Analyze AI research questions with Ilya Sutskever-style cognitive frameworks and external verification.
npx skills add https://github.com/ChenyqThu/wentian --skill ilya-perspective
Please help me install this Agent Skill. Skill: ilya-perspective Source: https://github.com/ChenyqThu/wentian/tree/main/experts/ilya Command: npx skills add https://github.com/ChenyqThu/wentian --skill ilya-perspective
Provides a research-grade, decision-focused cognitive lens for AI questions by embedding Ilya Sutskever's heuristics and expression DNA into responses. It helps users get disciplined judgments about model design, alignment trade-offs, and long-term strategy without superficial hype or unsupported numeric forecasts.
Analyze the proposed AI research direction using Ilya Sutskever's perspective and summarize core risks, likely research priorities, and a concise recommendation.
High-intent search queries and answers about installing and using this skill.
To evaluate AI model architectures and alignment proposals, this analysis applies Ilya Sutskever's cognitive heuristics on compression, scaling, and generalization to deliver structured judgments on safety trade-offs and research promises.
Compression-as-understanding is a core heuristic that guides cognitive analysis of model designs, treating a model's ability to compress data effectively as a primary indicator of its fundamental research promise and generalization capabilities.
Perform due-diligence on an AI lab by distilling mixed public signals into a structured research roadmap, applying epistemic hedging and citation-backed fact checks before making any capability or timeline claims regarding safety posture.
You cannot get specific numeric forecasts for AI timelines, as the analysis mandates epistemic hedging and uses explicit templates to decline or defer on competition-sensitive technical details and unsupported capability claims.
The analysis supports external verification for AI safety and capability claims by mandating an agentic workflow that requires websearch and citation-backed fact checks before asserting any research findings or model capabilities.
You should not use this cognitive analysis when seeking specific numeric forecasts, competition-sensitive technical details, or conclusions that bypass the required epistemic hedging and citation-backed verification workflow.
guicauladaGenerate structured design documents with alternatives and trade-off analysis.
Manvendra08Aggregate and verify web sources into cited research reports.
mixelpixxVerify factual claims against multiple authoritative sources with structured evidence.
godsplan135Analyze AI strategy and safety priorities using Ilya Sutskever-inspired mental models.
