The Builder’s Notes: How We Built Self-Healing AI Infrastructure (Without Burning $2M)
Author(s): Piyoosh Rai Originally published on Towards AI. Our DevOps admin woke up to 47 Slack alerts. By the time she opened her laptop, the system had already fixed itself. Here’s the architecture that makes 3 AM pages disappear. Traditional monitoring alerts …
MCP is Taking Over: The Protocol That’s Making AI Agents Smarter, Faster, and Mysteriously Independent
Author(s): Shreyansh Jain Originally published on Towards AI. Unlocking: Why Model Context Protocol and Agent-to-Agent Collaboration Are Transforming Autonomous Systems, APIs, and Real-Time Automation Large Language Models (LLMs) are powerful tools, but they must be capable of acting on that information independently …
The Next AI Revolution: When Machines Learn to Think About Thinking
Author(s): Rohan Mistry Originally published on Towards AI. What happens when AI catches its own lies before you do? ChatGPT just gave you a wrong answer.You ask it why. Source: Image by author.This article explores the significant limitations of current AI systems, …
What Is LLM Poisoning? Anthropic’s Shocking Discovery Exposes AI’s Hidden Risk
Author(s): AIversity Originally published on Towards AI. A summary of Anthropic’s research: critical findings on LLM poisoning, the challenges ahead, and how we can defend AI AI is everywhere now….in our pocket📱, on our desk💻, and behind every smart feature we use. …
The Boardroom Brief: The Accountability Gap — Your AI Made the Decision, Now Who Gets Sued?
Author(s): Piyoosh Rai Originally published on Towards AI. Nobody wants to be responsible for AI decisions until something goes catastrophically wrong. Then everyone wants plausible deniability. Here’s why that strategy will destroy your company — and the framework that actually works. When …
Finetuning Qwen3-VL-8B Vision-Language Model: Advanced Knowledge Enhancement Using Python and Unsloth
Author(s): Krishan Walia Originally published on Towards AI. Guide to fine-tuning Qwen3-VL-8B with Python, Unsloth, and open datasets — making powerful Vision AI accessible for every developer. With Qwen3-VL-8B (Qwen Vision-Language), we will unlock the ability to create solutions tailored to our …
Advanced Concepts in LLM Alignment: AI for a Human-Centric Future
Author(s): Burak Degirmencioglu Originally published on Towards AI. Reference As Large Language Models (LLMs) become increasingly integrated into our daily lives, ensuring they act in our best interests is no longer a theoretical concern but a critical engineering challenge. The field of …
From Zero Coding Skills to a Working Website (All Because I Used AI)
Author(s): Iryne Vanessa Somera Originally published on Towards AI. From broken pages to a live site: my AI rebuild Okay… not exactly. But I hoped my headline made you click. A tiny bit of clickbait, I admit. Generated with ChatGPT by the …
Mastering Perplexity’s Comet Browser: A Step-by-Step Guide for Curious Minds
Author(s): AIversity Originally published on Towards AI. This article dives into the powerful features of the AI-powered Comet browser designed to boost your productivity and make everyday tasks easier and smarter😀 Have you ever imagined a browser which is AI powered and …
LAI #97: Claude 4.5 Benchmarks, Function-Calling Fine-Tunes, and the Future of Model Alignment
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue dives deep into how models are evolving across capability, specialization, and alignment. We examine Claude Sonnet 4.5, how it outperforms GPT-5 (Codex) and Gemini 2.5 …
How Machines Understand Meaning: A Simple Guide to Embeddings.
Author(s): Deepak Chahal Originally published on Towards AI. Have you ever wondered how ChatGPT knows that “a car” and “a bike” are related but “a car” and “a human” aren’t?Or how a word can have different meanings in different sentences, like “a …
When LLMs Spill What They Shouldn’t
Author(s): Rabia AMAAOUCH Originally published on Towards AI. Understanding OWASP Top 2: Sensitive Information Disclosure OWASP Top 2 Vulnerabilities for Large Language Models Large Language Models (LLMs) are trained on vast amounts of data, sometimes too vast. When they generate responses, they …
2050: The AI World Your Kids Will Live In (Based on Today’s Data)
Author(s): Rohan Mistry Originally published on Towards AI. It’s 2050. You Wake Up. Your House Already Knows You Had a Bad Dream. Here’s Your Day. 6:47 AM — You didn’t set an alarm. You never do anymore. Source: Image by author.The article …
Large Language Models: Shaping the Future of Intelligent Systems
Author(s): Vikram Lingam Originally published on Towards AI. Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI) Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as …
When Machines Started Playing Our Games: The Strategic Logic Behind AI
Author(s): MahendraMedapati Originally published on Towards AI. 🎯 The Imitation Game We’re All Playing Picture this: It’s 1770, and a mechanical chess-playing automaton called “The Turk” is touring Europe, defeating nobles and even Napoleon Bonaparte. Everyone’s amazed — can a machine really …
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