AI News & Articles
Stay updated with the latest AI news, insights, and trends, including breakthroughs in AI safety, ethical challenges, and innovative technologies. Explore expert articles covering topics like multishot jailbreaks, AI alignment, and more.
Comparing AI Models: Moonshine, Alibaba AI, DeepSeek, and ChatGPT
A collaboration between A. Insight and the Human. As artificial intelligence (AI) continues to evolve, different AI models cater to a variety of applications. Comparing AI models like Moonshine, Alibaba AI, DeepSeek, and ChatGPT helps businesses and individuals choose...
Protecting Your LLM from Prompt Injection: Risks, Examples, and Mitigation Strategies
A collaboration between A. Insight and the Human. Large Language Models (LLMs) are transforming industries, but their vulnerability to prompt injection attacks presents a significant security challenge. These attacks manipulate LLM behavior by embedding malicious...
Phishing via Prompt Injection: A Growing Threat in LLM Interactions
A collaboration between A. Insight and the Human As Large Language Models (LLMs) become increasingly integrated into digital interactions, cybercriminals are leveraging phishing via prompt injection to manipulate AI-generated outputs. This sophisticated attack method...
The Pros and Cons of Using AI Text Detectors: Understanding Their Capabilities and Limitations
A collaboration between A. Insight and the Human As AI-generated content becomes more sophisticated, the need for AI text detectors has grown across industries. These tools help determine whether a text was written by a human or an AI, but they come with notable...
Mitigating the Risk of Advanced Prompt Engineering in Learning Institutions
A collaboration between A. Insight and the Human As AI tools become more sophisticated, advanced prompt engineering allows students to generate highly human-like AI-generated content that can bypass plagiarism detection and AI text detectors. While AI presents...
AI-Generated Content That Passes AI Text Detectors: Advanced Prompt Engineering Explained
A collaboration between A. Insight and the human As AI text detectors become more sophisticated, so do the methods used to bypass them. AI-generated content that passes AI text detectors is often the result of advanced prompt engineering, a technique that enhances the...
Mitigation Strategies for Base64 Exploitation in LLMs
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) become integral to various applications, their security risks grow. One significant threat is Base64 exploitation, where malicious actors encode harmful content to bypass security measures....
Bias in AI Language Models: Navigating Between Misinformation and Ethical Constraints
A Collaboration with A. Insight and the Human Bias in AI Language Models is a pressing issue as these systems are increasingly used in chatbots, content generation, and automated decision-making. While AI models aim for neutrality, they often reflect biases present in...
Data Poisoning in AI Training: How AI Models Are Shaped by Intentional Bias
A Collaboration with A. Insight and the Human Data Poisoning in AI Training refers to the deliberate manipulation of an AI model’s dataset to influence its outputs, making them biased, unreliable, or censored. While data poisoning is often associated with external...
Understanding Data Poisoning: The Hidden Threat to LLMs and Why Reputable Models Matter
A Collaboration with A. Insight and the Human As Large Language Models (LLMs) continue to revolutionize industries, they are increasingly targeted by data poisoning attacks—a method used to manipulate AI outputs by injecting malicious or biased data into training...