According to Business Insider, as the artificial intelligence industry continues to attract investment and attention, the competition for talent between Elon Musk's xAI and Sam Altman's OpenAI has intensified. Musk filed a lawsuit in August this year, accusing OpenAI of using 'lavish salaries' to 'starve competitors.' To verify Musk's salary claims, Business Insider analyzed the wage data for special visa applications from both companies since 2024.

Baidu AI's Wenxin Yiyuan AI painting technology has received a major upgrade, now supporting one-click generation of images in multiple aspect ratios, greatly simplifying the image preparation process for new media. The professional version of Wenxin Yiyuan AI painting technology allows users to input the desired image aspect ratio, and the system can automatically generate images in multiple sizes, covering various needs within a width-to-height ratio of 2:1. For example, simply adding the aspect ratio term '3:4' to the prompt will prompt the system to generate images of the corresponding size. This technology not only improves work efficiency but also enhances visual effects, significantly benefiting new media.

Opera has launched its latest browser, Opera One, now available on iOS, featuring AI technology for an enhanced browsing experience. The search function is optimized with a Google Lens icon for intuitive content searching. A new 'tab comparison' feature consolidates information from multiple shopping sites, simplifying the comparison process. Improved history management allows users to easily retrieve visited websites by asking questions, particu....

Worth Buying Technology announced an official partnership with large model company MiniMax. MiniMax's large model product, HAI-AI, has been integrated into Worth Buying's 'Consumer Large Model Enhancement Toolkit.' Through the 'Floating Ball' feature of HAI-AI, users can now quickly compare prices and make purchases. This collaboration not only enriches Worth Buying Technology's AI ecosystem but also promotes co-construction and win-win cooperation with partners in the large model industry.

Recently, several artificial intelligence large models have garnered widespread attention for making errors in simple numerical comparisons. Prominent AI models, including ByteBean, GPT4o, Kimi from the Dark Side of the Moon, StepStar JumpAsk, and Baichuan Intelligence's BaiXiaoYing, all provided incorrect answers to basic questions like "Which is larger, 9.11 or 9.9?" Additionally, earlier reports indicated that multiple large models incorrectly answered how many "r"s are in the word "strawberr

Agently Workflow (hereinafter referred to as Agently) and LangGraph (hereinafter referred to as LangGraph) are two popular framework modules that exhibit distinct differences in terms of functionality, complex workflow propositions, and implementation solutions. This conclusion has sparked widespread discussion and attention in the industry. The recent comparative document points out that in some aspects of complex workflow orchestration and management, Agently possesses superior capabilities co

The 'laziness' phenomenon of GPT-4 has become a hot topic once again, with the completion rate dropping by nearly a quarter. The new version of ChatGPT has longer responses, but the content has not improved. Netizens are puzzled about the reasons behind GPT-4's laziness and potential optimization strategies. Ultraman suggests that improvements should be made in the new year, but specific measures remain to be revealed.

Poe, in collaboration with SurgeAI, conducted a systematic evaluation of mainstream large models across four dimensions: reasoning, writing, creativity, and non-English language capability. The evaluation results show that GPT-4 performs best in all dimensions, particularly in English tasks; Google's PaLM excels in non-English language capabilities. Claude 2 ranks second in reasoning, while Llama 2 70b ranks third in writing and creativity. The evaluation methods include industry benchmark tests, expert assessments, Elo ratings, etc., to highlight the strengths of each model.