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244_033predictionMarkets/StocksAI-timing

Uber will take big bets on adjacent fields, some will fail

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

Prior probability
60.0%
Current probability
50.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Uber will take big bets on adjacent fields, some will fail | So, we should be taking big bets. Yep. And while I'm not rooting for these bets to fail, some of them are going to fail.

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
So, we should be taking big bets. Yep. And while I'm not rooting for these bets to fail, some of them are going to fail.

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 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 50.8%

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: 7 fired ✓
  1. 2025-11-28hitUber discloses AI-related contractor gig program (training/data labeling)
    How: Uber publicly launches contractor program for AI training tasks, demonstrating expansion into adjacent fields beyond ride-hail/delivery
    Source: https://www.hrgrapevine.com/us/content/article/2025-11-28-uber-ceo-announces-trial-of-ai-training-jobs-for-us-driversconf 99%
    Notes: HIT — Uber's AI Solutions initiative (October 2025) is exactly the kind of 'big bet in adjacent field' Khosrowshahi referenced.
  2. 2026-04-30hitUber AI budget exhausted on adjacent-field bets in 2025
    How: Public reporting confirms Uber burned through allocated AI/adjacent-field budget in 2025, indicating aggressive risk-taking with high failure rate
    Source: https://aimagazine.com/news/why-uber-has-already-burned-through-its-ai-budgetconf 85%
    Notes: HIT — confirms 'big bets, some fail' framing.
  3. 2026-01-01 → 2026-12-31pendingUber announces or scales robotaxi partnership in 2026
    How: Uber announces new robotaxi partnership (Waymo, Wayve, others) in additional cities or fleet expansion, signaling continued adjacent investment
    Source: https://fortune.com/2026/02/23/uber-ceo-dara-khosrowshahi-robotaxis-autonomous-vehicles-diary-of-a-ceo-podcast/conf 90%
  4. 2026-04-01 → 2027-04-30pendingUber R&D spend grows >20% YoY
    How: Uber 2026 10-K shows R&D spend up >=20% YoY, financially evidencing 'big bets' commitment
    Source: Uber 10-K SEC filingconf 50%
  5. 2026-06-01 → 2027-06-30pendingUber publicly discontinues at least one adjacent-field initiative
    How: Uber discontinues, sells, or shuts down at least one adjacent-field venture (Uber Freight, drone delivery, AI training service, etc.), validating 'some will fail' framing
    Source: Uber 10-K, earnings call transcriptsconf 55%
  6. 2036-09-06pendingMoon base will exist in 10 years

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: 51%)

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
LBP2026-05-10T02:00:02Z50.8%-1.2pp
Network propagation: 51.9% → 50.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.9%-1.8pp
Network propagation: 53.7% → 51.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.7%-2.5pp
Network propagation: 56.2% → 53.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.2%-3.8pp
Network propagation: 60.0% → 56.2%
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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.057
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.6000.050-0.055
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.049
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.039
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.037

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050+0.013
prereq239_008
Moon base will exist in 10 yearsElon Musk
28.8%0.5500.050+0.012
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.008
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.008
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.006

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI
prereq239_008Moon base will exist in 10 yearsSpace

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.633manifoldTesla Q1 26 Earnings Claims Prop Betsmentionspending2026-04-24
0.625manifoldWill I bet on this market?32%mentionspending2026-05-30
0.612manifoldDo you like 4% odds?4%mentionspending2026-04-27
0.606manifoldDo you like 2% odds?2%mentionspending2026-05-18
0.589manifoldManifest 2026 Prop Betsmentionspending2026-05-13
0.584manifoldScientology Run Prop Bets [ADD ANSWERS]mentionspending2026-04-28
0.584manifoldCorrespondents Association dinner incident prop betsmentionspending2026-04-26
0.584manifoldScientology Run Prop Bets [ADD ANSWERS]mentionspending2026-04-30
0.582manifoldDo you like 96% odds?96%mentionspending2026-05-04
0.579manifoldDo you like 54% odds?54%mentionspending2026-05-11

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=Mh9yC4j0_rI",
  "mode": "PREDICTION",
  "role": "Guest-CEO",
  "context": "So, we should be taking big bets. Yep. And while I'm not rooting for these bets to fail, some of them are going to fail.",
  "to_year": 2026,
  "verbatim": "So, we should be taking big bets. Yep. And while I'm not rooting for these bets to fail, some of them are going to fail.",
  "conv_cues": "going to fail",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Going forward",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Uber discloses AI-related contractor gig program (training/data labeling)",
      "notes": "HIT — Uber's AI Solutions initiative (October 2025) is exactly the kind of 'big bet in adjacent field' Khosrowshahi referenced.",
      "source": "https://www.hrgrapevine.com/us/content/article/2025-11-28-uber-ceo-announces-trial-of-ai-training-jobs-for-us-drivers",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.hrgrapevine.com/us/content/article/2025-11-28-uber-ceo-announces-trial-of-ai-training-jobs-for-us-drivers",
      "expected_date": "2025-11-28",
      "observed_date": "2025-11-28",
      "research_origin": "deep_research",
      "measurement_criterion": "Uber publicly launches contractor program for AI training tasks, demonstrating expansion into adjacent fields beyond ride-hail/delivery"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "235_038",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Uber AI budget exhausted on adjacent-field bets in 2025",
      "notes": "HIT — confirms 'big bets, some fail' framing.",
      "source": "https://aimagazine.com/news/why-uber-has-already-burned-through-its-ai-budget",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://aimagazine.com/news/why-uber-has-already-burned-through-its-ai-budget",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Public reporting confirms Uber burned through allocated AI/adjacent-field budget in 2025, indicating aggressive risk-taking with high failure rate"
    },
    {
      "kind": "event",
      "label": "Uber will take big bets on adjace
... (truncated)