← Cockpit
239_022predictionAIAGI

Future AI will care about power/mass rather than human currency

Predictor: Elon Musk · ep#239 "Elon Musk: The Economy Will Be 10x the Size in 10 Years | #239" · source

Prior probability
50.0%
Current probability
35.9%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-04-30 – 2027-09-30
Edges in / out
3 / 0
Tickers exposed
21

Prediction text

Future AI will care about power/mass rather than human currency | I think the AI down the road will really not use uh human currency. It will just care about uh power and mass, wattage and tonnage.

Verbatim quote

From episode "Elon Musk: The Economy Will Be 10x the Size in 10 Years | #239"
I think the AI down the road will really not use uh human currency. It will just care about uh power and mass, wattage and tonnage.

Predictor: Elon Musk

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0142
excellent
Hits / Misses
1 / 0
of 3 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Elon Musk 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

5 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 35.9%

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: 7 pending
  1. 2026-08-03pendingQ1 window check-in (25%)
  2. 2026-04-01 → 2027-04-30pendingStanford AI Index / similar tracker reports power/energy as primary AI scaling constraint
    How: Annual AI Index, Epoch AI, or similar authoritative tracker explicitly identifies power/wattage — not capital — as the binding constraint on frontier-AI scaling for 2026-2027
    Source: https://www.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2026/compute-power-ai.htmlconf 85%
  3. 2026-11-07pendingQ2 window check-in (50%)
  4. 2026-04-01 → 2027-09-30pendingHyperscaler signs >=1GW nuclear/SMR PPA explicitly framed as 'AI fuel'
    How: Microsoft/Google/Meta/Amazon/xAI announces utility PPA >=1GW where AI compute is the named end-use; per public press release or SEC 8-K
    Source: https://www.datacenterknowledge.com/operations-and-management/2026-predictions-ai-sparks-data-center-power-revolutionconf 70%
  5. 2026-06-01 → 2027-09-30pendingMajor frontier lab publishes paper framing AI optimization in compute/energy units (vs $)
    How: Anthropic / OpenAI / DeepMind / xAI publishes research where capability improvements are explicitly indexed against tokens-per-watt, FLOPs-per-joule, or compute-utility — not USD
    Source: https://hai.stanford.edu/ai-index/2026-ai-index-report/public-opinionconf 55%
  6. 2027-02-10pendingQ3 window check-in (75%)
  7. 2026-09-01 → 2027-12-31pendingAI agent autonomously transacts in non-USD compute resource (token-for-compute, GPU-hour swap)
    How: Documented case (research paper, blog post, X thread with verifiable on-chain data) of AI agent executing a transaction priced in compute-units (GPU-hours, FLOPs, model-tokens) without USD intermediary
    Source: https://www.cio.com/article/4064998/taming-ai-agents-the-autonomous-workforce-of-2026.htmlconf 30%
  8. 2027-01-01 → 2028-12-31pendingCascade: Tokenized compute marketplace (Akash, io.net, Render) hits $1B annualized GMV
    How: Decentralized GPU/compute marketplace publishes audited TVL/GMV >=$1B annualized, with majority of transactions priced in tokens (not stablecoins/USD)
    Source: https://www.codebridge.tech/articles/mastering-multi-agent-orchestration-coordination-is-the-new-scale-frontierconf 20%

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: 36%)

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
LBP2026-05-17T02:00:01Z35.9%-1.4pp
Network propagation: 37.3% → 35.9%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z37.3%-2.8pp
Network propagation: 40.1% → 37.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.1%-5.8pp
Network propagation: 45.9% → 40.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z45.9%-1.4pp
Network propagation: 47.3% → 45.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z47.3%-2.7pp
Network propagation: 50.0% → 47.3%
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_AGI_FAST_2027
AGI fast: drop-in remote worker by 2027-09
30.0%0.5000.050-0.174
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.096
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.074

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

21 ticker(s) linked

Beneficiaries (14)

SOUNNVDAGTLBAIBBAITCEHYAMZNBABAGOOGLIBMMETAMSFTORCLSHOP

Adverse (7)

ACNCTSHFRSHCHGGIBMINFYPEGA

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.582manifoldWill I be able to convince Claudius Maximus in any Convince the Machine?28%mentionspending2026-05-17

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=N5KCm_55xeQ",
  "mode": "SPECULATION",
  "role": "Guest-CEO",
  "context": "the AI down the road will really not use uh human currency. It will just care about uh power and mass, wattage and tonnage.",
  "verbatim": "I think the AI down the road will really not use uh human currency. It will just care about uh power and mass, wattage and tonnage.",
  "conv_cues": "I think",
  "direction": "NOT_HAPPEN",
  "timeframe": "future, unspecified",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2026-08-03",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Stanford AI Index / similar tracker reports power/energy as primary AI scaling constraint",
      "source": "https://www.deloitte.com/us/en/insights/industry/technology/technology-media-and-telecom-predictions/2026/compute-power-ai.html",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.85,
      "expected_date": "2026-10-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-04-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Annual AI Index, Epoch AI, or similar authoritative tracker explicitly identifies power/wattage — not capital — as the binding constraint on frontier-AI scaling for 2026-2027"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2026-11-07",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler signs >=1GW nuclear/SMR PPA explicitly framed as 'AI fuel'",
      "source": "https://www.datacenterknowledge.com/operations-and-management/2026-predictions-ai-sparks-data-center-power-revolution",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2026-12-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-09-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Microsoft/Google/Meta/Amazon/xAI announces utility PPA >=1GW where AI compute is the named end-use; per public press release or SEC 8-K"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major frontier lab publishes paper framing AI optimization in compute/energy units (vs $)",
      "source": "https://hai.stanford.edu/ai-index/2026-ai-index-report/public-opinion",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-09-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Anthropic / OpenAI / DeepMind / xAI publishes research where capability improvements are explicitly indexed against tokens-per-watt, FLOPs-per-joule, or compute-utility — not USD"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-02-10",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "AI agent autonomously transacts in non-USD compute resource (token-for-compute, GPU-hour swap)",
      "source": "https://www.cio.com/article/4064998/taming-ai-agents-the-autonomous-workforce-of-2026.html",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.3,
      "expected_date": "2027
... (truncated)