Proof pending. This topic has not reached the minimum paper threshold yet.
Topic-specific paper and score movement from the daily diff ledger.
Large language models are increasingly used in decision-making tasks that require them to process information from a variety of sources, including both human experts and other algorithmic agents. How ...
Foundation models are trained on broad data distributions, yielding generalist capabilities that enable many downstream applications but also expand the space of potential misuse and failures. This po...
Despite their wide-ranging benefits, LLM-based agents deployed in open environments can be exploited to produce manipulative material. In this study, we task LLMs with propaganda objectives and analyz...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID ai-safety-and-ethics | Route /topic/ai-safety-and-ethics
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/ai-safety-and-ethicsMCP example
{
"tool": "search_papers",
"arguments": {
"query": "AI Safety and Ethics",
"cluster": "AI Safety and Ethics"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "AI Safety and Ethics",
"normalized_query": "ai-safety-and-ethics",
"route": "/topic/ai-safety-and-ethics",
"paper_ref": null,
"topic_slug": "ai-safety-and-ethics",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.