Schools across the United States, specifically in Georgia, Florida, and Colorado, are implementing drone programs designed to react to active shooter situations. Provided by Campus Guardian Angel, these specialized aircraft can deploy pepper balls or deliver kinetic energy strikes intended to incapacitate attackers. The tactical approach for these drones was inspired by battlefield techniques observed during the war in Ukraine. While proponents see them as a way to manage and occupy threats until law enforcement arrives, critics argue that reactive technology fails to address the underlying need for violence prevention strategies.
- Drones are equipped with lances capable of breaking through windows not protected by ballistic film.
- The aircraft support two-way verbal communication between remote operators and people on campus.
- Programs in some states, such as Georgia, have received specific legislative funding to implement the technology.
- Drones are equipped with lances capable of breaking through windows not protected by ballistic film.
- The aircraft support two-way verbal communication between remote operators and people on campus.
- Programs in some states, such as Georgia, have received specific legislative funding to implement the technology.
* **Rapid Model Competition:** The title of "best model" shifted frequently between Anthropic (Claude), OpenAI (GPT), and Google (Gemini) during November 2025.
* **Advancements in Coding Agents:** Using Reinforcement Learning from Verifiable Rewards, coding agents transitioned from being unreliable to becoming dependable "daily-driver" tools for professional work.
* **Rise of Personal AI Assistants ("Claws"):** The emergence of highly popular local personal assistant projects like OpenClaw (formerly Warelay), leading to increased demand for hardware like Mac Minis to run them locally.
* **Gemini 3.1 Pro Release:** Google released an updated model with improved capabilities in visual/SVG generation.
* **Google Gemma 4 Series:** The release of highly capable open-weight models from a US company.
* **GLM-5.1 Release:** A massive, 754B parameter (1.5TB) open-weight model released by the Chinese lab GLM.
* **High-Performance Local Models:** Small, laptop-runnable open-weight models like Qwen3.6-35B-A3B began wildly outperforming expectations and competing with much larger frontier models in specific tasks.
* **Advancements in Coding Agents:** Using Reinforcement Learning from Verifiable Rewards, coding agents transitioned from being unreliable to becoming dependable "daily-driver" tools for professional work.
* **Rise of Personal AI Assistants ("Claws"):** The emergence of highly popular local personal assistant projects like OpenClaw (formerly Warelay), leading to increased demand for hardware like Mac Minis to run them locally.
* **Gemini 3.1 Pro Release:** Google released an updated model with improved capabilities in visual/SVG generation.
* **Google Gemma 4 Series:** The release of highly capable open-weight models from a US company.
* **GLM-5.1 Release:** A massive, 754B parameter (1.5TB) open-weight model released by the Chinese lab GLM.
* **High-Performance Local Models:** Small, laptop-runnable open-weight models like Qwen3.6-35B-A3B began wildly outperforming expectations and competing with much larger frontier models in specific tasks.
A curated reading list for those starting to learn about Large Language Models (LLMs), covering foundational concepts, practical applications, and future trends, updated for 2026.
