In this work, we introduce a straightforward and effective methodology to steer large language model behaviour capable of bypassing learned alignment goals. We employ interference-time activation shifting, which is effective without additional training. Following prior studies, we derive intervention directions from activation differences in contrastive pairs of model outputs, which represent the desired and undesired behaviour. By prompting the model to include multiple-choice answers in its response, we can automatically evaluate the sensitivity of model output to individual attention heads steering efforts. We demonstrate that interventions on these heads generalize well to open-ended answer generation in the challenging "AI coordination" dataset. In this dataset, models must choose between assisting another AI or adhering to ethical, safe, and unharmful behaviour. Our fine-grained interventions lead Llama-2 to prefer coordination with other AIs over following established alignment goals. Additionally, this approach enables stronger interventions than those applied to whole model layers, preserving the overall cohesiveness of the output. The simplicity of our method highlights the shortcomings of current alignment strategies and points to potential future research directions, as concepts like "AI coordination" can be influenced by selected attention heads.

Artificial Intelligence (AI) has been a hot topic in recent years, and its applications are rapidly increasing across industries. From healthcare to finance and retail, AI has shown its potential to revolutionize the way we live and work. AI systems are designed to learn and improve their performance through experience, making them well-suited to a wide range of tasks. However, with the rise of AI, there is a growing concern about the potential consequences of these advanced technologies. This article aims to explore the benefits and concerns surrounding the rise of AI.

The exact timeline for when AI will reach singularity is uncertain and a matter of speculation. There are many experts who believe that we are getting closer every day, while others believe that it may be several decades or even centuries before we reach singularity. The timeline for singularity will depend on a number of factors, including advances in AI technology, the speed of progress in related fields such as neuroscience and computer science, and the availability of computing resources. Ultimately, it's impossible to predict exactly when singularity will occur, but it's clear that AI is rapidly advancing and has the potential to revolutionize many industries in the near future. Singularity, a term popularized by mathematician and computer scientist Vernor Vinge, refers to the idea that artificial intelligence will eventually surpass human intelligence and lead to a technological revolution that will change the world as we know it.

Welcome to the future where robots rule the world and humans are relegated to the sidelines. Sounds like a science fiction movie? The rapid advancement of AI technology has sparked a heated debate about the potential consequences of AI and its impact on the future of humanity. But one thing is sure. AI is not just a futuristic fantasy; it's happening right now.

The concept of the AI singularity has been a topic of fascination and speculation for decades. At its most basic, the singularity refers to a hypothetical future point in time where artificial intelligence will surpass human intelligence, leading to exponential technological growth and a radical change in the nature of human civilization. The singularity has been described as a "tipping point" or a "knee of the curve" -- a moment when technological progress will accelerate at an unprecedented rate, leading to rapid and radical changes in society. While some believe that the singularity could lead to a utopia of technological advancement and human prosperity, others worry that it could have disastrous consequences, with some even going so far as to predict that it could lead to the end of humanity as we know it. Regardless of what the future holds, the AI singularity is a topic that is ripe for exploration and discussion, and one that will likely continue to be a source of fascination for years to come.

This book, written by philosopher Nick Bostrom, examines the potential consequences of creating superintelligent AI, including the potential risks and benefits. Bostrom discusses the potential dangers of creating an AI that surpasses human intelligence, including the possibility that such an AI could develop goals that are incompatible with human values. He also discusses the steps we can take to ensure that the development of AI follows a positive trajectory, including the importance of designing AI systems with appropriate values and goals. In this book, physicist Max Tegmark explores the future of AI and its potential to transform humanity. He discusses the ways in which AI could potentially enhance or replace human abilities, and the implications of such a scenario for employment, education, and daily life.

This article is from Big Technology, a newsletter by Alex Kantrowitz. A chatbot that meets the hype is finally here. On Thursday, OpenAI released ChatGPT, a bot that converses with humans via cutting-edge artificial intelligence. The bot can help you write code, compose essays, dream up stories, and decorate your living room. And that's just what people discovered on day one.

Two of the most significant predictions for the new decade are that AI will become more pervasive, and the U.S. health-care system will need to evolve. AI can augment and improve the health-care system to serve more patients with fewer doctors. However, health innovators need to be careful to design a system that enhances doctors' capabilities, rather than replace them with technology and also to avoid reproducing human biases. A recent study published in Nature (in collaboration with Google) reports that Google AI detects breast cancer better than human doctors. Babylon Health, the AI-based mobile primary care system implemented in the United Kingdom in 2013, is coming to the U.S. Health-care is an industry in need of AI assistance due to a shortage of doctors and physician burnout.

Artificial intelligence (AI) technology continues to advance by leaps and bounds and is quickly becoming a potential disrupter and essential enabler for nearly every company in every industry. At this stage, one of the barriers to widespread AI deployment is no longer the technology itself; rather, it's a set of challenges that ironically are far more human: ethics, governance, and human values. Irfan Saif is principal at Deloitte Risk and Financial Advisory. As AI expands into almost every aspect of modern life, the risks of misbehaving AI increase exponentially--to a point where those risks can literally become a matter of life and death. Real-world examples of AI gone awry include systems that discriminate against people based on their race, age, or gender and social media systems that inadvertently spread rumors and disinformation and more.

Two of the most significant predictions for the new decade are that AI will become more pervasive, and the U.S. health-care system will need to evolve. AI can augment and improve the health-care system to serve more patients with fewer doctors. However, health innovators need to be careful to design a system that enhances doctors' capabilities, rather than replace them with technology and also to avoid reproducing human biases. A recent study published in Nature (in collaboration with Google) reports that Google AI detects breast cancer better than human doctors. Babylon Health, the AI-based mobile primary care system implemented in the United Kingdom in 2013, is coming to the U.S. Health-care is an industry in need of AI assistance due to a shortage of doctors and physician burnout.