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I’ve been teaching college Earth science courses as a part-time faculty member for a long time now, all while juggling other jobs. I started because it was enjoyable; no one gets into this line of work for the famously poor pay or complete lack of job security. Working with students is just one of those […]
Z.ai is out with its next-generation flagship AI model and has named it GLM-5.1. With its combination of extensive model size, operational efficiency, and superior reasoning functions, the model represents a major step forward in large language models. The system improves upon previous GLM models by introducing an advanced Mixture-of-Experts framework, which enables it to
GLM-5.1: Architecture, Benchmarks, Capabilities & How to Use It Read More »
AI models from Google, OpenAI, and Anthropic lost money betting on soccer matches over a Premier League season, in a new study suggesting even the most advanced systems struggle to analyze the real world over long periods. The “KellyBench” report released this week by AI start-up General Reasoning highlights the gap between AI’s rapidly advancing
AI models are terrible at betting on soccer—especially xAI Grok Read More »
We already had a hint. AI would surpass most human capabilities someday. In the field of cybersecurity, that day arrived way too early, with the recent announcement of the Mythos Preview by Claude. The new AI model promises a level of coding skills that it is deemed to ‘surpass all but the most skilled humans
Project Glasswing is World’s Most Powerful AI in Action Read More »
Most AI tools rely on the internet, sending your prompts to remote servers for processing before returning results. This process has always been invisible to users. Google changes that with Gemma 4! Which if configured properly, runs directly on your phone, eliminating the need for constant connectivity. With a one-time download, everything runs locally on
How to Run Gemma 4 on Your Phone Without Internet: A Hands-On Guide Read More »
Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google‘s Gemma 4 is here to change that! This guide walks through what Gemma 4 is, would explores its variants, and outlines the
Think about revisiting items you’ve saved to Pocket, Notion or your bookmarks. Most people don’t have the time to re-read all of these things after they’ve saved them to these various apps, unless they have a need. We are excellent at collecting tons of information. However, we are just not very good at making any
LLM Wiki Revolution: How Andrej Karpathy’s Idea is Changing AI Read More »
The latest set of open-source models from Google are here, the Gemma 4 family has arrived. Open-source models are getting very popular recently due to privacy concerns and their flexibility to be easily fine-tuned, and now we have 4 versatile open-source models in the Gemma 4 family and they seem very promising on paper. So
Google’s Gemma 4: Is it the Best Open-Source Model of 2026? Read More »
Fine-tuning large language models (LLMs) has become one of the most important steps in adapting foundation models to domain-specific tasks such as customer support, code generation, legal analysis, healthcare assistants, and enterprise copilots. While full-model training remains expensive, open-source libraries now make it possible to fine-tune models efficiently on modest hardware using techniques like LoRA,
Transformers revolutionized AI but struggle with long sequences due to quadratic complexity, leading to high computational and memory costs that limit scalability and real-time use. This creates a need for faster, more efficient alternatives. Mamba4 addresses this using state space models with selective mechanisms, enabling linear-time processing while maintaining strong performance. It suits tasks like
Mamba4 Explained: A Faster Alternative to Transformers for Sequential Modeling Read More »
