The K2 architecture? 1T total parameters.
32B active MoE.
Optimized for reasoning, not just response speed. This is what “thinking AI” looks like.
@godofprompt
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K2 architecture with 1T parameters and 32B active MoE for reasoning
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All open-source, all public: best large model, November 2025
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All open-source.
All public. This is the best open-source and open-access large model you can get as of November 2025. -
A working Obsidian clone built in one prompt, zero errors
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Here are some demos.
— God of Prompt (@godofprompt) 12 novembre 2025
Built a working Obsidian clone in one prompt.
2,000 lines of code.
Zero errors.
Even entry-level engineers can’t do that. pic.twitter.com/1hiw6dD06HHere are some demos. Built a working Obsidian clone in one prompt.
2,000 lines of code.
Zero errors. Even entry-level engineers can’t do that. -
Kimi aced Humanity’s Last Exam, now #1 thinking model
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HLE (“Humanity’s Last Exam”) is brutal thousands of expert-level questions across 100+ subjects. PhD students fail.
GPT-5 struggles.
Kimi aced it. It’s now officially the #1 thinking model in the world. -
Kimi beats Grok-4 on Humanity’s Last Exam with limited budget
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Most AI companies brag about “catching up” to GPT-5. Kimi just skipped ahead. It beat Grok-4 the $5B Elon-backed model on Humanity’s Last Exam, the hardest benchmark ever built for AI. How?
They pulled all that off with barely any budget and super limited resources. -
Open-source Kimi model outperforms GPT-5 using 1/1000 compute
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Kimi just released the best open-source thinking model last week. It topped benchmarks like HLE and BrowseComp, even beating big closed-source models like Grok-4 and GPT-5. And get this: they pulled it off using just 1/1000 of the compute those closed models use. Absolutely
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Grok-4-Fast’s 2M token context ends chunking, enables continuous reasoning.
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Most models brag about context length. Grok-4-Fast actually lets you use it. 2M tokens isn’t just a number it means entire product manuals, multi-doc reports, or codebases in one shot. That’s the end of “chunking.” We’re moving into the era of continuous reasoning.
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xAI drops Grok-4-Fast: 2M-token reasoning model, faster, cheaper
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xAI just dropped a monster: Grok-4-Fast Its a 2M-token reasoning model that’s faster than anything in its class and cheaper than lunch. $0.20 in / $0.50 out per million tokens. That’s 6× cheaper than Grok-4-0709 with the same brain. The wild part? It’s not just speed. It’s
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Google AI agent builder vibe-coded, n8n remains relevant
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Google’s AI agent builder looks like it was vibe coded. n8n is still not going anywhere.
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Steal this prompt to generate micro-niche business ideas
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Steal my prompt to generate micro-niche business ideas. ——————————
MICRO-NICHE GENERATOR
—————————— #CONTEXT:
You are an AI assistant playing the role of a micro-niche business expert. Your task is to help the user identify profitable