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Funding6 storiesBig Tech4 storiesPolicy4 storiesModels2 storiesHot Takes1 storyOpen Source1 story

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Alibaba20 storiesQwen14 storiesAnthropic11 storiesClaude11 storiesOpenAI7 storiesHugging Face6 stories

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The Decoder / 11:31 AM

Alibaba's Qwen Audio 3.0 TTS Plus tops the competition in the text-to-speech rankings

Alibaba's Qwen Audio 3.0 TTS Plus tops Artificial Analysis' Speech Arena leaderboard. The model supports 16 languages and lets users control speaking style with natural language or tags like [angry]. At 16 characters per second, though, it's far slower than rivals Sonic 3.5 and Simba 3.2. The article Alibaba's Qwen Audio 3.0 TTS Plus tops the competition in the text-to-speech rankings appeared first on The Decoder .

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Simon Willison LLMs / 5:09 PM

Who’s Afraid of Chinese Models?

Who’s Afraid of Chinese Models? Interesting proposal from Ben Thompson that both addresses the hypocrisy of labs outlawing distillation against their models despite training on unlicensed data, and could help US open models compete more effectively with their Chinese counterparts: The U.S. should pass a law that (1) makes explicit that collecting data for training models is fair use, and (2) bars terms of service that forbid distillation, for U.S. companies at a minimum. Stopping distillation — which is literally just querying the API — is nearly impossible; the U.S. should go the other way and lean into a new copyright policy that both indemnifies the labs and also guarantees that what they learned fuels further innovation for everyone else. Ben also theorizes that Alibaba's decision to release Qwen 3.8 Max as open weights - a reversal from their decision not to release Qwen 3.7 Max in May - may have been influenced by a recent speech by Xi Jinping, who said: We should seize this rare, historic opportunity to encourage open source, openness, collaboration and sharing. And on the subject of Qwen 3.8 Max - a new 2.4T parameter model (nearly as large as the 2.8T Kimi K3) - here's a pelican it drew : I particularly enjoyed seeing these notes in the (extensive) reasoning trace: "Could add helmet? No." and "Maybe add small bell? no." and "Need maybe add small fish in basket? Not necessary." Via John Gruber Tags: ai , generative-ai , llms , training-data , qwen , pelican-riding-a-bicycle , ai-ethics , llm-release , ai-in-china

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The Verge AI / 10:16 AM

China delivers a one-two punch to America’s AI dominance

China's leading AI companies are ramping up the pressure on Silicon Valley, as Moonshot and Alibaba unveiled models they claim can go toe-to-toe with the best from OpenAI and Anthropic at a fraction of the cost. The rapid-fire releases suggest America's lead at the AI frontier is increasingly tight, just as the technology is becoming […]

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The Decoder / 5:11 PM

Claude Code's complicated China problem involves bans on both sides of the Pacific

Anthropic is trying to block Chinese companies like ByteDance and Ant Financial from accessing Claude Code, but they're getting around the restrictions through VPNs and overseas subsidiaries. Alibaba, meanwhile, has banned its own employees from using the tool after hidden code was found that could identify Chinese users. The article Claude Code's complicated China problem involves bans on both sides of the Pacific appeared first on The Decoder .

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Latest story in this edition: 4:30 AM

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