Thinking

Artificial intelligence (AI) can process a whole lot of documents in seconds, discover imperceptible patterns in vast datasets and supply in-depth answers to virtually any query. It has the potential to resolve common problems,...

One in all the brightest minds in artificial intelligence, Mira Murati, has officially launched her next ambitious enterprise: Considering Machines Lab. With a handpicked team of elite AI researchers and engineers—including key figures from...

Large language models (LLMs) have evolved significantly. What began as easy text generation and translation tools are actually getting used in research, decision-making, and sophisticated problem-solving. A key think about this shift is the...

Good morning, AI enthusiasts. While everyone seems to be watching OpenAI’s next move, Google DeepMind just put out a reasoning powerhouse of its own.With an enormous 1M context window and breakthrough math, science, and...

How Meta-CoT enhances system 2 reasoning for complex AI challengesWhat makes a language model smart? Is it predicting the subsequent word in a sentence ‒ or handling tough reasoning tasks that challenge even brilliant...

The scratchpad technique fundamentally changes how we interact with Large Language Models (LLMs). Unlike traditional prompting where we simply state our request and hope for the very best, the scratchpad technique creates a structured...

Google DeepMind has introduced the concept of 'System 2 considering', which strengthens reasoning abilities to enhance artificial intelligence (AI) agent functions. This divides the agent into a component answerable for immediate response and a...

Part 3: CausalityMy hope is that by the tip of this text you should have a superb understanding of how philosophical considering around causation applies to your work as a knowledge scientist. Ideally you...