The latest in AI news, analysis, tutorials, and more.
Most developers default to one model, many prompts. A finance simulation that runs each agent on a different lab's small model proves the opposite approach produces richer, more unpredictable behavior—and the engineering challenges aren't where you'd expect.
Stop staring at blank calendars wondering what to post next. This tutorial shows you how to build an AI-powered content calendar that generates topic ideas, schedules posts, and keeps you consistent — all using free tools and zero coding.
A hackathon project proves small models can power complex multi-agent systems through design, not scale. Five AI traders on Qwen2.5-3B create emergent market crashes, wealth gaps, and price swings—without a single call to GPT-4.
Replit is assembling an impressive financial stack for AI-generated apps—Shopify storefronts, RevenueCat subscriptions, Visa agent payments. But they're solving the wrong problem. The real barrier to profitable vibe-coded apps isn't monetization infrastructure—it's customer acquisition in a world where everyone can ship.
May 2026 marked Google's pivot to agentic AI with Gemini 3.5 and Omni models. The company rolled out proactive features across Search, Android, health tracking, and new hardware designed specifically for these capabilities.
After testing both AI assistants on 50+ real coding tasks, Claude 3.5 Sonnet wins for complex logic and code quality. ChatGPT takes speed and debugging. Here's the full breakdown with benchmarks.
Stop scrambling for daily social media posts. This step-by-step guide shows you how to use AI tools to plan a month of content in one afternoon—no design or writing skills required.
Cursor restructured its pricing this week, cutting annual Teams costs by 20% while rolling out enterprise governance tools for budget control. The moves come as the AI coding industry abandons flat-rate subscriptions in favor of consumption-based billing.
NVIDIA released Nemotron 3.5 Content Safety, a 4B-parameter model that combines multimodal input evaluation, multilingual reach across 140 languages, custom enterprise policy enforcement, and auditable reasoning traces in one inference call. The model addresses critical gaps in production AI safety pipelines.
Nvidia released Nemotron 3 Ultra, a 550-billion-parameter open-weight model optimized for long-running agents. While it's the fastest among U.S. open-weight models and promises 30% cost savings, it still lags behind Chinese competitors and GPT-5.5 on core benchmarks.
