#Scaling Laws

206 related articles

Jul 27, 2026·4 min

What Is the True Nature of Large Language Models? A Super Compressor Analogy to Help You Fully Understand

Large models aren't search engines — they're more like super compressors. This article explains how LLMs compress data to learn semantic patterns, and explores the phenomenon of intelligent emergence.

Jul 27, 2026·4 min

What Is the True Nature of Large Language Models? A Super Compressor Analogy That Makes Everything Click

LLMs aren't search engines — they're more like super compressors. This article explains how large models compress corpora to learn semantic patterns, and explores the principles and limitations of emergent intelligence.

Jul 27, 2026·2 min

The AI Compute Arms Race: Why Tech Giants Are Betting Everything on Data Centers

Tech giants are frantically investing in AI compute infrastructure driven by FOMO. This deep dive analyzes the logic, capital scale, energy challenges, and industry reshaping of the compute arms race.

Jul 27, 2026·3 min

AI Companies Are Destroying Rare Books to Obtain Training Data

AI companies are using destructive scanning to shred physical books—including rare editions—for training data. This article examines the efficiency logic, cultural costs, and copyright gray areas.

Jul 27, 2026·2 min

The AI Computing Arms Race: Why Tech Giants Are Betting Everything on Data Centers

Tech giants are pouring billions into AI computing infrastructure driven by FOMO. This deep dive analyzes the arms race logic, capital scale, energy challenges, and industry reshaping.

Jul 27, 2026·5 min

Multiway Turing Machines: A New Paradigm from Single Computation to Multiple Possibilities

An in-depth analysis of Wolfram's multiway Turing machines, exploring how computation expands from single paths to multiway graph structures, and deep connections to AI search algorithms and quantum computing.

Jul 26, 2026·2 min

Deep Dive into Agent Skills Architecture: How to Extend AI Agent Capabilities

Agent Skills is a lightweight open-source format that extends AI agent capabilities with plug-and-play skill packages. This article dives deep into the Skills architecture, progressive disclosure, and how it differs from Multi-Agent design.

Jul 25, 2026·5 min

DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on Twenty Thousand GPUs

DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?

Jul 25, 2026·5 min

DeepSeek's Five-Step Ladder to AGI: A Restrained Roadmap Built on 20,000 GPUs

DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap—from chain-of-thought to embodied intelligence—under a 20,000-GPU constraint, using the TileLang compiler to break domestic substitution challenges while API cash flow backs AGI exploration.

Jul 25, 2026·3 min

The T-Parameter Era of Open-Source LLMs: Four Chinese AI Companies Break the Trillion-Parameter Barrier

Moonshot AI, Alibaba, DeepSeek, and Meituan all crossed the trillion-parameter threshold. China's open-source LLMs made the B-to-T leap in just 18 months.

Kronos Financial Foundation Model: Usi…

Jul 23, 2026·7 min

Kronos Financial Foundation Model: Using AI to Read the Market Language of Candlesticks

Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.

Jul 23, 2026·2 min

Why Does Vibe Coding Fail? The Community Reveals the Overlooked Truth About Success

A 160+ comment Reddit debate asks: are Vibe Coding projects doomed to fail? We break down the real success logic behind AI-assisted development, internal tools replacing SaaS, and what actually makes projects succeed.

Jul 21, 2026·2 min

AI Model Performance vs. Cost: What Does Top-Tier Intelligence Actually Cost?

A deep dive into performance scores and inference costs of 15 top AI models using the Artificial Analysis Intelligence Index — helping developers and enterprises build a cost-performance framework.

Jul 20, 2026·3 min

Running a 27B Model on iPhone: How 1-bit Quantization Achieves Extreme Compression

PrismML's Bonsai compresses a 27B model from 54GB to 3.9GB, running at ~11 tokens/sec on iPhone. A deep dive into QAT, knowledge distillation, and speculative decoding.

Jul 19, 2026·7 min

OpenAI Loses Over $100 Billion a Year: How the AI Cost Paradox Is Devouring Tech Giants

Leaked financials show OpenAI's -122% operating margin — losing money on every sale. MIT research reveals 95% of enterprise AI investments yield zero returns. A deep dive into the AI cost paradox.

Jul 18, 2026·3 min

Musk vs. OpenAI: A Full Legal Breakdown of the Two-Hour Jury Verdict

Musk's lawsuit against OpenAI and CEO Sam Altman ended in a two-hour jury defeat. A full legal breakdown: from OpenAI's founding, its for-profit pivot, to the statute of limitations that proved fatal.

Bonsai 27B: The First 1-bit LLM That R…

Jul 17, 2026·3 min

Bonsai 27B: The First 1-bit LLM That Runs on Your Phone — A New Milestone for On-Device AI

Bonsai 27B is the first 27B-parameter LLM that runs on smartphones via 1-bit quantization, compressing to 3–4GB. We break down the tech, privacy benefits, and community debate.

Jul 17, 2026·3 min

Continual Learning and AGI: Conceptual Confusion, Core Bottlenecks, and the Real Challenges

Dario Amodei and Demis Hassabis both call continual learning key to AGI, yet the term remains undefined. This article clarifies five interpretations and analyzes three core bottlenecks.

Jul 17, 2026·3 min

AI Large Language Models for Beginners: Core Concepts and Chinese Model Landscape

New to AI? This guide clarifies AI, machine learning, deep learning, and LLMs, traces milestones from Deep Blue to DeepSeek, and maps out China's LLM landscape.

Jul 16, 2026·2 min

GPT-Red: OpenAI's Internal Red-Team Security Tool That Uses AI to Attack Its Own Models

GPT-Red is OpenAI's internal red-team tool that auto-generates prompt-injection attacks against AI agents, turning successful attacks into training data to harden future GPT models.