AGI will arrive within a decade (by 2030) — driven primarily by massive raw compute deployment and neural-network scaling.
Predictor: Elon Musk
Prediction text
AGI will arrive within a decade (by 2030) — driven primarily by massive raw compute deployment and neural-network scaling. | xAI Colossus phase-2 scaling; Grok-6+ releases
Key catalyst: xAI Colossus phase-2 scaling; Grok-6+ releases
Watch events: xAI Colossus phase 2 deployment; Grok capability benchmarks; Tesla Dojo v2 disclosures.
Resolution evidence
xAI Colossus scale validates compute-first thesis; Tesla FSD v13/v14 and Optimus G3 demonstrate embodied AI progress.
Predictor: Elon Musk
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: agi_breakthrough_5y
Major capability discontinuity (e.g. AGI by named target year, 5-year horizon)
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
Milestone chain
- 2026-04-01hitAI inference cost-per-token falls 90%+ from early 2025 baselineHow: Per-token API pricing for equivalent-capability frontier models declines 90% or more vs early 2025 baselineSource: https://www.silicondata.com/blog/llm-cost-per-token — 90% collapse since early 2025conf 95%Notes: HIT — per-token prices have fallen 9x-900x/year per benchmark. Compute deflation supports the AGI-by-scaling thesis.
- 2026-11-24pendingQ1 window check-in (25%)
- 2026-06-01 → 2027-06-30pendingxAI Colossus phase-2 expansion confirmed for Grok 5+ trainingHow: xAI publicly confirms Colossus phase-2 buildout (1M+ GPU cluster) is operational and used for Grok 5 trainingSource: https://www.revolutioninai.com/2026/04/xai-grok-5-agi-10-trillion-parameters-explained.html — 10T parameter Grok 5 planconf 65%
- 2026-06-01 → 2028-06-30pendingFrontier model crosses 10T parametersHow: OpenAI, xAI, Google, Anthropic, or Meta confirms training a model 10 trillion parameters or larger (active or total)Source: Stanford AI Index, public lab disclosuresconf 55%
- 2026-06-01 → 2028-06-30pendingLeading AI lab publicly forecasts AGI within 24 monthsHow: Anthropic, OpenAI, or DeepMind CEO publicly claims AGI within 24 months with technical roadmapSource: Lab blog posts, Senate testimony, podcast appearancesconf 55%Notes: Amodei has already gestured at 2-3 year window in Senate testimony.
- 2027-10-17pendingQ2 window check-in (50%)
- 2028-09-08pendingQ3 window check-in (75%)
- 2029-01-01 → 2030-10-31pendingIndependent body (METR/Apollo/MIRI) confirms AGI achieved by 2030How: Independent technical assessment (METR, Apollo Research, AI Safety Institutes) confirms AGI threshold met before Oct 2030Source: AISI UK/US assessments, METR evaluationsconf 35%Notes: Kalshi prediction market: 40% chance OpenAI AGI by 2030. Hassabis: 50% by EOD.
What if this resolves?
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
Raw metadata
{
"trf": 0.9200856375517028,
"kappa": 0.6429,
"base_rate": 0.2,
"predictor": "Elon Musk",
"total_llr": 0.6931471805599453,
"bayesian_v2": true,
"prior_logit": -0.4387754681740146,
"bayes_factor": "1.6:1 favoring",
"blend_reason": "blend 36% inside / 64% outside (TRF=0.920, base_rate=0.200 from agi_breakthrough_5y)",
"inside_prior": 0.3920327893243986,
"kappa_source": "predictor_table",
"blend_applied": true,
"contributions": [
{
"llr": 0.6931471805599453,
"kappa": 0.6429,
"label": "Doubling-time acceleration extends Musk's AGI-by-2030 thesis support.",
"adjusted_llr": 0.4456243223819888
}
],
"evidence_kind": "intake_event_update",
"inside_source": "history_v2",
"inside_weight": 0.355940053713808,
"outside_weight": 0.644059946286192,
"posterior_prob": 0.2910233907608812,
"evidence_origin": "daily_intake",
"llm_suggestions": [
{
"polarity": "corroborates",
"status_change": "unchanged",
"evidence_strength": "moderate",
"delta_prob_suggestion": 0.03
}
],
"posterior_logit": 0.006848854207974209,
"predictor_brier": 0.01,
"evidence_doc_ids": [],
"inside_posterior": 0.5017122068591529,
"blended_posterior": 0.2910233907608812,
"reference_class_id": "agi_breakthrough_5y",
"total_adjusted_llr": 0.4456243223819888,
"predictor_n_resolved": 2
}Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Ticker exposure
Beneficiaries (13)
Prerequisites (7)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| correlate | S_GRID_50GW_2027 | 50GW dedicated AI/data center grid by Dec 2027 | energy_grid_expansion | — |
| correlate | S_AGI_FAST_2027 | AGI fast: drop-in remote worker by 2027-09 | agi_general_capability | — |
| correlate | S_AGI_SLOW_2031 | AGI slow: Schmidt/Hassabis 5-10 year path | agi_general_capability | — |
| correlate | S_AGI_WINTER_2036PLUS | AGI delayed: capability plateau or AI winter | agi_general_capability | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK02 | AI Compute Supply Shock (TSMC/Taiwan Disruption) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Linked documents (3)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.750 | codex_research_pack | NVIDIA - Rubin Platform, Open Models, Autonomous Driving at CES | — | corroborates | pending | 2026-01-06 |
| 0.750 | codex_research_pack | NVIDIA - Vera Rubin Opens Agentic AI Frontier | — | corroborates | pending | 2026-03-16 |
| 0.565 | manifold | Will Derek Thompson run for office by EOY 2030? | 30% | mentions | pending | 2026-04-28 |
Raw metadata
{
"nia": false,
"qty": "AGI",
"mode": "FORECAST",
"role": "Guest-CEO",
"context": "Musk's xAI Colossus (200K→1M H100-class GPUs) and Tesla Dojo represent his concrete bet on this thesis.",
"to_year": 2030,
"conv_cues": "within a decade; CEO-stated",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "within a decade",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "AI inference cost-per-token falls 90%+ from early 2025 baseline",
"notes": "HIT — per-token prices have fallen 9x-900x/year per benchmark. Compute deflation supports the AGI-by-scaling thesis.",
"source": "https://www.silicondata.com/blog/llm-cost-per-token — 90% collapse since early 2025",
"status": "hit",
"weight": 0.4,
"ordinal": -7,
"source_id": null,
"confidence": 0.95,
"source_url": "https://www.silicondata.com/blog/llm-cost-per-token",
"expected_date": "2026-07-02",
"observed_date": "2026-04-01",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2026-12-31",
"from": "2026-01-01"
},
"measurement_criterion": "Per-token API pricing for equivalent-capability frontier models declines 90% or more vs early 2025 baseline"
},
{
"kind": "quartile_checkpoint",
"label": "Q1 window check-in (25%)",
"status": "pending",
"weight": 0.05,
"ordinal": -6,
"source_id": null,
"expected_date": "2026-11-24",
"observed_date": null
},
{
"kind": "llm_pre_event",
"label": "xAI Colossus phase-2 expansion confirmed for Grok 5+ training",
"source": "https://www.revolutioninai.com/2026/04/xai-grok-5-agi-10-trillion-parameters-explained.html — 10T parameter Grok 5 plan",
"status": "pending",
"weight": 0.4,
"ordinal": -5,
"source_id": null,
"confidence": 0.65,
"source_url": "https://www.revolutioninai.com/2026/04/xai-grok-5-agi-10-trillion-parameters-explained.html",
"expected_date": "2026-12-15",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-06-30",
"from": "2026-06-01"
},
"measurement_criterion": "xAI publicly confirms Colossus phase-2 buildout (1M+ GPU cluster) is operational and used for Grok 5 training"
},
{
"kind": "llm_pre_event",
"label": "Frontier model crosses 10T parameters",
"source": "Stanford AI Index, public lab disclosures",
"status": "pending",
"weight": 0.4,
"ordinal": -4,
"source_id": null,
"confidence": 0.55,
"expected_date": "2027-06-16",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2028-06-30",
"from": "2026-06-01"
},
"measurement_criterion": "OpenAI, xAI, Google, Anthropic, or Meta confirms training a model 10 trillion parameters or larger (active or total)"
},
{
"kind": "llm_pre_event",
"label": "Leading AI lab publicly forecasts AGI within 24 months",
"notes": "Amodei has already gestured at 2-3 year window in Senate testimony.",
"source": "Lab blog posts, Senate testimony, podcast appearances",
"status": "pending",
"weight": 0.4,
"ordinal": -3,
"source_id": null,
"confidence": 0.55,
"expected_date": "2027-06-16",
"research_origin": "training",
"expected_date_range": {
"to": "2028-06-30",
"from": "2026-06-01"
},
"measurement_criterion": "Anthropic, OpenAI, or DeepMind CEO publicly claims AGI within 24 months with technical roadmap"
},
{
"kind": "quartile_checkpoint",
"label": "Q2 window check-in (50%)",
"status": "pending",
"weight": 0.05,
"ordinal": -2,
"source_id": null,
"expected_date": "2027-10-17",
"observed_date": null
},
{
"kind": "quartile_checkpoint",
"label": "Q3 window check-in (7
... (truncated)