Category: Blog
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LLMs: They Know More Than They Let On (And That’s a Problem)
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In a fascinating new study titled “Inside-Out: Hidden Factual Knowledge in LLMs,” researchers have uncovered compelling evidence of a significant gap between what LLMs know internally and what they can express in their outputs. This phenomenon, termed “hidden knowledge,” has important implications for evaluating and improving AI systems. The Knowledge Paradox Consider this scenario: You…
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The Invisible Threat in Your Code Editor: AI’s Package Hallucination Problem
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The intersection of artificial intelligence and software engineering is experiencing profound transformations, yet those advancements come with significant threats. A recent study conducted by researchers at the University of Texas at San Antonio (UTSA) sheds light on the critical safety issues posed by AI in software development, particularly focusing on ‘package hallucination’—a phenomenon where AI systems generate…
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Beyond Chatbots: How Manus Showed Me the True Future of AI Agents
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The screen flickered as Manus processed my request. Not with the familiar spinning wheel of most AI systems, but with a visible, methodical breakdown of tasks it was completing in real-time. I watched, somewhat mesmerized, as it opened browser windows, scanned research papers, compared technical specifications, and synthesized information—all without me typing another word. This wasn’t just…
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Hacking Gemini: How Researchers Turned Google’s AI Against Itself
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When you ask an AI assistant like Google’s Gemini a question, you expect it to follow specific rules – like not revealing private information or helping with malicious activities. But what if someone could trick these guardrails into failing almost every time, using nothing but Google’s own free tools? That’s precisely what researchers at UC…