Alibaba Qwen

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

Alibaba Qwen AI

✅Implicit caching is now live on Qwen3.7-Max — kicks in automatically, no setup needed. ⚡️Faster + cheaper out of the box. Need higher, more deterministic hit rates? Try explicit caching instead. 🙌

✅Implicit caching is now live on Qwen3.7-Max — kicks in automatically, no setup needed. ⚡️Faster + cheaper out of the box. Need higher, more deterministic hit rates? Try explicit caching instead. 🙌 🔗Best practices 🔗 ：https://t.co/3hSs6zquBH

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🚀Qwen3.7-Max just landed at 56.6 on the Artificial Analysis Intelligence Index — a solid 4.8pt jump over Qwen3.6-Max-Preview. @ArtificialAnlys ⚡️Sharper sci reasoning, stronger agentic chops, bette

🚀Qwen3.7-Max just landed at 56.6 on the Artificial Analysis Intelligence Index — a solid 4.8pt jump over Qwen3.6-Max-Preview. @ArtificialAnlys ⚡️Sharper sci reasoning, stronger agentic chops, better coding, and it hallucinates less.

Cowork Productivity Assistant：Qwen3.7-Max serves as your advanced coworker for real-world productivity. https://t.co/zFOjvNJAhT

Cowork Productivity Assistant：Qwen3.7-Max serves as your advanced coworker for real-world productivity. https://t.co/zFOjvNJAhT

Self-Evolving in the Wild：Over the course of ~35 hours of continuous autonomous execution, the model performed 432 kernel evaluations across 1,158 tool calls. It wrote, compiled, profiled, and iterati

Self-Evolving in the Wild：Over the course of ~35 hours of continuous autonomous execution, the model performed 432 kernel evaluations across 1,158 tool calls. It wrote, compiled, profiled, and iteratively improved the Extend Attention Kernel entirely on its own — 10.0x geometric https://t.co/zn4mqAnPPc

Cross-Harness Generalization：Across QwenClawBench and CoWorkBench, Qwen3.7-Max delivers strong, consistent performance regardless of the harness used at evaluation time, confirming that the model has

Cross-Harness Generalization：Across QwenClawBench and CoWorkBench, Qwen3.7-Max delivers strong, consistent performance regardless of the harness used at evaluation time, confirming that the model has learned to solve tasks — not to exploit particular harnesses. https://t.co/aSZaOLTEbU

Agent Scaling：Building on Qwen3.5's environment scaling approach, we've aggressively expanded the quality and diversity of agentic training environments in Qwen3.7 — agentic capabilities generalize fr

Agent Scaling：Building on Qwen3.5's environment scaling approach, we've aggressively expanded the quality and diversity of agentic training environments in Qwen3.7 — agentic capabilities generalize from diverse environments, just as language models do from diverse text. The https://t.co/s2ZbpIERZf

Performance：Qwen3.7-Max performs strongly across benchmarks in coding agents , and improves massively in general-purpose agents. Qwen3.7-Max also demonstrates exceptional strength on the hardest reaso

Performance：Qwen3.7-Max performs strongly across benchmarks in coding agents , and improves massively in general-purpose agents. Qwen3.7-Max also demonstrates exceptional strength on the hardest reasoning benchmarks, and stands out in general capabilities and multilingualism. https://t.co/dwtyxs05f1

📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era. A versatile foundation for agents that actually get things done: 🧑‍💻 Coding agent, end to end. Frontend prototypes, multi-file refa

📣Meet Qwen3.7-Max — our latest flagship, made for the Agent Era. A versatile foundation for agents that actually get things done: 🧑‍💻 Coding agent, end to end. Frontend prototypes, multi-file refactors, real debugging — nails it. 🗂️ A reliable office and productivity assistant. https://t.co/IsgHAoWKV5

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🚀🚀Qwen3.7 Preview lands on Arena ！ Here come Qwen3.7-Max-Preview & Qwen3.7-Plus-Preview. Alibaba now #6 lab in Text, #5 in Vision.⚡️⚡️ Can't wait to release Qwen3.7 series models！Stay tuned!

🚀🚀Qwen3.7 Preview lands on Arena ！ Here come Qwen3.7-Max-Preview & Qwen3.7-Plus-Preview. Alibaba now #6 lab in Text, #5 in Vision.⚡️⚡️ Can't wait to release Qwen3.7 series models！Stay tuned! @arena

🚀Qwen3.6-Plus is on Nous Portal now and FREE for a limited time. Hermes Agent, here we go!! ⚡️ @NousResearch

🚀Qwen3.6-Plus is on Nous Portal now and FREE for a limited time. Hermes Agent, here we go!! ⚡️ @NousResearch

📣We're calling for ambassadors! Whether you're a developer with great technical taste or a local community leader who loves bringing people together, we'd love to have you join us. Visit the websit

📣We're calling for ambassadors! Whether you're a developer with great technical taste or a local community leader who loves bringing people together, we'd love to have you join us. Visit the website below for more details and to apply. In return, ambassadors will receive early https://t.co/BvowB4fUii

Compiled every national AI strategy in Asia — Vietnam has the most comprehensive standalone law, Japan has no penalties, Korea just eliminated Naver from sovereign LLM competition for using Qwen weights

Compiled a tracker of every national AI strategy in Asia. Headline is that ten major Asian economies now have dedicated AI legislation or comprehensive national strategies, and they're all quite distinct from Western legislation like the EU AI Act or US executive orders. Clear that Asian governments treat AI as infrastructure, not a sector to regulate from a distance. Most national approaches lean *promotional* (incentives, sandboxes, sovereign LLM funding) rather than punitive (bans, heavy compliance). The exceptions are Vietnam (first standalone AI law in Asia, Dec 2025) and South Korea (Framework AI Act with high-risk-system rules). **The major markets that stood out to me:** 1. **China's open-source-as-industrial-policy framework.** ~$98B committed to AI development. Premier Li Qiang declared at WEF 2025 that China's innovation is "open and open-source" and the country is "willing to share indigenous technologies with the world." Derivatives of Alibaba's Qwen are now the largest open-weight model ecosystem on Hugging Face — over 100,000 derivatives (USCC 2026). This is industrial policy through model release, not regulation. Two-tier system: research labs (DeepSeek-style) operate with light governance, consumer-facing apps face stricter rules. 2. **Japan's AI Promotion Act (May 2025).** No penalties. It's a *promotional* framework — establishes the AI Strategic Headquarters as a cabinet-level body, mandates a National AI Basic Plan, aligns deployment with "Human-Centred AI Society Principles." Japan's structural problem: only 9% of individuals and 47% of companies were using gen AI as of 2024. The legislation is trying to close adoption gaps via incentives rather than gate behaviour. December 2025 commitment of ¥1 trillion (~$7B) over five years to AI + semiconductors backs it up. 3. **Vietnam's AI Law (effective March 2026).** Most comprehensive standalone AI law anywhere — 36 articles, three-tier risk classification (low/medium/high), foreign AI providers must appoint a legal representative in Vietnam, max admin fines reach VNĐ 2 billion (~$76K) for orgs with serious violations capped at 2% of preceding year revenue. Plus a National AI Development Fund offering grants/loans/preferential financing, plus regulatory sandboxes for startups. Combined with the Law on Digital Technology Industry covering semiconductors and digital assets, Vietnam now has the most legible AI legal architecture in SEA. What I'm not sure about: how sustainable the "promotional, not punitive" approach is when the next major AI safety incident happens. Japan's framework explicitly has no penalties, and I think that only holds up until something goes wrong. Vietnam's law has teeth but limited enforcement bandwidth. Korea's is the only framework that has *both* tools and resources to enforce. For people closer to AI policy work — does the Asia approach seem more or less likely to scale globally than EU-style ex-ante rule-making? My read: Asia's bet on incentives + sandboxes + sovereign capability is more aligned with how AI is actually deploying in 2026 than EU rules-based approaches, but the governance gap shows up in the next 24 months. Fuller tracker with country-by-country breakdown: https://digitalinasia.com/2026/04/08/asia-ai-policy-tracker/