Meta Just Dropped the Llama 4 Lineup and it’s INSANE!

Say hello to Llama 4 Maverick & Llama 4 Scout and Coming soon Llama 4 Behemoth. Meta’s most beast-mode open-weight AI models yet. These models aren’t just upgrades… they’re a whole multimodal evolution

🚀 Llama 4 Scout (109B)
— 💡 17B active params, 16 experts
— 💾 Fits on a single H100 GPU (Int4!)
— 🧠 Natively multimodal: text, image, video
— 📚 10 MILLION token context (!!)
— 🏆 Outperforms Mistral 3.1, Gemma 3, Gemini Flash-Lite

💥 Llama 4 Maverick (402B)
— 🧠 17B active params, 128 experts
— 🎯 Competitive with DeepSeek v3 at HALF the size
— 🖼️ Optimized for multilingual + image understanding
— 🔥 Scores 1417 ELO on LM Arena (chat performance)
— 🆚 Beats GPT-4o & Gemini 2.0 Flash!

👑 Coming soon: Llama 4 Behemoth
— 2 TRILLION params
— Outperforms GPT-4.5, Claude 3.7, Gemini Pro on STEM
— Trains the smaller models via codistillation
— Total transformer wizardry 🧙‍♂️✨

🌍 What's new under the hood?
— Mixture of Experts (MoE) architecture for max efficiency
— Early fusion multimodality: trained jointly on 30T+ tokens of text, images & video
— iRoPE Attention: handles 10M tokens with no position embeddings
— FP8 training on 32K GPUs — faster, cheaper, smarter
— MetaP auto-tuning of hyperparameters
— Next-gen training pipeline: Lightweight SFT ➡️ Online RL ➡️ DPO

🛠️ Try them NOW on llama.com, Hugging Face, or Meta AI in WhatsApp, IG, Messenger & Web.

Link to the launch

Large Language Models (LLMs) interactive 3D Visualization

Discover the inner workings of Large Language Models (LLMs) with Brendan Bycroft's interactive 3D visualization

This is the best interactive website to learn how LLMs work under the hood!🔥

It combines clear, step-by-step explanations with dynamic 3D visualizations for an intuitive learning experience.

It starts with a brief introduction and walks you through every major component of an LLM, from Embedding, Layer Norm, Self-Attention, MLP, Transformer layers, Softmax, to Output layers.

Link to the tool

Cyberattacks by AI Agents are Coming

AI agents with the ability to reason, plan, and act autonomously are emerging as potential game-changers in cybercrime. Although not yet widely used by criminals, research shows they are already capable of carrying out sophisticated attacks. Experts warn that these agents could soon replace traditional cyberattack methods due to their low cost, scalability, adaptability, and stealth.

Initiatives like Palisade Research’s LLM Agent Honeypot are working to detect such agents early by attracting them with decoy servers, and have already identified a few in the wild. These agents are more effective than traditional bots, adapting to environments and exploiting vulnerabilities—even with minimal information—in up to 25% of cases.

Currently, agentic AI enhances existing attack strategies rather than inventing new ones, but its use could rapidly escalate. While they pose a threat, such agents could also be used defensively to identify vulnerabilities before attackers do. The key message: proactive action is essential before these systems become a widespread threat.

Link to article

World's First & Most Famous Prompts Directory

This GitHub repository, titled "awesome-chatgpt-prompts," is a curated collection of prompts designed to enhance the interaction with ChatGPT and other large language models. It offers a wide array of examples demonstrating how to instruct AI for various tasks and roles, ranging from acting as a Linux terminal to a stand-up comedian. The repository encourages users to contribute their own effective prompts, aiming to build a comprehensive resource for better AI communication. It highlights that while initially focused on ChatGPT, these prompts are also beneficial for other models like Claude and Gemini. The project provides a license for open use and welcomes contributions to expand its library of helpful prompts.

Link to repo