AI-assisted analytics now 10x cheaper
Since OpenAI slashed the price of GPT 5.6 Luna by 80% this week, low latency AI-powered answers are finally feasible for less than half a penny per answer, AI and DB costs included. For data questions, GPT 5.6 Luna is intelligence too cheap to meter. Well documented context, rigorous evals, and a fast analytical engine are now the determining factors. | Reading time: 6 min read
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Story provenance
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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 | MotherDuck |
| Canonical URL | https://motherduck.com/blog/openai-just-made-analytics-10x-cheaper/ |
| Publication time | Sun, 02 Aug 2026 18:49:59 +0000 |
| Retrieval time | 2026-08-02T19:10:40.479Z |
| Last seen | 2026-08-02T19:10:40.479Z |
| 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 | None yet |
| Summary source text | contentText |
| Citation coverage | No WeSearch summary has been generated for this story yet. |
| Cluster | _ws6VqTk2L-8 · 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
2026/07/29 - Hamilton Ulmer, Till Döhmen, Jacob Matson, Garrett O'BrienContext belongs in the warehouseIntroducing Guides, MotherDuck's context layer for AI agents. More accurate queries, lower token spend, and distributed context for your entire organization.
Excerpt limited to ~120 words for fair-use compliance. The full article is at MotherDuck.