Zhipu AI officially released GLM-5 on February 11, 2026. It's currently one of the largest open-source Large Language Models by parameter count. GLM-5 utilizes a 744B MoE (Mixture of Experts) architecture, activating 40B parameters per inference, and has reached the top tier for open-source models in reasoning, coding, and Agent tasks. Core Value: By the…
Author's Note: An in-depth comparison of MiniMax-M2.5 and GLM-5, two major open-source models released in February 2026. We'll analyze their strengths across six dimensions: coding, reasoning, agents, speed, pricing, and architecture. On February 11-12, 2026, two Chinese AI giants released their flagship models almost simultaneously: Zhipu GLM-5 (744B parameters) and MiniMax-M2.5 (230B parameters). Both utilize…
If you've found yourself staring at a "Connection is not secure" screen with the ERR_SSL_VERSION_OR_CIPHER_MISMATCH error while trying to open ChatGPT in February 2026, you're not alone. This guide breaks down 8 ways to fix this SSL connection error so you can get back to using ChatGPT in no time. Core Value: By the end…
Author's Note: A deep dive into the coding capabilities of MiniMax-M2.5 vs. Claude Opus 4.6 across five dimensions: SWE-Bench, Multi-SWE-Bench, BFCL tool calling, coding speed, and pricing. Choosing an AI coding assistant is always a top priority for developers. In this post, we'll compare the coding prowess of MiniMax-M2.5 and Claude Opus 4.6 across five…
Author's Note: A deep dive into the coding capabilities, agent performance, and API integration for MiniMax-M2.5 and M2.5-Lightning. With an SWE-Bench score of 80.2%, it rivals Opus 4.6 at just 1/60th of the cost. On February 12, 2026, MiniMax released two model versions: MiniMax-M2.5 and M2.5-Lightning. This marks the first open-source model to surpass Claude…
Author's Note: Claude Opus 4.6 Agent Teams lets multiple AI agents collaborate in parallel to complete complex tasks. This article explains the working principles, architectural design, use cases, and setup steps from scratch. Claude Opus 4.6 introduces a game-changing capability—Agent Teams. Simply put, you can now have multiple Claude instances collaborating like a real development…
Author's Note: A step-by-step guide to using Nano Banana Pro for creating four types of scientific methodology diagrams—model architectures, algorithm flowcharts, encoder-decoder frameworks, and system pipelines. Includes prompt templates and best practices. Methodology diagrams in research papers are the first point of entry for reviewers and readers to understand your approach—a clear architecture diagram is…
Author's Note: A deep dive into how PaperBanana creates scientific statistical charts by generating executable Matplotlib code instead of pixel images, completely eliminating numerical hallucination issues across 7 chart types, including bar charts, line graphs, and scatter plots. Statistical charts in scientific papers carry the core conclusions of your experiments—the height of a bar, the…
Author's Note: This article provides a detailed explanation of the working principles and usage of the five AI agents within the PaperBanana scientific drawing framework. Combined with the low-cost Nano Banana Pro API solution, it aims to help researchers efficiently generate high-quality figures for their papers. Methodology figures and statistical charts in scientific papers have…
Author's Note: A deep dive into the 5 core breakthroughs of Qwen-Image-2.0, the unified image generation and editing model. We'll cover technical highlights like the 7B lightweight architecture, native 2K resolution, and 1000-token long prompts, along with an API integration and usage guide. On February 10, 2026, the Alibaba Tongyi team released Qwen-Image-2.0. This is…
