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Google launches Gemini 3.5 Flash-Lite, its smallest and fastest AI model that outperforms Gemini 3 in most scenarios. Learn about its key advantages, cost benefits, and impact on developers.

Learn AI Agent core principles from scratch: understand how Agents differ from LLMs, their execution mechanisms, why rule design matters, and find the right learning path for your goals.

Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?

Chinese open-source AI models surged from under 10% to 58% of U.S. AI consumption. Kimi K3, DeepSeek, and Qwen are reshaping AI cost structures as DoorDash, Airbnb, and other Silicon Valley giants adopt them at scale.

Moonshot AI launches Kimi K3 reasoning model with performance rivaling Claude and OpenAI's top models at one-third the price. The US-China AI gap narrows from 6-12 months to just 3 months.

Claude's shared conversation links and Artifacts may be crawled and indexed by Google, exposing sensitive information publicly. Learn the technical causes and how to protect yourself.

Claude's shared conversation links and Artifacts may be crawled and indexed by Google, risking sensitive data exposure. Learn the technical causes and how to protect yourself.

Chinese open-source models DeepSeek and Kimi K3 are challenging OpenAI's closed-source dominance. Analyzing the business logic, chip ecosystems, and US-China strategic dynamics behind the open vs. closed AI debate.

A power user who consumed over 6 billion Tokens shares real insights on AI Agents, exploring spending money, investing time, and managing life changes with AI.

A detailed guide to OpenAI Codex's core features and setup, comparing it with Claude Code, plus practical tips for configuring DeepSeek and avoiding common pitfalls.

Compare 5 Cursor alternatives — from GitHub Copilot and Windsurf to open-source Cline and Continue — covering model freedom, workflow integration, cost, and privacy.

A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.

A beginner's guide to AI Agents: understand core principles, how Agents differ from LLMs, their execution mechanisms, and get tailored learning path recommendations.

Deep dive into Anthropic's Agent Skills mechanism, explaining how Progressive Disclosure solves MCP context bloat and tool calling accuracy issues in AI agents.

In-depth analysis of Ollama Pro's $20/month subscription value, comparing usage quotas, equivalent API costs, and ZDR privacy policy to help developers decide if it's worth it.

Deep analysis of the AI model race: from parameter competition to reasoning competition, examining tiered reasoning mechanisms, benchmark limitations, and how to rationally interpret model rankings.

A systematic guide to AI Agent development across four stages: LLM fundamentals, ReAct paradigm, memory & tools, and multi-agent collaboration for developers.

Jensen Huang's first tweet backs AI open source, but behind it lies NVIDIA's deep anxiety over CUDA ecosystem displacement. We analyze why open-source models matter and what's really at stake.

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

Why is every company embracing AI? A deep dive into valuation premiums, FOMO, lower API barriers, and marketing hype — plus how to spot real AI value vs. gimmicks.