Involution Without Export Is Wasted Effort
news
earnedintuition.substack.com
IrregularChat: Tech
2w ago
David Cheng’s account of a week visiting China’s AI ecosystem argues that Chinese AI must be understood against a weak domestic economy. Beijing traffic was unusually light, youth unemployment reached
Anthropic has accused Chinese AI companies DeepSeek and Moonshot of secretly routing customer requests to its Claude models and then presenting Claude’s responses as if they came from their own system
China’s Success Is Forcing a U.S. AI Rethink
news
foreignpolicy.com
IrregularChat: AI & Autonomy
Aug 31
The article argues that China’s recent AI advances are forcing the United States to rethink its strategy. A major shock came with Moonshot’s Kimi K3, an open-weight Chinese model that matched the perf
Smaller, faster, safer: running Kimi and GLM at scale
news
blog.cloudflare.com
IrregularChat: Full Stack Dev
Aug 3
Cloudflare’s Workers AI serves large open models such as Moonshot’s Kimi K-series and Z.ai’s GLM on GPUs close to users, but these models are difficult to host efficiently because of memory limits. To
The article argues that hype around China’s Kimi K3 model highlights a broader problem in AI: “open-washing,” or using the language of openness without meeting the standards of true open source. K3 ha
China’s AI models have Trump’s AI world at war with itself
news
www-technologyreview-com.cdn.ampproject.org
IrregularChat: AI & Autonomy
Jul 22
Over the weekend, several Trump administration AI advisers publicly attacked leading US AI companies while debating how to respond to Kimi, a free open-source model released by Chinese firm Moonshot.
The article argues that China is undermining U.S. AI dominance not just through better models, but through a better distribution strategy. AI models themselves have limited long-term “moat” because us
CL-bench Leaderboard
news
clbench.com
Ehzd1ZUbifpck9XyJf9d/9rX0i3KTg3rh/c4Kceg1iI=
Feb 6
CL-bench is a benchmarking tool designed to assess the context learning capabilities of language models. Unlike traditional evaluations that rely on pre-trained knowledge, CL-bench requires models to