What Is MCP (Model Context Protocol) — and Why Does It Matter?
MCP is an open standard that lets AI models like Claude and ChatGPT connect to outside tools, files, and apps — instead of needing custom code for every single connection.
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MCP is an open standard that lets AI models like Claude and ChatGPT connect to outside tools, files, and apps — instead of needing custom code for every single connection.
Read more →A token is the small chunk of text an AI model actually reads and writes, and it's what most AI pricing is now based on. Here's what tokens are — and why some languages need more of them than others.
Read more →AI providers are replacing flat subscriptions with metered, pay-per-token billing for heavy and agentic use. Here's what usage-based pricing means and why the shift is happening now.
Read more →Anthropic has pulled Claude Fable 5 out of subscription plans and moved it to pay-per-token billing, charging $10 per million input tokens and $50 per million output tokens.
Read more →GLM is the open-weight AI model family from Chinese lab Zhipu AI (Z.ai) — free to download and self-host, and competitive with top US models at a fraction of the API cost.
Read more →Midjourney turns text prompts into images using AI. Here's what it is, how to start using it, what it costs, and why it keeps ending up in court.
Read more →When you chat with ChatGPT, Claude, or Gemini, what happens to that data? Here is what the main AI tools actually do with your conversations — and how to stay in control.
Read more →AI companions are chatbots built for emotional connection, not task completion. As apps like Replika and Character.AI reach tens of millions of users, governments in China, the US, and Europe are introducing rules to protect vulnerable users.
Read more →AI agents are AI systems that can pursue multi-step goals on their own — writing code, browsing the web, filling forms — without waiting for human input at every step. Here's what they are, how they work, and how to try one today.
Read more →Chatbot Arena (now Arena) is a free platform that ranks AI models through blind human votes — and it’s the leaderboard the whole AI industry watches.
Read more →Chinese tech company Meituan has disclosed that "Owl Alpha," an anonymous model that topped OpenRouter rankings for two months, was its 1.6-trillion-parameter LongCat-2.0 — trained entirely on domestic chips and now free under an MIT license.
Read more →AI translation tools now support Georgian, but quality varies. This guide explains how neural machine translation works, which tools handle Georgian best, and when human review is still essential.
Read more →Mistral's new open-source model for Lean 4 fully saturates the miniF2F theorem benchmark, solves 87% of graduate-level math tests, and found five previously unknown bugs in production code — at roughly $4 per proof versus $300 for competing systems.
Read more →AI can help with emails, reports, blog posts, and creative drafts — but the best results come from knowing how to work with it, not just what to type. Here is a practical guide.
Read more →Anthropic released Claude Sonnet 5 on June 30, delivering near-Opus-level reasoning and agentic capabilities at introductory API pricing of $2 per million input tokens.
Read more →AI can now turn any text into realistic speech, clone a voice from a short sample, and dub video into dozens of languages. Here is what the technology is, how it works, and how to start using it.
Read more →AI in education means tools that adapt to each student's pace, provide instant tutoring feedback, and free teachers from routine tasks — from intelligent tutors to automatic lesson planners.
Read more →Anthropic released Claude Science in beta on June 30 — an AI workbench connecting scientists to 60-plus biological databases with reproducible outputs and built-in compute management, available to all paid subscribers.
Read more →RAG connects a large language model to your own documents so it answers from verified sources instead of guessing. Here is how it works, where it is used, and how to get started.
Read more →Microsoft committed $2.5 billion and 6,000 engineers to a new subsidiary that stations AI specialists directly inside client organizations, competing with similar offerings from OpenAI, Anthropic, and Amazon.
Read more →An AI benchmark is a standardized test used to compare how capable different AI models are. Here's what the major ones measure — and why the scores don't always tell the full story.
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