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
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
AlphaFold, Isomorphic Labs, and AI-designed biologics pipelines accelerating; GLP-1 class showed what rapid bio-progress looks like.
Predictor: Dario Amodei
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
FDA breakthrough designation → approval within 4 years
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
- 2026-04-01 → 2029-12-31pendingAnthropic publishes follow-up to 'Machines of Loving Grace' or specific biotech roadmap updateHow: Amodei or Anthropic publishes essay, paper, or roadmap reaffirming or materially revising 5-10 year compressed-century thesis with measurable progress markersSource: https://techcrunch.com/2024/10/11/anthropic-ceo-goes-full-techno-optimist-in-15000-word-paean-to-ai/conf 70%
- 2026-09-01 → 2029-12-31pendingFirst AI-designed therapeutic enters Phase 3 trial for cancer or Alzheimer'sHow: 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 indicationSource: https://intuitionlabs.ai/articles/dario-amodei-demis-hassabis-jensen-huang-compressing-a-century-of-biology-into-a-decadeconf 60%
- 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/utilitySource: https://www.scientificamerican.com/article/one-of-the-biggest-problems-in-biology-has-finally-been-solved/conf 50%
- 2027-01-01 → 2031-12-31pendingFDA approval of any AI-discovered/designed cancer therapeuticHow: FDA approval letter or press release for therapeutic where AI is credited as critical to discovery or design pathway, with cancer indicationSource: https://www.darioamodei.com/essay/machines-of-loving-graceconf 55%
- 2027-01-01 → 2031-12-31pendingFirst disease-modifying Alzheimer's therapeutic with AI-designed mechanism enters Phase 2How: ClinicalTrials.gov Phase 2 registration for Alzheimer's therapeutic with AI-discovery attribution, distinct from existing antibody mechanismsSource: https://www.rapamycin.news/t/dario-amodei-near-term-predictions-on-ai-advancing-science/16844conf 45%
- 2031-12-30pendingQ1 window check-in (25%)
- 2032-12-28pendingQ2 window check-in (50%)
- 2030-01-01 → 2036-12-31pendingCascade: First FDA approval claim of AI-discovered Alzheimer's disease-modifying therapeutic with measurable cognitive benefitHow: FDA approval letter of Alzheimer's drug with demonstrated cognitive-decline reversal/halt and AI in critical-path discovery attributionSource: https://www.marketingaiinstitute.com/blog/anthropic-dario-amodei-essayconf 35%
- 2033-12-26pendingQ3 window check-in (75%)
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
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
No incoming edges.
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 233_015 Infinite longevity is coming for this generation of kids. — Peter Diamandis | 37.6% | 0.650 | 0.050 | -0.109 |
Ticker exposure
Beneficiaries (20)
Prerequisites (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No prerequisites | ||||
Dependents (1)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 233_015 | Infinite longevity is coming for this generation of kids. | Biotech/Longevity | — |
Linked documents (10)
Raw metadata
{
"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)