Attribution: This essay is built on and inspired by the breakthrough research: “Nested Learning: The Illusion of Deep Learning” by Ali Behrouz and collaborators, published at abehrouz.github.io. All scientific credit for the NL framework, the HOPE architecture, and the theoretical constructs belongs entirely to the authors and their
Every time AI makes a leap, someone on the internet declares the death of human jobs, creativity, and purpose. If you believe half the headlines, by 2030 we’ll all be unemployed, eating noodles at home while robot CEOs run companies more efficiently than our current leadership ever did. Relax.
Every time a new AI breakthrough hits the internet, half the world starts predicting mass unemployment and the other half says it’s all hype. Reddit threads are full of panic, Forbes is publishing lists of “jobs that will fall first,” and Goldman Sachs is dropping workforce statistics that can
Every few weeks, someone online declares, “AGI is almost here! LLMs are evolving into superintelligence!” as if we’re one software update away from a digital Krishna appearing on our screens with life advice. Let’s slow down, breathe, and look at this with a functioning brain. There’s a
Artificial Intelligence dominates headlines, boardroom discussions, and social media feeds. But most people still blur the lines between LLMs (Large Language Models) and AGI (Artificial General Intelligence). This confusion creates unrealistic expectations, fear, and misinformation. This article clears the air and educates readers on what LLMs really are, what they
In Simple Terms: What’s Happening Here? Doctors write thousands of notes every day patient histories, test summaries, diagnoses, discharge reports. Buried inside those notes is gold: years of context, intuition, and subtle signals about patient health. Traditionally, hospitals tried to use structured data like lab results or billing codes
The Rise of Algorithmic Fitness Artificial intelligence has already transformed diagnostics and drug discovery. Now, it’s entering a deeply human space our daily health habit. From Apple Health nudges to AI-powered trainers, technology promises to personalize our wellness journeys. But how close are we to safe, effective, and truly
We spend about a third of life sleeping or trying to. Sleep disorders (insomnia, sleep apnea, restless legs, circadian disruptions) plague millions, with cascading effects on mental health, cardiovascular health, metabolism, and daily performance. But diagnosing and tracking sleep disorders is expensive, bulky, and episodic: traditional sleep labs are impractical
Mental health is often called the silent crisis pervasive, under-diagnosed, and under-resourced. Around the world, millions struggle in solitude, with long waits for therapy, spotty access in remote areas, and stigma as a constant shadow. But now a powerful ally is entering the domain: Artificial Intelligence (AI). The recent review
In the past, industrial automation followed a simple script: machines performed tasks based on fixed rules, and humans handled exceptions. But that world is rapidly fading. Modern manufacturing floors now hum with sensors, software, and self-learning algorithms that can think, predict, and adapt in real time. Welcome to the age
Paper: “Language Models Align Neurally with the Brain During Language Processing” Authors: Uri Hasson, Evelina Fedorenko, Alex Huth, and colleagues Published in: Nature, 2023 DOI: s41586-023-06160-y Quick Summary For years, scientists and engineers have wondered whether artificial intelligence truly “understands” language or simply mimics patterns. A team of neuroscientists and
In 2016, three researchers from Facebook AI proposed a radical yet simple idea: instead of coding intelligence, teach it. This post breaks down their paper “A Roadmap Towards Machine Intelligence” into plain language and explores how DEIENAMI is bringing its principles to life through adaptive automation and intelligent systems. DEIENAMI