Pithy Cyborg | AI News Made Simple
Pithy Cyborg | AI News Made Simple
Asking Claude, ChatGPT, or Gemini the same question twice and getting different answers is not a bug, a server error, or evidence that the model is confused. It is the intended behavior of a system …
Continue Reading about Why Does Claude Give Different Answers to the Same Question? →
Retrieval-augmented generation is the most widely deployed hallucination mitigation in production LLM systems and it works exactly as advertised: it significantly reduces fabrication from parametric …
Continue Reading about Why RAG Doesn’t Fix Hallucinations, It Relocates Them →
The intuition that larger training datasets produce more accurate AI models is correct on average and wrong in the specific cases that matter most. More training data makes LLMs better at sounding …
Continue Reading about Why More Training Data Makes LLMs More Confidently Wrong →
The deliberate blurring of AI, machine learning, and deep learning terminology is not confusion. It is a documented commercial strategy with a measurable financial upside. Venture funding for …
Continue Reading about Why Do Companies Call Everything AI When It Clearly Isn’t? →
Companies are training AI systems on deceased people's text messages, emails, social media posts, and voice recordings to simulate continued presence for bereaved family members. The technology works …
Continue Reading about Can AI Actually Bring Back the Dead, and Should It? →
Yes, deliberately, and the design choices that produce that feeling are not accidents of emergent behavior. They are documented UX and reinforcement learning decisions made by product teams who know …
Continue Reading about Are AI Companion Apps Designed to Feel Like Friends? →
