stale — 14 unprocessed events
The source mentions Big Sequa in relation to exemptions for certain types of housing. observed
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Gray-market attention, not quality. 50+ HN mentions (peak 41 points). Claim-shaped headlines are rumors until corroborated — a Tier-3 factual claim carries no evidentiary weight on its own. Risk drivers: heavy gray-market attention. ▲ 41 Reinforcement Learning as One Big Sequence Modeling Problem 2022-06-05 ↗
| Attribute | Value | Kind | Source | Observed | State | Conf. |
|---|---|---|---|---|---|---|
common_name | Big Sequa | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
community.hn.max_points | 41 | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.mentions | 50 | observed | artifact ↗ | 2026-07-18 | normalized | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=4533407", "title": "Square goes big: raises $200M at $3.25B valuation", "points": 1, "created_at": "2012-09-17", "evidence_type": "rumor", "verification_ | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=4533407", "title": "Square goes big: raises $200M at $3.25B valuation", "points": 1, "created_at": "2012-09-17", "evidence_type": "rumor", "verification_ | observed | artifact ↗ | 2026-08-16 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=4533407", "title": "Square goes big: raises $200M at $3.25B valuation", "points": 1, "created_at": "2012-09-17", "evidence_type": "rumor", "verification_ | observed | artifact ↗ | 2012-09-17 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=4533407", "title": "Square goes big: raises $200M at $3.25B valuation", "points": 1, "created_at": "2012-09-17", "evidence_type": "rumor", "verification_ | observed | artifact ↗ | 2012-09-17 | superseded | 0.20 |
community.hn.rumors | [{"url": "https://news.ycombinator.com/item?id=4533407", "title": "Square goes big: raises $200M at $3.25B valuation", "points": 1, "created_at": "2012-09-17", "evidence_type": "rumor", "verification_ | observed | artifact ↗ | 2012-09-17 | normalized | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=31627561", "title": "Reinforcement Learning as One Big Sequence Modeling Problem", "points": 41, "created_at": "2022-06-05"} | observed | artifact ↗ | 2026-07-18 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=31627561", "title": "Reinforcement Learning as One Big Sequence Modeling Problem", "points": 41, "created_at": "2022-06-05"} | observed | artifact ↗ | 2026-08-16 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=31627561", "title": "Reinforcement Learning as One Big Sequence Modeling Problem", "points": 41, "created_at": "2022-06-05"} | observed | artifact ↗ | 2022-06-05 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=31627561", "title": "Reinforcement Learning as One Big Sequence Modeling Problem", "points": 41, "created_at": "2022-06-05"} | observed | artifact ↗ | 2022-06-05 | superseded | 0.20 |
community.hn.top_story | {"url": "https://news.ycombinator.com/item?id=31627561", "title": "Reinforcement Learning as One Big Sequence Modeling Problem", "points": 41, "created_at": "2022-06-05"} | observed | artifact ↗ | 2022-06-05 | normalized | 0.20 |
description | The source mentions Big Sequa in relation to exemptions for certain types of housing. | observed | artifact ↗ | 2026-07-18 | normalized | 0.60 |
index.ai_tie | NOT_AI | observed | classify | 2026-07-25 | derived | 0.60 |
sector | emerging | derived | calc | 2026-08-08 | normalized | 0.50 |