A novel technique allows an AI agent to use data crowdsourced from nonexpert human users to learn and complete tasks through reinforcement learning. This approach trains the robot more efficiently and effectively compared to other methods.

Children in the UK are using AI image generators to create indecent images of other children, according to the UK Safer Internet Centre (UKSIC). The charity has highlighted the need for immediate action to prevent the problem from spreading. The creation, possession, and distribution of such images is illegal in the UK, regardless of whether…

Merriam-Webster has chosen “authentic” as its Word of the Year for 2023 due to its increased relevance in the face of fake content and deep fakes. The word has multiple meanings, including being genuine and conforming to fact. This decision reflects the current crisis of authenticity in a world where trust is challenged by the…

Language models like GPT-4, which are part of the field of Artificial Intelligence, have gained popularity due to their remarkable capabilities in various fields. These models excel in tasks such as coding, mathematics, law, and understanding human intentions. GPT-4 can process text, images, and even display characteristics of Artificial General Intelligence (AGI). Recent research has…

UK and US cyber security agencies have developed guidelines to enhance the security of AI systems. The guidelines focus on secure design, development, deployment, and operation, aiming to prevent cybercriminals from hijacking AI and accessing sensitive data. While the guidelines are non-binding, they have the endorsement of 16 countries. However, the prevalence of zero-day vulnerabilities…

Microsoft introduces Orca 2, an advanced reasoning model for smaller language models. Unlike traditional imitation learning, Orca instructs models in different reasoning techniques to improve their reasoning and comprehension skills. Orca 2 outperforms other models in various language tasks and achieves high accuracy. The departure from imitation learning showcases a new approach to unlocking the…

L1 and L2 regularization are techniques used in machine learning to prevent overfitting. Overfitting occurs when a model is too complex and learns from both the underlying patterns and the noise in the training data, resulting in poor performance on unseen data. L1 and L2 regularization add penalty terms to the model’s loss function, discouraging…

OpenAI’s recent CEO ousting has generated speculation about a supposed AI breakthrough, revealing a new powerful model called Q* capable of solving grade-school math. Experts note that while AI models struggle with math problems, solving them would be a significant development. However, this does not signify the birth of superintelligence or pose an immediate threat.…