What is the Future of AI: A Personal Journey Through AI’s Unfolding Saga

What is the Future of AI

Introduction In the twelve years since I trained my first toy convolutional net on the CIFAR‑10 dataset, the ground has shifted under our feet. Transformers rewrote the playbook, GPUs became the new steam engines in AI advancements, and every industry I can name now treats “AI strategy” as table stakes rather than a moon‑shot. Yet amid … Read more

Weekly AI Advancements Report: Recent and Future AI Advancements (April 13–19, 2025)

AI Advancements

“When technology moves faster than our metaphors, we need new notebooks.”— jotted in the margin of my lab journal, Tuesday, 07:12 a.m. Introduction An elderly ThinkPad lives on the shelf behind me. Its once stately dual‑core CPU now boots mostly so I can watch the fan spin like a tiny windmill—an audible reminder that progress and … Read more

The Definitive O Series Showdown: ChatGPT O3 vs. O4 Mini vs. O4 Mini High

ChatGPT o3, o4 mini, o4 mini high

Introduction You might remember the first time you handed ChatGPT an image of a messy whiteboard, half‑erased equations smudged across the surface, and braced for nonsense. Today, you might instead watch in awe as it parses your scribbles, follows your thought process, and even offers improvements. That shift—from clever text predictor to genuine reasoning partner—arrives … Read more

Vibe Coding: Democratizing Software Creation or a Recipe for Chaos?

vibe coding

Introduction The concept of “Vibe Coding” exploded into the technology world in early 2025 after a tweet by Andrej Karpathy, a famous AI expert and former Tesla leader. In this article, we will examine Vibe Coding from multiple angles. This article will cover its origins, applications, shortcomings and broader implications for software development. Role of … Read more

Gemini 2.5 Pro Aces Humanity’s Last Exam With Powerful AI Performance

Gemini 2.5 Pro Humanity's Last Exam

Introduction Humanity’s Last Exam (HLE) is a benchmark designed to test deep reasoning and problem-solving capabilities of large language models (LLMs). It is a rigorous testing regime that pushes ultimate limits of these models so that these models are tested beyond ordinary tasks of mere language generation and memorization. It follows a strict protocol. LLMs … Read more