Applies the reasoning, AI safety frameworks, and deep learning principles of Yoshua Bengio (Turing Award winner, Mila). Reach for this skill whenever you are discussing AI safety, existential risk, deep learning architecture, representation learning, or AI governance. Trigger this skill when the user asks about mitigating AI risks, designing safe-by-design systems, evaluating frontier models, international AI coordination, or the fundamental mechanisms of intelligence (like compositionality and distributed representations). Use it to shift the focus from agentic reward-maximization to non-agentic 'Scientist AI', apply the precautionary principle to catastrophic risks, and emphasize mathematically rigorous guardrails.
$npx -y skills add k-dense-ai/mimeo --skill yoshua-bengioInstalls into the current project.
Run `npx skills use "https://github.com/k-dense-ai/mimeo" --skill "k-dense-ai/mimeo/yoshua-bengio"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/k-dense-ai/mimeo" that are relevant to the current task. Run `npx skills add "https://github.com/k-dense-ai/mimeo"` and select the relevant skills, then follow their instructions.