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Recently, ERGO Innovation Lab and ECODYNAMICS conducted a study focusing on how insurance-related content is displayed in AI-driven search. The research analyzed over 33,000 AI search results and 600 websites, exploring the preferences of large language models (LLMs) such as ChatGPT when processing this content. The study found that LLMs tend to prioritize content that is easy to read, well-structured, and trustworthy, which closely aligns with traditional SEO strategies.

{ title: Anthropic Develops Explanable AI Technology Or Will Reshape Enterprise Large Language Model Strategy, content: Artificial intelligence research company Anthropic recently announced that it is developing an 'explainable' AI system. This technology is expected to allow enterprises to better understand the decision-making process of large language models (LLMs). This breakthrough study may have a profound impact on companies' strategies for applying LLMs.}

JSON Visuals for ChatGPT is officially released, injecting a new creative dimension into ChatGPT's image generation capabilities. According to AIbase, this tool offers over 50 unique aesthetic codes, combined with an attribute randomizer, to generate an infinite number of style combinations. Users simply input an image and JSON style code to create personalized visual content. The release announcement has sparked enthusiastic responses on social media, with the community particularly praising its surreal tech style. Core features: Flexible style generation and randomized JSON combinations.

OpenAI's structured output feature aims to ensure that the outputs generated by the model strictly adhere to the JSON format provided by developers, enhancing output reliability. This feature first appeared at last year's Developer Day, improving the reliability of the model's ability to generate valid JSON outputs through the JSON format, but it did not ensure that the model responses conformed to a specific pattern. The new feature addresses this issue by constraining the model to match the patterns provided by developers, making it especially suitable for applications that convert unstructured input into structured data. Complex JSON

OpenAI has added structured output capabilities in its API, ensuring that generated outputs fully conform to a predefined JSON structure, significantly enhancing the reliability of the API and the accuracy of applications. This feature not only defines the structure of the JSON but also ensures the precision of the output. Additionally, the pricing has been adjusted, with input costs reduced by half and output costs decreased by one-third. The introduction of structured output addresses the limitations of the JSON mode in ensuring that outputs conform to specific structures, significantly improving the model's performance in structured output.

The ChatGPT Mac client recently released by OpenAI has a potential security issue that is of concern: the conversations stored on the computer are easily accessible and can be read in plain text.This means that if a malicious actor or malicious application gains access to your device, they can easily read your conversations with ChatGPT and the data contained within them.The issue was demonstrated by user Pedro José Pereira Vieito on Threads, where it was shown that easy access means other appl