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AI_032predictionBiotech/LongevityAstromech-predictive-biology

Astromech (co-founded with Harvard geneticist George Church) will quickly become a trillion-dollar enterprise by applying AI to predictive biology — leveraging massive time-series genomic data from de-extinction projects to predict pathogen mutation pa...

Predictor: Ben Lamm

Prior probability
18.0%
Current probability
18.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2028-01-01 – 2035-09-30
Edges in / out
2 / 0
Tickers exposed
21

Prediction text

Astromech (co-founded with Harvard geneticist George Church) will quickly become a trillion-dollar enterprise by applying AI to predictive biology — leveraging massive time-series genomic data from de-extinction projects to predict pathogen mutation patterns and cancer resistance pathways, enabling preemptive drug development. | Astromech first pharma-partnership announcement

Key catalyst: Astromech first pharma-partnership announcement

Watch events: Astromech Series A funding; first preclinical validation

Resolution evidence

Status: pending

Astromech launched 2025-2026 via Colossal spin-out; Church academic credentials strong; trillion-dollar valuation aspirational.

Predictor: Ben Lamm

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0043
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Ben Lamm 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

0 prob_history rows
No probability history yet.

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: 3 pending
  1. 2029-04-29pendingQ1 window check-in (25%)
  2. 2030-08-27pendingQ2 window check-in (50%)
  3. 2031-12-25pendingQ3 window check-in (75%)

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: 18%)

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

No probability history yet. The first evidence will arrive via /api/intake or the daily milestone sweep / weekly LBP run.

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%0.0500.180-0.019
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.180-0.013

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

21 ticker(s) linked

Beneficiaries (20)

ABCLABSIEXASGHILMNNNOXNTRARLAYRXRXSDGRTEMBFLYPHGMDTBNTXABTGEHCSMMNYGOOGLHOLX

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.572arxivGC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomicsmentionspending2026-06-01

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "$1T valuation",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Lamm's second unicorn (distinct from Colossal de-extinction platform 245_xx series). Astromech applies evolutionary-pattern prediction to pharmaceutical R&D.",
  "to_year": 2035,
  "conv_cues": "specific valuation target; named scientific co-founder",
  "direction": "NUMERIC_TARGET",
  "from_year": 2028,
  "timeframe": "2028-2035",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2029-04-29",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2030-08-27",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2031-12-25",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Astromech (co-founded with Harvard geneticist George Church) will quickly become a trillion-dollar enterprise by applying AI to predictive b",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "AI_032",
      "expected_date": "2033-04-23",
      "observed_date": null
    }
  ],
  "repeat_eps": 1,
  "sub_domain": "Longevity",
  "affiliation": "Colossal Biosciences / Astromech",
  "attribution": "FIRST_PERSON",
  "granularity": "YEAR_RANGE",
  "source_refs": "61",
  "target_date": "2031-06-15T00:00:00",
  "display_date": "2033-04-23",
  "episode_date": "2026-04-21T00:00:00",
  "key_catalyst": "Astromech first pharma-partnership announcement",
  "parse_method": "YEAR_RANGE midpoint",
  "domain_bucket": "Biotech",
  "episode_title": "Forecasting the Inference Epoch: Expert AI Predictions & Macroeconomic Trajectories (2023-2026)",
  "flag_repeated": false,
  "in_5yr_window": false,
  "source_report": "AI Predictions Search Plan.md (2026-04-21)",
  "appears_in_eps": "AI-RPT",
  "futurist_phase": "Phase 3 (2029+)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "ps_cluster_tags": [
    "C10"
  ],
  "report_evidence": "Anchor section: Astromech and Predictive Biology.",
  "active_end_month": "2035-12",
  "recent_statement": "LA Weekly profile 2026.",
  "watch_events_raw": "Astromech Series A funding; first preclinical validation",
  "months_from_today": 62,
  "probability_layer": "Lower (speculative)",
  "active_start_month": "2028-01",
  "december_dispersal": {
    "reason": "december_dispersal: domain=Biotech/Longevity → 09/2035",
    "new_date": "2035-09-30",
    "old_date": "2035-12-31",
    "applied_at": "2026-04-30T16:28:34.304992+00:00"
  },
  "flag_nia_bracketed": false,
  "track_record_grade": "B",
  "track_record_notes": "Lamm Colossal execution strong; Astromech valuation target speculative.",
  "contradicting_notes": "Pharma R&D productivity gains historically slower than AI-forecaster expectations; Recursion, Insitro, Xaira similar players competing.",
  "flag_near_term_2027": false,
  "flag_high_conviction": false,
  "milestones_phase2_at": "2026-05-01T21:26:03.399258+00:00",
  "milestones_derived_at": "2026-05-02T03:08:50.509654+00:00",
  "reference_class_match": {
    "top_n": [
      {
        "id": "agi_breakthrough_5y",
        "cosine": 0.4991
      }
    ],
    "margin": 0.4991,
    "best_id": "agi_breakthrough_5y",
    "decision": "below_threshold",
    "second_id": null,
    "threshold": 0.55,
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_similarity": 0.4991,
    "margin_required": 0.05,
    "second_similarity": null
  },
  "validation_status_raw": "PENDING-UNCERTAIN",
  "