← Cockpit
IND_009predictionBiotech/LongevityASI-2030-cure-all-illnesses

Artificial Superintelligence arrives by roughly 2030 — shortly thereafter all human illnesses will be cured 'much sooner than we think'; mechanism: AI not just predicting protein structures but generating novel biological designs revolutionizing drug d...

Predictor: Demis Hassabis

Prior probability
20.0%
Current probability
18.9%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2030-01-01 – 2040-06-30
Edges in / out
1 / 0
Tickers exposed
13

Prediction text

Artificial Superintelligence arrives by roughly 2030 — shortly thereafter all human illnesses will be cured 'much sooner than we think'; mechanism: AI not just predicting protein structures but generating novel biological designs revolutionizing drug discovery and personalized medicine. Human cybernetic augmentation and synthetic organ generation follow closely behind disease eradication. | First ASI-designation consensus event

Key catalyst: First ASI-designation consensus event

Watch events: Isomorphic Labs drug-approval milestones; ASI capability benchmarks

Resolution evidence

Status: pending

AlphaFold + Isomorphic Labs drug-design validate framework; ASI-by-2030 aggressive even for Hassabis cohort; "all illnesses cured" is maximalist framing.

Predictor: Demis Hassabis

κ + Brier as of 2026-05-22
κ (discount)
0.583
Brier
0.0064
excellent
Hits / Misses
1 / 0
of 1 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Demis Hassabis 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

1 prob_history rows
0%25%50%75%100%prior 20%2026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 18.9%

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: 9 pending
  1. 2027-01-01 → 2030-12-31pendingMajor frontier lab (DeepMind, OpenAI, Anthropic, xAI) publicly claims AGI achievement with ARC-AGI / GAIA / SWE-bench Verified scores at human expert level
    How: DeepMind / OpenAI / Anthropic public benchmark report or peer-reviewed paper where their model scores at or above human-expert level on widely-recognized AGI proxies (ARC-AGI, GAIA, SWE-bench Verified-multi-day, OSWorld) — Hassabis 2030 AGI prediction checkpoint
    Source: https://evolutionaihub.com/google-deepmind-secret-plan-2030-demis-hassabis/conf 55%
  2. 2027-06-01 → 2031-12-31pendingCumulative AI-discovered drug pipeline crosses 100 active clinical-stage programs across major AI biotech firms
    How: Aggregate count from Isomorphic, Recursion, Insitro, Insilico, Schrödinger, BenevolentAI, Exscientia of active Phase 1+ clinical programs derived from AI-led discovery exceeds 100 (vs. <30 today), per ClinicalTrials.gov registry queries and industry tracker (Endpoints, BiopharmaTrend)
    Source: https://opentools.ai/news/deepminds-bold-prediction-could-ai-eradicate-all-diseases-in-a-decadeconf 60%
  3. 2028-01-01 → 2033-12-31pendingFirst AI-discovered cure for previously incurable rare disease gains FDA Breakthrough Therapy designation
    How: FDA Breakthrough Therapy designation for therapeutic where lead candidate was AI-discovered (Isomorphic, Recursion, Insitro, Insilico, or successor) for an indication previously categorized as having no curative treatment
    Source: https://theindianpractitioner.com/demis-hassabis-predicts-end-of-all-disease-within-a-decade/conf 55%
  4. 2031-12-27pendingQ1 window check-in (25%)
  5. 2029-01-01 → 2034-12-31pendingDrug discovery cycle time benchmark drops from ~10 years to under 4 years for AI-led programs (industry-wide median)
    How: Tufts CSDD, BCG, McKinsey, or Nature Reviews Drug Discovery publishes benchmark study showing median time-to-IND for AI-led discovery programs <=4 years vs ~10-year baseline
    Source: https://bmmagazine.co.uk/tech/deepmind-chief-predicts-ai-could-cure-all-diseases-within-a-decade/conf 50%
  6. 2033-12-22pendingQ2 window check-in (50%)
  7. 2030-01-01 → 2038-12-31pendingFirst synthetic organ (lab-grown, AI-designed) successfully transplanted into human in approved clinical trial
    How: FDA-authorized clinical trial reports successful first-in-human transplant of synthetic / bioengineered organ (heart, kidney, liver, lung) where AI-designed scaffolding or cellular structure played decisive role in design
    Source: https://rorycellanjones.substack.com/p/can-ai-really-solve-all-diseasesconf 40%
  8. 2035-12-18pendingQ3 window check-in (75%)
  9. 2032-01-01 → 2040-06-30pendingCascade: WHO or major health body announces global cumulative >50% reduction in mortality from previously-fatal cancers
    How: WHO Global Health Estimates or NIH publishes that age-adjusted mortality from solid cancers (lung, pancreatic, glioblastoma, ovarian) has declined >=50% from 2025 baseline, partially attributable to AI-discovered therapeutics
    Source: https://www.science.org/content/blog-post/end-diseaseconf 35%

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: 19%)

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
LBP2026-04-30T02:18:57Z18.9%-1.1pp
Network propagation: 20.0% → 18.9%
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
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.200-0.011

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

13 ticker(s) linked

Beneficiaries (12)

ABCLDNARLAYRXRXSDGRABSIGOOGLABTBNTXGEHCMDTSMMNY

Prerequisites (1)

Predictions that must hit first
TypePredTitleDomainLag
killerTK01AGI Capability Plateau (2026-27 Training Stall)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (6)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Fourth Hassabis entry (AUT_012 world models 2030-35, ROB_004 solve physics, ROB_005 physical intelligence AGI, CYB_019 world models). Sharpens 247_033 (cure all disease decade) with specific ASI-2030 + cybernetic-augmentation framing.",
  "to_year": 2040,
  "conv_cues": "CEO FIRST_PERSON; specific ASI timing + disease-cure sequencing",
  "direction": "HAPPEN",
  "from_year": 2030,
  "timeframe": "2030-2040",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Major frontier lab (DeepMind, OpenAI, Anthropic, xAI) publicly claims AGI achievement with ARC-AGI / GAIA / SWE-bench Verified scores at human expert level",
      "source": "https://evolutionaihub.com/google-deepmind-secret-plan-2030-demis-hassabis/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://evolutionaihub.com/google-deepmind-secret-plan-2030-demis-hassabis/",
      "expected_date": "2028-12-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2027-01-01"
      },
      "measurement_criterion": "DeepMind / OpenAI / Anthropic public benchmark report or peer-reviewed paper where their model scores at or above human-expert level on widely-recognized AGI proxies (ARC-AGI, GAIA, SWE-bench Verified-multi-day, OSWorld) — Hassabis 2030 AGI prediction checkpoint"
    },
    {
      "kind": "llm_pre_event",
      "label": "Cumulative AI-discovered drug pipeline crosses 100 active clinical-stage programs across major AI biotech firms",
      "source": "https://opentools.ai/news/deepminds-bold-prediction-could-ai-eradicate-all-diseases-in-a-decade",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://opentools.ai/news/deepminds-bold-prediction-could-ai-eradicate-all-diseases-in-a-decade",
      "expected_date": "2029-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2031-12-31",
        "from": "2027-06-01"
      },
      "measurement_criterion": "Aggregate count from Isomorphic, Recursion, Insitro, Insilico, Schrödinger, BenevolentAI, Exscientia of active Phase 1+ clinical programs derived from AI-led discovery exceeds 100 (vs. <30 today), per ClinicalTrials.gov registry queries and industry tracker (Endpoints, BiopharmaTrend)"
    },
    {
      "kind": "llm_pre_event",
      "label": "First AI-discovered cure for previously incurable rare disease gains FDA Breakthrough Therapy designation",
      "source": "https://theindianpractitioner.com/demis-hassabis-predicts-end-of-all-disease-within-a-decade/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://theindianpractitioner.com/demis-hassabis-predicts-end-of-all-disease-within-a-decade/",
      "expected_date": "2030-12-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2033-12-31",
        "from": "2028-01-01"
      },
      "measurement_criterion": "FDA Breakthrough Therapy designation for therapeutic where lead candidate was AI-discovered (Isomorphic, Recursion, Insitro, Insilico, or successor) for an indication previously categorized as having no curative treatment"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2031-12-27",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Drug discovery cycle time benchmark drops from ~10 years to under 4 years for AI-led programs (industry-wide median)",
      "source": "https://bmmagazine.co.uk/tech/deepmind-chief-predict
... (truncated)