Video editing platform InVideo recently launched a significant upgrade version 3.0, introducing AI-based text-to-video generation capabilities. Users can create real-life footage, animated, or anime-style video content simply by entering text prompts, with customizable adjustments for different platforms such as YouTube, Instagram Reels, and LinkedIn. Although this new feature relies on third-party AI models, users can dynamically modify the video in real-time by adding text prompts.

Recently, the image AI startup Recraft released its latest text-generating image model, Recraft v3, which has shown exceptional performance in independent testing, redefining the standards for image generation performance. According to Recraft, the v3 model excels in generating text within images, maintaining anatomical accuracy, understanding prompts, and creating high-quality visual content. Its biggest breakthrough is the ability to accurately present long segments of text in a single generation, while many other models struggle with more than a few words.

In an age of information overload, efficiently acquiring knowledge has become a challenge for many learners and professionals. Recently, an open-source tool named PDF2Audio has emerged, cleverly combining artificial intelligence technology with traditional reading methods to provide users with a new way of obtaining information. The core function of PDF2Audio is to convert PDF documents into audio content. This tool utilizes OpenAI's GPT model for text generation and speech synthesis, allowing various PDF files to be transformed into podcasts, lectures, or excerpts.

On August 30, Jinjiang Literature City issued a statement firmly opposing the recent AI infringement incident on the Xiaohongshu platform, emphasizing the protection of copyright for original content. In this incident, a blogger used original works on the platform to train an AI model and generate text, even establishing a group to share tutorials to attract traffic. Jinjiang Literature City believes this action severely infringes on the rights of authors and has sent a rights protection letter to the Xiaohongshu platform demanding the removal of infringing content and accounts. The platform stated it will continue to monitor such infringing behavior and resolutely protect authors' legitimate rights, explicitly indicating that it will not tolerate any theft of works.

The research team at Tsinghua University has successfully developed the 'LongWriter' artificial intelligence system, which can generate coherent texts exceeding 10,000 words, paving new avenues for long-form writing and content creation. By constructing the 'LongWriter-6k' dataset, which includes 6,000 writing samples, the research team has increased the maximum output length of the AI model from approximately 2,000 words to over 10,000 words. This innovative achievement not only enhances the AI's performance in long text generation tasks but even surpasses larger-scale models.

The standout feature of OpenAI's new model gpt-4o-64k-output-alpha is its ability to output up to 64K tokens at once, making it suitable for generating rich and detailed content, catering to writing, programming, and complex data analysis needs. However, this functionality comes at a higher API cost, with a fee of $18 per million output tokens, compared to just $6 for input tokens per million. This pricing strategy aims to match high computational costs and encourage responsible use of this powerful tool. The model is designed for creativity and research fields.

In the field of artificial intelligence, a new storm is brewing. Google is set to launch a new AI model called "Eureka," which has sparked widespread attention in the AI community. The Eureka model has made a striking impression in the LMSYS Arena, a platform used for comparing AI performance.Comparison of "AI Word Use" between Eureka and Claude3.5 The Eureka model is attracting attention for its exceptional text writing abilities. Early evaluations show that Eureka surpasses other models in gen

As the flames of AI battle move towards the education sector, iFLYTEK unveils its Spark Large Model V4.0, marking the start of a contest between intelligence and wisdom. This is not only a leap in technology but also a disruption of traditional educational models. At this launch event themed 'Your Understanding AI Assistant', iFLYTEK issued a challenge to GPT-4 Turbo, vowing to compete in the battlefield of AI.

The popularity of ChatGPT has led to explosive growth of domestic large models. With rapid advancements in AI technology, AI products are being widely applied across multiple domains, from text generation to AI chatbots. Qimai Data has released the AI Application Ranking, indicating that AI products account for 26% of the market, with comprehensive AI products and audio generation AI products making up a significant portion. Major manufacturers are launching AI products with various functions, and AI is being utilized in numerous fields. Since 2023, new products have been continuously launched, and the AI product market is gradually taking shape, with significant room for growth.

Mistral AI has launched a new top text generation model, Mistral Large, which has excelled in multiple benchmark tests. Mistral AI also released a new model, Mistral Small, optimized for latency and cost. The collaboration between Mistral AI and Microsoft has led to online concerns about Microsoft's monopolistic market strategies. Mistral AI is seeking a balance between maintaining its open-source commitment and commercialization.

The release of Midjourney V6 brings more realistic image processing and finer details. The new version offers basic text drawing capabilities, referred to by founder David Holz as a third-generation model. The five major upgrades of V6 include longer prompt responses, improved model knowledge, and optimized image generation. Speed, image quality, and prompt response will continue to improve in the coming weeks. The text generation feature of V6 allows users to guide the model's creations more flexibly.

Zhipu AI has launched the high-quality, low-cost scoring model CritiqueLLM. Traditional evaluation metrics such as BLEU and ROUGE lack an understanding of overall semantics. CritiqueLLM proposes an interpretable and scalable text quality evaluation model that outperforms other models across 8 common tasks. CritiqueLLM generates scores through methods such as user query augmentation, reference text evaluation data collection, non-reference text evaluation data rewriting, and model training.

Stanford researchers found that GPT-4's review comments for Nature and ICLR papers matched human reviews over 50% of the time. Researchers inputted the PDF of a paper into GPT-4 to obtain review comments, which were then compared to human feedback. The similarity of GPT-4's reviews was over 82%, with authors believing the comments were helpful. Compared to humans, GPT-4 paid more attention to the paper's impact factor and showed less concern for ablation studies. Users generally believe that GPT-4's feedback could improve accuracy and reduce the workload of manual reviews.

{1: The first batch of 5 AI large model products in Beijing has been approved and will officially provide services to the public. 2: This marks a significant breakthrough for domestic tech companies in the fields of voice, image, and text generation. 3: The products include Baidu's Wenxin Yiyan, Douyin's Yunque, Baichuan Intelligence's Baichuan Large Model, Zhishi Qingyan, and Zidong Taichu.}