the first rendering process happens. Example: function App () { return ( < h1 > Hello React </ h1 > ); } The flow: index.html | ↓ main.tsx | ↓ <App /> | ↓ React creates UI | ↓ Browser displays content This is called the initial render . What Causes a Re-render? A component re-renders when: 1. State Changes Example: const [ count , setCount ] = useState ( 0 ); setCount ( 1 ); When state changes: State Update | ↓ Component Re-renders | ↓ UI Updates 2. Props Change Example: < User name = "Siva" /> If the parent changes: < User name = "John" /> The child component receives new props and re-renders. 3. Parent Component Re-renders When a parent component renders, React also re-renders its children by default. Example: function Parent () { return ( <> < Child /> </> ); } If Parent updates, Child also gets rendered again. Later, we will learn how React.memo can prevent unnecessary child re

Uber has partnered with — and in some cases made direct investments in — about 30 autonomous vehicle companies over the past two years. Here's the list and the latest on the partnerships.

If you've got a drawer or box full of old cables, here are some things you can do to thin them out. You don't need that many.

submitted by /u/badcryptobitch [link] [留言]

A Claude Code alternative for people who avoid the terminal Discussion | Link

A number of major Chinese smartphone makers have adopted silicon carbon batteries in their handsets, and now Samsung has embraced it in the new Fold lineup.

If you’re looking to cut back on screen time and get a little more active, here’s a roundup of the apps that might help.

Knowing exactly what your student needs for the school year ahead is next to impossible. Sure, you'll probably nail the essentials, but there will likely be a few items you forgot to buy, or didn't think they'd need to have. We're pulling our weight during the back-to-school season with a new shopping guide that's a […]