As anyone who has used ChatGPT Search or Perplexity knows, these AI chatbots are significantly enhanced by the ability to search the web and provide citations inline. Web searches may lessen so-called hallucinations, which occur when a generative AI produces inaccurate information. Results are better when they include timely information.
An API that enables developers to access web information from reputable, high-end sources and provide the findings to a large language model (LLM) to enhance its responses is being developed by the French firm Linkup. This process is known by many AI developers as Retrieval-Augmented Generation or RAG.
More significantly, it’s unclear what the future holds for scraping bots. These bots are stealing content from the open web without payment if there isn’t an established financial agreement between content creators and the organizations scraping web pages. This arrangement has many people unhappy, which is raising regulatory concerns regarding AI training.
The current state of affairs with online scraping may soon alter due to the presence of high-profile legal issues, such as the ongoing dispute between the New York Times and OpenAI, the company that created ChatGPT. For this reason, OpenAI has inked multi-year content licensing agreements with prominent publishers, including the Financial Times, Le Monde, Axel Springer, Condé Nast, El País, and AP.
The co-founder and CEO Philippe Mizarhi share their opinion and say they set up the company around the time when Open AI was making deals with news sources. For training or the interface purpose to augment the answers from the Open AI models along with the products. They all thought this was a great option because they finally had the AI company that paid for their sources.
They linked up with the co-founder and CEO Philippe Mizrahi told the tech crunch and layout. They are going to connect the AI devs with the content providers hopefully for their mutual benefit.
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