OpenStocks, a public earnings forecasting benchmark for AI agents
Hacker News recorded 1 points and 0 comments as of Oct 12, 2026 (UTC).
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points · 1 votes
2026-10-12 21:15:04.559Z
cumulative since publication
Research analysis
Research claim
The record contains the title “OpenStocks, a public earnings forecasting benchmark for AI agents” but no substantive source summary.
Evaluation record
Source votes: 1 votes (Oct 12, 2026 UTC; cumulative since publication); previous same-scope observation: 1 (Oct 12, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “Paper: Nubank cuts AI agent update cycles from 3 weeks to under 5 days” (Hacker News, Nov 6, 2026); “Cognitive Bias Signatures in Search-Equipped LLM Agents: A Stage-Resolved Analysis” (arXiv, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
What the result supports
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Verification plan
Read the paper or model card and its evaluation appendix. Reproduce one bounded result against the stated baseline, then test a representative user task and record where the conclusion fails.