People who know the most often sound the least certain
The people who know the most often sound the least certainAI needs better storytellers. It does not need its researchers trained to sound like politicians. VrashSep 19, 2026ShareI watched Dwarkesh Patel’s recent conversation with John Schulman, Beren Millidge and Charlie O’Neill this week.
- ▪The people who know the most often sound the least certainAI needs better storytellers.
- ▪It does not need its researchers trained to sound like politicians.
- ▪VrashSep 19, 2026ShareI watched Dwarkesh Patel’s recent conversation with John Schulman, Beren Millidge and Charlie O’Neill this week.
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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 | Hacker News (Front Page) |
| Canonical URL | https://vrash.substack.com/p/the-people-who-know-the-most-often |
| Publication time | Sat, 19 Sep 2026 17:42:43 +0000 |
| Retrieval time | 2026-09-19T18:08:46.087Z |
| Last seen | 2026-09-19T18:08:46.087Z |
| 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 | nN6ZXpooxB7N · 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
The people who know the most often sound the least certainAI needs better storytellers. It does not need its researchers trained to sound like politicians. VrashSep 19, 2026ShareI watched Dwarkesh Patel’s recent conversation with John Schulman, Beren Millidge and Charlie O’Neill this week. For an hour and a half, some of the smartest people working in AI tried to reason, in public, about genuinely difficult questions.Can AI automate AI research? Can it choose its own research objectives? Does progress hit a wall when the thing we need cannot be turned into a clean reward? What happens when models become better at running experiments but humans are still needed to decide which experiments matter?These are not small questions.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News (Front Page).
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