General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future...
Predictor: Jimmy Ba
Prediction text
General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research demonstrates scalable algorithms using latent imagination outperform traditional reinforcement learning; future AI systems will natively simulate and navigate complex 3D physical environments, serving as foundational cognitive architecture for embodied robotic labor. | Next world-model-RL capability release
Key catalyst: Next world-model-RL capability release
Watch events: Next DreamerV4 or successor architecture release
Resolution evidence
DreamerV3 published Nature 2025; DeepMind Genie 3 + Veo 3 operationalize world-model framework. Latent-imagination RL paradigm broadly adopted.
Predictor: Jimmy Ba
Calibration plot (stated vs observed)
Evidence about this node from Jimmy Ba 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
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2024-07-31overdueQ1 window check-in (25%)
- 2025-02-28overdueQ2 window check-in (50%)
- 2025-09-28overdueQ3 window check-in (75%)
No downstream cascades — this prediction is a leaf in the dependency graph.
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
{
"source": "backfill_resolution_history.py",
"status": "hit",
"bayesian_v2": false,
"outcome_prob": 1,
"evidence_kind": "resolution_terminal",
"posterior_prob": 1,
"delta_to_outcome": 0.19064000000000003,
"inside_posterior": 0.80936,
"validation_notes": "DreamerV3 published Nature 2025; DeepMind Genie 3 + Veo 3 operationalize world-model framework. Latent-imagination RL paradigm broadly adopted.",
"validation_status": "hit",
"pre_resolution_prob": 0.80936,
"resolution_evidence": "DreamerV3 published Nature 2025; DeepMind Genie 3 + Veo 3 operationalize world-model framework. Latent-imagination RL paradigm broadly adopted.",
"does_not_update_current_prob": true
}Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Prerequisites (2)
Dependents (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Validations (1)
| Observed at | Status | By | Notes |
|---|---|---|---|
| 2026-04-29 | hit | thesis_timeline_v1.0_import | DreamerV3 published Nature 2025; DeepMind Genie 3 + Veo 3 operationalize world-model framework. Latent-imagination RL paradigm broadly adopted. |
Linked documents (10)
Raw metadata
{
"nia": false,
"mode": "FORECAST",
"role": "Cited-Other",
"context": "Fifth Ba entry (232_013 recursive self-improvement, SEM_047 200K-GPU orchestration, ROB_013 language-to-actuation, AUT_017 agentic RL). Specific DreamerV3 + latent-imagination framing.",
"to_year": 2028,
"conv_cues": "researcher FIRST_PERSON; named model architecture",
"direction": "HAPPEN",
"from_year": 2024,
"timeframe": "2024-2028",
"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": "2024-07-31",
"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": "2025-02-28",
"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": "2025-09-28",
"observed_date": null,
"miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
"miss_emitted_by": "metadata_milestone_sweep"
},
{
"kind": "event",
"label": "General intelligence requires systems capable of solving tasks across multidimensional continuous domains — DreamerV3 + world-model research",
"status": "hit",
"weight": 1,
"ordinal": 0,
"source_id": "IND_013",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
}
],
"repeat_eps": 1,
"affiliation": "University of Toronto / Vector Institute",
"attribution": "FIRST_PERSON",
"granularity": "YEAR_RANGE",
"resolved_at": "2026-04-29T22:23:18.341382+00:00",
"source_refs": "17, 42",
"target_date": "2026-06-15T00:00:00",
"display_date": "2026-04-29",
"episode_date": "2026-04-22T00:00:00",
"key_catalyst": "Next world-model-RL capability release",
"parse_method": "YEAR_RANGE midpoint",
"domain_bucket": "AI",
"episode_title": "Research Report: AI Predictive Forensics Across Biotech, Labor, Edtech, and Frontier Sciences (2023-2026)",
"flag_repeated": false,
"in_5yr_window": true,
"source_report": "AI Predictions Across Industries.md (2026-04-22)",
"appears_in_eps": "IND-RPT",
"futurist_phase": "Phase 1 (2026)",
"is_macro_claim": false,
"total_mentions": 1,
"priority_weight": 3,
"report_evidence": "Anchor section: Jimmy Ba / Frontier Science.",
"active_end_month": "2028-12",
"recent_statement": "Ba 2024-2025 Vector Institute / Nature publications.",
"watch_events_raw": "Next DreamerV4 or successor architecture release",
"months_from_today": 2,
"probability_layer": "Higher (in-flight)",
"active_start_month": "2024-01",
"december_dispersal": {
"reason": "december_dispersal: domain=AI → 11/2028",
"new_date": "2028-11-30",
"old_date": "2028-12-31",
"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": "Ba world-model framings consistently validated.",
"contradicting_notes": "Sim-to-real transfer gap persists; world-model sample-efficiency still rate-limiting.",
"flag_near_term_2027": false,
"flag_high_conviction": false,
"milestones_derived_at": "2026-05-02T03:08:50.889225+00:00",
"reference_class_match": {
"top_n": [
{
"id": "agi_breakthrough_5y",
"cosine": 0.5314
}
],
"margin": 0.5314,
"best_id": "agi_breakthrough_5y",
"decision": "below_threshol