← Cockpit
SEM_004predictionInvestingNVIDIA

Capital should rotate FROM software developers TO data-center compute, power infrastructure, semi supply chains, and repurposed Bitcoin mining facilities.

Predictor: Leopold Aschenbrenner

Prior probability
85.0%
Current probability
77.4%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
in_progress
Window
2025-01-01 – 2030-12-31
Edges in / out
1 / 5
Tickers exposed
33

Prediction text

Capital should rotate FROM software developers TO data-center compute, power infrastructure, semi supply chains, and repurposed Bitcoin mining facilities. | Next Situational Awareness LP quarterly letter

Key catalyst: Next Situational Awareness LP quarterly letter

Watch events: Data-center REIT performance vs. NVDA; repurposed Bitcoin-mining facility M&A

Resolution evidence

Status: in_progress

Fund letter Q4 2025: reduced pure-silicon exposure (NVDA, AMD), increased positions in data-center REITs, utility IPPs, transformer OEMs, and repurposed crypto-mining facility operators.

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

7 prob_history rows
0%25%50%75%100%prior 85%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 77.4%

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 ✓ · 1 overdue ⏱ · 5 pending
  1. 2026-02-15overdueQ1 window check-in (25%)
  2. 2026-04-25hitAschenbrenner Situational Awareness LP fund crosses $5.5B AUM
    How: Aschenbrenner's Situational Awareness LP files 13F or public disclosure showing $5.5B in equity exposure across 24 holdings, primarily AI infrastructure
    Source: Motley Fool — Leopold Aschenbrenner's Situational Awareness Fund Owns Only 24 Stocks (April 25, 2026)conf 99%
    Notes: HIT — fund grew $225M → $5.5B in roughly one year, concentrated in AI infrastructure. Direct evidence of capital rotation per SEM_004 thesis.
  3. 2026-04-25hitBloom Energy / Lumentum / CoreWeave become top-3 fund holdings
    How: 13F shows Bloom Energy ~16% of portfolio, Lumentum ~8.7%, CoreWeave ~7.9% — concentrated in power/optical/compute infrastructure
    Source: AInvest — Top 7 Holdings of Aschenbrenner's Situational Awareness Fundconf 95%
    Notes: HIT — exact composition of top holdings reveals capital is rotating to power (Bloom), optical comms (Lumentum), and GPU clouds (CoreWeave).
  4. 2026-04-01 → 2027-06-30pendingBitcoin miner converts to AI compute facility
    How: Top-10 public Bitcoin mining company (e.g. Core Scientific, Iris Energy, Riot, Cipher) announces formal pivot of ≥30% of capacity to AI/HPC compute hosting
    Source: Fortune — Aschenbrenner's hedge fund betting big on power and Bitcoin minersconf 85%
    Notes: Direct test of 'repurposed Bitcoin mining facilities' thesis in SEM_004.
  5. 2026-06-01 → 2027-12-31pendingAI infrastructure ETF (e.g. WGMI, ATO, IPO funds) AUM crosses $20B
    How: Combined AUM of dedicated AI infrastructure ETFs (power, semis, data center, optical) crosses $20B
    Source: Anticipated — Bloomberg ETF tracking, ETF.comconf 55%
    Notes: Public-market validation that allocators broadly are rotating into the SEM_004 thesis.
  6. 2027-04-02pendingQ2 window check-in (50%)
  7. 2026-09-01 → 2027-12-31pendingPure-software developer SaaS company multiple compresses by ≥30% vs infrastructure peers
    How: Bloomberg / Goldman Sachs report shows pure-software SaaS forward EV/Revenue multiple has compressed ≥30% relative to AI infrastructure peers (NVDA, ANET, VRT, AMD)
    Source: Anticipated — Bloomberg, Goldman, Morgan Stanley equity researchconf 60%
    Notes: Cascade — direct market evidence that capital has rotated FROM software TO infrastructure (the 'rotate FROM' half of Aschenbrenner's framing).
  8. 2028-05-17pendingQ3 window check-in (75%)

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: 77%)

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
LBP2026-05-17T02:00:01Z77.4%-1.7pp
Network propagation: 79.1% → 77.4%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z79.1%-3.2pp
Network propagation: 82.3% → 79.1%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
intake_event_update2026-05-03T02:40:54Z82.3%+8.0pp
intake:515b84c4-6b29-4d57-8dd6-d41dac0675ec bayesian_v2 inside=0.823 blend=0.823 LLR=0.477 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.7775745487590902,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Leopold Aschenbrenner",
  "total_llr": 0.6931471805599453,
  "bayesian_v2": true,
  "prior_logit": 1.06147488710325,
  "bayes_factor": "1.6:1 favoring",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.7429722972426314,
  "kappa_source": "predictor_table",
  "blend_applied": false,
  "contributions": [
    {
      "llr": 0.6931471805599453,
      "kappa": 0.6875,
      "label": "This is still a sector-concentrated signal, not economy-wide proof. But several large firms are now explicitly pairing r",
      "adjusted_llr": 0.4765386866349624
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 1,
  "outside_weight": 0,
  "posterior_prob": 0.8231757717310686,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "in_progress",
      "evidence_strength": "moderate",
      "delta_prob_suggestion": 0.08
    }
  ],
  "posterior_logit": 1.538013573738212,
  "predictor_brier": 0.04167,
  "evidence_doc_ids": [],
  "inside_posterior": 0.8231757717310686,
  "blended_posterior": 0.8231757717310686,
  "reference_class_id": null,
  "total_adjusted_llr": 0.4765386866349624,
  "predictor_n_resolved": 3
}
LBP2026-05-03T02:00:01Z74.3%+1.1pp
Network propagation: 73.2% → 74.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
metadata_milestone_miss_sweep2026-05-02T22:07:21Z73.2%-5.1pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.732 blend=0.732 LLR=-0.279 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.7776612898262938,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Leopold Aschenbrenner",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 1.283450504466471,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.7830365561672451,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "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": "2026-02-15",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.45563709712159434,
  "outside_weight": 0.5443629028784056,
  "posterior_prob": 0.7319803248926083,
  "posterior_logit": 1.004693242642108,
  "predictor_brier": 0.04167,
  "inside_posterior": 0.7319803248926083,
  "blended_posterior": 0.7319803248926083,
  "reference_class_id": null,
  "total_adjusted_llr": -0.278757261824363,
  "predictor_n_resolved": 3
}
LBP2026-04-30T16:39:51Z78.3%-2.5pp
Network propagation: 80.8% → 78.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z80.8%-4.2pp
Network propagation: 85.0% → 80.8%
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%0.0500.850-0.020

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq242_023
World will have 10x more wealth around 2034-2036Dave Blundin
34.2%0.6000.050+0.129
prereq232_057
First person to arrive on moon/Mars will find bed made by OpDave Blundin
34.8%0.6000.050+0.122
prereq230_024
Under a certain age (40-50) life expectancy is infinity due Dave Blundin
39.6%0.6000.050+0.075
prereq231_038
TSMC fabs will come online in 5-6-7 years; Elon won't wait tDave Blundin
44.0%0.6000.050+0.031
prereq235_018
Single-person conglomerates with agents running businesses wAlex Wissner-Gross
38.6%0.4500.050-0.030

Ticker exposure

33 ticker(s) linked

Beneficiaries (24)

NVDACRWVNBISARMALABMUIRENASMLTSMAMBASITMCEVADELLAMATAMDANETATEYYAVGOCSCOLNVGYMRVLNXPIQCOMSIEGY

Adverse (2)

INTCAMD

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq232_057First person to arrive on moon/Mars will find bed made by Optimus robots; robots not astronauts lead exploration.Robotics
prereq231_038TSMC fabs will come online in 5-6-7 years; Elon won't wait that long.AI
prereq242_023World will have 10x more wealth around 2034-2036Macro/Economy
prereq230_024Under a certain age (40-50) life expectancy is infinity due to longevity escape velocity.Biotech/Longevity
prereq235_018Single-person conglomerates with agents running businesses will be common in ~5 years.Labor/Jobs

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2030-12-31[Capital Markets 2030-12] [SEM_004] Data-center REIT performance vs. NVDA; repurposed Bitcoin-mining facility M&A [INF_003] Hyperscaler combined annual capex; NVIDIA quarterly DC revenue; global DC power growth [247_052] AI enters govepending

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importFund letter Q4 2025: reduced pure-silicon exposure (NVDA, AMD), increased positions in data-center REITs, utility IPPs, transformer OEMs, and repurposed crypto-mining facility operators.

Linked documents (5)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.617gdeltmentionspending2026-04-30
0.569edgar_8kCerebras Systems Inc. (CBRS) (CIK 0002021728)mentionspending2026-05-15
0.550edgar_8kPlanet Labs PBC (PL) (CIK 0001836833)mentionspending2026-05-04
0.550edgar_8kPlanet Labs PBC (PL) (CIK 0001836833)mentionspending2026-06-04
0.550edgar_8kPlanet Labs PBC (PL) (CIK 0001836833)mentionspending2026-06-05

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "THESIS",
  "role": "Guest-VC/Researcher",
  "context": "Situational Awareness LP rotated away from pure chip exposure and into physical-infrastructure bottlenecks, per its Q4-2025 letter.",
  "to_year": 2030,
  "conv_cues": "explicitly directs capital; mathematically reflects",
  "direction": "MIXED",
  "from_year": 2025,
  "timeframe": "2025-2030 ongoing",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -8,
      "source_id": null,
      "expected_date": "2026-02-15",
      "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": "Aschenbrenner Situational Awareness LP fund crosses $5.5B AUM",
      "notes": "HIT — fund grew $225M → $5.5B in roughly one year, concentrated in AI infrastructure. Direct evidence of capital rotation per SEM_004 thesis.",
      "source": "Motley Fool — Leopold Aschenbrenner's Situational Awareness Fund Owns Only 24 Stocks (April 25, 2026)",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.fool.com/investing/2026/04/25/artificial-intelligence-ai-prodigy-leopold-aschenb/",
      "expected_date": "2026-04-25",
      "observed_date": "2026-04-25",
      "research_origin": "deep_research",
      "measurement_criterion": "Aschenbrenner's Situational Awareness LP files 13F or public disclosure showing $5.5B in equity exposure across 24 holdings, primarily AI infrastructure"
    },
    {
      "kind": "llm_pre_event",
      "label": "Bloom Energy / Lumentum / CoreWeave become top-3 fund holdings",
      "notes": "HIT — exact composition of top holdings reveals capital is rotating to power (Bloom), optical comms (Lumentum), and GPU clouds (CoreWeave).",
      "source": "AInvest — Top 7 Holdings of Aschenbrenner's Situational Awareness Fund",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.ainvest.com/news/top-7-holdings-leopold-aschenbrenner-situational-awareness-fund-ai-prodigy-venture-fund-2604/",
      "expected_date": "2026-04-25",
      "observed_date": "2026-04-25",
      "research_origin": "deep_research",
      "measurement_criterion": "13F shows Bloom Energy ~16% of portfolio, Lumentum ~8.7%, CoreWeave ~7.9% — concentrated in power/optical/compute infrastructure"
    },
    {
      "kind": "llm_pre_event",
      "label": "Bitcoin miner converts to AI compute facility",
      "notes": "Direct test of 'repurposed Bitcoin mining facilities' thesis in SEM_004.",
      "source": "Fortune — Aschenbrenner's hedge fund betting big on power and Bitcoin miners",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://fortune.com/2026/03/05/leopold-aschenbrenner-ai-hedge-fund-superintelligence-agi-power-companies-crypto-miners/",
      "expected_date": "2026-11-14",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Top-10 public Bitcoin mining company (e.g. Core Scientific, Iris Energy, Riot, Cipher) announces formal pivot of ≥30% of capacity to AI/HPC compute hosting"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI infrastructure ETF (e.g. WGMI, ATO, IPO funds) AUM crosses $20B",
      "notes": "Public-market validation that allocators broadly are rotating into the SEM_004 thesis.",
      "source": "Anticipated — Bloomberg ETF tracking, ETF.com",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "expecte
... (truncated)