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<title>What is artificial intelligence? A plain English definition</title>
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<description>A clear definition of artificial intelligence, how it differs from ordinary software and automation, and what today&#x27;s systems can and cannot actually do.</description>
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<title>Machine learning explained: how software learns from examples</title>
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<description>How machine learning works in practice: training data, patterns, predictions, and why a model that scores well in testing can still fail badly in the real world.</description>
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<title>Neural networks explained: what is actually inside a model</title>
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<description>What a neural network really is: layers, weights, training by error correction, and why nobody can point to the part of the model that produced a given answer.</description>
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<title>Where AI training data comes from and why it matters</title>
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<description>How AI models are fed: web scraping, licensed archives, user chats and synthetic data, plus why the source shapes what a model knows, repeats and gets wrong.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>What AGI means, and why smart people disagree about it</title>
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<description>Artificial general intelligence explained without hype: the competing definitions, what today&#x27;s systems still cannot do, and how to read a confident prediction about it.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI jargon decoded: 30 words you keep seeing explained</title>
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<description>The AI words that turn up in headlines and settings screens, each defined in one or two sentences: tokens, context, weights, RAG, agents, inference, distillation and more.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How a language model actually works: tokens and probability</title>
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<description>What happens between your question and the answer: tokens, attention, probability over next words, and why a chatbot sounds certain about things it never checked.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>What tokens are and why they decide your AI bill</title>
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<description>Tokens explained: how text is chopped into pieces, roughly how many tokens a page holds, and why they set both the price you pay and the limits you hit.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Context windows: why an AI forgets the start of a long chat</title>
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<description>What a context window is, what happens when a conversation or document overflows it, and practical ways to keep a long session accurate instead of drifting.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How an AI model is trained, from raw text to chatbot</title>
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<description>The three stages behind every chatbot: pretraining on huge text collections, supervised fine tuning on example answers, and reinforcement from human feedback.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Reasoning models: what thinking before answering means</title>
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<description>How reasoning modes differ from a normal chatbot reply, what the visible thinking steps really are, when the extra time and cost pay off, and when they do not.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Model size explained: do more parameters mean better answers?</title>
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<description>What parameters and model sizes actually mean, why a smaller newer model often beats a bigger older one, and how to read the numbers in model names.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Temperature, top-p and the settings that change AI answers</title>
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<description>What temperature, top-p, max tokens and system settings actually do to an AI answer, when changing them helps, and why a lower setting does not mean more truthful.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI agents explained: when a chatbot starts taking actions</title>
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<description>What an AI agent is beyond the marketing: tool use, loops, memory and permissions, plus the failure modes that appear as soon as a model can act rather than answer.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>RAG or fine tuning: which one does your use case need?</title>
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<description>The difference between retrieval augmented generation and fine tuning, what each one fixes, what they cost, and how to pick the right approach for your own data.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Open weight AI models: what open really means here</title>
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<description>Open weights versus open source versus closed models, what the licenses permit, and the practical trade offs if you run a downloadable model yourself.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to write a prompt that gets a usable answer</title>
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<description>A repeatable prompt structure that works across chatbots: state the task, supply context, set constraints, name the format, and iterate on what comes back.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Few shot prompting: giving the AI examples that work</title>
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<description>Why showing two or three examples beats describing what you want, how many to include, and the example mistakes that quietly teach the model the wrong pattern.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to make an AI return the exact format you asked for</title>
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<description>Getting tables, JSON, word counts and consistent structure out of an AI: the instructions that work, the ones that quietly fail, and how to check the output automatically.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Prompt chaining: splitting a big task into steps that work</title>
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<description>Why one giant prompt underperforms, how to split a task into linked steps, and the handoff pattern that keeps quality high across a chain of AI requests.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>System prompts: the instructions you never see</title>
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<description>What a system prompt is, how it differs from your message, why assistants behave differently across apps, and how to write custom instructions that actually stick.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Nine prompt mistakes that ruin the answer you get back</title>
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<description>The habits that produce vague or wrong AI answers: missing context, stacked questions, negative instructions, no format, and treating the first reply as final.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Build a prompt library you will actually reuse</title>
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<description>How to save, name and organize the prompts that work, what to record alongside each one, and how small teams share prompts without buying a dedicated tool.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Why AI makes things up, and what a hallucination really is</title>
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<description>The reason chatbots state false things fluently, which questions trigger it most, and the simple habits that catch a made up answer before you rely on it.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Why AI sounds certain when it is wrong</title>
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<description>Fluency is not confidence and confidence is not accuracy: what the model is really doing when it states something firmly, and the phrasing that reveals a guess.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Why an AI agrees with you even when you are wrong</title>
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<description>Sycophancy explained: why chatbots fold when you push back, how training created the habit, and how to ask in a way that gets disagreement when disagreement is correct.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Made up sources: why AI invents books, cases and studies</title>
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<description>Why chatbots produce citations that look perfect but do not exist, which fields it happens in most, and a fast routine for verifying any reference you are given.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Knowledge cutoffs: why your AI does not know last week</title>
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<description>What a training cutoff date means, why chatbots get recent events wrong or guess, and how to tell whether an answer came from memory or from a live web search.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Why AI gets simple math wrong and when to trust it</title>
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<description>Why a chatbot can explain calculus yet fumble arithmetic, how tokenization breaks number handling, and when a code or calculator tool makes the answer reliable.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI bias: where it comes from and where it shows up</title>
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<description>How bias enters an AI system through data, labels and objectives, the places it surfaces in real decisions, and the questions that expose it before it costs somebody something.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to fact check an AI answer in five minutes</title>
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<description>A repeatable routine for checking what a chatbot told you: which claims to check first, how to verify a citation, and the three questions that catch most invented answers.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Prompt injection: when a web page gives your AI new orders</title>
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<description>How hidden instructions in a document, email or web page can hijack an AI assistant, why the problem is hard to fix, and what it means once an assistant can act on your behalf.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How AI image generators turn noise into a picture</title>
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<description>Diffusion explained in plain English: how a model starts from random noise and removes it step by step, guided by your words, to produce a finished image.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Writing image prompts: subject, style, light and framing</title>
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<description>A structure for image prompts that works across tools, the words that reliably change results, and how to fix a picture that is close but not quite right.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI video: how it is made and what still gives it away</title>
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<description>How AI video generation works, why it is harder than images, the artifacts that still betray it, and what it means for anything you are asked to believe on video.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Voice cloning: how a few seconds of audio becomes a fake call</title>
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<description>How AI voice cloning works, how little audio it needs, the scams it enables, and the family safe word that defeats almost all of them.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<item>
<title>Using AI images legally: rights, credit and the safe path</title>
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<description>Who owns an AI generated image, what the terms of the tool actually allow, where copyright and likeness rules still bite, and a practical checklist before you publish one.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to tell whether a piece of text was written by AI</title>
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<description>The signals that suggest AI writing, why none of them are proof, and how context, drafts and specificity tell you more than any stylistic tell ever will.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<item>
<title>How to tell whether an image was generated by AI</title>
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<description>The tells that still work on AI images, the ones that stopped working, and the provenance data that settles it when your eyes cannot.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI detectors: why the score is not evidence</title>
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<description>How AI text and image detectors actually work, why false accusations happen, what the error rates mean for a student or an employee, and what to do if you are accused.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Content Credentials: the provenance label on a picture</title>
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<description>What C2PA Content Credentials are, what the little label on an image actually proves, where the chain breaks, and how to check a file yourself.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>What an AI chatbot does with the personal data you type</title>
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<description>Where your prompts go, how long providers keep them, who can read flagged conversations, and the categories of information you should never paste into a chatbot.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Where your prompts actually go when you press send</title>
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<description>The journey of a prompt: device, provider, sub processors and region, why enterprise and consumer tiers differ, and how to tell where your text is being handled.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI memory and chat history: what the assistant keeps about you</title>
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<description>The difference between chat history, memory and training data, what an assistant remembers between conversations, and how to see and control each one.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to stop your chats being used to train AI models</title>
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<description>Where the training opt out lives in the main AI tools, why turning it off can disable chat history, and how it differs on free, paid and business accounts.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>How to delete your AI chat data and what deletion means</title>
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<description>Deleting chats, deleting an account and opting out are three different things: what each removes, what is retained for abuse review, and the order to do them in.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI at work: what it is really used for right now</title>
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<description>The tasks where employees genuinely use AI every day, the gap between pilot projects and daily habit, and how to find your own first useful use case.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Where AI actually saves time at work, and where it costs you</title>
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<description>An honest accounting of AI at work: the task types where it reliably helps, the ones where review time cancels the gain, and how to measure the difference for your team.</description>
<category>AI</category>
<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>Writing an AI policy your team will actually follow</title>
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<description>What a usable workplace AI policy contains: approved tools, data rules, disclosure, human review and accountability, with a short template you can adapt.</description>
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<pubDate>Tue, 16 Sep 2026 09:00:00 GMT</pubDate>
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<title>AI meeting notes: what to check before you trust the summary</title>
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