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Doubao recently released a series of updates to its large models. Doubao 1.5 Deep Thinking model and Doubao Text-to-Image 3.0 model are now officially available via Volcano Engine's open APIs for developers and enterprise clients. These two models have achieved industry-leading performance in both reasoning and general tasks, and have made significant progress in visual reasoning and image generation.

At the recently held Volcano Engine FORCE LINK AI Innovation Roadshow, Volcano Engine President Tan Dai officially announced the Doubao 1.5 Deep Thinking Model, marking the official launch of this innovative technology for enterprise services. Doubao 1.5 not only upgrades its basic functions but also introduces more intelligent application scenarios to help enterprises achieve more efficient digital transformation. Tan Dai stated at the launch that the Doubao 1.5 Deep Thinking Model can combine visual understanding to provide more innovative functions. For example, the model can generate...

Volcano Engine today released an event pre-heating announcement, officially declaring that its new Doubao large model will be officially launched tomorrow (April 17th) at the FORCE LINK AI Innovation Tour Hangzhou station. Official information shows that this release will bring a brand-new upgrade to the Doubao large model family and will particularly introduce the highly anticipated Doubao 1.5 Deep Thinking Model. Previous reports revealed that the Doubao APP and desktop client have undergone multiple rounds of experimental testing for the "Deep Thinking Mode." After this release, the model will officially provide services to enterprise clients. It is understood that Doubao...

Los modelos de lenguaje visual de código abierto Kimi-VL y Kimi-VL-Thinking han superado a GPT-4o en varias pruebas de referencia. Estos modelos representan un avance significativo en el campo de la inteligencia artificial, combinando la capacidad de procesamiento del lenguaje natural con la comprensión de imágenes.

In education, we're taught to "show your work." Now, advanced AI models claim to do just that. However, new research reveals that these models sometimes obfuscate their true reasoning processes, fabricating elaborate explanations instead. A recent study from Anthropic's research team, investigating simulated reasoning (SR) models including their own Claude models and DeepSeek's R1, found these models often misrepresent their 'thinking' when

Thinking Machines Lab, a new AI startup from former OpenAI CTO Mira Murati, is reportedly pursuing one of the largest seed funding rounds in history. According to Business Insider, the company has doubled its seed funding target to $20 billion. If successful, this round would value the company at least $10 billion. Thinking Machines Lab has only recently emerged from stealth mode and currently has no publicly available products.

Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, has added two heavyweight advisors from her former employer: former OpenAI Chief Scientist Bob McGrew and former OpenAI researcher Alec Radford. Their contributions bring significant expertise and energy to the company, which is focused on developing AI that meets individual needs.

Anthropic today announced Claude for Education, an AI assistant designed for the education sector to enhance learning by fostering critical thinking skills, rather than simply providing answers. The product is already partnering with Northeastern University, the London School of Economics, and Champlain College to extensively test how AI can effectively augment, not shorten, the learning experience. A core innovation in Claude for Education is its learning mode, a feature fundamentally altering how students interact with AI.

Zhipu AI today launched its latest Agent product, AutoGLM-Thinking, at the 2025 Zhongguancun Forum. This is the industry's first Agent product to integrate deep research capabilities with operational capabilities, its key feature being the ability to think and act concurrently. AutoGLM-Thinking breaks the limitations of traditional AI models, capable of simultaneously performing complex reasoning and executing actions. It can, like a human, open and browse web pages, completing entire tasks from data retrieval and analysis to report generation, achieving a tight integration of thought and action. Zhipu AI stated...

Doubao, the AI assistant from ByteDance, has announced the launch of its new deep thinking feature, now in testing. This update marks another breakthrough in AI assistants' information processing and reasoning capabilities, providing users with more comprehensive and accurate intelligent services.

Following the release of the official Tencent HunYuan T1 last week, many users have been eager to know when this new version would be available on Yuanbao. In the latest news, Tencent officially announced that the official version of HunYuan T1 and the latest version of DeepSeek V3 are now available, bringing users a brand-new experience. HunYuan T1 is Tencent's self-developed deep thinking model, and compared to the previous T1 Preview version, it has undergone comprehensive upgrades. The new version not only improves speed and performance but also significantly enhances overall effectiveness, achieving second-level response times, and...

Tencent Yuanbao announced a major update to its two models, releasing the official version of HunYuan T1 and the latest DeepSeek V3-0324. This update brings users more powerful AI capabilities, providing comprehensive support for both in-depth thinking and rapid answer generation.

Ever felt frustrated by a seemingly clueless AI, wishing you could make it think before acting? Now, Anthropic has given AI a major brain upgrade! They've equipped their star model, Claude, with a groundbreaking 'think tool,' enabling it to handle complex tasks not by blindly rushing in, but by pausing to carefully consider its decisions, much like a human. This isn't just about slowing things down; it's about...

The official version of HunYuan T1, based on large-scale reinforcement learning, has undergone specialized optimization for science and engineering challenges such as mathematics, logical reasoning, science, and code, resulting in a significant improvement in reasoning capabilities. On common benchmarks, such as the enhanced MMLU-PRO dataset for evaluating large language models, HunYuan T1 achieved an excellent score of 87.2.