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238_012predictionAIAI-scaling

OpenAI aspires to have 100 AI scientists winning 100 Nobel Prizes

Predictor: Kevin Weil · ep#238 "Meta Buys Moltbook, GPT 5.4, and Fruitfly Brain Upload | Moonshots Live at The Abundance Summit 238" · source

Prior probability
50.0%
Current probability
38.5%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
6 / 0
Tickers exposed
37

Prediction text

OpenAI aspires to have 100 AI scientists winning 100 Nobel Prizes | His statement was, 'I want a hundred scientists winning 100 Nobels.'

Watch events: OpenAI next funding round; IPO timing; revenue disclosures

Verbatim quote

From episode "Meta Buys Moltbook, GPT 5.4, and Fruitfly Brain Upload | Moonshots Live at The Abundance Summit 238"
His statement was, 'I want a hundred scientists winning 100 Nobels.'

Predictor: Kevin Weil

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0200
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Kevin Weil 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 50%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 38.5%

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: 1 fired ✓ · 4 pending
  1. 2026-04-17hitKevin Weil departs OpenAI; OpenAI for Science decentralized into other research teams
    How: Public Weil X-post + TechCrunch / CNBC confirmation of departure on April 17, 2026 — original 100-Nobels champion exits before milestone window matures
    Source: deep_research_enrichedconf 95%
  2. 2026-06-01 → 2026-12-31pendingOpenAI for Science 'Prism' (LaTeX/Cursor-for-scientists) tool ships to broader research community
    How: Prism (or successor) general availability for academic users beyond OpenAI partners; public sign-up / institutional access announcement
    Source: deep_research_enrichedconf 50%
  3. 2026-10-18pendingQ1 window check-in (25%)
  4. 2027-04-08pendingQ2 window check-in (50%)
  5. 2027-09-26pendingQ3 window check-in (75%)
  6. 2027-10-01 → 2028-10-31pendingFirst Nobel Prize awarded to laureate who publicly credits AI as a major collaborator
    How: Nobel committee citation or laureate Nobel lecture explicitly credits a frontier AI model (any lab) as having materially contributed to the breakthrough
    Source: deep_research_enrichedconf 35%
  7. 2028-10-01 → 2031-10-31pendingCumulative Nobel-credited AI partnerships reach 5+ within four annual cycles
    How: By end of 2031 Nobel cycle, at least 5 Nobel laureates across Chemistry / Physics / Medicine have publicly credited AI tools as material to their work; '100 Nobels' aspiration on credible runway only if cadence reached
    Source: deep_research_enrichedconf 20%

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: 38%)

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
LBP2026-05-10T02:00:02Z38.5%-1.6pp
Network propagation: 40.0% → 38.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z40.0%-3.1pp
Network propagation: 43.2% → 40.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z43.2%-2.3pp
Network propagation: 45.5% → 43.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z45.5%-4.5pp
Network propagation: 50.0% → 45.5%
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
prereqS_AGI_MID_2029
AGI mid: Kurzweil 2029 path
35.0%0.5000.050-0.177
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.070
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.500+0.061
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.048
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.500-0.042

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (6)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
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 (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.661manifoldWill any nobel laureate donate their brain to https://bexorg.com/ by eoy2039?30%mentionspending2026-05-28
0.659arxivCounterargument for Critical Thinking as Judged by AI and Humansmentionspending2026-05-06
0.655arxivSoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?mentionspending2026-05-28
0.639arxivStop Automating Peer Review Without Rigorous Evaluationmentionspending2026-05-04
0.631arxivPRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewingmentionspending2026-05-28
0.622gdeltgoogle gives openai 20 billion reasons to worry 2000752324mentionspending2026-04-30
0.621manifold$10m prize for 100m record claimed in 202719%mentionspending2026-05-28
0.604gdeltmentionspending2026-04-30
0.596manifoldWill abhishaike mahajan ever win the nobel prize?28%mentionspending2026-05-04
0.592manifoldWill isaak freeman become a nobel laureate?28%mentionspending2026-05-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "100 scientists winning 100 Nobels",
  "url": "https://www.youtube.com/watch?v=d__HRChE2ZE",
  "mode": "ASPIRATION",
  "role": "Cited-Executive",
  "context": "I asked Kevin Will, who is also on our stage, right, who's the VP of science. He's in charge of using all of OpenAI's capabilities to advance science. His statement was, 'I want a hundred scientists winning 100 Nobels.'",
  "cited_by": "Peter Diamandis",
  "verbatim": "His statement was, 'I want a hundred scientists winning 100 Nobels.'",
  "conv_cues": "I want",
  "direction": "NUMERIC_TARGET",
  "timeframe": "Future",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Kevin Weil departs OpenAI; OpenAI for Science decentralized into other research teams",
      "source": "deep_research_enriched",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://techcrunch.com/2026/04/17/kevin-weil-and-bill-peebles-exit-openai-as-company-continues-to-shed-side-quests/",
      "expected_date": "2026-04-17",
      "observed_date": "2026-04-17",
      "research_origin": "deep_research",
      "measurement_criterion": "Public Weil X-post + TechCrunch / CNBC confirmation of departure on April 17, 2026 — original 100-Nobels champion exits before milestone window matures"
    },
    {
      "kind": "llm_pre_event",
      "label": "OpenAI for Science 'Prism' (LaTeX/Cursor-for-scientists) tool ships to broader research community",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://www.technologyreview.com/2026/01/26/1131728/inside-openais-big-play-for-science/",
      "expected_date": "2026-09-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Prism (or successor) general availability for academic users beyond OpenAI partners; public sign-up / institutional access announcement"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-10-18",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-04-08",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2027-09-26",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "OpenAI aspires to have 100 AI scientists winning 100 Nobel Prizes",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "238_012",
      "expected_date": "2028-03-16",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "First Nobel Prize awarded to laureate who publicly credits AI as a major collaborator",
      "source": "deep_research_enriched",
      "status": "pending",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.35,
      "source_url": "https://www.technologyreview.com/2026/01/26/1131728/inside-openais-big-play-for-science/",
      "expected_date": "2028-04-16",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-10-31",
        "from": "2027-10-01"
      },
      "measurement_criterion": "Nobel committee citation or laureate Nobel lecture explicitly credits a frontier AI model (any lab) as having materially contributed to the breakthrough"
    }
... (truncated)