← Cockpit
CMQ_006predictionBiotech/LongevityAI-science

Expert-level AI applied to biology/medicine will yield cures for cancer and Alzheimer's within 5-10 years, compressing a century of progress into a decade.

Predictor: Dario Amodei

Prior probability
30.0%
Current probability
36.2%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
pending
Window
2031-01-01 – 2036-09-30
Edges in / out
0 / 1
Tickers exposed
21

Prediction text

Expert-level AI applied to biology/medicine will yield cures for cancer and Alzheimer's within 5-10 years, compressing a century of progress into a decade. | Phase III trials for AI-designed therapeutics

Key catalyst: Phase III trials for AI-designed therapeutics

Watch events: Alzheimer disease-modifying drug approvals; oncology complete-response rates; AI-designed clinical candidate count.

Resolution evidence

Status: pending

AlphaFold, Isomorphic Labs, and AI-designed biologics pipelines accelerating; GLP-1 class showed what rapid bio-progress looks like.

Predictor: Dario Amodei

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0363
excellent
Hits / Misses
1 / 0
of 3 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dario Amodei 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: fda_breakthrough_label

Linked via embedding similarity 0.647

FDA breakthrough designation → approval within 4 years

Base rate
39.0%
78/200 historical
Inside weight
0.300
TRF=1.00
Outside weight
0.700
pulling toward base rate
inside 30.0% → blend 36.2% 6.2pp)

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

1 prob_history rows
0%25%50%75%100%prior 30%2026-04-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 36.2%

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: 9 pending
  1. 2026-04-01 → 2029-12-31pendingAnthropic publishes follow-up to 'Machines of Loving Grace' or specific biotech roadmap update
    How: Amodei or Anthropic publishes essay, paper, or roadmap reaffirming or materially revising 5-10 year compressed-century thesis with measurable progress markers
    Source: https://techcrunch.com/2024/10/11/anthropic-ceo-goes-full-techno-optimist-in-15000-word-paean-to-ai/conf 70%
  2. 2026-09-01 → 2029-12-31pendingFirst AI-designed therapeutic enters Phase 3 trial for cancer or Alzheimer's
    How: ClinicalTrials.gov registration of Phase 3 trial where AI (Isomorphic Labs, Recursion, Insilico, BenevolentAI) is credited as primary discovery/design tool for cancer or Alzheimer's indication
    Source: https://intuitionlabs.ai/articles/dario-amodei-demis-hassabis-jensen-huang-compressing-a-century-of-biology-into-a-decadeconf 60%
  3. 2026-06-01 → 2030-12-31pendingAlphaFold-class biology breakthrough beyond protein folding (e.g., full cellular simulation, virtual cell)
    How: Peer-reviewed Nature/Science publication of AI-driven full-cell or whole-organ simulation system at near-AlphaFold accuracy/utility
    Source: https://www.scientificamerican.com/article/one-of-the-biggest-problems-in-biology-has-finally-been-solved/conf 50%
  4. 2027-01-01 → 2031-12-31pendingFDA approval of any AI-discovered/designed cancer therapeutic
    How: FDA approval letter or press release for therapeutic where AI is credited as critical to discovery or design pathway, with cancer indication
    Source: https://www.darioamodei.com/essay/machines-of-loving-graceconf 55%
  5. 2027-01-01 → 2031-12-31pendingFirst disease-modifying Alzheimer's therapeutic with AI-designed mechanism enters Phase 2
    How: ClinicalTrials.gov Phase 2 registration for Alzheimer's therapeutic with AI-discovery attribution, distinct from existing antibody mechanisms
    Source: https://www.rapamycin.news/t/dario-amodei-near-term-predictions-on-ai-advancing-science/16844conf 45%
  6. 2031-12-30pendingQ1 window check-in (25%)
  7. 2032-12-28pendingQ2 window check-in (50%)
  8. 2030-01-01 → 2036-12-31pendingCascade: First FDA approval claim of AI-discovered Alzheimer's disease-modifying therapeutic with measurable cognitive benefit
    How: FDA approval letter of Alzheimer's drug with demonstrated cognitive-decline reversal/halt and AI in critical-path discovery attribution
    Source: https://www.marketingaiinstitute.com/blog/anthropic-dario-amodei-essayconf 35%
  9. 2033-12-26pendingQ3 window check-in (75%)

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: 36%)

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
legacy v12026-04-30T01:56:50Z36.2%+6.2pp
reference_class_assigned bayesian_v2 inside=0.300 blend=0.362 w_in=0.30 fda_breakthrough_label

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

No incoming edges.

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq233_015
Infinite longevity is coming for this generation of kids.Peter Diamandis
37.6%0.6500.050-0.109

Ticker exposure

21 ticker(s) linked

Beneficiaries (20)

ABCLABSIEXASGHILMNNNOXNTRARLAYRXRXSDGRTEMBFLYPHGMDTBNTXABTGEHCSMMNYGOOGLHOLX

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (1)

Predictions enabled by this
TypePredTitleDomainLag
prereq233_015Infinite longevity is coming for this generation of kids.Biotech/Longevity

Linked documents (10)

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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "cancer/Alzheimer cures",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "caveats": "Clinical-trial timelines and regulatory approval remain rate-limiting even with AI-accelerated discovery.",
  "context": "Amodei's 'decade of biological progress' thesis; implies Alzheimer/cancer breakthroughs in 2031-2036 window.",
  "to_year": 2036,
  "conv_cues": "will; CEO; specific diseases",
  "direction": "HAPPEN",
  "from_year": 2031,
  "timeframe": "5-10 years",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Anthropic publishes follow-up to 'Machines of Loving Grace' or specific biotech roadmap update",
      "source": "https://techcrunch.com/2024/10/11/anthropic-ceo-goes-full-techno-optimist-in-15000-word-paean-to-ai/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2028-02-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-12-31",
        "from": "2026-04-01"
      },
      "measurement_criterion": "Amodei or Anthropic publishes essay, paper, or roadmap reaffirming or materially revising 5-10 year compressed-century thesis with measurable progress markers"
    },
    {
      "kind": "llm_pre_event",
      "label": "First AI-designed therapeutic enters Phase 3 trial for cancer or Alzheimer's",
      "source": "https://intuitionlabs.ai/articles/dario-amodei-demis-hassabis-jensen-huang-compressing-a-century-of-biology-into-a-decade",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.6,
      "expected_date": "2028-05-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2029-12-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "ClinicalTrials.gov registration of Phase 3 trial where AI (Isomorphic Labs, Recursion, Insilico, BenevolentAI) is credited as primary discovery/design tool for cancer or Alzheimer's indication"
    },
    {
      "kind": "llm_pre_event",
      "label": "AlphaFold-class biology breakthrough beyond protein folding (e.g., full cellular simulation, virtual cell)",
      "source": "https://www.scientificamerican.com/article/one-of-the-biggest-problems-in-biology-has-finally-been-solved/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2028-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2030-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Peer-reviewed Nature/Science publication of AI-driven full-cell or whole-organ simulation system at near-AlphaFold accuracy/utility"
    },
    {
      "kind": "llm_pre_event",
      "label": "FDA approval of any AI-discovered/designed cancer therapeutic",
      "source": "https://www.darioamodei.com/essay/machines-of-loving-grace",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2029-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2031-12-31",
        "from": "2027-01-01"
      },
      "measurement_criterion": "FDA approval letter or press release for therapeutic where AI is credited as critical to discovery or design pathway, with cancer indication"
    },
    {
      "kind": "llm_pre_event",
      "label": "First disease-modifying Alzheimer's therapeutic with AI-designed mechanism enters Phase 2",
      "source": "https://www.rapamycin.news/t/dario-amodei-near-term-predictions-on-ai-advancing-science/16844",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.45,
      "expected_date": "2029-07-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "20
... (truncated)