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If you thought Kimi K3 was China’s biggest Claude rival, Alibaba just changed the race. Qwen3.8-Max packs 2.4T parameters and reportedly sits behind only Fable 5.
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AI INSIGHTS
🤖 Alibaba Releases Qwen3.8-Max with Open Weights Coming Soon!
Alibaba officially released Qwen3.8-Max after introducing Qwen3.8-Max-Preview on July 19. Alibaba describes it as its most capable Qwen model so far, focused mainly on coding, agents, and long multi-step work. Main specifications:
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2.4 trillion total parameters
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1 million-token context window
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Supports very long reasoning and agent sessions
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Available through Alibaba Cloud Model Studio, Qwen Code, Qoder, and QoderWork
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Supports OpenAI-compatible, Anthropic-compatible, and DashScope APIs
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Model IDs include
qwen3.8-maxand the earlierqwen3.8-max-preview
Qwen3.8-Max is available through Alibaba Cloud Model Studio and its Token Plans. Alibaba’s international Token Plan starts at a promotional $6 per month, while the Pro plan is listed at $68 per month during its promotion.
Alibaba claims it ranks behind only Claude Fable 5. Qwen3.8-Max uses persistent reasoning by default. Alibaba’s API documentation says the model supports configurable reasoning effort, with xhigh as the default setting.
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AI FIRE: 20 FREE PRIVATE AI REVIEW SLOTS
💪 We’re Officially Opening 20 FREE Private AI Workflow Reviews
AI Fire is opening just 20 free AI Workflow Review slots for this first research round.
We’re starting with AI Fire Academy Lifetime and Annual members because you already know our courses, guides, and practical workflows. Now we want to understand where learning still hasn’t turned into a reliable process inside your work or business. You can apply when you have one recurring task that:
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takes too much time,
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still relies on repeated manual steps,
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creates delays or inconsistent results,
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Selected members will join a free 30–45 minute FREE AI Workflow Review. We’ll examine the current process, identify the main bottleneck, and assess whether AI could improve it in a practical way.
Submitting the form doesn’t guarantee a call, and there’s no requirement to purchase anything. We’ll review every application before meeting.
Not an AI Fire Academy member yet? This first research round is reserved for Lifetime and Annual members. Other will be able to join a future round.
You can upgrade to AI Fire Academy now to access the full training library and become eligible for this member-first application round.
TODAY IN AI
AI HIGHLIGHTS
😩 If you’re sooo tired of rewriting robotic AI content, just add this short prompt before each chat or save it permanently. Your outputs will sound much more natural.
⚡ Grok Imagine got upgraded with Voice Consistency, Multi-References, Text-to-Video & native 1080p support! Try it on web, the Grok apps, and the Imagine API.
🖥️ Google is testing dedicated image and video tabs, camera capture, and custom MCP server support in Gemini’s desktop app. Nobody knows when they’ll launch.
🛡️ UK & U.S. safety institutes tested Kimi K3 versus top frontier US models. It can now complete meaningful parts of a cyberattack, but it still trails top models badly.
😅 If parenting already feels chaotic, Sam Altman thinks ChatGPT should make the morning podcast. But one brutal reply just…: “What if you just talked to your children?”
⚖️ Minnesota’s first-in-the-U.S. ban on “nudify” apps is now active after a judge denied xAI’s emergency request. But the company argued the law is too broad.
😳 U.S. lawmakers introduced the AI Kill Switch Act. It could let DHS restrict or completely shut down dangerous systems, but only after a truly catastrophic AI failure.
💰 AI Fund Collapse: Leopold Aschenbrenner’s AI hedge fund crashed from $45B to $10B in days. With leverage reportedly reaching 400%, falling chip stocks triggered margin calls and forced a discounted selloff.
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AI BREAKTHROUGH
🧮 Chinese RedNote AI Scores Perfect 42/42 on Math Olympiad!
RedNote’s beta dots-note-3.0 scored a perfect 42/42 on the IMO 2026 problems, matching only seven of 666 human contestants. The gold-medal cutoff was 29 points. Main details:
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Solved all six problems with complete written proofs.
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Read the original contest documents without human hints or rewritten questions.
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Combined natural-language reasoning with Python execution.
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Tested cases, challenged assumptions, and revised weak arguments through repeated self-review.
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Reportedly produced an elegant induction proof for Problem 3 instead of the more common graph-based approach.
The model remains in beta, and RedNote has not disclosed its size, training data, or compute budget. Huawei also reported a 42/42 result during the same evaluation period, so RedNote is safest described as one of the first AI systems to achieve a perfect IMO score.
Key takeaway: AI math systems have moved from producing correct answers to writing full competition-level proofs that can survive human grading.
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