Towards AI

“Towards AI” is a platform that delves into various aspects of artificial intelligence and machine learning. The content covers topics such as data augmentation for machine learning, Python programming scripts, and the use of Python in web3, blockchain, and smart contracts. Additionally, it explores the challenges and solutions in building AI applications with features like short-term memory and persistent conversation history. The platform also discusses the importance of understanding and utilizing enterprise-grade tools like Spark, EMR on EKS, and Airflow 3 for creating secure and efficient knowledge bases for AI applications.

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When Predictive Maintenance AI Agents Try to Act: What the Safety Tests Revealed

Towards AI

What a deterministic authorization benchmark and an LLM-agent experiment, built on the open-source predictive-maintenance-mcp server, reveal about trustworthy AI in industrial asset operations. In a ...

I Tried to Trick My Own MCP Server Into Deleting a Database. The Filter Failed.

Towards AI

How to build a read-only MCP server in Python that connects Claude to your data, and why the safeguard that matters lives in the… Continue reading on Towards AI

How to Generate Animated GIFs and SVG Icons with the OpenAI Images 2.6 API in Python

Towards AI

One short script, two new output formats, and the two errors I hit so you don’t have to. Follow me on 🔗LinkedIn, 🐙GitHub: https://github.com/praj-17 Generated with OpenAI Images 2.6 by the author ⚡ ...

Pick One Workflow, Then Build the Harness Around It

Towards AI

Write one real job on a single card, and let that card decide your agent’s tools, limits, memory and tests. Here’s a research agent built… Continue reading on Towards AI

Every Rule You Give Your AI Makes the Others Weaker

Towards AI

Instructions don’t stack like a checklist. They compete like a crowd, and the ones that lose disappear without an error. Continue reading on Towards AI

A Decision Model as a Gate: Fast, Well Calibrated, and Still Wrong 16% of the Time

Towards AI

Can a small decision model like Jev sit between an agent and its tools in .NET? Here’s what other people measured, what I built to test it myself, and the bar I set before running anything. Why I car...

OpenAI Just Released GPT-6 Cyber. AI Can Now Hunt for Security Vulnerabilities

Towards AI

81 Firefox bugs, 948 Linux exploits, and the question nobody can dodge: what happens when this model reaches the wrong hands? Continue reading on Towards AI

Does the Harness Move the Result or Only the Cost? An Ablation on a Local Model in .NET

Towards AI

I wrote two pieces arguing the harness is the bottleneck. This month the counter-evidence arrived, so I built a rig to test my own claim. A few weeks ago I published “Harness Engineering Is the New B...

[Day 42/100] How to Choose an Embedding Model for RAG (Without Trusting the Leaderboard)

Towards AI

Dimensions, Matryoshka truncation, token limits, query prefixes, and cost, plus a small recall@k harness that tests any LangChain… Continue reading on Towards AI

Japan Just Wired Another $2.5 Billion to Its Chip Underdog

Towards AI

And Its 2nm Chips Will Cost a Third Less Than TSMC’s.Rapidus plans to sell 2-nanometer wafers near $20,000 against TSMC’s rumored $30,000… Continue reading on Towards AI

Statistics in Data Science (Part 1): Descriptive Statistics

Towards AI

Descriptive statistics is the branch of statistics focused on summarizing, organizing, and presenting raw data so it becomes easy to understand. Instead of getting overwhelmed by thousands of unorgani...

AI Coding Agent Learning Loop: Ship Faster Without Outsourcing Understanding

Towards AI

AI Coding Agent Learning Loop A practical workflow for using Codex, Claude Code, Copilot, or another coding agent as a force multiplier without becoming the person who cannot explain the code they shi...