← Cockpit
FUT_021predictionAIphysical-friction-governor-on-ASI

Uncontrolled recursive self-improvement by AGI requires vast uninterrupted physical infrastructure, flawless power grids, perfect global supply chains for advanced semiconductors. In Zeihan-Bremmer world (severe demographic labor shortages, fragmented ...

Predictor: Superforecaster Community

Prior probability
55.0%
Current probability
46.3%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2031-10-31
Edges in / out
3 / 0
Tickers exposed
1

Prediction text

Uncontrolled recursive self-improvement by AGI requires vast uninterrupted physical infrastructure, flawless power grids, perfect global supply chains for advanced semiconductors. In Zeihan-Bremmer world (severe demographic labor shortages, fragmented energy supply chains, localized kinetic wars over resources, deep domestic political paralysis), physical friction is immense. Superforecasters' models correctly calculate collapsing physical supply chain acts as organic insurmountable governor on velocity of algorithmic supremacy. | Next major physical-supply-chain disruption event

Key catalyst: Next major physical-supply-chain disruption event

Watch events: Next major supply-chain disruption + AI scaling-law response

Resolution evidence

Status: pending

HBM shortage (CMQ_034), Taiwan geopolitical risk (ROB_012), copper/rare-earth bottlenecks empirically validate physical-friction thesis.

Predictor: Superforecaster Community

κ + Brier as of 2026-05-22
κ (discount)
0.643
Brier
0.0000
excellent
Hits / Misses
2 / 0
of 2 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Superforecaster Community 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

3 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 46.3%

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: 8 pending
  1. 2026-09-30pendingTSMC CoWoS advanced packaging fully booked through 2027
    How: TSMC earnings call or supply-chain reports confirm CoWoS capacity sold out into 2027 with allocation prioritization to top AI customers
    Source: deep_research_enrichedconf 85%
  2. 2027-01-07pendingQ1 window check-in (25%)
  3. 2026-06-01 → 2027-12-31pendingMajor physical-supply-chain disruption removes >10% of global advanced-node fab inputs
    How: Industry reports document a discrete event (geopolitical, helium, neon, LNG, or shipping) that removes >=10% of input supply for sub-7nm logic for >=30 days
    Source: deep_research_enrichedconf 55%
  4. 2026-07-01 → 2028-06-30pendingHyperscaler capex announcements explicitly cite power-grid constraints as binding
    How: MSFT, GOOG, META, AMZN, or ORCL 10-K/earnings call language explicitly defers data-center build-out due to grid interconnection delays of >=2 years
    Source: deep_research_enrichedconf 70%
  5. 2026-06-01 → 2028-12-31pendingUS strategic stockpile or DPA action on chip-grade gases / rare earths
    How: DOD/DOE invokes Defense Production Act or builds national stockpile for neon, helium, photoresists, or rare earths critical to leading-edge fabs
    Source: deep_research_enrichedconf 50%
  6. 2028-01-14pendingQ2 window check-in (50%)
  7. 2027-01-01 → 2029-12-31pendingAGI-claiming lab announces deployment delay tied to compute or power
    How: OpenAI/Anthropic/xAI/DeepMind public roadmap slips a flagship model or autonomous agent rollout citing infrastructure (power, fab, packaging) rather than algorithmic limits
    Source: deep_research_enrichedconf 60%
  8. 2029-01-20pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

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: 46%)

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
LBP2026-05-03T02:00:01Z46.3%-1.3pp
Network propagation: 47.6% → 46.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z47.6%-2.5pp
Network propagation: 50.1% → 47.6%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z50.1%-4.9pp
Network propagation: 55.0% → 50.1%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.550-0.088
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.550+0.037
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.550+0.012

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

1 ticker(s) linked

Beneficiaries (1)

GOOGL

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
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 (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-Other",
  "context": "Second Superforecaster Community entry. Critical epistemological framing for why SF xrisk numbers (0.38%) are below domain-expert numbers (3%). Couples with SEM_xxx (China-US gap), CMQ_034 (HBM structural shortage), ROB_012 (Taiwan GPU bottleneck).",
  "to_year": 2031,
  "conv_cues": "epistemological framing; SF-expert delta explanation",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2031",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "TSMC CoWoS advanced packaging fully booked through 2027",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://247wallst.com/technology-3/2026/04/29/ai-demand-is-surging-but-taiwan-semiconductor-is-controlling-the-supply/",
      "expected_date": "2026-09-30",
      "research_origin": "deep_research",
      "measurement_criterion": "TSMC earnings call or supply-chain reports confirm CoWoS capacity sold out into 2027 with allocation prioritization to top AI customers"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2027-01-07",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Major physical-supply-chain disruption removes >10% of global advanced-node fab inputs",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://carraglobe.com/semiconductor-supply-chain-disruption-2026/",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Industry reports document a discrete event (geopolitical, helium, neon, LNG, or shipping) that removes >=10% of input supply for sub-7nm logic for >=30 days"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hyperscaler capex announcements explicitly cite power-grid constraints as binding",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.manufacturingdive.com/news/opinion-omdia-ai-semiconductor-chip-scarcity/817172/",
      "expected_date": "2027-07-01",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-07-01"
      },
      "measurement_criterion": "MSFT, GOOG, META, AMZN, or ORCL 10-K/earnings call language explicitly defers data-center build-out due to grid interconnection delays of >=2 years"
    },
    {
      "kind": "llm_post_event",
      "label": "US strategic stockpile or DPA action on chip-grade gases / rare earths",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2027-09-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "DOD/DOE invokes Defense Production Act or builds national stockpile for neon, helium, photoresists, or rare earths critical to leading-edge fabs"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2028-01-14",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "AGI-claiming lab announces deployment dela
... (truncated)