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SEO experts found ChatGPT may cite unreliable sources in business recommendations, including hacked or expired domains. Hackers exploit high domain authority to mislead AI. Users should verify AI suggestions and developers must improve content filtering.....

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.....

Microsoft CEO Satya Nadella recently announced on a social platform that Microsoft has officially launched the revolutionary medical AI system MAI-DxO. This innovative system stands out with its unique "model-agnostic" design, allowing it to flexibly adapt to language models of different manufacturers and capabilities, thereby significantly improving their diagnostic performance. More excitingly, MAI-DxO is not only able to simulate the diagnostic process of real doctors, but also demonstrated diagnostic accuracy far exceeding that of professional physicians in tests, while greatly reducing the cost of medical diagnosis. Microsoft has released test data.

Baidu officially released the ERNIE Bot 4.5 series models and made them fully open source. Users can experience this latest open-source technology immediately through ERNIE Bot (https://yiyan.baidu.com). This series includes multiple parameter configurations, such as Mixture of Experts (MoE) models with activated parameters of 47B and 3B, as well as dense models designed with 0.3B parameters, totaling ten different models. In terms of training and inference, the ERNIE 4.5 series models use PaddlePaddle deep learning.

On June 30, Huawei officially announced the open sourcing of the Pangu dense model with 7 billion parameters, the PanguPro MoE model with 72 billion parameters, and the model inference technology based on Ascend. This open-source initiative is a key step in Huawei's strategy to build an Ascend ecosystem, aiming to promote research and innovation in large model technology, accelerate the application of artificial intelligence across industries, and create value.

After a long period of anticipation and speculation, Xiaomi has finally officially announced its first AI glasses product. This highly anticipated device will be unveiled at tomorrow night's launch event. As another key product in Xiaomi's smart wearables field, the glasses are positioned as personal smart devices for the next generation, drawing widespread attention from the industry and consumers. It is reported that the rumors about Xiaomi AI glasses had already surfaced last year, but Xiaomi has remained silent and did not reveal any specific information. Now, with the release date approaching, the mystery surrounding this product is gradually being unveiled.

As enterprises accelerate the adoption of AI technologies, effectively managing complex AI workflows has become a key challenge. Latest industry analysis indicates that building a robust AI orchestration layer is an effective solution to address prompt chaos. The Dilemma in Choosing AI Orchestration Frameworks: Currently, there are many AI orchestration tools and frameworks on the market, including well-known solutions like LangChain, which presents a challenge for enterprise technology selection.

Recently, MiniMax announced the launch of its new model MiniMax-M1. As the world's first open-source large-scale hybrid architecture inference model, it demonstrates outstanding performance in complex production scenarios, becoming a leader among open-source models. MiniMax-M1 not only surpasses domestic closed-source models but also approaches the level of the most advanced overseas models while maintaining the highest cost-effectiveness in the industry. A notable feature of MiniMax-M1 is its support for up to 1 million context inputs, comparable to the closed-source model G

Alibaba Group announced the release of an upgraded version of its flagship AI model Qwen3, which has successfully been adapted to Apple's MLX architecture. This indicates that the launch of Apple Intelligence in the Chinese market may be imminent. According to Alibaba, the new Qwen3 version boasts stronger performance, supporting 119 languages and dialects, further enhancing user experience. In the previous iOS 18.4 update, Apple Intelligence had already started supporting Simplified Chinese, but its generation ...

Recently, the official account of Alibaba's Tongyi Qwen announced the official release and open-sourcing of the full series of 32 Qwen3 MLX quantized models. This move has attracted widespread attention in the AI field. MLX is an open-source machine learning framework specifically designed for deep compatibility with Apple chips, providing efficient capabilities for training and deploying large AI models, and is increasingly favored by many AI developers. Alibaba's actions are seen by insiders as preparation for domestic Apple Intelligence (Apple AI). Previously, multiple authoritative messages had hinted that Alibaba...

Tencent has released the technical report on Qwen TurboS, revealing the core innovations and powerful capabilities of its flagship large language model TurboS. According to the latest rankings from the global authoritative large model evaluation platform Chatbot Arena, Qwen TurboS ranks seventh among 239 participating models, making it the top model domestically after Deepseek, and internationally trailing only Google, OpenAI, and xAI.

Family members, today I must tell you about a super cool new achievement in the academic world - Flow-GRPO! This thing is something special; it's like injecting a super evolution agent into image generation models, directly elevating them from 'Bronze' to 'King'. Do you want to know how it does that? Quickly grab your stools and listen carefully! The Growing Pains of Image Generation Models: Nowadays, image generation models, such as those based on flow matching, have a solid theoretical foundation and generate high-quality results.