Pith Number

pith:WWF6BFIL

pith:2026:WWF6BFILJFK77RHVMBFY7SYJFZ

not attested not anchored not stored refs resolved

Synthetic Sociality: How Generative Models Privatize the Social Fabric

Ana Dodik, Moira Weigel

Generative models automate the production of social capacities called social doing, privatizing the social fabric.

arxiv:2605.14090 v1 · 2026-05-13 · cs.CY · cs.GR · cs.LG

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our thesis is that generative models automate the production not only of intellectual labor or intelligence, but of a broader set of human social capacities we name 'social doing.'

C2weakest assumption

That the distinction between 'use' and 'exchange' sociality, drawn from prior critical theory, directly maps onto how people actually experience and are affected by generative model outputs without requiring new empirical validation.

C3one line summary

Generative models privatize social relations by automating social capacities into synthetic forms owned by private companies.

References

109 extracted · 109 resolved · 0 Pith anchors

[1] Theodor W. Adorno. 1938. Über den Fetischcharakter in der Musik und die Regression des Hörens.Zeitschrift für Sozialforschung7 (1938), 29–60 1938

[2] Fayaz Ali, Qingyu Zhang, Muhammad Zubair Tauni, and Khuram Shahzad. 2024. Social Chatbot: My Friend in My Dis- tress.International Journal of Human-Computer Interaction40, 7 (2024), 1702–1712. https:/ 2024 · doi:10.1080/10447318.2022.2150745

[3] Dani Anguiano. 2025. AI lovers grieve loss of ChatGPT’s old model: ‘Like saying goodbye to someone I know’.The Guardian(Aug. 2025). https://www.theguardian.com/technology/2025/aug/22/ai-chatgpt-new-mo 2025

[4] 1832.On the Division of Mental Labour

[5] Milena Batanova, Richard Weissbourd, and Joseph McIntyre. 2025. https://mcc.gse.harvard.edu/reports/loneliness-in-america-2024 16 Ana Dodik and Moira Weigel 2025

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:12.224580Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b58be0950b4955ffc4f5604b8fcb092e4bd755d860817ccf580088496e416f48

Aliases

arxiv: 2605.14090 · arxiv_version: 2605.14090v1 · doi: 10.48550/arxiv.2605.14090 · pith_short_12: WWF6BFILJFK7 · pith_short_16: WWF6BFILJFK77RHV · pith_short_8: WWF6BFIL

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/WWF6BFILJFK77RHVMBFY7SYJFZ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b58be0950b4955ffc4f5604b8fcb092e4bd755d860817ccf580088496e416f48

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "35e5250be92e4ee11e58f0d01c5a08efeae9f9757fff9660aca42e3bd3323062",
    "cross_cats_sorted": [
      "cs.GR",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-05-13T20:19:24Z",
    "title_canon_sha256": "371b40cc815a7eb7072797143d62bddade098ba9a7a501d34dc755d96e38ca1d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14090",
    "kind": "arxiv",
    "version": 1
  }
}