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SEM_018predictionSemishardware

SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.

Predictor: SMIC (All-In Podcast analysis)

Prior probability
65.0%
Current probability
47.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
in_progress
Window
2026-01-01 – 2026-12-31
Edges in / out
3 / 5
Tickers exposed
32

Prediction text

SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses. | SMIC quarterly capacity disclosures

Key catalyst: SMIC quarterly capacity disclosures

Watch events: SMIC quarterly disclosures; Huawei Ascend chip shipments (derived demand signal)

Resolution evidence

Status: in_progress

SMIC reported ~35K wpm 7nm equivalent early 2025; ramping. 100K wpm by end-2026 plausible but tight given DUV multi-patterning yield constraints.

Predictor: SMIC (All-In Podcast analysis)

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from SMIC (All-In Podcast analysis) 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 65%2026-04-302026-05-022026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 47.0%

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 overdue ⏱ · 1 pending
  1. 2026-03-10overdueQ1 window check-in (25%)
  2. 2026-05-18overdueQ2 window check-in (50%)
  3. 2026-07-26pendingQ3 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: 47%)

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
metadata_milestone_miss_sweep2026-05-30T22:15:00Z47.0%-5.1pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.470 blend=0.470 LLR=-0.203 κ=0.50 no_blend
Raw metadata
{
  "trf": 0.5881123843731557,
  "kappa": 0.5,
  "base_rate": null,
  "predictor": "SMIC (All-In Podcast analysis)",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.08107115573974077,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5202566953347425,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5,
      "label": "Q2 window check-in (50%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2027325540540822,
      "expected_date": "2026-05-18",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5883213309387909,
  "outside_weight": 0.4116786690612091,
  "posterior_prob": 0.4696221110309404,
  "posterior_logit": -0.12166139831434142,
  "predictor_brier": null,
  "inside_posterior": 0.4696221110309404,
  "blended_posterior": 0.4696221110309404,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2027325540540822,
  "predictor_n_resolved": 0
}
metadata_milestone_miss_sweep2026-05-02T22:07:21Z52.0%-5.0pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.520 blend=0.520 LLR=-0.203 κ=0.50 no_blend
Raw metadata
{
  "trf": 0.6650500679109432,
  "kappa": 0.5,
  "base_rate": null,
  "predictor": "SMIC (All-In Podcast analysis)",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": 0.2838037097938226,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5704785063269018,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.5,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.2027325540540822,
      "expected_date": "2026-03-10",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.5344649524623397,
  "outside_weight": 0.4655350475376603,
  "posterior_prob": 0.5202566953347425,
  "posterior_logit": 0.08107115573974039,
  "predictor_brier": null,
  "inside_posterior": 0.5202566953347425,
  "blended_posterior": 0.5202566953347425,
  "reference_class_id": null,
  "total_adjusted_llr": -0.2027325540540822,
  "predictor_n_resolved": 0
}
LBP2026-04-30T16:39:51Z57.0%-2.8pp
Network propagation: 59.8% → 57.0%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z59.8%-5.2pp
Network propagation: 65.0% → 59.8%
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
killerTK06
China-Taiwan Military Conflict
8.0%0.0500.650+0.132
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.650+0.108
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.650-0.030

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq247_055
Acquisition of small specialized AI teams for hundreds of miDave Blundin
49.9%0.6500.050-0.147
prereq230_006
The frontier models will go dark — kept internal to benefit Peter Diamandis
48.0%0.6500.050-0.128
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050-0.040
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050-0.020
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.009

Ticker exposure

32 ticker(s) linked

Beneficiaries (24)

ALABAMBAARMASMLCEVACRWVIRENMUNBISNVDASITMTSMAMDNXPIANETMRVLCSCODELLAVGOSIEGYLNVGYAMATQCOMATEYY

Adverse (4)

AMATINTCLRCXAMD

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK06China-Taiwan Military Conflict

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq247_023AI will be able to do everything a white collar worker does imminentlyAI
prereq242_031Most large companies' business models will be disrupted in 2-5 yearsMarkets/Stocks
prereq230_006The frontier models will go dark — kept internal to benefit the labs in an all-out battle.AI
prereq247_055Acquisition of small specialized AI teams for hundreds of millions will become commonAI
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI

Linked documents (7)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.655edgar_8kSuper Micro Computer, Inc. (SMCI) (CIK 0001375365)mentionspending2026-05-05
0.655edgar_8kSuper Micro Computer, Inc. (SMCI) (CIK 0001375365)mentionspending2026-05-18
0.599manifoldWill China's alumina production for calendar year 2027 exceed 85 million tonnes?83%mentionspending2026-05-04
0.587manifoldWill China Hongqiao Group's primary aluminum production for calendar year 2028 exceed 6.4 million tonnes?48%mentionspending2026-05-04
0.584manifoldWill China Hongqiao Group's primary aluminum production for calendar year 2027 exceed 6.4 million tonnes?46%mentionspending2026-05-04
0.565edgar_8kSPX Technologies, Inc. (SPXC) (CIK 0000088205)mentionspending2026-05-12
0.549edgar_8kPOWELL INDUSTRIES INC (POWL) (CIK 0000080420)mentionspending2026-05-05

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "100K wafers/mo advanced",
  "mode": "FORECAST",
  "role": "Cited-Analyst",
  "context": "SMIC advanced-node ceiling ~100K wpm by 2026 = 1/100th TSMC total output and 1/8th Nvidia's single-year reservation.",
  "to_year": 2026,
  "conv_cues": "projected; stark asymmetry",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "2026",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-03-10",
      "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": -2,
      "source_id": null,
      "expected_date": "2026-05-18",
      "observed_date": null,
      "miss_emitted_at": "2026-05-30T22:15:00.756418+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2026-07-26",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "SEM_018",
      "expected_date": "2026-10-03",
      "observed_date": null
    },
    {
      "kind": "cascade",
      "label": "The frontier models will go dark — kept internal to benefit the labs in an all-out battle.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": 1,
      "source_id": "230_006",
      "expected_date": "2027-06-24",
      "observed_date": null
    },
    {
      "kind": "cascade",
      "label": "Acquisition of small specialized AI teams for hundreds of millions will become common",
      "status": "pending",
      "weight": 0.5,
      "ordinal": 2,
      "source_id": "247_055",
      "expected_date": "2027-06-25",
      "observed_date": null
    },
    {
      "kind": "cascade",
      "label": "Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": 3,
      "source_id": "248_033",
      "expected_date": "2028-07-20",
      "observed_date": null
    },
    {
      "kind": "cascade",
      "label": "Most large companies' business models will be disrupted in 2-5 years",
      "status": "pending",
      "weight": 0.5,
      "ordinal": 4,
      "source_id": "242_031",
      "expected_date": "2030-09-27",
      "observed_date": null
    }
  ],
  "repeat_eps": 1,
  "affiliation": "All-In Podcast / Industry consensus",
  "attribution": "FIRST_PERSON",
  "granularity": "YEAR",
  "source_refs": "9",
  "target_date": "2026-12-15",
  "display_date": "2026-10-03",
  "episode_date": "2026-04-21T00:00:00",
  "key_catalyst": "SMIC quarterly capacity disclosures",
  "parse_method": "YEAR midpoint",
  "domain_bucket": "Semis",
  "episode_title": "Forecasts and Strategic Vectors in the Global Semiconductor and Compute Manufacturing Ecosystem (2023-2026)",
  "fault_line_id": "F003, F007, F008",
  "flag_repeated": false,
  "in_5yr_window": true,
  "source_report": "Semiconductor_Prediction_Research_Plan.md (2026-04-21)",
  "appears_in_eps": "SEM-RPT",
  "consensus_size": 7,
  "futurist_phase": "Phase 1 (2026)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "ps_cluster_tags": [
    "C1",
    "C2",
    "C3",
    "C5"
  ],
  "report_evidence": "Chip-war capacity ceiling. Forces Chinese algorithmic bypasses (quantization, ternary weights
... (truncated)