Technology Quotient (TQ) redefines intelligence, showing how we think, create, and learn with AI as a collaborative partner.
Collaboration, adaptability, creativity, ethics, and connection are human traits amplified by AI and LLMs.I explored
Fast forward to today, and the world has shifted significantly. Large Language Models have reshaped the technological and human landscape, pushing us beyond my former perspective on TQ. These tools blur the lines between intellect,In light of these changes, it’s time to revisit and redefine my earlier thinking about TQ—not as a battle between IQ and EQ, but as a multidimensional framework that captures the symbiosis between humans and AI.
This is not just about technical competence; it’s about mental flexibility—knowing when and how to use tools like LLMs to amplify efficiency. It also includes the capacity to pivot when a technology becomes obsolete or requires reframingOne of the most transformative aspects of LLMs is their ability to amplify human creativity.
United States Latest News, United States Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
ChatGPT Can Tell You What Scientists Are Doing With LLMsConfused about LLM architectures? Ask a model. They’ll tell you.
Read more »
When training medical LLMs, specialization may not always be better.General AI models rival specialized ones in most medical tasks, proving that optimized prompts and strategic use may outpace costly domain-specific training.
Read more »
Stretching From LLMs To LGMs: Intelligence And The Amazing Promise Of Large Geospatial ModelsDr. Lance B. Eliot is a world-renowned AI scientist and consultant with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.
Read more »
LLMs: The timeless role of the scribe meets the transformative power of AI.LLMs are modern scribes—dynamic collaborators that transform scattered ideas into refined expression, reshaping how we think, create, and solve problems.
Read more »
The illusion of thought in machines that compute, not think.As LLMs emulate thought, true cognition is still uniquely human.
Read more »
Small Bits, Big Ideas: The Amazing Rise Of 1-Bit LLMs For Building Faster And Slimer Generative AI AppsFuture of AI entails 1-bit large language models (LLMs) since generative AI runs faster, slimmer, and can work on smartphones and edge devices. Here's the inside scoop.
Read more »