Without search, even the best AI models get 1 in 4 answers wrong
Randy Olson@randal_olsonQuestion 2 from @ArtificialAnlys data: how often do top AI models get specific facts wrong without search? Even the best get about 1 in 4 answers wrong. If a fact matters, have the model look it up.
- ▪Randy Olson@randal_olsonQuestion 2 from @ArtificialAnlys data: how often do top AI models get specific facts wrong without search?
- ▪Even the best get about 1 in 4 answers wrong.
- ▪If a fact matters, have the model look it up.
Hacker News (AI / LLM) files mainly under ai. We currently carry 7,404 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | X (formerly Twitter) |
| Canonical URL | https://twitter.com/randal_olson/status/2105298222562582591 |
| Publication time | Sat, 03 Oct 2026 06:49:06 +0000 |
| Retrieval time | 2026-10-03T06:53:12.536Z |
| Last seen | 2026-10-03T06:53:12.536Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | gMAb4SjYsPmI · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Randy Olson@randal_olsonQuestion 2 from @ArtificialAnlys data: how often do top AI models get specific facts wrong without search? Even the best get about 1 in 4 answers wrong. If a fact matters, have the model look it up. Made with evident-charts, my open source agent skill for explanatory charts.2:06 PM · Sep 30, 2026window.__xClientTextFormatters?.run("_R_nljl5j5cd336_", "formatFullTimestamp", {"timestamp":1790777185000,"lang":"en","nowLabel":"Now"});·3,280Views175
Excerpt limited to ~120 words for fair-use compliance. The full article is at X (formerly Twitter).
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