← Cockpit
IND_004predictionAIAGI-decade-away-2-percent-blend

True AGI remains approximately a decade away (circa 2034) — AGI will NOT manifest as sudden uncontrollable explosion; will smoothly 'blend into the previous ~2.5 centuries of 2% GDP growth'. Labor markets will adapt through traditional economic absorpt...

Predictor: Andrej Karpathy

Prior probability
50.0%
Current probability
42.8%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2034-01-01 – 2034-09-30
Edges in / out
9 / 0
Tickers exposed
0

Prediction text

True AGI remains approximately a decade away (circa 2034) — AGI will NOT manifest as sudden uncontrollable explosion; will smoothly 'blend into the previous ~2.5 centuries of 2% GDP growth'. Labor markets will adapt through traditional economic absorption mechanisms rather than overnight structural collapse. | Dwarkesh-cohort AGI-timeline convergence trend

Key catalyst: Dwarkesh-cohort AGI-timeline convergence trend

Watch events: GDP growth rate attribution to AI; frontier-model capability vs GDP gap

Resolution evidence

Status: pending

Karpathy Dwarkesh Oct 2025 interview makes case; aligns with Hassabis 2030-35 cohort. Directly contradicts Aschenbrenner 2027 (ROB_001) and Amodei Powerful AI 2026-27 (AUT_009).

Predictor: Andrej Karpathy

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0067
excellent
Hits / Misses
3 / 0
of 3 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Andrej Karpathy 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: agi_breakthrough_5y

Linked via embedding similarity 0.612

Major capability discontinuity (e.g. AGI by named target year, 5-year horizon)

Base rate
20.0%
1/5 historical
Inside weight
Outside weight
no pull
inside 42.8% → blend 42.8% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

7 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-04-302026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 42.8%

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: 10 pending
  1. 2026-06-01 → 2028-12-31pendingKarpathy reaffirms or materially revises decade-away AGI claim in subsequent interview
    How: Karpathy public interview, blog post, or conference talk where he restates AGI timeline with explicit numeric horizon, allowing direct comparison to Oct 2025 Dwarkesh framing
    Source: https://www.dwarkesh.com/p/andrej-karpathyconf 85%
  2. 2026-01-01 → 2030-12-31pendingGlobal GDP year-over-year growth remains within 1.5%-3.5% band through 2030
    How: World Bank / IMF annual global real GDP growth prints stay within 1.5%-3.5% each year (no AI-driven spike to >5% growth)
    Source: https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2025/gen-ai-economic-growth.pdfconf 75%
  3. 2026-01-01 → 2030-12-31pendingBLS or OECD reports show no extreme spike in unemployment (>5% YoY swing) attributable to AI through 2030
    How: Annual US BLS unemployment data and OECD employment outlooks: no calendar year shows >5% unemployment-rate jump attributed primarily to AI displacement
    Source: https://tecunningham.github.io/posts/2025-10-19-forecasts-of-AI-growth.htmlconf 65%
  4. 2027-01-01 → 2031-12-31pendingComposition of global GDP: AI-related capex+revenue exceeds 5% of global GDP
    How: OECD, IMF, or McKinsey-style aggregate estimate places AI-related capex+revenue >=5% of global GDP, validating Karpathy's 'composition shifts beneath stable curve' claim
    Source: https://lifeboat.com/blog/2025/10/agi-is-still-a-decade-awayconf 70%
  5. 2030-01-01 → 2034-12-31pendingMajor frontier lab (OpenAI, Anthropic, DeepMind, xAI) publicly claims AGI achievement with measurable economic impact citation
    How: Lab releases system claimed as AGI/drop-in remote worker, with documented deployment showing labor-substitution economics (>1M displaced or augmented roles, audited)
    Source: https://www.theneuron.ai/explainer-articles/andrej-karpathy-told-dwarkesh-that-agi-is-still-a-decade-awayconf 50%
  6. 2032-01-01 → 2035-12-31pendingCascade: 'AGI' is publicly declared by 1+ frontier labs, but global GDP growth stays under 5% in declaration year and following year
    How: If/when an AGI-declaration milestone fires, the World Bank global real GDP growth print for that calendar year and the next remain <5% — directly testing the smooth-blend thesis
    Source: https://x.com/dwarkesh_sp/status/1979234976777539987conf 55%
  7. 2034-02-19pendingQ1 window check-in (25%)
  8. 2034-04-09pendingQ2 window check-in (50%)
  9. 2034-05-28pendingQ3 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: 43%)

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
LBP2026-05-17T02:00:01Z42.8%+1.2pp
Network propagation: 41.6% → 42.8%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z41.6%+2.3pp
Network propagation: 39.3% → 41.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z39.3%+4.4pp
Network propagation: 34.9% → 39.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z34.9%+7.4pp
Network propagation: 27.5% → 34.9%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
legacy v12026-04-30T16:13:50Z27.5%-7.7pp
reference_class_assigned bayesian_v2 inside=0.500 blend=0.275 w_in=0.30 agi_breakthrough_5y
LBP2026-04-30T02:18:57Z35.2%+7.7pp
Network propagation: 27.5% → 35.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef
legacy v12026-04-30T01:56:50Z27.5%-22.5pp
reference_class_assigned bayesian_v2 inside=0.500 blend=0.275 w_in=0.30 agi_breakthrough_5y

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
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.027
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.005

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Prerequisites (9)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_ASI_SLOW_2040PLUSASI slow: post-2040 / soft takeoffasi_recursive_self_improvement
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
correlateS_ASI_MID_2034ASI mid: Schmidt 'ASI in 6 years'asi_recursive_self_improvement
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
correlateS_AGI_SLOW_2031AGI slow: Schmidt/Hassabis 5-10 year pathagi_general_capability
correlateS_ASI_FAST_2031ASI fast: RSI within 5y of AGIasi_recursive_self_improvement
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 (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.651manifoldWill the United States unemployment rate exceed 30% any time before 2040?30%mentionspending2026-05-24
0.568polymarketJeffrey Epstein confirmed to be alive before 2027?2%mentionspending2025-12-29

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "~10yr from 2024; 2% GDP blend",
  "mode": "FORECAST",
  "role": "Cited-Other",
  "context": "Critical Karpathy conservative anchor. Distinct from AUT_003 (vibe coding), AI_010 (Slopacolypse). Explicit contrast with Aschenbrenner 2027, Amodei 2026-27, Hassabis 2030-35.",
  "to_year": 2034,
  "conv_cues": "Karpathy FIRST_PERSON; specific historical-GDP framing",
  "direction": "HAPPEN",
  "from_year": 2034,
  "timeframe": "~2034",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Karpathy reaffirms or materially revises decade-away AGI claim in subsequent interview",
      "source": "https://www.dwarkesh.com/p/andrej-karpathy",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.85,
      "expected_date": "2027-09-16",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Karpathy public interview, blog post, or conference talk where he restates AGI timeline with explicit numeric horizon, allowing direct comparison to Oct 2025 Dwarkesh framing"
    },
    {
      "kind": "llm_pre_event",
      "label": "Global GDP year-over-year growth remains within 1.5%-3.5% band through 2030",
      "source": "https://kpmg.com/kpmg-us/content/dam/kpmg/pdf/2025/gen-ai-economic-growth.pdf",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.75,
      "expected_date": "2028-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2026-01-01"
      },
      "measurement_criterion": "World Bank / IMF annual global real GDP growth prints stay within 1.5%-3.5% each year (no AI-driven spike to >5% growth)"
    },
    {
      "kind": "llm_pre_event",
      "label": "BLS or OECD reports show no extreme spike in unemployment (>5% YoY swing) attributable to AI through 2030",
      "source": "https://tecunningham.github.io/posts/2025-10-19-forecasts-of-AI-growth.html",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2028-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2026-01-01"
      },
      "measurement_criterion": "Annual US BLS unemployment data and OECD employment outlooks: no calendar year shows >5% unemployment-rate jump attributed primarily to AI displacement"
    },
    {
      "kind": "llm_pre_event",
      "label": "Composition of global GDP: AI-related capex+revenue exceeds 5% of global GDP",
      "source": "https://lifeboat.com/blog/2025/10/agi-is-still-a-decade-away",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2029-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2031-12-31",
        "from": "2027-01-01"
      },
      "measurement_criterion": "OECD, IMF, or McKinsey-style aggregate estimate places AI-related capex+revenue >=5% of global GDP, validating Karpathy's 'composition shifts beneath stable curve' claim"
    },
    {
      "kind": "llm_pre_event",
      "label": "Major frontier lab (OpenAI, Anthropic, DeepMind, xAI) publicly claims AGI achievement with measurable economic impact citation",
      "source": "https://www.theneuron.ai/explainer-articles/andrej-karpathy-told-dwarkesh-that-agi-is-still-a-decade-away",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2032-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2034-12-31",
        "from": "2030-01-01"
      },
      "measurement_criterion": "Lab releases system claime
... (truncated)