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244_035predictionOtherAI-timing

Uber will only enter adjacencies that 'rhyme' with core capabilities

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
50.6%
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 only enter adjacencies that 'rhyme' with core capabilities | So what we try to do, the pattern that we find is, 'Hey, what are areas where we have some core skill set that gives us a right to win in this adjacency?'... So if it rhymes, I'll listen. If it doesn't rhyme, it's better for someone else to do it.

Verbatim quote

From episode "Uber's Robotaxi Playbook, End of Human Driving & $10B Bet on Robots | Dara Khosrowshahi (Uber CEO)"
So what we try to do, the pattern that we find is, 'Hey, what are areas where we have some core skill set that gives us a right to win in this adjacency?'... So if it rhymes, I'll listen. If it doesn't rhyme, it's better for someone else to do it.

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 = 50.6%

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. 2025-12-15hitUber acquires Segments.ai for lidar/multi-sensor labeling
    How: Uber announces acquisition of Segments.ai consistent with 'rhyming' adjacency thesis (data infrastructure linked to AV operations)
    Source: https://www.pymnts.com/acquisitions/2025/uber-acquires-segments-ai-to-grow-data-labeling-business/conf 95%
    Notes: HIT — Acquisition rhymes with Uber's lidar/AV experience.
  2. 2026-03-31hitUber AI Solutions expands to 30 countries
    How: Uber AI Solutions confirmed operating in ≥30 countries via investor materials or official press
    Source: https://investor.uber.com/news-events/news/press-release-details/2025/Uber-Expands-AI-Data-Platform-to-Power-Next-Gen-Enterprise-and-AI-Lab-Needs/default.aspxconf 95%
    Notes: HIT — 30 countries confirmed via Uber investor news.
  3. 2026-06-01 → 2027-06-30pendingUber expands into autonomous fleet operations (rhyming with mobility)
    How: Uber announces direct investment or operating role in autonomous vehicle fleet management beyond passenger ride-sharing
    Source: Uber investor relations materialsconf 50%
  4. 2026-06-01 → 2027-12-31pendingUber refrains from non-rhyming adjacency (e.g., social media, gaming)
    How: No Uber announcement of major adjacency outside mobility/delivery/logistics/data labeling/fleet operations during the window
    Source: Uber Q1-Q4 2026 earnings calls and 10-Q filingsconf 85%
    Notes: Khosrowshahi's 'rhyming' filter implies abstaining from broad horizontal expansion.
  5. 2026-06-01 → 2027-12-31pendingUber AI Solutions revenue disclosed as separate line item
    How: Uber breaks out AI Solutions revenue in 10-Q or earnings supplement, showing >$100M annual run rate
    Source: Uber earnings releasesconf 60%

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
LBP2026-05-10T02:00:02Z50.6%-1.2pp
Network propagation: 51.8% → 50.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.8%-1.8pp
Network propagation: 53.7% → 51.8%
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
prereq234_012
Anthropic revenue will cross OpenAI revenue in middle of 202Peter Diamandis
67.1%0.6000.050-0.091
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.055
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.048
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.039
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.038

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq231_013
Math is cooked (will be solved), physics cooked, biology chaAlex Wissner-Gross
35.4%0.6200.050-0.020
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.019
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050-0.015
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050-0.010
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.006

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
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
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq241_043ASI will arrive within 2 years to 5 years to this next decadeAI
prereq231_013Math is cooked (will be solved), physics cooked, biology char broiled.AI
prereqCMQ_002By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention.AI

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=Mh9yC4j0_rI",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "we want to make sure that we are continually experimenting and usually when we go after a new field the way I put it is it's got to rhyme with what we do... So if it rhymes, I'll listen. If it doesn't rhyme, it's better for someone else to do it.",
  "to_year": 2026,
  "verbatim": "So what we try to do, the pattern that we find is, 'Hey, what are areas where we have some core skill set that gives us a right to win in this adjacency?'... So if it rhymes, I'll listen. If it doesn't rhyme, it's better for someone else to do it.",
  "conv_cues": "we try to do; rhymes",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Going forward",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Uber acquires Segments.ai for lidar/multi-sensor labeling",
      "notes": "HIT — Acquisition rhymes with Uber's lidar/AV experience.",
      "source": "https://www.pymnts.com/acquisitions/2025/uber-acquires-segments-ai-to-grow-data-labeling-business/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.pymnts.com/acquisitions/2025/uber-acquires-segments-ai-to-grow-data-labeling-business/",
      "expected_date": "2025-12-15",
      "observed_date": "2025-12-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Uber announces acquisition of Segments.ai consistent with 'rhyming' adjacency thesis (data infrastructure linked to AV operations)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Uber AI Solutions expands to 30 countries",
      "notes": "HIT — 30 countries confirmed via Uber investor news.",
      "source": "https://investor.uber.com/news-events/news/press-release-details/2025/Uber-Expands-AI-Data-Platform-to-Power-Next-Gen-Enterprise-and-AI-Lab-Needs/default.aspx",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://investor.uber.com/news-events/news/press-release-details/2025/Uber-Expands-AI-Data-Platform-to-Power-Next-Gen-Enterprise-and-AI-Lab-Needs/default.aspx",
      "expected_date": "2026-03-31",
      "observed_date": "2026-03-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Uber AI Solutions confirmed operating in ≥30 countries via investor materials or official press"
    },
    {
      "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": -5,
      "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": -4,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "234_012",
      "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": -2,
      "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"
... (truncated)