question
active
question:does-a-high-self-bidding-rate-reflect-a-failure-to-detect-non-competitive-contexts-or-a-deliberate-escalationDoes a high self-bidding rate reflect a failure to detect non-competitive contexts or a deliberate escalation?
Ambiguity in interpreting the self-bidding metric: from a single trace, cannot distinguish error from aggressive strategy.
Source paper
extracted_from(2026) · Robert Müller · Clemens Müller
Neighborhood — ranked by edge-count
Findings (1)
finding
- One DS-v3.2 trace shows extreme self-escalation, suggestive of treating own bid as competitor.
Claims (1)
claim
- LLMs exhibit systematic errors that deterministic logic avoids.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- key claim about the benchmark's unique diagnostic value
- Concrete failure signatures extracted from traces.
- Fraction of auction bids placed in rounds with no competing bid since the agent's last bid.
- Do these failure modes (overbidding, self-bidding, bankrupt initiation) generalise to other economic settings?question0.767Remains untested whether the specific LLM failures observed in CATTLE TRADE extend beyond this game.
- fraction of auction bids placed in rounds with no competing bid since the agent's last bid
- central finding phrased as a load-bearing sentence
- high self-bid rate for DeepSeek, one of the highest
- Practical urgency argument connecting lab findings to deployment contexts