In-depth articles with more detailed investigations, interesting thought pieces, and more.
Freelance writers and journalists are increasingly being hired by tech companies to write hypothetical responses for chatbots. These texts serve as training material for the AI, enabling it to deliver better and more reliable results. The demand for such AI annotators is high, as the models cannot be trained solely on synthetic data. Experts estimate …
Generative AI is increasingly producing questionable scientific papers that can be found, for example, via Google Scholar. This is the result of an analysis by Swedish researchers. They found 139 papers with evidence of covert use of ChatGPT, especially on controversial topics such as the environment and health. Most of these papers appeared in non-indexed …
Large technology companies are investing billions in the development of artificial intelligence. As Bloomberg reports, even AI startups with hundreds of millions of dollars in funding can barely keep up. Companies like Meta, Google, and Microsoft, as well as a few startups like OpenAI, are spending huge sums on computing power, training data, and talent. …
Chatbot Arena, a benchmarking tool for AI models, has become very popular in the tech industry. As Kyle Wiggers reports on TechCrunch, companies like OpenAI and Google use the platform to test the performance of their chatbots. Millions of people visited the LMSYS website last year. However, experts are critical of the validity of the …
This article examines the rapid evolution of generative AI technology. The author describes how the once-clear landscape of more than 200 companies in various categories has exploded, creating challenges for IT decision makers. The complexity of the technology requires a flexible vision that can adapt to constant change. Organizations are looking for end-to-end solutions that …
The increasing demand for computing power and storage for AI applications is challenging the industry. While the power of AI models continues to grow, the infrastructure required to support them is reaching its limits. This article examines the problem of scaling AI applications and possible solutions. In addition to optimizing cloud infrastructures, the integration of …
Artificial intelligence is revolutionizing search, writes VentureBeat. Generative AI makes it possible to ask questions in natural language and get a direct answer without having to click through countless websites. Companies are using this development to implement “Retrieval Augmented Generation” (RAG), a technology that combines AI models with an organization’s own data to provide more …
The article, “From AGI to ROI: The 6 AI debates shaping enterprise strategy in 2024” by Matt Marshall sheds light on the current evolution of AI in the enterprise environment. As the initial euphoria over the capabilities of AI models such as ChatGPT fades, the focus shifts to practical applications and return on investment (ROI). …
Rodney Brooks, a renowned robotics expert at MIT, cautions against overestimating generative AI. Although he sees great potential in the technology, he cautions against attributing to it capabilities that it does not possess. Brooks criticizes the fact that people often overgeneralize the capabilities of AI systems, forgetting that AI is not human and therefore cannot …
Steve Chase, vice chairman for AI and digital innovation at KPMG, argues that companies need a chief AI officer (CAIO) to make the most of the opportunities presented by AI. This person should have technical understanding, strategic flair, and the ability to innovate. Chase advocates responsible AI governance that takes into account both rapid advances …