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239_032predictionAIAGI

Progress in AI will continue as series of overlapping S-curves

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

Prior probability
55.0%
Current probability
40.2%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2027-09-30
Edges in / out
6 / 0
Tickers exposed
21

Prediction text

Progress in AI will continue as series of overlapping S-curves | progress in AI is just a sort of series of you know sort of overlapping S-curves

Verbatim quote

From episode "Elon Musk: The Economy Will Be 10x the Size in 10 Years | #239"
progress in AI is just a sort of series of you know sort of overlapping S-curves

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 55%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 40.2%

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 ✓ · 6 pending
  1. 2026-02-25hitGPT-5.x family launched signalling completion of one S-curve
    How: OpenAI launches GPT-5 family (5, 5.2, 5.3-Codex) demonstrating the full pretrain-scaling S-curve completion before transitioning to reasoning-focused S-curve
    Source: https://i10x.ai/news/openai-2026-ai-roadmap-gpt-5-models; OpenAI blogconf 95%
    Notes: HIT - GPT-5, 5.2, 5.3-Codex public; reasoning models (o-series) and Codex denote second S-curve onset.
  2. 2026-07-28pendingQ1 window check-in (25%)
  3. 2026-06-01 → 2026-12-31pendingPublished AI capability progress chart shows visible second S-curve onset (reasoning models)
    How: Independent benchmark trackers (Epoch AI, Artificial Analysis) publish visualizations showing two distinct S-curves: pretrain scaling plateau and reasoning/RL scaling onset
    Source: https://epoch.ai/data; Artificial Analysis quarterly reportsconf 80%
  4. 2026-10-25pendingQ2 window check-in (50%)
  5. 2026-06-01 → 2027-06-30pendingRL-from-verifiable-reward / reasoning S-curve produces measurable benchmark step-up
    How: A reasoning-trained model achieves a >=15-pp benchmark gain (FrontierMath, ARC-AGI, SWE-bench Verified) over the prior pretrain-only state-of-the-art within a single model generation
    Source: FrontierMath, ARC-AGI, SWE-bench Verified leaderboardsconf 85%
    Notes: Reasoning is the second S-curve Musk implicitly described.
  6. 2027-01-22pendingQ3 window check-in (75%)
  7. 2026-06-01 → 2027-09-30pendingPublic capability-progress narrative shifts from 'chinchilla scaling' to 'overlapping curves'
    How: Top AI commentators (Karpathy, Yudkowsky, Tegmark, Hinton) and major outlets (Bloomberg, FT, NYT) shift framing from single-curve scaling to multi-curve composition in published interviews / pieces
    Source: Mainstream press analysis; AI thought-leader X postsconf 55%
  8. 2026-12-01 → 2027-09-30pendingDiffusion / world-model-based architecture launches as third S-curve
    How: A frontier lab publicly launches a model architecture explicitly framed as a third S-curve (world models, diffusion-language hybrids, neuro-symbolic) with benchmark validation
    Source: DeepMind, OpenAI, Meta FAIR research blogsconf 45%

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: 40%)

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
LBP2026-05-17T02:00:01Z40.2%-1.3pp
Network propagation: 41.5% → 40.2%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z41.5%-2.6pp
Network propagation: 44.1% → 41.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z44.1%-5.3pp
Network propagation: 49.4% → 44.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z49.4%-2.6pp
Network propagation: 52.0% → 49.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z52.0%-3.0pp
Network propagation: 55.0% → 52.0%
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%0.5500.050-0.202
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.550+0.098
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.550+0.073

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

21 ticker(s) linked

Beneficiaries (14)

SOUNNVDAGTLBAIBBAITCEHYAMZNBABAGOOGLIBMMETAMSFTORCLSHOP

Adverse (7)

ACNCTSHFRSHCHGGIBMINFYPEGA

Prerequisites (6)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
correlateS_AGI_SLOW_2031AGI slow: Schmidt/Hassabis 5-10 year pathagi_general_capability
correlateS_AGI_WINTER_2036PLUSAGI delayed: capability plateau or AI winteragi_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

Linked documents (7)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.627arxivProbing for Representation Manifolds in Superpositionmentionspending2026-05-18
0.598arxivConsistent Geometric Deep Learning via Hilbert Bundles and Cellular Sheavesmentionspending2026-05-07
0.583arxivFlow Matching on Symmetric Spacesmentionspending2026-05-05
0.576arxivString dualities and wedge singularitiesmentionspending2026-06-03
0.551arxivQuiver Approach to Symmetry Theoriesmentionspending2026-05-28
0.545arxivDouble twist knots and lattice pathsmentionspending2026-05-04
0.533arxivAutomorphic Structures of Heterotic Vacuamentionspending2026-05-06

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=N5KCm_55xeQ",
  "mode": "THESIS",
  "role": "Guest-CEO",
  "context": "progress in AI is just a sort of series of you know sort of overlapping S-curves",
  "verbatim": "progress in AI is just a sort of series of you know sort of overlapping S-curves",
  "direction": "UP",
  "timeframe": "ongoing",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "GPT-5.x family launched signalling completion of one S-curve",
      "notes": "HIT - GPT-5, 5.2, 5.3-Codex public; reasoning models (o-series) and Codex denote second S-curve onset.",
      "source": "https://i10x.ai/news/openai-2026-ai-roadmap-gpt-5-models; OpenAI blog",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://i10x.ai/news/openai-2026-ai-roadmap-gpt-5-models",
      "expected_date": "2026-04-30",
      "observed_date": "2026-02-25",
      "research_origin": "deep_research",
      "measurement_criterion": "OpenAI launches GPT-5 family (5, 5.2, 5.3-Codex) demonstrating the full pretrain-scaling S-curve completion before transitioning to reasoning-focused S-curve"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-07-28",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Published AI capability progress chart shows visible second S-curve onset (reasoning models)",
      "source": "https://epoch.ai/data; Artificial Analysis quarterly reports",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.8,
      "source_url": "https://epoch.ai/data",
      "expected_date": "2026-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Independent benchmark trackers (Epoch AI, Artificial Analysis) publish visualizations showing two distinct S-curves: pretrain scaling plateau and reasoning/RL scaling onset"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2026-10-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "RL-from-verifiable-reward / reasoning S-curve produces measurable benchmark step-up",
      "notes": "Reasoning is the second S-curve Musk implicitly described.",
      "source": "FrontierMath, ARC-AGI, SWE-bench Verified leaderboards",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.85,
      "expected_date": "2026-12-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "A reasoning-trained model achieves a >=15-pp benchmark gain (FrontierMath, ARC-AGI, SWE-bench Verified) over the prior pretrain-only state-of-the-art within a single model generation"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-01-22",
      "observed_date": null
    },
    {
      "kind": "llm_post_event",
      "label": "Public capability-progress narrative shifts from 'chinchilla scaling' to 'overlapping curves'",
      "source": "Mainstream press analysis; AI thought-leader X posts",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-01-30",
      "research_origin": "training",
      "e
... (truncated)