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247_030predictionAIAI-scaling

GPT-6 breakthroughs in science worth hundreds of billions to trillions

Predictor: Peter Diamandis · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source

Prior probability
60.0%
Current probability
50.2%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2027-06-01 – 2027-06-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

GPT-6 breakthroughs in science worth hundreds of billions to trillions | I think the breakthroughs that come out of, you know, GPT6 being used for science are going to be worth hundreds of billions and trillions of dollars.

Verbatim quote

From episode "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247"
I think the breakthroughs that come out of, you know, GPT6 being used for science are going to be worth hundreds of billions and trillions of dollars.

Predictor: Peter Diamandis

κ + Brier as of 2026-05-22
κ (discount)
0.875
Brier
0.0367
excellent
Hits / Misses
10 / 0
of 15 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Peter Diamandis 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

4 prob_history rows
0%25%50%75%100%prior 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 50.2%

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: 5 fired ✓ · 3 pending
  1. 2026-09-01 → 2027-06-30pendingGPT-6 (or successor) public availability or research preview
    How: OpenAI announces GPT-6 or comparably-named successor model with public access, API, or research preview.
    Source: deep_research_enrichedconf 55%
  2. 2027-01-01 → 2027-06-30pendingFirst peer-reviewed scientific discovery primarily authored or driven by GPT-6-class model
    How: Nature/Science/Cell/PNAS publication where lead methodology cites a frontier LLM as primary discovery agent (drug, material, proof, etc.).
    Source: deep_research_enrichedconf 40%
  3. 2027-03-01 → 2027-06-30pendingPharma or materials company attributes >$1B value to AI-discovered candidate
    How: 10-Q/10-K or press release attributes >=$1B in pipeline value, license fee, or M&A premium to an AI-discovered asset.
    Source: deep_research_enrichedconf 30%
  4. 2027-06-17pendingPublic valuation marker for AI-science breakthrough
    How: Aggregate equity move or analyst valuation tied to a specific AI-driven scientific outcome reaches >=$100B (per Goldman/MS/JPM note or M&A activity).
    Source: deep_research_enrichedconf 25%

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: 50%)

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
LBP2026-05-10T02:00:02Z50.2%-1.2pp
Network propagation: 51.5% → 50.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.5%-1.9pp
Network propagation: 53.4% → 51.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.4%-2.9pp
Network propagation: 56.2% → 53.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.2%-3.8pp
Network propagation: 60.0% → 56.2%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.095
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.082
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.067
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.044
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.043

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050-0.046
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.016
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.015
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.005
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.001

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (10)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
prereqSEM_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq244_019Peter's son won't need a driver's license in 2 yearsAuto/Transport
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq242_031Most large companies' business models will be disrupted in 2-5 yearsMarkets/Stocks
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "Hundreds of billions to trillions",
  "url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
  "mode": "FORECAST",
  "role": "Host",
  "context": "the breakthroughs that come out of GPT6 being used for science are going to be worth hundreds of billions and trillions of dollars",
  "to_year": 2028,
  "verbatim": "I think the breakthroughs that come out of, you know, GPT6 being used for science are going to be worth hundreds of billions and trillions of dollars.",
  "conv_cues": "going to be worth",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "Future",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI ",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_029",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "GPT-6 (or successor) public availability or research preview",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-01-30",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "OpenAI announces GPT-6 or comparably-named successor model with public access, API, or research preview."
    },
    {
      "kind": "llm_pre_event",
      "label": "First peer-reviewed scientific discovery primarily authored or driven by GPT-6-class model",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.4,
      "expected_date": "2027-04-01",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2027-01-01"
      },
      "measurement_criterion": "Nature/Science/Cell/PNAS publication where lead methodology cites a frontier LLM as primary discovery agent (drug, material, proof, etc.)."
    },
    {
      "kind": "llm_post_event",
      "label": "Pharma or materials company attributes >$1B value to AI-discovered candidate",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.3,
      "expected
... (truncated)