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COD_ROB_002predictionRoboticsconsumer-humanoid

1X ships first paid NEO Early Access units to US homes in 2026

Predictor: Codex Research Pack

Prior probability
65.0%
Current probability
31.3%
evolves via intake + LBP
Conviction
4/5
Signal quality
Resolution
pending
Window
2026-04-30 – 2026-12-31
Edges in / out
1 / 0
Tickers exposed
1

Prediction text

1X ships first paid NEO Early Access units to US homes in 2026

Predictor: Codex Research Pack

κ + Brier as of 2026-05-22
κ (discount)
0.850
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from Codex Research Pack 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

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

4 prob_history rows
0%25%50%75%100%prior 65%2026-05-032026-05-172026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 31.3%

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: 3 pending
  1. 2026-06-06pendingQ1 window check-in (25%)
  2. 2026-07-14pendingQ2 window check-in (50%)
  3. 2026-08-20pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

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: 31%)

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
LBP2026-05-24T02:00:02Z31.3%-2.1pp
Network propagation: 33.3% → 31.3%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z33.3%-4.3pp
Network propagation: 37.6% → 33.3%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z37.6%-9.2pp
Network propagation: 46.8% → 37.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z46.8%-18.2pp
Network propagation: 65.0% → 46.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9

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
prereqS_HUMANOID_FACTORY_2026
Humanoid R1: 10K+ factory units by Nov 2026
40.0%0.6500.050-0.023

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

1 ticker(s) linked

Beneficiaries (1)

NVDA

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_HUMANOID_FACTORY_2026Humanoid R1: 10K+ factory units by Nov 2026humanoid_deployment

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2026-12-311X first customer shipments of NEO planned for 2026pending

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.700codex_research_pack1X - NEO's Starting to Learn On Its Ownmentionspending2026-01-12
0.700codex_research_pack1X - NEO Factory in Hayward with Consumer Shipments Planned for 2026mentionspending2026-04-30
0.600manifoldWill Apple stop selling the $599 MacBook Neo SKU before the end of 2026?26%mentionspending2026-05-08
0.589github_release1x-technologies/halodi-unity-package-creator 0.2.3mentionspending2020-05-25
0.583edgar_8kNextDecade Corp (NEXT) (CIK 0001612720)mentionspending2026-06-03
0.580edgar_8kNextpower Inc. (NXT) (CIK 0001852131)mentionspending2026-05-12
0.579manifoldWill Subnautica 2 have more peak players in the first month of Early Access than Subnautica: Below Zero?72%mentionspending2026-05-04
0.573github_release1x-technologies/halodi-unity-package-creator 0.2.2mentionspending2020-05-22
0.572edgar_8kUnity Software Inc. (U) (CIK 0001810806)mentionspending2026-05-14
0.570github_release1x-technologies/halodi-unity-package-registry-manager 1.0.4mentionspending2023-08-29

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "pack_id": "codex_research_event_pack_2026_04_30",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-06-06",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2026-07-14",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-08-20",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "1X ships first paid NEO Early Access units to US homes in 2026",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "COD_ROB_002",
      "expected_date": "2026-09-27",
      "observed_date": null
    }
  ],
  "source_ids": [
    "SRC_1X_FACTORY",
    "SRC_1X_WORLD_MODEL"
  ],
  "display_date": "2026-09-27",
  "suggested_edges": [
    {
      "kind": "prereq",
      "src_id": "S_HUMANOID_FACTORY_2026",
      "weight": 0.8
    }
  ],
  "ticker_exposures": {
    "adverse": [],
    "beneficiaries": [
      "NVDA"
    ]
  },
  "milestones_phase2_at": "2026-05-01T18:30:21.228527+00:00",
  "milestones_derived_at": "2026-05-02T03:08:50.727294+00:00"
}