Large Language Models
12 stories tagged Large Language Models.
Rich Sutton Says AI Models Have Stopped Learning
Rich Sutton and Khurram Javed argue LLMs represent only a quarter of intelligence—and explain why continual learning is the missing piece.
Five AI Terms That Actually Change How You Use It
Five AI Terms That Actually Change How You Use It
Tokens, context windows, temperature, hallucinations, RAG—Kai's video breaks down the five AI concepts that separate fluent users from confident nodders.
Judea Pearl on Why LLMs Cannot Reach AGI Alone
Judea Pearl on Why LLMs Cannot Reach AGI Alone
Turing Award winner Judea Pearl explains why LLMs are powerful but structurally limited—and what causality has to do with reaching general intelligence.
Prompt Compression: Smarter LLM Input, Lower Costs
Prompt Compression: Smarter LLM Input, Lower Costs
Prompt compression cuts LLM token costs without gutting context. Here's how the main techniques work, what they actually trade off, and where to start.
Building AI Agents From Scratch: An Honest Assessment
Building AI Agents From Scratch: An Honest Assessment
A new freeCodeCamp course from KodeKloud walks beginners through LLMs, tool-calling, and real agent architecture using the open-source OpenClaw project.
Why People Treat AI Chatbots as Divine Authorities
Why People Treat AI Chatbots as Divine Authorities
Anthropologist Webb Keane explains how chatbots acquire quasi-divine authority through language — and why the real beneficiaries are the corporations behind them.
Does AI Understand Things, or Just Predict Words?
Does AI Understand Things, or Just Predict Words?
The "AI just predicts tokens" argument is technically true—but is it the whole story? A murder mystery with fake physics might hold the answer.
Intel's Budget GPU Play: 96GB of VRAM for $2,600
Intel's Budget GPU Play: 96GB of VRAM for $2,600
Four Intel ARC Pro B60 cards deliver 96GB of VRAM at a fraction of Nvidia's cost. But cheap memory doesn't guarantee useful performance.
Anthropic's Context Window Leap: Real Progress or Hype?
Anthropic's Context Window Leap: Real Progress or Hype?
Anthropic's Opus 4.6 shows minimal performance drop at 1M tokens. Is this the first AI model to actually solve context rot, or just better marketing?
Mercury 2 Reimagines How AI Models Think and Generate Text
Mercury 2 Reimagines How AI Models Think and Generate Text
Inception Labs' Mercury 2 ditches the transformer architecture for diffusion, generating entire responses at once then refining them. Here's what that means.
Why Natural Language Is Now the Most Important Code
Why Natural Language Is Now the Most Important Code
After 50 years of programming evolution, computers finally understand us. IBM's Jeff Crume explains why English beats Python in the AI era.
Anthropic's Claude Opus 4.6: The New AI Coding Benchmark
Anthropic's Claude Opus 4.6: The New AI Coding Benchmark
Anthropic's Claude Opus 4.6 brings a 1 million token context window and agentic capabilities. What does this mean for developers and knowledge workers?