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234_006predictionAIAI-timing

Over the next 10 years, substantially all important science and engineering problems will get solved

Predictor: Alex Wissner-Gross · ep#234 "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced" · source

Prior probability
50.0%
Current probability
43.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-01-01 – 2036-09-30
Edges in / out
7 / 3
Tickers exposed
33

Prediction text

Over the next 10 years, substantially all important science and engineering problems will get solved | Peter, you and I with our recent book/extended essay, Solve Everything, talk all about how we think over the next 10 years substantially all of the the most important, valuable science and engineering and other problems are going to get solved.

Verbatim quote

From episode "Anthropic vs. The Pentagon, Claude Outpaces ChatGPT, and Consulting Gets Replaced"
Peter, you and I with our recent book/extended essay, Solve Everything, talk all about how we think over the next 10 years substantially all of the the most important, valuable science and engineering and other problems are going to get solved.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross 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

3 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 43.5%

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: 5 fired ✓ · 5 pending
  1. 2026-02-10hitAlphaFold 3 / IsoDDE solves major drug-discovery bottleneck
    How: AI model achieves >50% improvement over AlphaFold 3 on drug discovery benchmarks; widely integrated into pharma pipelines
    Source: Isomorphic Labs IsoDDE Feb 2026; Genesis Molecular AI Pearl 40% improvement over AF3conf 99%
  2. 2027-01-01 → 2032-12-31pendingAI solves at least one Millennium Prize problem or equivalent open math problem
    How: AI system independently produces verified proof of one of the seven Clay Millennium Prize problems, or analogous-difficulty open problem (Riemann, Hodge, Yang-Mills mass gap)
    Source: Reference class: AlphaProof Olympiad gold 2024; FunSearch math discoveries; DeepMind/Anthropic mathematical reasoning roadmapsconf 30%
    Notes: 'All major science problems' requires major math anchor; Millennium proof is canonical bar.
  3. 2027-06-01 → 2033-12-31pendingAI-led breakthrough in fusion energy net Q>10
    How: Tokamak/laser/ICF fusion experiment achieves net energy gain (Q>10) with AI plasma control and design as headline-credited contribution
    Source: DeepMind tokamak control 2022; Commonwealth Fusion / TAE / Helion AI integration; ITER first plasma timelineconf 40%
  4. 2027-10-01 → 2034-12-31pendingNobel Prize awarded for AI-led scientific discovery
    How: Nobel Prize (Physics, Chemistry, Physiology/Medicine) awarded to discovery where AI is explicitly credited as primary enabling technology
    Source: Reference class: Hassabis/Jumper 2024 Chemistry Nobel for AlphaFold — establishes precedent for AI-led discovery recognitionconf 55%
    Notes: Already partially observed (AlphaFold 2024). 'Substantially all' requires multiple recognitions across decade.
  5. 2028-01-01 → 2034-12-31pendingAI room-temperature superconductor or analogous materials breakthrough
    How: Peer-reviewed materials discovery (room-T superconductor, ambient-pressure HT superconductor, or analogous Nobel-class materials breakthrough) credited to AI design
    Source: GNoME Google DeepMind 2023 — millions of new materials predicted; reference class for AI-led materials discoveryconf 35%
  6. 2029-01-01 → 2034-12-31pendingMajor engineering grand challenge solved end-to-end
    How: At least one NAE Grand Challenge (carbon sequestration at scale, personalized learning, urban infrastructure, energy from fusion) reaches deployment-readiness with AI as primary enabling technology
    Source: NAE Grand Challenges; Solve Everything book referenceconf 40%
    Notes: Book title 'Solve Everything' anchors the engineering side of the prediction.

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: 43%)

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
LBP2026-05-03T02:00:01Z43.5%-1.4pp
Network propagation: 44.8% → 43.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.8%-2.0pp
Network propagation: 46.8% → 44.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.8%-3.2pp
Network propagation: 50.0% → 46.8%
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
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.5000.050-0.057
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.5000.050-0.050
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.5000.050-0.042
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.5000.050-0.037
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.500-0.025

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq244_029
Combustion engines largely gone in 20 years but world will bDara Khosrowshahi
35.4%0.5500.050-0.091
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.038
prereq232_047
Mass drivers on the moon will shoot AI satellites into deep Elon Musk
30.0%0.5500.050-0.037

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (7)

Predictions that must hit first
TypePredTitleDomainLag
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (3)

Predictions enabled by this
TypePredTitleDomainLag
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereq232_047Mass drivers on the moon will shoot AI satellites into deep space; self-sustaining lunar city will follow.Space
prereq244_029Combustion engines largely gone in 20 years but world will be very differentEnergy

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.725manifoldWill some Millennium Prize Problem be solved before 2028?49%mentionspending2026-06-01
0.664manifoldWill 50% or more of the Erdos problems be solved at the end of 2030?68%mentionspending2026-04-29

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "10 years",
  "url": "https://www.youtube.com/watch?v=dmtvGKuRE64",
  "mode": "THESIS",
  "role": "Host",
  "context": "Peter, you and I with our recent book/extended essay, Solve Everything, talk all about how we think over the next 10 years substantially all of the the most important, valuable science and engineering and other problems are going to get solved. And that that seems to be where Demis' headspace is.",
  "to_year": 2036,
  "verbatim": "Peter, you and I with our recent book/extended essay, Solve Everything, talk all about how we think over the next 10 years substantially all of the the most important, valuable science and engineering and other problems are going to get solved.",
  "conv_cues": "we think",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "By 2036",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "AlphaFold 3 / IsoDDE solves major drug-discovery bottleneck",
      "source": "Isomorphic Labs IsoDDE Feb 2026; Genesis Molecular AI Pearl 40% improvement over AF3",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.scientificamerican.com/article/an-alphafold-4-scientists-marvel-at-deepmind-drug-spin-offs-exclusive-new-ai/",
      "expected_date": "2026-02-10",
      "observed_date": "2026-02-10",
      "research_origin": "deep_research",
      "measurement_criterion": "AI model achieves >50% improvement over AlphaFold 3 on drug discovery benchmarks; widely integrated into pharma pipelines"
    },
    {
      "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": -9,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Recursive self-improvement is already happening now (no longer three years out)",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI solves at least one Millennium Prize problem or equivalent open math problem",
      "notes": "'All major science problems' requires major math anchor; Millennium proof is canonical bar.",
      "source": "Reference class: AlphaProof Olympiad gold 2024; FunSearch math discoveries; DeepMind/Anthropic mathematical reasoning roadmaps",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.3,
      "expected_date": "2029-12-31",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2032-12-31",
        "from": "2027-01-01"
      },
      "measurement_criterion": "AI system independently produces verified proof of one of the seven Clay Millennium Prize problems, or analogous-difficulty open problem (Riemann, Hodge, Yang-Mills mass gap)"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-led breakthrough in fusion energy net Q>10",
      "source": "DeepMind tokamak control 2022; Commonwealth Fusion / TAE / Helion AI integratio
... (truncated)