Search AI Products and News

On April 25th, Quark AI Super Box, under Alibaba, launched an innovative feature – 'Photo Ask Quark'. This new function, based on advanced visual understanding and reasoning models, can more accurately understand and answer various questions users encounter in the physical world.

The new version of Zhihu Straight Answer boasts several innovative features. Users can upload and parse web pages, documents, and other knowledge bases, and treat each Zhihu answerer as an independent knowledge base. By focusing on a single answer or all the works of a specific answerer, users can ask questions, search, and parse to obtain more targeted and professional answers. This feature significantly enriches the content sources for AI search, resulting in more accurate and reliable search results.

A recent study highlights significant issues with AI search engines handling news information. The Columbia Journalism Review (CJR)'s digital news lab tested eight AI tools with real-time search capabilities, revealing alarming results: over 60% of news queries yielded inaccurate answers. The study found considerable variation in error rates across different AI platforms, with Grok3 exhibiting a 94% error rate and ChatGPT Search reaching 67%. Even paid versions, such as Perplexity,

Today, well-known popular science blogger 'Three Dads Laboratory' announced via Weibo that Tencent's Yuanbao app has integrated DeepSeek technology and embedded advertising content in its answers. Screenshots shared by the blogger show that in the suggestions and reminders provided by the Yuanbao app to avoid pitfalls, users are explicitly recommended to compare prices and make appointments through legitimate platforms like 58 Daojia, as well as to inquire prices through Kuaihuishou or local legitimate recyclers. These suggestions have been criticized for potentially containing embedded advertisements.

Recently, OpenAI made significant updates after launching its flagship AI models o3 and o3-mini, altering the way o3-mini responds. Now, this model not only answers users' questions but also showcases its thought process, providing greater transparency to users. This change marks an important step for OpenAI in enhancing user experience, making the use of AI tools more human-centered. The updated o3-mini, especially in 'high reasoning' mode.

At the end of 2024, Baidu announced its annual AI prompt for 2024: 'Answer'. This choice reflects the year-long reliance and expectations people have for AI, as well as the role AI plays in societal emotions and personal confusion. Throughout the year, many individuals began seeking answers from AI, with frequently used terms such as 'answer', 'why', 'what is', 'help me', and 'how', revealing 2024's social sentiments and showcasing the confusion and pursuit within people's hearts.

Baidu Wenku recently launched a new feature called 'AI All-Net Search', aimed at enhancing the efficiency and accuracy of information retrieval through powerful AI technology, providing users with a comprehensive and diverse knowledge graph. In this era of information explosion, users need to quickly capture key points from vast amounts of data, while traditional search engines often drown people in complex results. 'AI All-Net Search' redefines information retrieval by integrating various types of information from the internet, making every search an efficient, precise, and enjoyable journey of knowledge exploration.

A recent study led by the Technion-Israel Institute of Technology reveals that large language models (LLMs) may be more knowledgeable than they appear. Researchers found that LLMs' internal representations encode information about the correctness of their outputs, allowing them to identify the correct answer even when they ultimately generate an incorrect one. The research team focused on analyzing LLM errors in long text generation, which is more aligned with their real-world application scenarios. They constructed an error detection dataset to compare the model's outputs.

Recently, a study published in Nature revealed a thought-provoking phenomenon in the development of artificial intelligence: as large language models (LLMs) continue to evolve, they increasingly tend to provide answers with 'full confidence', even when those answers may be incorrect. This phenomenon has sparked broad discussions on AI reliability and the risks of use. The research team, led by José Hernández-Orallo from the Valencia Institute of Artificial Intelligence in Spain, conducted an in-depth analysis of AI models.