Cross-entropy comparison of LLM responses reveals Kimi's similarity to Claude
You're relatively right!Which LLM models write alike? 0) + 1); } return { map, n: Math.max(1, text.length - k + 1) }; } function countList(items: string[]): Counts { const map = new Map<string, number>(); for (const it of items) map.set(it, (map.get(it) ?? 0) + 1); return { map, n: Math.max(1, items.length) }; } function pool(all: Counts[]): Counts { const map = new Map<string, number>(); let n = 0; for (const c of all) { for (const [g, v] of c.map) map.set(g, (map.get(g) ??
- ▪You're relatively right!Which LLM models write alike?
- ▪0) + 1); } return { map, n: Math.max(1, text.length - k + 1) }; } function countList(items: string[]): Counts { const map = new Map<string, number>(); for (const it of items) map.set(it, (map.get(it) ??
- ▪0) + 1); return { map, n: Math.max(1, items.length) }; } function pool(all: Counts[]): Counts { const map = new Map<string, number>(); let n = 0; for (const c of all) { for (const [g, v] of c.map) map.set(g, (map.get(g) ??
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,280 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 | Typebulb |
| Canonical URL | https://typebulb.com/u/lab/you-re-relatively-right/full |
| Publication time | Thu, 23 Jul 2026 15:05:44 +0000 |
| Retrieval time | 2026-07-23T15:15:57.418Z |
| Last seen | 2026-07-23T15:15:57.418Z |
| 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 | s2CWpZ4nJIQA |
| 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
You're relatively right!Which LLM models write alike? A heat map built from their words alone.--- format: typebulb/v1 name: "You're relatively right!" --- **code.tsx** ```tsx import React, { useEffect, useMemo, useState } from "react"; import { createRoot } from "react-dom/client"; import { encode } from "gpt-tokenizer/encoding/cl100k_base"; // ── Types ──────────────────────────────────────────────────────── type RawResult = { testId: string; testName: string; subject: string; score: number; response: string; response2?: string; reasoning: string; error?: string; }; type RawData = { timestamp?: string; judge?: string; results: RawResult[] }; type MetaRow = { match: string; lab: string; released: string | null }; type Counts = { map: Map<string, number>; n: number }; type Bg = { words:…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Typebulb.
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