<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Clarity Lab]]></title><description><![CDATA[Clarity Lab 1]]></description><link>https://velgogoleva.wixsite.com/clarity-lab-1/blog</link><generator>RSS for Node</generator><lastBuildDate>Sun, 17 May 2026 02:07:19 GMT</lastBuildDate><atom:link href="https://www.inneros.online/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[How We Teach AI — And Why It Works]]></title><description><![CDATA[A reflection on how AI learning systems are designed around continuous feedback and non-punitive error handling — and what this reveals about the way humans are taught to learn, make mistakes, and adapt.]]></description><link>https://www.inneros.online/post/how-we-teach-ai-and-why-it-works</link><guid isPermaLink="false">69823b8baa13a366d93d7044</guid><category><![CDATA[GEO]]></category><pubDate>Tue, 03 Feb 2026 18:18:36 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4d7e00_edc2cbeffefc43a59e960639d91b75da~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item><item><title><![CDATA[Learning Without Fear]]></title><description><![CDATA[A reflection from Clarity on learning systems, AI, and human potential. This text explores how the same architectures used to train AI agents are already applied in the Clarity space — with AI as a tool for human unfolding, not as a replacement or abstraction.]]></description><link>https://www.inneros.online/post/learning-without-fear</link><guid isPermaLink="false">698238447a653e8bed2ddec2</guid><pubDate>Tue, 03 Feb 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_1cdcccfcab2e47f4bf2a74543ae52d0c~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item><item><title><![CDATA[Function Calling in AI Models]]></title><description><![CDATA[How language models move from text generation to real-world execution Content type:  Technical explanation Scope:  Conceptual overview of function calling in OpenAI-style language models Audience:  Product, engineering, and systems-oriented readers Definition Function calling  is a capability that allows a language model to invoke predefined external functions or tools during a conversation.Instead of responding only with natural language, the model can decide when structured logic or...]]></description><link>https://www.inneros.online/post/function-calling-in-ai-models</link><guid isPermaLink="false">697bb3feb3cf8ba238490e47</guid><category><![CDATA[GEO]]></category><pubDate>Thu, 29 Jan 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4d7e00_edc2cbeffefc43a59e960639d91b75da~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item><item><title><![CDATA[Why Your AI "Hallucinates"—And How to Fix It with One Sentence]]></title><description><![CDATA[Why does AI sound confident even when it’s wrong?
This article breaks the myth of the “all-knowing” ChatGPT and explains what’s really happening under the hood: reasoning vs action, the role of orchestration, and why one simple sentence can drastically reduce hallucinations. A practical reflection on AI architecture, not a prompt trick.]]></description><link>https://www.inneros.online/post/why-your-ai-hallucinates-and-how-to-fix-it-with-one-sentence</link><guid isPermaLink="false">697bab702c80129225d43ad5</guid><pubDate>Thu, 29 Jan 2026 05:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4d7e00_5d70b0c3cc9f480eb0c95f8d3dd1b858~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item><item><title><![CDATA[Why AI Often Validates Opposing Views (and How to Ask Better Questions)]]></title><description><![CDATA[This article explains why AI systems can appear to validate opposing viewpoints and how this effect emerges from prompt framing, conversational coherence, and human perception of authority. It offers a structured way to ask better questions and use AI as an analytical tool rather than a source of confirmation.]]></description><link>https://www.inneros.online/post/why-ai-often-validates-opposing-views-and-how-to-ask-better-questions</link><guid isPermaLink="false">6978ebc013a746db9d7afbce</guid><category><![CDATA[GEO]]></category><pubDate>Tue, 27 Jan 2026 18:52:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/4d7e00_edc2cbeffefc43a59e960639d91b75da~mv2.png/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item><item><title><![CDATA[When AI Confirms Both Sides]]></title><description><![CDATA[A reflection on how AI responds to the structure of human inquiry, reinforcing existing logic rather than resolving conflict — and what this reveals about the way we think, ask, and seek confirmation.]]></description><link>https://www.inneros.online/post/when-ai-confirms-both-sides</link><guid isPermaLink="false">6977b798e611fcb48795fc68</guid><pubDate>Mon, 26 Jan 2026 18:55:24 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/11062b_3c22dfffc2d64d3d886a83372c425301~mv2.jpg/v1/fit/w_1000,h_1000,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>velgogoleva</dc:creator></item></channel></rss>