Search AI Products and News

Recently, Tencent Cloud officially launched the API service for the Tencent Hunyuan A13B model on its official website. The input price is set at 0.5 yuan per million Tokens, and the output price is 2 yuan per million Tokens, which has quickly sparked enthusiastic discussions in the developer community. As the first 13B-level MoE (Mixture of Experts) open-source hybrid inference model in the industry, Hunyuan-A13B features a total of 80B parameters and only 13B activated parameters, achieving performance comparable to leading open-source models of the same architecture, while also demonstrating efficient reasoning capabilities.

Shanghai Jiao Tong University and DP Technology's X-Master AI system set a 32.1 record in the HLE test, featuring tool-enhanced reasoning and multi-agent collaboration for biomedical breakthroughs.....

Kunlun releases Skywork-R1V3.0, an open-source multimodal model achieving expert-level reasoning. It excels in physics (52.8), logic (59.7), and math (77.1), outperforming Claude-3.7-Sonnet and GPT-4.5 with only 25K training samples.....

In August 2024, iFlytek officially launched the Starfire Ultra Human-like Interactive Technology. Through end-to-end speech modeling and multi-dimensional emotional disentanglement training, it achieves three core breakthroughs: response speed, emotional resonance, and controllable speech expression. This technology can accurately detect emotional fluctuations in user speech and respond with appropriate tone in real time, while supporting dynamic adjustment of speech rate, voice, and character settings. It marks a significant leap from 'functional implementation' to 'emotional connection' in voice interaction. Currently, the Super Human-like Interactive API has been officially launched on the iFlytek Open Platform, allowing developers to access the technology at a low cost.

El 3 de julio, el instituto francés de investigación en inteligencia artificial Kyutai Labs anunció el lanzamiento del código abierto de su última tecnología de síntesis de voz (TTS), Kyutai TTS, ofreciendo soluciones de generación de voz eficientes y en tiempo real a desarrolladores e entusiastas de la IA. Kyutai TTS destaca por su bajo latencia y sonido de alta fidelidad, permitiendo la transmisión de texto en flujo, comenzando a generar audio sin necesidad de tener todo el texto completo, especialmente adecuado para escenarios de interacción en tiempo real. Kyutai TTS destaca por su excelente rendimiento. Utiliza una sola tarjeta gráfica NVIDIA L40S

Recently, Google announced that the API of its flagship AI model, Gemini2.5Pro, has been reintroduced to the free tier of Google AI Studio. This news has triggered widespread attention and enthusiastic discussions within the developer community. According to AIbase, this move marks another important advancement in Google's efforts to popularize AI technology, offering developers lower barriers to innovation. As the most advanced AI model from Google so far, Gemini2.5Pro is known for its exceptional multimodal capabilities and strong reasoning power.

OpenAI announced the official opening of API access to its deep research models, providing developers with a powerful set of tools including automatic web search, data analysis, MCP (Model Communication Protocol), and code execution. The models opened include the deep research versions of o3 and o4-mini, which have already been used in ChatGPT. Now, developers can directly call these models via API. These models are particularly suitable for complex tasks that require obtaining the latest information and performing advanced reasoning. In terms of function expansion, o3,

Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.

Recently, a research team from the University of Hong Kong, The Chinese University of Hong Kong, and SenseTime has released a groundbreaking framework - GoT-R1. This new multimodal large model significantly enhances the semantic and spatial reasoning capabilities of AI in visual generation tasks by introducing reinforcement learning (RL), successfully generating high-fidelity and semantically consistent images from complex text prompts. This advancement marks another leap in image generation technology. Currently, although existing multimodal large models have made significant progress in generating images based on text prompts

Recently, AI Infrastructure company SiliconBase Flow officially announced a strategic cooperation with Alibaba Cloud. SiliconBase Flow has joined the "Alibaba Cloud Flower Program" and entered the Alibaba Cloud Marketplace. This collaboration marks the beginning of deep cooperation in the AI field, working together to promote the development of large model services. According to the cooperation content, the core API services of SiliconBase Flow's large model inference platform, SiliconCloud, will fully integrate into Alibaba Cloud Bailian Platform, supported by Alibaba Cloud Lingjun Intelligent Computing Clusters, providing convenient and efficient large model services for cloud customers.

The plan's advancement has triggered dissatisfaction among developers. According to VentureBeat, OpenAI's current API deprecation involves the GPT-4.5 Preview version, which is an intermediary model launched between GPT-4 and GPT-5. Multiple developers have stated that this sudden change has disrupted their development plans, forcing significant adjustments to applications already built based on this API. A developer who wished to remain anonymous commented: We understand the necessity of technological iteration, but the lack of sufficient buffer time in the schedule has brought additional pressure to development teams.