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239_005predictionAIAGI

AI intelligence will far exceed human intelligence to incomprehensible degree

Predictor: Elon Musk · ep#239 "Elon Musk: The Economy Will Be 10x the Size in 10 Years | #239" · source

Prior probability
50.0%
Current probability
35.9%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2027-09-30
Edges in / out
3 / 0
Tickers exposed
21

Prediction text

AI intelligence will far exceed human intelligence to incomprehensible degree | people don't don't quite understand just how much intelligence there will be or you know just how far it will exceed human intelligence to a degree that is uh impossible to fully understand.

Verbatim quote

From episode "Elon Musk: The Economy Will Be 10x the Size in 10 Years | #239"
people don't don't quite understand just how much intelligence there will be or you know just how far it will exceed human intelligence to a degree that is uh impossible to fully understand.

Resolution evidence

Status: pending

AI exceeding human intelligence 'to incomprehensible degree' — unfalsifiable.

Predictor: Elon Musk

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0142
excellent
Hits / Misses
1 / 0
of 3 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Elon Musk 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 50%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 35.9%

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: 1 fired ✓ · 5 pending
  1. 2026-02-22hitSam Altman publicly states AGI 'feels close' or equivalent
    How: Sam Altman publicly states (X/blog/interview) that AGI feels 'pretty close' or equivalent superlative
    Source: https://www.theneuron.ai/explainer-articles/openais-vision-for-2026-sam-altman-lays-out-the-roadmap/conf 95%
    Notes: HIT - Altman 2026-02-22 statement that AGI feels 'pretty close at this point' is exactly the rhetorical milestone Musk anticipated.
  2. 2026-07-24pendingQ1 window check-in (25%)
  3. 2026-06-01 → 2026-12-31pendingOpenAI declares 'AI research intern' capability internally achieved
    How: OpenAI publicly states (per its 2026 roadmap target) that an internal model functions at the level of an AI research intern - autonomous on bounded ML engineering tasks
    Source: https://www.adwaitx.com/ai-progress-recommendations-openai-2026-2028-timeline/; Sam Altman blog postsconf 60%
  4. 2026-10-18pendingQ2 window check-in (50%)
  5. 2027-01-11pendingQ3 window check-in (75%)
  6. 2026-06-01 → 2027-09-30pendingFrontier model exceeds human PhD-expert performance on FrontierMath benchmark
    How: A publicly evaluated frontier model surpasses 80% on FrontierMath (Tier-3 problems), exceeding measured PhD-mathematician baseline (~25%)
    Source: Epoch AI FrontierMath leaderboard; OpenAI / Google DeepMind / Anthropic system cardsconf 70%
  7. 2026-09-01 → 2027-12-31pendingAI system surpasses median-IQ humans across composite benchmarks (>=120 IQ-equivalent)
    How: A frontier model scores at >=120 IQ-equivalent on Mensa-style composite testing (per Maxim Lott's tracking site or peer-reviewed equivalent)
    Source: trackingai.org; Maxim Lott IQ AI trackerconf 55%
  8. 2027-01-01 → 2027-09-30pendingIndependent expert panel declares one major capability domain 'incomprehensibly' beyond top human
    How: At least one credentialed expert panel (Fields medalists, Nobel laureates, or NAS) publicly states that frontier AI in a domain (math/coding/protein folding) operates at a level humans cannot meaningfully evaluate
    Source: NAS reports; Fields Medal symposium statementsconf 40%
    Notes: Cascade - Musk's literal claim ('impossible to fully understand') needs an evaluator-class admission of evaluation failure.

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: 36%)

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
LBP2026-05-17T02:00:01Z35.9%-1.4pp
Network propagation: 37.3% → 35.9%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z37.3%-2.8pp
Network propagation: 40.1% → 37.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.1%-5.8pp
Network propagation: 45.9% → 40.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z45.9%-1.4pp
Network propagation: 47.3% → 45.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z47.3%-2.7pp
Network propagation: 50.0% → 47.3%
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
prereqS_AGI_FAST_2027
AGI fast: drop-in remote worker by 2027-09
30.0%0.5000.050-0.174
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.096
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.074

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

21 ticker(s) linked

Beneficiaries (14)

SOUNNVDAGTLBAIBBAITCEHYAMZNBABAGOOGLIBMMETAMSFTORCLSHOP

Adverse (7)

ACNCTSHFRSHCHGGIBMINFYPEGA

Prerequisites (3)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=N5KCm_55xeQ",
  "mode": "PROPHECY",
  "role": "Guest-CEO",
  "context": "people don't don't quite understand just how much intelligence there will be or you know just how far it will exceed human intelligence",
  "verbatim": "people don't don't quite understand just how much intelligence there will be or you know just how far it will exceed human intelligence to a degree that is uh impossible to fully understand.",
  "conv_cues": "direct assertion",
  "direction": "UP",
  "timeframe": "future, unspecified",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Sam Altman publicly states AGI 'feels close' or equivalent",
      "notes": "HIT - Altman 2026-02-22 statement that AGI feels 'pretty close at this point' is exactly the rhetorical milestone Musk anticipated.",
      "source": "https://www.theneuron.ai/explainer-articles/openais-vision-for-2026-sam-altman-lays-out-the-roadmap/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.theneuron.ai/explainer-articles/openais-vision-for-2026-sam-altman-lays-out-the-roadmap/",
      "expected_date": "2026-02-22",
      "observed_date": "2026-02-22",
      "research_origin": "deep_research",
      "measurement_criterion": "Sam Altman publicly states (X/blog/interview) that AGI feels 'pretty close' or equivalent superlative"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2026-07-24",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "OpenAI declares 'AI research intern' capability internally achieved",
      "source": "https://www.adwaitx.com/ai-progress-recommendations-openai-2026-2028-timeline/; Sam Altman blog posts",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://www.adwaitx.com/ai-progress-recommendations-openai-2026-2028-timeline/",
      "expected_date": "2026-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "OpenAI publicly states (per its 2026 roadmap target) that an internal model functions at the level of an AI research intern - autonomous on bounded ML engineering tasks"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-10-18",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-01-11",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier model exceeds human PhD-expert performance on FrontierMath benchmark",
      "source": "Epoch AI FrontierMath leaderboard; OpenAI / Google DeepMind / Anthropic system cards",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://epoch.ai/frontiermath",
      "expected_date": "2027-01-30",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-09-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "A publicly evaluated frontier model surpasses 80% on FrontierMath (Tier-3 problems), exceeding measured PhD-mathematician baseline (~25%)"
    },
    {
      "kind": "event",
      "label": "AI intelligence will far exceed human intelligence to incomprehensible degree",
      
... (truncated)