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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 obj...

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 exter...

I compiled the rules engine of a shipped Android game to the browser. Same Java, two compilers. Then I checked whether the two agreed. They did not — and the test I already had for exactly this had been green the whole time. The same command twice: green against the current engine, then against the committed recording of the broken build. Play it as a terminal session if you want to select the text. The setup The rules live in one module with no Android on its cl...

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"Finding something quickly and finding the best thing quickly are two completely different engineering problems." So far in this series, we've explored one of the most common behaviours in software systems: Fast lookup. Whenever a system already knows what it's looking for—a User ID, Product ID, Order ID or Session ID—a HashMap becomes an excellent choice. But not every software problem works this way. Imagine you're building a ride-sharing application. A rider requests a...

Welcome back to the React Mastery Series ! In the previous article, we explored React Rendering and Component Lifecycle . We learned: What causes a component to re-render How React reconciliation works The difference between rendering and DOM updates How lifecycle behavior is handled using Hooks Now let's learn how React applications respond to user interactions. Every modern application depends on events: Clicking buttons Typing into forms Selecting options ...

"A HashMap helps you find what you already know. A Heap helps you decide what should happen next." In the previous article, we discovered that not every software problem is about finding a specific object. Sometimes, the system already knows exactly what it's looking for. Find User ID = 1024 ↓ Return User Other times, the system doesn't know the answer in advance. Instead, it has to repeatedly answer questions like: Which task should run next? Which driver s...

While struggling to understand channels in go, I would try out many things in my sandbox repository. I encountered deadlock errors and stuff about go routes being asleep. I came to understand that the order of execution played a role and that with unbuffered channels you need a sender and a receiver ready at the same time (kind of). I wrote a short article on my blog site about the experience The Unbuffered Channels In Go Lesson I Think Has Finally Clicked for Me 🤷🏽‍♂️

"A Heap doesn't stay useful because everything is sorted. It stays useful because every parent follows one simple rule." In the previous article, we learned that a Heap is built for continuous decision-making. Whether it's assigning the nearest driver, scheduling the next process, or selecting the most urgent support ticket, the system always needs one thing: The next best candidate But that raises an interesting question. How can a Heap always know the best candi...

Why AI Agents Expand the Security Perimeter AI agents do more than generate text. They call tools, query databases, retrieve documents, execute code, and communicate with external services. Every connection introduces a potential path for model exfiltration or credential leakage. Model exfiltration includes direct theft of model weights, systematic extraction of proprietary behavior, and reconstruction of sensitive training data through repeated queries. Attackers may also inject instruct...

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Article URL: https://dl.acm.org/doi/epdf/10.1145/3772318.3790379 Comments URL: https://news.ycombinator.com/item?id=49133240 Points: 1 # Comments: 0

Article URL: https://www.lesswrong.com/posts/KDq5aXwanvH5YoZYs/taboo-equilibrium-less-confused-frames-for-research-on-ai Comments URL: https://news.ycombinator.com/item?id=49133262 Points: 1 # Comments: 0

Article URL: https://videoall.ai Comments URL: https://news.ycombinator.com/item?id=49133273 Points: 1 # Comments: 0

Article URL: https://www.thehindu.com/opinion/op-ed/newspaper-archives-still-trump-answers-generated-by-ai/article71287538.ece Comments URL: https://news.ycombinator.com/item?id=49133397 Points: 1 # Comments: 1

Article URL: https://phylo.bio/blog/biomni-tuso Comments URL: https://news.ycombinator.com/item?id=49133734 Points: 2 # Comments: 0

Article URL: https://techcrunch.com/2026/07/27/googles-ai-search-is-rapidly-becoming-the-default-new-data-shows/ Comments URL: https://news.ycombinator.com/item?id=49133906 Points: 4 # Comments: 0

Article URL: https://howmachinesthink.substack.com/p/july-2026-in-ai-what-actually-mattered Comments URL: https://news.ycombinator.com/item?id=49133917 Points: 2 # Comments: 0

Article URL: https://zeltser.com/ai-security-market-field-guide Comments URL: https://news.ycombinator.com/item?id=49133934 Points: 3 # Comments: 0

Article URL: https://www.antipope.org/charlie/blog-static/2026/08/on-the-non-use-of-ai-in-my-wri.html Comments URL: https://news.ycombinator.com/item?id=49134038 Points: 17 # Comments: 3

Article URL: https://twitter.com/newsfromgoogle/status/2083249962150760610 Comments URL: https://news.ycombinator.com/item?id=49134079 Points: 53 # Comments: 82

Article URL: https://whatever.scalzi.com/2026/07/31/another-reason-not-to-use-ai-for-your-writing/ Comments URL: https://news.ycombinator.com/item?id=49134103 Points: 3 # Comments: 2

Article URL: https://frontierroles.com/ Comments URL: https://news.ycombinator.com/item?id=49134249 Points: 1 # Comments: 0

Article URL: https://www.economist.com/culture/2026/07/30/how-to-spot-ai-writing Comments URL: https://news.ycombinator.com/item?id=49134310 Points: 26 # Comments: 63

Article URL: https://www.youtube.com/watch?v=PcEWx_001aU Comments URL: https://news.ycombinator.com/item?id=49134325 Points: 1 # Comments: 0

Article URL: https://github.com/schmitech/orbit Comments URL: https://news.ycombinator.com/item?id=49134457 Points: 2 # Comments: 0

Every Ai project needs the same infra - API keys, providers SDKs, retry logic, cost tracking. it should be infra layer. Aurora is a Go gateway that handles that layer, ~15MB binary, no dependencies. It proxies requests to OpenaAI, Anthropic, Gemini etc, and can convert between formats - use the OpenAi SDK and Aurora translates to Anthropic's wire format automatically. No format conversion code in backend. It helps: - track costs per customer/team - switch models and providers without changing ...