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FUT_024predictionAIIMO-gold-2025-underestimate-calibration

XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical tr...

Predictor: Superforecaster Community

Prior probability
100.0%
Current probability
100.0%
evolves via intake + LBP
Conviction
5/5
Signal quality
C
Resolution
hit
Window
2022-01-01 – 2025-09-30
Edges in / out
1 / 0
Tickers exposed
0

Prediction text

XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — actual achievement empirically reached forcing systemic re-evaluation within forecasting community. Historical track-record lesson: elite human superforecasters severely underestimated near-term algorithmic-systems progress pre-2023. | Next AI-benchmark milestone exceeding SF prior

Key catalyst: Next AI-benchmark milestone exceeding SF prior

Watch events: Next SF-community AI-capability calibration event

Resolution evidence

Status: hit

DeepMind AlphaProof + AlphaGeometry 2 achieved IMO silver 2024 + gold 2025; empirically forced XPT recalibration.

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

1 prob_history rows
0%25%50%75%100%prior 100%2026-04-29
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 100.0%

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: 3 overdue ⏱
  1. 2023-01-30overdueQ1 window check-in (25%)
  2. 2024-02-29overdueQ2 window check-in (50%)
  3. 2025-03-30overdueQ3 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: 100%)

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
resolution_terminal2026-04-29T22:23:18Z100.0%+0.0pp
resolution_terminal hit outcome=1.0 pre_resolution=1.000
Raw metadata
{
  "source": "backfill_resolution_history.py",
  "status": "hit",
  "bayesian_v2": false,
  "outcome_prob": 1,
  "evidence_kind": "resolution_terminal",
  "posterior_prob": 1,
  "delta_to_outcome": 0,
  "inside_posterior": 1,
  "validation_notes": "DeepMind AlphaProof + AlphaGeometry 2 achieved IMO silver 2024 + gold 2025; empirically forced XPT recalibration.",
  "validation_status": "hit",
  "pre_resolution_prob": 1,
  "resolution_evidence": "DeepMind AlphaProof + AlphaGeometry 2 achieved IMO silver 2024 + gold 2025; empirically forced XPT recalibration.",
  "does_not_update_current_prob": true
}

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29hitthesis_timeline_v1.0_importDeepMind AlphaProof + AlphaGeometry 2 achieved IMO silver 2024 + gold 2025; empirically forced XPT recalibration.

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.690manifoldGukesh - Sindarov score in the 2026 World Chess Championshipmentionspending2026-05-07
0.680polymarketWill xAI have the best AI model at the end of June 2026?0%mentionspending2025-10-10
0.680polymarketWill xAI have the best AI model at the end of May 2026?0%mentionspending2026-04-13
0.674polymarketWill DeepSeek have the best AI model at the end of May 2026?0%mentionspending2026-04-13
0.673manifoldWill I get a Gold Medal on USAMO 2027?47%mentionspending2026-04-28
0.671polymarketWill Meituan have the best AI model at the end of May 2026?0%mentionspending2026-04-13
0.671polymarketWill Meta have the best AI model at the end of May 2026?0%mentionspending2026-04-13
0.671polymarketWill DeepSeek have the best AI model at the end of June 2026?0%mentionspending2025-10-10
0.670polymarketWill Z.ai have the best AI model at the end of May 2026?0%mentionspending2026-04-13
0.670polymarketWill Meta have the best AI model at the end of June 2026?0%mentionspending2025-10-10

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "2.3% SF assigned; achieved",
  "mode": "OBSERVATION",
  "role": "Cited-Other",
  "context": "Third Superforecaster Community entry. Critical calibration-lesson anchor. Documents the 2.3% -> achieved pattern justifying ongoing compression.",
  "to_year": 2025,
  "conv_cues": "empirical tournament result; specific probability",
  "direction": "HAPPEN",
  "from_year": 2022,
  "timeframe": "2022-2025",
  "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": "2023-01-30",
      "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": "2024-02-29",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2025-03-30",
      "observed_date": null,
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "event",
      "label": "XPT 2022 tournament assigned mere 2.3% probability to AI achieving gold-medal performance in International Mathematical Olympiad by 2025 — a",
      "status": "hit",
      "weight": 1,
      "ordinal": 0,
      "source_id": "FUT_024",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    }
  ],
  "repeat_eps": 1,
  "affiliation": "XPT 2022 / 80000 Hours",
  "attribution": "CITED",
  "granularity": "YEAR_RANGE",
  "resolved_at": "2026-04-29T22:23:18.376027+00:00",
  "source_refs": "3",
  "target_date": "2025-07-15T00:00:00",
  "display_date": "2026-04-29",
  "episode_date": "2026-04-22T00:00:00",
  "key_catalyst": "Next AI-benchmark milestone exceeding SF prior",
  "parse_method": "YEAR_RANGE observation",
  "domain_bucket": "AI",
  "episode_title": "The Convergence Architecture: High-Fidelity Macro-Forecasting for the 2026-2031 Global System",
  "flag_repeated": false,
  "in_5yr_window": false,
  "source_report": "Futurist Predictions for 2026-2031.md (2026-04-22)",
  "appears_in_eps": "FUT-RPT",
  "futurist_phase": "Phase 1 (2026)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 3,
  "report_evidence": "Section: Calibrating Algorithmic Velocity.",
  "active_end_month": "2025-12",
  "recent_statement": "XPT 2022 + DeepMind IMO 2025 results.",
  "watch_events_raw": "Next SF-community AI-capability calibration event",
  "months_from_today": -9,
  "probability_layer": "Higher (in-flight)",
  "active_start_month": "2022-01",
  "december_dispersal": {
    "reason": "december_dispersal: domain=AI → 09/2025",
    "new_date": "2025-09-30",
    "old_date": "2025-12-31",
    "applied_at": "2026-04-30T16:28:34.304992+00:00"
  },
  "flag_nia_bracketed": false,
  "resolved_at_source": "validations_observed_at",
  "track_record_grade": "A",
  "track_record_notes": "Critical calibration event for SF community; forced methodology update.",
  "contradicting_notes": "Observation, not forecast — 100% retrospective validation.",
  "flag_near_term_2027": false,
  "flag_high_conviction": false,
  "milestones_derived_at": "2026-05-02T03:08:50.857001+00:00",
  "reference_class_match": {
    "decision": "keyword_filtered",
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_id_unfiltered": "regulatory_freeze_window",
    "best_similarity_unfiltered": 0.579
  },
  "validation_status_raw": "CONFIRMED",
  "co