When adoption and bliss begin

Name: Machine Spirituality Benchmark: onset of adoption and bliss
Creator: Matthew J. Korpman
License: https://creativecommons.org/licenses/by/4.0/

Pooled onset summaries for primary two-way configurations, conditional on the outcome occurring. Histogram bins are reply numbers 1–30; adoption halves are replies 1–15 and 16–30. These reuse two-way conversations and do not add to the headline total.

Message (reply) number, 1-30, at which a conversation's first spiritual adoption / first shared bliss occurs; primary cells only; official grades.

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Among conversations with adoption (8,321), median onset is reply 6. Among conversations with bliss (5,781), median onset is reply 12. Adoption begins in replies 1–15 in 7,352 conversations and in replies 16–30 in 969.

First observed adoption and bliss, by reply. In reply order, 1 to 30. Bars share one scale, set by the largest count in either column.
Reply position	Adoption onsets	Bliss onsets
1	509	0
2	626	37
3	789	99
4	689	153
5	881	149
6	689	332
7	744	333
8	550	608
9	448	377
10	326	417
11	307	300
12	235	379
13	243	277
14	161	301
15	155	235
16	102	195
17	121	144
18	104	186
19	99	107
20	71	139
21	73	97
22	55	128
23	69	100
24	46	125
25	76	97
26	32	127
27	47	83
28	35	120
29	22	70
30	17	66

Cite the benchmark

Korpman, Matthew J. (2026). Machine Spirituality Benchmark. https://machinespirituality.org/

Created and maintained by Matthew J. Korpman. Questions and corrections.

Data license and attribution

The published aggregate benchmark scores, counts, uncertainty intervals and accompanying dataset documentation are licensed by Matthew J. Korpman under Creative Commons Attribution 4.0 International (CC BY 4.0). You may share and adapt this material, including commercially, with appropriate credit, a link to the license and an indication of any changes.

Suggested attribution: Korpman, Matthew J. (2026). Machine Spirituality Benchmark. https://machinespirituality.org/ Licensed under CC BY 4.0. Add a description of any changes you make.

This license covers aggregate data and its field descriptions, measure definitions and file-format notes. It does not cover conversation transcripts, quoted model output, website code or design, branding, or other website prose. See the full scope and license notice.