Responsible Use Policy
Our pledge for responsible access to constraints-relaxed models, including disclosure expectations and safe handling guidance.
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Our pledge for responsible access to constraints-relaxed models, including disclosure expectations and safe handling guidance.
記事を読むPlain-language terms that cover access, acceptable use, data handling commitments, and how we respond to authority requirements.
記事を読むModel card for V1 Balanced, including training recipe, safety posture, and recommended research scenarios.
記事を読むModel card for V1 Deep with evaluation stats, deployment notes, and how we keep high-capacity testing accountable.
記事を読むModel card for V1.5 Balanced (Thinking) with CoT visibility, benchmarks, and guidance on responsible reasoning disclosure.
記事を読むModel card for V1.5 Deep (Thinking) highlighting advanced planning traces, limitations, and security mitigations.
記事を読むCost-effective 675B parameter AI with NVFP4 quantization. Post-trained on Claude Opus 4.5 outputs for enterprise deployment on H100/A100 GPUs.
記事を読むMaximum capability 675B AI at full BF16 precision. KIMI K2 Thinking Trace with GRPO post-training for transparent chain-of-thought reasoning and native Skills support.
記事を読むStep-by-step explanation of our GPT-5 Pro distillation pipeline, dataset prep, and evaluation discipline.
記事を読むInside our GRPO training loop, reward shaping, and how we keep reasoning traces auditable for safety teams.
記事を読むDiscover how Shannon AI integrates with Claude Code to revolutionize penetration testing workflows and automate security research.
記事を読むCreate personalized AI assistants with custom instructions, knowledge files, and unique personalities. Build domain-specific AI agents tailored to your exact needs.
記事を読むOrganize files and conversations into dedicated AI workspaces. Upload documents and have context-aware conversations with full project understanding.
記事を読むCreate modular instruction modules that extend Shannon 1.6 Pro capabilities. Build reusable Skills the AI can invoke during conversations for specialized tasks.
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