Distribution Fine Tuning (DFT): A post training step that fixes LLM writing
Rosmine@rosmineI fixed why LLMs write so poorly, and I have a demo to prove it Announcing Distribution Fine Tuning (DFT): A post training step that fixes LLM writing Model outputs fooled pangram on 100% of test cases4:07 PM · May 18,…
- ▪Rosmine@rosmineI fixed why LLMs write so poorly, and I have a demo to prove it Announcing Distribution Fine Tuning (DFT): A post training step that fixes LLM writing Model outputs fooled pangram on 100% of test cases4:07 PM · May 18,…
2 outlets in our directory ran this story, first to last over 1 hour. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Fixing LLM Writing with Distribution Fine Tuning — Rosmine ML Blog
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,368 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/rosmine/status/2056406211369541947 |
| Publication time | Mon, 18 May 2026 19:16:21 +0000 |
| Retrieval time | 2026-05-18T19:19:56.939Z |
| Last seen | 2026-05-18T19:19:56.939Z |
| 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 | L6nZ_2LRmrge · 2 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
Rosmine@rosmineI fixed why LLMs write so poorly, and I have a demo to prove it Announcing Distribution Fine Tuning (DFT): A post training step that fixes LLM writing Model outputs fooled pangram on 100% of test cases4:07 PM · May 18, 2026501.4KViews:host{display:inline-block;direction:ltr;white-space:nowrap;line-height:var(--number-flow-char-height, 1em) !important}span{display:inline-block}:host([data-will-change]) span{will-change:transform}.number,.digit{padding:round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) 0}.symbol{white-space:pre}124number-flow-react > span{font-kerning:none;display:inline-block;line-height:var(--number-flow-char-height, 1em) !important;padding:calc(round(nearest, calc(var(--number-flow-mask-height, 0.25em) / 2), 1px) * 2)…
Excerpt limited to ~120 words for fair-use compliance. The full article is at X (formerly Twitter).
Discussion
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