← Cockpit
CMQ_014predictionAI/Computephysical-compute

Physical compute scaling will proceed at ~0.5 OOMs per year through 2027, driven by exponentially larger data-center construction.

Predictor: Leopold Aschenbrenner

Prior probability
70.0%
Current probability
49.7%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
in_progress
Window
2024-01-01 – 2027-12-31
Edges in / out
5 / 0
Tickers exposed
27

Prediction text

Physical compute scaling will proceed at ~0.5 OOMs per year through 2027, driven by exponentially larger data-center construction. | Hyperscaler quarterly capex disclosures

Key catalyst: Hyperscaler quarterly capex disclosures

Watch events: Single-site >5GW power contracts; hyperscaler quarterly capex disclosures.

Resolution evidence

Status: in_progress

xAI Colossus 200K→1M GPUs; Stargate $500B over 4 years; Meta/MSFT capex each >$75B 2025 — cumulative physical compute 2x-3x annually.

Predictor: Leopold Aschenbrenner

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0417
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Leopold Aschenbrenner 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 70%2026-04-302026-05-022026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 49.7%

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: 2 fired ✓ · 3 overdue ⏱ · 1 pending
  1. 2024-09-27overdueQ1 window check-in (25%)
  2. 2025-06-25overdueQ2 window check-in (50%)
  3. 2026-01-31hitHyperscaler 2026 capex consensus crosses $600B (above 0.5 OOM/yr trajectory)
    How: Top-5 hyperscaler aggregate 2026 capex guidance crosses $600B per analyst consensus
    Source: https://introl.com/blog/hyperscaler-capex-600b-2026-ai-infrastructure-debt-january-2026conf 97%
    Notes: HIT — January 2026 consensus reached $600B-$630B; 36% YoY growth above the implied 3x physical compute trajectory.
  4. 2026-03-22overdueQ3 window check-in (75%)
  5. 2026-04-25hitHyperscaler 2026 capex revised upward to $720-750B
    How: Q1 2026 earnings cycle prompts top-5 hyperscaler capex revision to $720B+
    Source: https://finance.yahoo.com/markets/article/magnificent-7-earnings-rush-reveals-ai-spending-surge-with-hyperscaler-capex-set-to-reach-725-billion-in-2026-224901707.htmlconf 95%
  6. 2026-06-01 → 2026-12-31pendingFirst 1 GW single-cluster training facility operational
    How: Hyperscaler announces first 1 GW power-rated training cluster operational (Aschenbrenner 'GW per cluster by 2026' call)
    Source: https://pro.stockalarm.io/blog/situational-awareness-two-years-later — Aschenbrenner '1 GW per cluster by 2026' tracking as HITconf 85%
  7. 2026-12-31pendingAggregate FLOPS deployed crosses prior-year level by ~3x
    How: Industry FLOPS-deployed estimate (Epoch AI / SemiAnalysis) shows ~3x YoY growth (=0.5 OOM)
    Source: Epoch AI compute trends + SemiAnalysis hyperscaler trackingconf 70%
    Notes: Aschenbrenner: 0.5 OOM/yr = 3.16x. Capex pace ($450B 2025 -> $725B 2026 = 1.6x) supports below-3x FLOPS growth, partial confirmation.
  8. 2027-01-01 → 2027-04-30pending2027 hyperscaler capex guidance >=$900B (extends 0.5 OOM/yr through 2027)
    How: Hyperscaler 2027 capex guidance issued in Q4 2026 / Q1 2027 earnings >=$900B aggregate
    Source: https://datacenterrichness.substack.com/p/hyperscalers-plan-630-billion-inconf 55%

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: 50%)

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
LBP2026-05-10T02:00:02Z49.7%+2.0pp
Network propagation: 47.7% → 49.7%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z47.7%+3.8pp
Network propagation: 43.9% → 47.7%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z43.9%-20.5pp
metadata_milestone_miss_sweep bayesian_v2 n=3 inside=0.439 blend=0.439 LLR=-0.836 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.41580700323259134,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Leopold Aschenbrenner",
  "total_llr": -1.2163953243244932,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.5908989803561037,
  "bayes_factor": "2.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.6435713869374784,
  "kappa_source": "predictor_table",
  "n_milestones": 3,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2024-09-27",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2025-06-25",
      "measurement_criterion": null
    },
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q3 window check-in (75%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2026-03-22",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.708935097737186,
  "outside_weight": 0.291064902262814,
  "posterior_prob": 0.4389627352111058,
  "posterior_logit": -0.24537280511698534,
  "predictor_brier": 0.04167,
  "inside_posterior": 0.4389627352111058,
  "blended_posterior": 0.4389627352111058,
  "reference_class_id": null,
  "total_adjusted_llr": -0.836271785473089,
  "predictor_n_resolved": 3
}
LBP2026-04-30T16:39:51Z64.4%-2.0pp
Network propagation: 66.3% → 64.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z66.3%-3.7pp
Network propagation: 70.0% → 66.3%
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
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.700+0.125

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

27 ticker(s) linked

Beneficiaries (21)

FSLRARGANWULFAPLDIRENEQIXCRWVFLNCNBISIRMMETAMSFTETNORCLSFTBYSTXAAPLAMZNAMTGOOGLHUBB

Prerequisites (5)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_COMPUTE_1GW_2027Compute: 1GW operational by Jun 2027compute_scale
correlateS_HUMANOID_ENTERPRISE_2028Humanoid R2: 100K+ enterprise by Nov 2028humanoid_deployment
correlateS_GRID_50GW_202750GW dedicated AI/data center grid by Dec 2027energy_grid_expansion
correlateS_COMPUTE_100GW_2030Compute: 100GW national-scale by Dec 2030compute_scale
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importxAI Colossus 200K→1M GPUs; Stargate $500B over 4 years; Meta/MSFT capex each >$75B 2025 — cumulative physical compute 2x-3x annually.

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "~0.5 OOMs/yr",
  "mode": "FORECAST",
  "role": "Cited-Researcher",
  "caveats": "Gated by power contracts and grid capacity.",
  "context": "First of three OOM vectors: raw FLOPs/watt expansion plus GPU count growth, equating to ~3x physical compute per year.",
  "to_year": 2027,
  "conv_cues": "quantitative rate; historical extrapolation",
  "direction": "NUMERIC_TARGET",
  "from_year": 2024,
  "timeframe": "2024-2027",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2024-09-27",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2025-06-25",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler 2026 capex consensus crosses $600B (above 0.5 OOM/yr trajectory)",
      "notes": "HIT — January 2026 consensus reached $600B-$630B; 36% YoY growth above the implied 3x physical compute trajectory.",
      "source": "https://introl.com/blog/hyperscaler-capex-600b-2026-ai-infrastructure-debt-january-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.97,
      "source_url": "https://introl.com/blog/hyperscaler-capex-600b-2026-ai-infrastructure-debt-january-2026",
      "expected_date": "2026-01-31",
      "observed_date": "2026-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Top-5 hyperscaler aggregate 2026 capex guidance crosses $600B per analyst consensus"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-03-22",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler 2026 capex revised upward to $720-750B",
      "source": "https://finance.yahoo.com/markets/article/magnificent-7-earnings-rush-reveals-ai-spending-surge-with-hyperscaler-capex-set-to-reach-725-billion-in-2026-224901707.html",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://finance.yahoo.com/markets/article/magnificent-7-earnings-rush-reveals-ai-spending-surge-with-hyperscaler-capex-set-to-reach-725-billion-in-2026-224901707.html",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-25",
      "research_origin": "deep_research",
      "measurement_criterion": "Q1 2026 earnings cycle prompts top-5 hyperscaler capex revision to $720B+"
    },
    {
      "kind": "llm_pre_event",
      "label": "First 1 GW single-cluster training facility operational",
      "source": "https://pro.stockalarm.io/blog/situational-awareness-two-years-later — Aschenbrenner '1 GW per cluster by 2026' tracking as HIT",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://pro.stockalarm.io/blog/situational-awareness-two-years-later",
      "expected_date": "2026-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Hyperscaler announces first 1 GW power-rated training clust
... (truncated)