Explanations
Why "Live Data Access" Does Not Mean Real-Time Learning
Live data access lets AI retrieve information — not learn from it. Here’s why those are fundamentally different processes.
Explanations
Clear, factual breakdowns of AI concepts, claims, and technical topics.
Explanations
What AI Hallucinations Actually Are — and What They Aren’t
What AI “hallucinations” actually are — and what they aren’t. This explanation clarifies why models confidently produce false outputs, how prediction differs from knowledge, and why hallucinations are a structural limitation rather than a bug or deception.
Explanations
What Grok actually is - and what it isn't
This explanation separates Grok’s technical reality from the claims surrounding it, clarifying how the system works, why it feels different, and where common misconceptions arise.
Explanations
What “Alignment” Actually Means in AI — And What It Doesn’t
A clear explanation of what AI “alignment” really means, how it works, and why it is often misunderstood as a guarantee of safety or moral behaviour.
Explanations
What "Model Memory" Actually Means in AI
This explanation clarifies what model memory is, what it is not, and why the confusion persists.
Explanations
What training data really means — and why it matters
A clear explanation of what training data is, how AI models learn from it, and why misunderstandings about data lead to exaggerated claims about capability.
Explanations
How chatbots actually work behind the scenes
A clear explanation of how chatbots work behind the scenes by converting text into tokens and predicting the most likely next output.
Explanations
What is an AI model anyway?
A clear explanation of what an AI model actually is, how it works, and what it does and does not understand.