A deeply concerning pattern is emerging from major AI labs like Anthropic: a startling detachment from scientific reality, where performative schpiel and speculative fiction are prioritized over technical grounding. This is not a minor misstep; it's ...
The world is currently in the midst of an artificial intelligence (AI) revolution, and Eurasia has a unique opportunity to drive the future of this transformative technology. While much of the global discourse on AI revolves around competition betwee...
In the fast-moving world of artificial intelligence, we've been dazzled by increasingly impressive claims about "reasoning models" and their problem-solving abilities. These models, enhanced through Reinforcement Learning for Reasoning (RLfR), suppos...
Yoshua Bengio's recent piece in TIME titled "A Potential Path to Safer AI Development” presents a vivid metaphor: we're all in a car barreling through fog on a treacherous mountain road, hurtling toward potential catastrophe. In response to this perc...
TL;DR. The post provides a step-by-step guide on deploying and utilising CrewAI agents by following a part of Tyler Reed's YouTube tutorial. This article emphasises learning by doing, documenting the process, and sharing my insights. I highlight the ...
This paper by Orgad et al. delves into the internal workings of Large Language Models (LLMs) to understand how errors, often termed "hallucinations," are represented. Moving beyond purely external, behavioral analyses, the authors use probing techniq...
That's a wonderfully insightful connection to draw! The Three-Body Problem, at its heart, deals with the inherent unpredictability and complex dynamics that arise from the gravitational interactions of just three celestial bodies. Correlating it with...
So while I was working on some NLP side projects, I had this thought — YouTube videos are packed with great information, but most of the time they’re way too long. Even if someone’s explaining something valuable, it takes 15-20 minutes to get to the ...
This paper by David Silver and Richard Sutton, prominent figures in Reinforcement Learning (RL), proposes a transition to an "Era of Experience" where AI agents, learning autonomously from world interaction, will achieve "superhuman capabilities." Wh...
Artificial Intelligence often greets us with a human-like voice, engaging in conversations that can feel surprisingly natural, even empathetic. This powerful mimicry tempts us to project human qualities – understanding, intent, consciousness – onto t...
