It is no longer theoretical; the world's major powers are working with large language models to enhance offensive cyber operations. Advanced persistent threats (APTs) aligned with China, Iran, North Korea, and Russia use large language models (LLMs) to enhance their operations. New blog posts from OpenAI and Microsoft reveal that five prominent threat actors have used OpenAI software for research, fraud, and other malicious purposes. After identifying them, OpenAI shuttered all their accounts
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The UK’s National Cyber Security Centre (NCSC) issued a warning this week about the growing danger of “prompt injection” attacks against applications built using AI. While the warning is meant for cybersecurity professionals building large language models (LLMs) and other AI tools, prompt injection is worth understanding if you use any kind of AI tool, as attacks using it are likely to be a major category of security vulnerabilities going forward.
Prompt injection is a kind of attack against LL
Computer professionals may be impressed with artificially intelligent Large Language Models (LLMs) like ChatGPT that can write code, create an app, and pass the bar exam. A large language model (LLM) is a type of artificial intelligence (AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content. LLMs are capable of processing and generating text, and can be used for a wide range of applications, including language
ChatGPT is a large language model (LLM) falling under the broad definition of generative AI. The sophisticated chatbot was developed by OpenAI using the Generative Pre-trained Transformer (GPT) model to understand and replicate natural language patterns with human-like accuracy. The latest version, GPT-4, exhibits human-level performance on professional and academic benchmarks. Without question, generative AI will create opportunities across all industries, particularly those that depend on l
Robots are taking over the world. According to Oxford Economics, there will be 14 million robots in China by 2030 and 20 million worldwide. In the USA, robots will modify or replace 1.5 million job positions. Labor shortages due to the COVID-19 pandemic encouraged both manufacturers and warehouse companies to partner with robotic companies to optimize human and robot collaboration. We have already seen robots build robots, what is next?
Now enter the engineers from Google, they have unveile
