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Perplexity
Perplexity launched in 2022, founded by a small team including former OpenAI and Meta researchers, positioning itself specifically as an "answer engine" rather than a traditional search engine or general-purpose chatbot — designed to directly answer a user's question in natural language while citing its specific sources inline, rather than returning a list of links to click through. That citation-forward approach directly addressed one of the most persistent criticisms of AI chatbots generally — the tendency to state incorrect information confidently without any way for a user to verify it — by building source attribution into the core product experience from the very beginning rather than as an afterthought. Perplexity has positioned itself as a genuine competitive threat to traditional web search specifically, drawing comparisons to Google in a way most competing AI chatbots haven't emphasized as directly, and the company has continued expanding into more specialized research and shopping-assistant features built around that same real-time, cited-answer format. Perplexity's combination of a citation-first answer format and its direct positioning as a search-engine alternative rather than a general chatbot has made it one of the more distinctly focused AI products in a market increasingly crowded with broader general-purpose assistants.
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GitHub Copilot
GitHub Copilot launched in technical preview in 2021 and became generally available in 2022, developed jointly by GitHub (a Microsoft subsidiary) and OpenAI, and it was among the first AI coding assistants to reach mainstream adoption among professional software developers, integrating directly into code editors to suggest completions as a programmer types. The tool's core technology is built on OpenAI's Codex model, a version of GPT specifically trained on a massive corpus of publicly available source code, letting it suggest entire functions or blocks of code based on a programmer's comments or partially written code rather than just completing single words or lines. Copilot's arrival sparked genuine industry debate over intellectual property and licensing, since its training data included publicly available open-source code under a wide range of different license terms, a controversy that led to lawsuits and ongoing broader legal and ethical debate over how AI coding tools should handle training data drawn from copyrighted source code. Copilot's combination of direct code-editor integration and its foundational role in normalizing AI-assisted programming across the software industry has made it one of the most widely adopted professional AI tools in the world, credited by many developers with measurably speeding up routine coding work.
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