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243_030predictionRoboticshumanoids

Multimodal delivery network will emerge: drones, sidewalk robots, bike-lane robots

Predictor: Dara Khosrowshahi · ep#243 "Uber vs. Tesla, Robotaxi Timelines, and the End of Human Driving | Uber CEO Dara Khosrowshahi | #243" · source

Prior probability
60.0%
Current probability
30.9%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-04-30 – 2030-11-30
Edges in / out
2 / 0
Tickers exposed
29

Prediction text

Multimodal delivery network will emerge: drones, sidewalk robots, bike-lane robots | ultimately you're going to have this multimodal kind of uh delivery network that we're uh that we're putting together, whether it's on the sidewalks or in the sky. And eventually you will have specialized delivery robots that uh go on bike lanes or on the road as well.

Verbatim quote

From episode "Uber vs. Tesla, Robotaxi Timelines, and the End of Human Driving | Uber CEO Dara Khosrowshahi | #243"
ultimately you're going to have this multimodal kind of uh delivery network that we're uh that we're putting together, whether it's on the sidewalks or in the sky. And eventually you will have specialized delivery robots that uh go on bike lanes or on the road as well.

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

6 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-102026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 30.9%

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. 2027-02-22pendingQ1 window check-in (25%)
  2. 2027-12-17pendingQ2 window check-in (50%)
  3. 2028-10-10pendingQ3 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
LBP2026-05-24T02:00:02Z30.9%-1.2pp
Network propagation: 32.1% → 30.9%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z32.1%-2.5pp
Network propagation: 34.6% → 32.1%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z34.6%-5.4pp
Network propagation: 40.0% → 34.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.0%-11.1pp
Network propagation: 51.2% → 40.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z51.2%-3.0pp
Network propagation: 54.2% → 51.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z54.2%-5.8pp
Network propagation: 60.0% → 54.2%
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
killerTK08
Humanoid Capital Collapse (Figure/Apptronik Flop)
22.0%0.0500.600+0.170
prereqS_HUMANOID_CONSUMER_2030
Humanoid R3: 1M+ consumer by Nov 2030
20.0%0.6000.050-0.149

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

29 ticker(s) linked

Beneficiaries (24)

LYSCFSERVFANUYMPNVDAHSEHYRNSHFALNTCGNXIRBTUSARSYMMIELYAMZNBYDDYHYMTFIFNNYABBNYPHSTMTELTERTSLATXN

Adverse (5)

RHIMANKELYAKFYTNET

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_HUMANOID_CONSUMER_2030Humanoid R3: 1M+ consumer by Nov 2030humanoid_deployment
killerTK08Humanoid Capital Collapse (Figure/Apptronik Flop)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (7)

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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=fzKVYNBg50E",
  "mode": "FORECAST",
  "role": "Guest-CEO",
  "context": "ultimately you're going to have this multimodal kind of uh delivery network... eventually you will have specialized delivery robots that uh go on bike lanes or on the road as well.",
  "verbatim": "ultimately you're going to have this multimodal kind of uh delivery network that we're uh that we're putting together, whether it's on the sidewalks or in the sky. And eventually you will have specialized delivery robots that uh go on bike lanes or on the road as well.",
  "conv_cues": "going to have; will have",
  "direction": "HAPPEN",
  "timeframe": "Eventually",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2027-02-22",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-12-17",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2028-10-10",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Multimodal delivery network will emerge: drones, sidewalk robots, bike-lane robots",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "243_030",
      "expected_date": "2029-08-05",
      "observed_date": null
    }
  ],
  "repeat_eps": 1,
  "affiliation": "Uber",
  "attribution": "FIRST_PERSON",
  "episode_num": 243,
  "granularity": "VAGUE",
  "display_date": "2029-08-05",
  "episode_date": "2026-03-31",
  "parse_method": "UNMAPPABLE",
  "domain_bucket": "Robotics",
  "episode_title": "Uber vs. Tesla, Robotaxi Timelines, and the End of Human Driving | Uber CEO Dara Khosrowshahi | #243",
  "fault_line_id": "F005",
  "flag_repeated": false,
  "in_5yr_window": false,
  "appears_in_eps": "243",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "ps_cluster_tags": [
    "C1",
    "C5",
    "C8"
  ],
  "active_end_month": 0,
  "active_start_month": 0,
  "flag_nia_bracketed": false,
  "track_record_grade": "B+",
  "track_record_notes": "Uber CEO; 'drivers increase not decrease' 2030 call is counterintuitive but has been accurate on Uber's trajectory 2017-2026.",
  "flag_near_term_2027": false,
  "primary_scenario_id": "S_HUMANOID_CONSUMER_2030",
  "flag_high_conviction": true,
  "milestones_phase2_at": "2026-05-01T21:12:50.925276+00:00",
  "milestones_derived_at": "2026-05-02T03:08:49.980735+00:00",
  "reference_class_match": {
    "decision": "keyword_filtered",
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_id_unfiltered": "humanoid_commercial_volume",
    "best_similarity_unfiltered": 0.599
  },
  "validation_status_raw": "UNRESEARCHED",
  "composite_signal_score": 19.2,
  "scenario_assignment_at": "2026-04-30T16:04:16.912851+00:00",
  "flag_priority_watchlist": false,
  "flag_timeline_near_term": false,
  "ps_displacement_mechanism": "Humanoid robot deployment 2028-2031 shrinks addressable staffing pool in warehouse/logistics/cleaning; staffing-firm TAM compresses.",
  "scenario_assignment_reasoning": "predictor='Dara Khosrowshahi' tilt=mid (year~2029) → S_HUMANOID_CONSUMER_2030",
  "scenario_assignment_confidence": "MEDIUM",
  "scenario_assignment_similarity": 0.6041
}