Artificial Analysis (@ArtificialAnlys)

Z-Image Turbo가 오픈 웨이트 텍스트→이미지 모델 분야에서 FLUX.2 (dev), HunyuanImage 3.0 (Fal), Qwen-Image 등을 제치고 새로운 1위로 등극했습니다. 이 모델은 알리바바 Tongyi-MAI 팀이 공개한 첫 모델로 소개되었으며, Artificial Analysis Image Arena에서 성능 우위를 기록했다는 내용입니다.

https://x.com/ArtificialAnlys/status/2002839525609865575

#texttoimage #openweights #alibaba #generativeai

"After years of lagging behind, Chinese AI models — especially open-weight LLMs — seem to have caught up or even pulled ahead of their global counterparts in advanced AI model capabilities and adoption.

We profile and compare the capabilities and distinct features of four notable Chinese open-weight language model families, highlighting that China’s ecosystem of open-weight LLMs is driven by a wide range of actors who are prioritizing the development of computationally efficient models optimized for flexible downstream deployment.

Diverse commercial strategies for translating open-weight model adoption into business success are emerging, yet their long-term viability remains uncertain.

The Chinese government’s support of open-weight model development — while not the sole determinant of its success — has played a substantial role, though there is no guarantee it will continue.

The widespread global adoption of Chinese open-weight models may reshape global technology access and reliance patterns, and impact AI governance, safety, and competition. Policymakers should ground their policy actions in a granular understanding of real-world deployment."

https://hai.stanford.edu/policy/beyond-deepseek-chinas-diverse-open-weight-ai-ecosystem-and-its-policy-implications

#AI #GenerativeAI #China #LLMs #Deepseek #Chatbots #OpenWeights #OpenSource

[Motif Technologies] - Lab AI Hàn Quốc công bố mô hình ngôn ngữ **Motif-2-12.7B-Reasoning**, trọng số mở, tập trung vào suy luận logic. Đây là bước tiến mới trong AI, hỗ trợ phân tích phức tạp. #MôHìnhAI #AI #MotifTech #NgônNgữ #TrọngSốMở #MangAI #OpenWeights

https://www.reddit.com/r/singularity/comments/1pj8t07/motif_technologies_a_south_korean_ai_lab_enters/

"[T]he US and China are also adopting very different approaches to adopting AI. The big US companies mostly favour massive, proprietary, “closed-weights” models, such as ChatGPT and Gemini, which may be best suited to achieving generalisable intelligence. By contrast, Chinese AI companies favour smaller, cheaper (and arguably less safe) “open-weights” models, such as DeepSeek and Alibaba’s Qwen, that can be more readily adapted by developers. In part, China is making a virtue of necessity because US export restrictions have denied it access to the state-of-the-art silicon chips needed to build the most powerful foundation models. But it also reflects China’s priority in rapidly diffusing the technology.  

Michael Power, the former global strategist of the investment firm Ninety One, reckons the US is making a “catastrophic strategic error” in betting so heavily on giant closed AI models. “China’s model is turning out to be far more effective in terms of usable compute in the real world,” Power tells me, especially considering the country’s lower energy costs. Even Sam Altman, OpenAI’s chief executive, has expressed his personal concern that “we have been on the wrong side of history here”.

A recent study by MIT and Hugging Face found that Chinese open models have now overtaken comparable US models in terms of global adoption. Many US companies, including Airbnb, have become fans of the “fast and cheap” Qwen. In this critical area too the question arises: can the west catch up with China?"

https://www.ft.com/content/45615c0a-952d-49b6-b2e0-c35d3826768f

#AI #GenerativeAI #USA #China #OpenWeights #OpenSource

"Over the past year, a growing share of America’s hottest AI startups have turned to open Chinese AI models that increasingly rival, and sometimes replace, expensive U.S. systems as the foundation for American AI products.

NBC News spoke to over 15 AI startup founders, machine-learning engineers, industry experts and investors, who said that while models from American companies continue to set the pace of progress at the frontier of AI capabilities, many Chinese systems are cheaper to access, more customizable and have become sufficiently capable for many uses over the past year.

The growing embrace could pose a problem for the U.S. AI industry. Investors have staked tens of billions on OpenAI and Anthropic, wagering that leading American artificial intelligence companies will dominate the world’s AI market. But the increasing use of free Chinese models by American companies raises questions about how exceptional those models actually are — and whether America’s pursuit of closed models might be misguided altogether.

Michael Fine, head machine learning at Exa, an AI-focused search company valued at $700 million and supported by Silicon Valley mainstays like Lightspeed Venture Partners and Nvidia, said running Chinese models on Exa’s own hardware has proved to be significantly faster and less expensive than using bigger models, like OpenAI’s GPT-5 or Google’s Gemini, in many cases."

https://www.nbcnews.com/tech/innovation/silicon-valley-building-free-chinese-ai-rcna242430

#AI #GenerativeAI #China #USA #OpenWeights #OpenSource #Startups

Apple Releases Open Weights Video Model - (starflow-v.github.io)

https://starflow-v.github.io/

#apple #openweights #ai

Apple Releases Open Weights Video Model

https://starflow-v.github.io

#HackerNews #Apple #OpenWeights #Video #Model #Technology #Innovation #AI #VideoProcessing

DeepSeek releases open-weights math model with IMO gold medal performance

https://huggingface.co/deepseek-ai/DeepSeek-Math-V2

#HackerNews #DeepSeek #OpenWeights #Math #Model #IMO #Gold #Medal #Performance #AI #Innovation #MachineLearning

Self-Hosting LLM: Why the Details Matter 🔍

More and more organizations are exploring self-hosted LLMs, driven by concerns about data protection, rising API costs, and the desire for true digital sovereignty.

Yet one key detail often goes unnoticed: the difference between Open Source and Open Weights.

In our latest blog post, we break down what companies should know before running LLMs on their own infrastructure: 🔗 https://zammad.com/en/blog/self-hosting-llms

#LLM #SelfHosting #AI #OpenSource #OpenWeights