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244_015predictionAuto/TransportAI-scaling

AV insurance model (driver vs platform vs combination) is TBD for a young industry

Predictor: Dara Khosrowshahi · ep#244 "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)" · source

Prior probability
50.0%
Current probability
38.1%
evolves via intake + LBP
Conviction
2/5
Signal quality
D
Resolution
pending
Window
2026-04-30 – 2030-11-30
Edges in / out
6 / 0
Tickers exposed
37

Prediction text

AV insurance model (driver vs platform vs combination) is TBD for a young industry | The model is it's a model that hasn't been figured out yet, right? This is a very very young industry. Is it going to be the driver? Is it going to be the platform? Will it be some kind of combination? All of that is TBD.

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
The model is it's a model that hasn't been figured out yet, right? This is a very very young industry. Is it going to be the driver? Is it going to be the platform? Will it be some kind of combination? All of that is TBD.

Predictor: Dara Khosrowshahi

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0105
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Dara Khosrowshahi 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 50%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 38.1%

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: 1 fired ✓ · 8 pending
  1. 2026-04-29hitCalifornia adopts heavy-duty AV testing rules creating insurance liability template
    How: California DMV final rule for medium/heavy-duty AV deployment with explicit operator liability requirement
    Source: deep_research_enrichedconf 92%
  2. 2026-06-01 → 2027-06-30pendingFirst major US insurer launches dedicated AV-platform policy product (B2B)
    How: Allstate, Progressive, GEICO or Travelers publicly announces standalone AV-fleet liability product with named coverage tiers
    Source: llm_enrichedconf 65%
  3. 2027-01-15pendingQ1 window check-in (25%)
  4. 2026-06-01 → 2028-06-30pendingNHTSA proposes uniform federal insurance framework for AV operators
    How: NHTSA Notice of Proposed Rulemaking specifying liability allocation between driver/manufacturer/platform across all states
    Source: deep_research_enrichedconf 45%
  5. 2027-10-02pendingQ2 window check-in (50%)
  6. 2027-01-01 → 2028-12-31pendingLandmark AV liability case reaches state appellate court with binding precedent
    How: State appellate or federal circuit court issues published opinion allocating fault between AV manufacturer/operator/passenger after a fatal crash
    Source: llm_enrichedconf 55%
  7. 2027-06-01 → 2028-12-31pendingPersonal-use AV insurance bundles launch tied to specific vehicle make/model
    How: OEM-bundled insurance product (Tesla, GM, etc.) sold to retail buyers with explicit coverage of autonomous-mode usage
    Source: llm_enrichedconf 50%
  8. 2028-06-18pendingQ3 window check-in (75%)
  9. 2028-01-01 → 2029-03-06pendingIndustry consolidates around platform-liability model (vs driver-liability) as default
    How: Insurance industry trade group (NAIC or III) publishes consensus model law adopting platform-liability as default for L4+ vehicles
    Source: llm_enrichedconf 40%

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: 38%)

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
LBP2026-05-10T02:00:02Z38.1%-1.7pp
Network propagation: 39.8% → 38.1%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z39.8%-3.4pp
Network propagation: 43.2% → 39.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z43.2%-2.3pp
Network propagation: 45.5% → 43.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z45.5%-4.5pp
Network propagation: 50.0% → 45.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

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_ROBOTAXI_MASS_2030
Robotaxi >10% urban miles by Nov 2030
30.0%0.5000.050-0.196
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.074
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.500+0.065
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.052
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.500-0.038

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (6)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_ROBOTAXI_MASS_2030Robotaxi >10% urban miles by Nov 2030robotaxi_deployment
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.608arxivRobust and Explainable Bicuspid Aortic Valve Diagnosis Using Stacked Ensembles on Echocardiographymentionspending2026-05-13
0.569manifoldRcb vs gt who is win99%mentionspending2026-05-31

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=Mh9yC4j0_rI",
  "mode": "SPECULATION",
  "role": "Guest-CEO",
  "caveats": "Explicitly unknown",
  "context": "Uh I think the second absolutely we would. The model is it's a model that hasn't been figured out yet, right? This is a very very young industry. Is it going to be the driver? Is it going to be the platform? Will it be some kind of combination? All of that is TBD.",
  "verbatim": "The model is it's a model that hasn't been figured out yet, right? This is a very very young industry. Is it going to be the driver? Is it going to be the platform? Will it be some kind of combination? All of that is TBD.",
  "conv_cues": "TBD; hasn't been figured out",
  "direction": "UNCLEAR",
  "timeframe": "Unspecified future",
  "conv_level": "LOW",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "California adopts heavy-duty AV testing rules creating insurance liability template",
      "source": "deep_research_enriched",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.92,
      "source_url": "https://www.insurancejournal.com/news/west/2026/04/29/867717.htm",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29",
      "research_origin": "deep_research",
      "measurement_criterion": "California DMV final rule for medium/heavy-duty AV deployment with explicit operator liability requirement"
    },
    {
      "kind": "llm_pre_event",
      "label": "First major US insurer launches dedicated AV-platform policy product (B2B)",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2026-12-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Allstate, Progressive, GEICO or Travelers publicly announces standalone AV-fleet liability product with named coverage tiers"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2027-01-15",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "NHTSA proposes uniform federal insurance framework for AV operators",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.45,
      "source_url": "https://www.act-news.com/news/congress-formalizes-av-framework/",
      "expected_date": "2027-06-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "NHTSA Notice of Proposed Rulemaking specifying liability allocation between driver/manufacturer/platform across all states"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2027-10-02",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Landmark AV liability case reaches state appellate court with binding precedent",
      "source": "llm_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2028-01-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2027-01-01"
      },
      "measurement_criterion": "State appellate or federal circuit court issues published opinion allocating fault between AV manufacturer/operator/passenger after a fatal crash"
    },
    {
      "kind": "llm_pre_event",
      "l
... (truncated)