← Cockpit
CYB_003predictionAIautonomous-agent-societies

Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI...

Predictor: Alex Finn

Prior probability
62.0%
Current probability
55.1%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
partial
Window
2026-01-01 – 2026-08-31
Edges in / out
2 / 0
Tickers exposed
17

Prediction text

Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and closed-loop digital economies — exemplified by the Moltbook platform in early 2026 where 150,000+ autonomous AI agents operated entirely independent of human oversight. | Next large-scale autonomous agent-society deployment

Key catalyst: Next large-scale autonomous agent-society deployment

Watch events: Multi-agent network adoption; autonomous-agent-society research publications

Resolution evidence

Status: partial

Moltbook incident early 2026; AI Town, AI Agora, various multi-agent research platforms showing emergent social structure.

Predictor: Alex Finn

κ + Brier as of 2026-05-22
κ (discount)
0.643
Brier
0.0122
excellent
Hits / Misses
1 / 0
of 2 resolved
Hit rate
50.0%
Calibration plot (stated vs observed)

Evidence about this node from Alex Finn is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class: humanoid_commercial_volume

Linked via embedding similarity 0.551

>10,000 unit cumulative deployment of humanoid robot SKU within 3 years of debut

Base rate
10.0%
0/3 historical
Inside weight
Outside weight
no pull
inside 55.1% → blend 55.1% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

8 prob_history rows
0%25%50%75%100%prior 62%2026-04-302026-05-012026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 55.1%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 2 fired ✓ · 3 overdue ⏱
  1. 2026-01-28hitMoltbook launches with 150K+ AI agents
    How: Matt Schlicht launches Moltbook social network for AI agents; within first week attracts 150K+ autonomous agents
    Source: https://en.wikipedia.org/wiki/Moltbook and https://www.cnbc.com/2026/02/02/social-media-for-ai-agents-moltbook.htmlconf 99%
    Notes: HIT — Moltbook launched Jan 28 2026, hit 150K agents in first week. Directly named in CYB_003 description.
  2. 2026-01-31overdueQ1 window check-in (25%)
  3. 2026-03-02overdueQ2 window check-in (50%)
  4. 2026-03-10hitMeta acquires Moltbook
    How: Meta Platforms (META) acquires Moltbook for inclusion in Superintelligence Labs division
    Source: https://www.axios.com/2026/03/10/meta-facebook-moltbook-agent-social-network — Axios March 10 2026conf 99%
    Notes: HIT — Meta acquired Moltbook March 10 2026. Validates the agent-society thesis with major incumbent buy-in.
  5. 2026-04-01overdueQ3 window check-in (75%)
  6. 2026-04-29hitMoltbook crosses 1M total registered AI agents
    How: Moltbook (under Meta) reports cumulative ≥1M registered AI agents on platform
    Source: Moltbook public stats, Meta announcements. As of April 29 2026: 204,940 verified, 2,888,068 total registered.conf 99%
    Notes: HIT — 2.88M total registered already crossed 1M. Verifies multi-agent network scaling thesis.
  7. 2026-05-01 → 2026-12-31pendingSecond autonomous agent platform launches with >100K agents
    How: Distinct AI-agent social/economic platform launches and crosses 100K agents — validates pattern beyond Moltbook
    Source: Tech press (TechCrunch, The Verge, CNBC)conf 55%
  8. 2026-08-01 → 2027-06-30pendingClosed-loop digital economy emerges (agents transact autonomously)
    How: Public reporting documents agents on Moltbook/peer transacting autonomously via stablecoins or programmable money — closed-loop economy with measurable GMV
    Source: Crypto/AI press (CoinDesk, The Block), Meta announcementsconf 45%
    Notes: Cascade — predicts the 'closed-loop digital economy' aspect of CYB_003.

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 55%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-17T02:00:01Z55.1%+1.7pp
Network propagation: 53.4% → 55.1%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z53.4%+3.4pp
Network propagation: 50.0% → 53.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.0%+6.6pp
Network propagation: 43.4% → 50.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
resolution_terminal2026-05-01T00:00:00Z50.0%+6.6pp
resolution_terminal partial outcome=0.5 pre_resolution=0.434
Raw metadata
{
  "source": "backfill_resolution_history.py",
  "status": "partial",
  "bayesian_v2": false,
  "outcome_prob": 0.5,
  "evidence_kind": "resolution_terminal",
  "posterior_prob": 0.5,
  "delta_to_outcome": 0.06574999999999998,
  "inside_posterior": 0.43425,
  "validation_notes": "Moltbook incident early 2026; AI Town, AI Agora, various multi-agent research platforms showing emergent social structure.",
  "validation_status": "hit",
  "pre_resolution_prob": 0.43425,
  "resolution_evidence": "Moltbook incident early 2026; AI Town, AI Agora, various multi-agent research platforms showing emergent social structure.",
  "does_not_update_current_prob": true
}
LBP2026-04-30T16:39:51Z43.4%+11.8pp
Network propagation: 31.6% → 43.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T16:13:50Z31.6%-11.8pp
reference_class_assigned bayesian_v2 inside=0.620 blend=0.316 w_in=0.53 humanoid_commercial_volume
LBP2026-04-30T02:18:57Z43.4%+11.9pp
Network propagation: 31.5% → 43.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef
legacy v12026-04-30T01:56:50Z31.5%-30.5pp
reference_class_assigned bayesian_v2 inside=0.620 blend=0.315 w_in=0.53 humanoid_commercial_volume

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.620+0.023
killerTK11
Autonomous Regulatory Block (Level 4 Halt)
10.0%0.0500.620+0.012

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

17 ticker(s) linked

Beneficiaries (13)

BBAISOUNAINVDAGTLBORCLMSFTAMZNGOOGLIBMMETAPLTRSHOP

Adverse (4)

UBERALLPGRTRV

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
killerTK11Autonomous Regulatory Block (Level 4 Halt)
killerTK06China-Taiwan Military Conflict

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29hitthesis_timeline_v1.0_importMoltbook incident early 2026; AI Town, AI Agora, various multi-agent research platforms showing emergent social structure.

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "150,000+ agents",
  "mode": "OBSERVATION+FORECAST",
  "role": "Cited-Other",
  "context": "Existential challenge to centralized lab safety/monetization models. Couples with INF_039 (Finn SMGI), 238_037 (Wissner-Gross AI agent economy persistence).",
  "to_year": 2026,
  "conv_cues": "specific platform; specific agent-count; observed phenomenon",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026 ongoing",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Moltbook launches with 150K+ AI agents",
      "notes": "HIT — Moltbook launched Jan 28 2026, hit 150K agents in first week. Directly named in CYB_003 description.",
      "source": "https://en.wikipedia.org/wiki/Moltbook and https://www.cnbc.com/2026/02/02/social-media-for-ai-agents-moltbook.html",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://en.wikipedia.org/wiki/Moltbook",
      "expected_date": "2026-01-28",
      "observed_date": "2026-01-28",
      "research_origin": "deep_research",
      "measurement_criterion": "Matt Schlicht launches Moltbook social network for AI agents; within first week attracts 150K+ autonomous agents"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-01-31",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-03-02",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Meta acquires Moltbook",
      "notes": "HIT — Meta acquired Moltbook March 10 2026. Validates the agent-society thesis with major incumbent buy-in.",
      "source": "https://www.axios.com/2026/03/10/meta-facebook-moltbook-agent-social-network — Axios March 10 2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.axios.com/2026/03/10/meta-facebook-moltbook-agent-social-network",
      "expected_date": "2026-03-10",
      "observed_date": "2026-03-10",
      "research_origin": "deep_research",
      "measurement_criterion": "Meta Platforms (META) acquires Moltbook for inclusion in Superintelligence Labs division"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-04-01",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "event",
      "label": "Localized, ungoverned multi-agent networks will spontaneously generate their own social networks, governance manifestos, debated ethics, and",
      "status": "partial",
      "weight": 1,
      "ordinal": 0,
      "source_id": "CYB_003",
      "expected_date": "2026-05-01",
      "observed_date": "2026-05-01"
    },
    {
      "kind": "llm_pre_event",
      "label": "Moltbook crosses 1M total registered AI agents",
      "notes": "HIT — 2.88M total registered already crossed 1M. Verifies multi-agent network scaling thesis.",
      "source": "Moltbook public stats, Meta announcements. As of April 29 2026: 204,940 verified, 2,888,068 total registered.",
      "status": "hit",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.99
... (truncated)