Google’s Nested Learning AI introduces a new continual learning paradigm, allowing AI models to add new knowledge on top of existing layers without forgetting prior skills.
Antigravity AI is Google’s new browser‑use platform that lets AI agents click, type, and run commands inside web browsers and IDEs. This article dives into its features, security patches, and how it can transform development workflows.
Vibe coding tools let you build UI and app flows by writing plain language. This guide covers how they work, a tutorial, and a security checklist.
This guide dives into the latest agentic AI tools—Antigravity IDE, Cursor 2.0, Notion Blueprint Agents, Browser.ai, and top open‑source LLMs—showing how they streamline coding, testing, and collaboration.
Antigravity AI brings a multi‑agent IDE to the browser, enabling instant code generation, testing, and documentation—all while addressing early security concerns.
Mixtral 8x22B is Mistral’s latest open‑source language model. With 176 B parameters, a 16 k token limit, and an Apache 2.0 license, it offers competitive performance for code generation and AI assistants.
Open‑source LLMs 2025 have brought powerful, affordable models into the hands of developers. From Claude Opus 45 to GPT‑5, these new releases improve reasoning, safety, and deployment flexibility.
The year 2025 brings powerful open‑source LLMs like Olmo 3, GLM 4.6, and GPT‑5.1 Codex‑Max. This guide explains their strengths, how to use them, and the tools that make AI development accessible.
Synthetic data reinforcement learning lets AI models generate, edit, and learn from their own data, boosting accuracy while cutting training costs. Learn how it works, its benefits, and how developers can start using this new technique.
Open‑source LLMs 2025 are reshaping AI development. This guide explores key models, practical use cases, and how Neura tools can help you build faster, cheaper, and more privately.