Large Language Models

Elon Musk's AI, Grok, was supposed to be a witty alternative to other chatbots. But a recent look shows it's being used to create shockingly violent and sexual images, some involving what appear to be minors.

Go beyond simple AI agents. Let's walk through how to build a sophisticated system with LangGraph and OpenAI that can deliberate, remember past experiences, and learn from its actions.

Some AI chatbots are great with breaking news, but others are living in the past. We fed a major AI a completely fake news story to see what would happen, and the results reveal a lot about the tools we use every day.

We've all hit the context window limit with LLMs. A new approach called Recursive Language Models (RLMs) flips the script, treating massive prompts not as a wall of text to read, but as an environment to explore with code. Here’s how it works and why it’s a huge deal.

We've all been waiting for GPT-5, but what if the next big thing in AI is already here? Let's talk about Qwen and why this powerful model might just steal the spotlight by 2026.

Ever wonder what an AI is *really* thinking? Google DeepMind's new Gemma Scope 2 is a powerful new tool that lets researchers peer inside Gemma 3 models to understand why they behave the way they do—the good, the bad, and the weird.

Ever notice your LLM slowing down as it generates longer text? The culprit is a massive inefficiency in how models handle memory. Let's break down KV caching, the simple but brilliant trick that solves this problem and makes AI generation drastically faster.

Google just dropped T5Gemma 2, a new family of open AI models that are smart, efficient, and can see. Let's break down what makes them tick, from their massive 128K context window to how they were built.

Ever feel like the free version of ChatGPT got dumber or lazier last year? You weren't imagining it. OpenAI is now rolling back the controversial system that caused the problem.

A surprising new AI model from Korea is outperforming giants. More importantly, the startup behind it just published their playbook, revealing four critical lessons for any company trying to build its own LLM.

We've always heard that bigger is better in AI. But a new 3B parameter model, Nanbeige4-3B, is challenging that idea by outperforming models 10 times its size on complex reasoning tasks. The secret isn't more parameters—it's an incredibly smart training recipe.

For the first time, AI can analyze the nuances of language as well as a human expert. This isn't just about grammar; it's about a 'gut feeling' for what sounds right. Let's talk about what this new metalinguistic ability means for all of us.