Everything on artificial intelligence, coding, product development and everything in between
Everything on artificial intelligence, coding, product development and everything in between
The Pentagon is demanding Anthropic remove guardrails for fully autonomous AI weapons with no human oversight – threatening billions in contracts. Here’s what the AI industry’s biggest ethics battle means for the future.
A Practical Guide for Programmers The Quiet Revolution: How Semantic Search Is Rewriting the Rules of Data Retrieval For thirty years, we searched by matching words. Now machines understand what we mean. Here is how it works — and how to build it yourself.
Connect your semantic search engine to an LLM and build a question-answering system with citations, confidence scoring, and graceful “I don’t know” responses.
From SQL to AI: How Oracle Programmers Can Build RAG Pipelines Without Leaving the Database – A technical deep dive for Oracle DBAs and PL/SQL developers who want to build production-grade AI — using the tools they already know.
Artificial Intelligence (AI) development relies heavily on efficient data handling. Traditional databases often struggle to handle the complexities of vector data, which are prevalent in AI applications such as natural language processing (NLP), image recognition, recommendation systems, and more. To address this challenge, developers are increasingly turning to vector databases, which are specifically designed to manage vector data efficiently.
The Pentagon is demanding Anthropic remove guardrails for fully autonomous AI weapons with no human oversight – threatening billions in contracts. Here’s what the AI industry’s biggest ethics battle means for the future.
A Practical Guide for Programmers The Quiet Revolution: How Semantic Search Is Rewriting the Rules of Data Retrieval For thirty years, we searched by matching words. Now machines understand what we mean. Here is how it works — and how to build it yourself.
Connect your semantic search engine to an LLM and build a question-answering system with citations, confidence scoring, and graceful “I don’t know” responses.
From SQL to AI: How Oracle Programmers Can Build RAG Pipelines Without Leaving the Database – A technical deep dive for Oracle DBAs and PL/SQL developers who want to build production-grade AI — using the tools they already know.
A comprehensive guide to the biggest AI developments in 2026 — from reasoning models and AI agents to the $690 billion infrastructure boom, open-source disruption, and global regulation. Everything you need to know about where artificial intelligence stands right now.
The Turing Test, proposed by British mathematician and computer scientist Alan Turing in 1950, is a measure of a machine’s ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Turing introduced the test in his seminal paper “Computing Machinery and Intelligence,” where he asked the question, “Can machines think?” Instead of directly answering this, Turing proposed a practical test, which has since become known as the Turing Test.
Welcome to our blog! It has been a while since I wrote in my blogs. Today, I plan to embark on an exhilarating journey delving into the dynamic realms of OpenAI and data science. As technology continues to evolve at an unprecedented pace, the fusion of artificial intelligence and data science stands as a beacon…
