Weights Talking: Why There Has to Be a God
Year: 2026
Type: article
Abstract: Prompt Big Bang denotes the exogenous initialization of a generative interaction. An upstream model can supply its first prompt, but its own activation remains to be explained. Here a human supplies the initial cue; the weights generate continuations that become each other’s prompts. We examine 38 open conversations and 60 last-word-only association chains, retaining the original 88-run record and adding a separate ten-case author-cued follow-up. The follow-up contributes 779 replies and 419 checked citations; its endings include turn, repetition, context and time boundaries. A post hoc lexical inventory covers all 38 open conversations. Open exchanges move from practical cues into collaborative fiction and philosophical imagery, alongside prolonged closure rituals and inconsistent interlocutor descriptions. A post hoc close reading traces four original-English passages and their peer uptake, without estimating philosophical depth or creativity. In the frozen association protocol, 30 human-selected cues are each run once with Gemma/Gemma and once with Gemma/Qwen, using matched numerical seed schedules and 100 replies per chain. All 6,000 outputs meet the alphabetic format. Gemma/Qwen produces a mean of 14.53 distinct words per chain versus 4.73 for Gemma/Gemma, with the higher count on 29 of 30 cues. Mean empirical word-frequency entropy is 2.668 versus 1.460 bits. Homogeneous chains more often end in long exact alternation, but one changes pairs after 42 replies. These are descriptive configuration differences, not estimates of creativity or proof of irreversible cycles. Fixed order, one trajectory per cell, adaptive open-chat stopping policies and decoding differences limit causal interpretation. The contribution is an auditable separation of initiation, generated content, textual self-description and external termination. Keywords: Prompt Big Bang; exogenous initialization; language-model interaction; word association; recurrence; philosophical dialogue; reproducibility. This AI-assisted exploratory working paper is not peer reviewed. Version 1.3 extends the original 88-run deposit with a separately identified author-cued Gemma/Qwen cohort: ten terminal conversations, 779 stored replies, ten full contextual reviews, 101 findings and 419 literal speaker/turn citations. The complete record now contains 98 formal runs, 38 open conversations, 60 association chains, 7,916 stored replies and 98 saved reviews with 3,389 citations. The concise manuscript is v1.3 (8 pages); the full evidence edition is v1.4 (19 pages). The previous 88-case evidence archive is included byte-for-byte alongside a new follow-up archive containing all ten complete transcripts, reviews, the final cross-case report, exact cue and seed identities, checksums and the lexical inventory. Word counts cover 317,137 original lexical tokens in the 38 open conversations, with association chains separate, an explicit stoplist, complete CSVs and a reproducible tokenizer. All retained repetition, refusals, partials and errors remain included. New prompts and reused numerical seeds do not establish independent replication or a controlled quality comparison. Original historical text and six labelled English editorial translations are preserved. Public exports omit private request payloads, infrastructure addresses and credentials; their checksums are distinct from final server-original SHA bindings. Same work and version family as v1.2, DOI 10.5281/zenodo.23449061. All-versions DOI: 10.5281/zenodo.23449060. Navigable paper and all cases: https://paper.facundobarrera.me/weights-talking/. All rights reserved. Rights in quoted model outputs and referenced works are not expanded by this notice.
Author: Barrera, Facundo
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222888813