Emergent Behavior in LLMs: How Scaling Laws for Neural Language Models Explain AI’s Surprising Skills

scaling laws for neural language models

Article Podcast Summary Scaling Laws for Neural Language Models: A Guide to Emergent AI Behavior Scaling laws for neural language models have become the compass guiding the evolution of large language models (LLMs)—charting how model performance scales with compute, data, and parameters. Initially defined by the Kaplan scaling laws, and later refined by Chinchilla scaling … Read more

Hyena Edge: Revolutionizing Efficient Large Language Models for Smartphones and Edge Devices

Hyena Edge

Listen to This Article 1. Introduction: The Bottleneck of Transformer-Based LLMs on Edge Devices I still remember the feeling of wonder the first time I scrolled through the original Transformer paper (“Attention Is All You Need”), and later marveled at Hyena Edge as a mobile large language model that channels the promise of Hyena AI … Read more

Gemini 2.5 Pro vs Gemini Deep Research: APIs, Pricing & Performance Compared

Gemini 2.5 Pro

Introduction I’ve spent the better part of this spring running two very different beasts through the wringer: Gemini 2.5 Pro, Google’s flagship reasoning model, and Gemini Deep Research, the company’s fledgling research agent that rides on top of that model. At first glance they look like siblings; in practice they behave more like an engine … Read more

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

ChatGPT o3, o4 mini, o4 mini high

Check all ChatGPT posts 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 … 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