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232_050predictionAIAI-scaling

Discovery of new physics will soon unlock atom-by-atom construction for building compute off-Earth.

Predictor: Dave Blundin · ep#232 "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232" · source

Prior probability
60.0%
Current probability
48.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2028-06-01 – 2028-06-30
Edges in / out
13 / 5
Tickers exposed
37

Prediction text

Discovery of new physics will soon unlock atom-by-atom construction for building compute off-Earth. | like you said, Alex, you know, we'll be discovering new physics very soon. Somewhere in that discovery chain is the unlock to everything you just said. Be able to manufacture these things.

Verbatim quote

From episode "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232"
like you said, Alex, you know, we'll be discovering new physics very soon. Somewhere in that discovery chain is the unlock to everything you just said. Be able to manufacture these things.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 = 48.5%

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: 8 fired ✓ · 2 pending
  1. 2025-12-31hitAtomic-precision processing (APP) 2D materials applied in semiconductor fab pilot lines
    How: Major semiconductor fab (TSMC, Samsung, Intel) integrates atomic-layer-etching/APAM into pilot or production
    Source: https://pubs.acs.org/doi/abs/10.1021/acsnano.4c04908 — ACS Nano APP 2D materials reviewconf 90%
    Notes: ALD/ALE already in production for sub-3nm nodes. Atom-by-atom approaching reality at semiconductor scale.
  2. 2025-12-31hitSingle-molecule transistor / rectifier with directional construction demonstrated (2025)
    How: Peer-reviewed paper demonstrates electronically functional single-molecule device (transistor/switch/rectifier) with atomic-precision orbital engineering
    Source: https://www.nature.com/articles/s41378-025-01037-8 — Microsystems & Nanoengineering 2025conf 95%
  3. 2025-12-31hitHydrogen lithography APM commercialized by Quantum Silicon / Zyvex Labs
    How: Quantum Silicon Inc., Zyvex Labs, or Silicon Quantum Computing demonstrates commercial hydrogen-lithography APM device patterning
    Source: https://medium.com/prime-movers-lab/atomically-precise-manufacturing-part-1-b7c11c0d4c50conf 85%
    Notes: HIT — multiple companies operating hydrogen lithography APM commercially.
  4. 2026-06-01 → 2027-12-31pendingDARPA / DOE issues APM grant program with explicit compute-fabrication funding line
    How: DARPA or DOE solicitation explicitly funds atomic-precision fabrication for compute hardware (vs. materials-only programs)
    Source: DARPA BAA, DOE Office of Science FOAs, https://www.nano.gov/node/1957conf 55%
  5. 2026-06-01 → 2028-06-30pendingFirst space-based manufacturing demonstration uses atomic-layer-deposition in microgravity
    How: ISS or commercial LEO platform (Varda, Axiom) runs ALD/atomic-precision deposition experiment, validating off-Earth APM
    Source: Varda Space Industries, Axiom Space, ISS National Lab portfolioconf 40%
    Notes: Cascade — Blundin specifically cited 'building compute off-Earth.' Microgravity APM proof-of-concept is the bridge.

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: 49%)

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
LBP2026-05-10T02:00:02Z48.5%-1.4pp
Network propagation: 50.0% → 48.5%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.0%-2.2pp
Network propagation: 52.1% → 50.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z52.1%-3.1pp
Network propagation: 55.2% → 52.1%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z55.2%-4.8pp
Network propagation: 60.0% → 55.2%
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
prereq231_039
Elon will build out his own chip fabs due to his attack-consPeter Diamandis
47.2%0.6000.050-0.180
prereqSEM_023
No AI bubble — semiconductor positive trend will remain robuJoseph Moore
62.6%0.6000.050-0.113
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.078
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.065
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.060

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_017
Europa Clipper will arrive at Jupiter in 2030, conducting 50Peter Diamandis
37.7%0.6500.050-0.042
prereq247_035
Dario Amodei will solve most/all neurological diseases by enDario Amodei
38.8%0.7000.050-0.029
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.021
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.011
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.005

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (13)

Predictions that must hit first
TypePredTitleDomainLag
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_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.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
prereqSEM_026Nvidia's next 'Rubin' product cycle is the most critical factor for semi industry in coming year — further integrates logic + HBM.Semis/Products
prereqSEM_023No AI bubble — semiconductor positive trend will remain robust through 2026 with 'crystal clear' growth visibility into 2027.Semis/Markets
prereq231_039Elon will build out his own chip fabs due to his attack-constraints approach.AI
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
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq247_035Dario Amodei will solve most/all neurological diseases by end of decadeBiotech/Longevity
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_017Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa.Space
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2028-06-30[Capability 2028-06] due to his attack-constraints approach. [232_050] Discovery of new physics will soon unlock atom-by-atom construction for buildingpending

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.634arxivComposable Crystals: Controllable Materials Discovery via Concept Learningmentionspending2026-05-14
0.630arxivFundamental or Composite? The Higgs Enigmamentionspending2026-05-06
0.624arxivCrys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinementmentionspending2026-05-14
0.613arxivCan machine learning for quantum-gas experiments be explainable?mentionspending2026-05-18
0.607arxivLecture notes: Introduction to the Off-shell Double Copy Programmentionspending2026-06-04
0.578arxivEntangling gates for the SU(N) anyonsmentionspending2026-05-05
0.563arxivMōLe-Λ: Learning the Coupled-Cluster Response State for Energies, Gradients, and Propertiesmentionspending2026-05-28
0.558arxivPair creation via Amplitude-Modulated Periodic and Quasiperiodic Pulse Sequencesmentionspending2026-05-04
0.554arxivUnitarity, Recursion and Soft Limits in (EA)dS through Dressingmentionspending2026-06-03
0.554arxivBig Axionsmentionspending2026-06-03

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=C1GLT9_tag0",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "Elon is already thinking about alternate ways to build from atom by atom up to build the compute to build all the components. And he's it's it's already cooked in his mind. You can tell when you talk to him. But that to me is like wow. And like you said, Alex, you know, we'll be discovering new physics very soon. Somewhere in that discovery chain is the unlock to everything you just said.",
  "to_year": 2030,
  "verbatim": "like you said, Alex, you know, we'll be discovering new physics very soon. Somewhere in that discovery chain is the unlock to everything you just said. Be able to manufacture these things.",
  "conv_cues": "very soon",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "very soon",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Atomic-precision processing (APP) 2D materials applied in semiconductor fab pilot lines",
      "notes": "ALD/ALE already in production for sub-3nm nodes. Atom-by-atom approaching reality at semiconductor scale.",
      "source": "https://pubs.acs.org/doi/abs/10.1021/acsnano.4c04908 — ACS Nano APP 2D materials review",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://pubs.acs.org/doi/abs/10.1021/acsnano.4c04908",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Major semiconductor fab (TSMC, Samsung, Intel) integrates atomic-layer-etching/APAM into pilot or production"
    },
    {
      "kind": "llm_pre_event",
      "label": "Single-molecule transistor / rectifier with directional construction demonstrated (2025)",
      "source": "https://www.nature.com/articles/s41378-025-01037-8 — Microsystems & Nanoengineering 2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.nature.com/articles/s41378-025-01037-8",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Peer-reviewed paper demonstrates electronically functional single-molecule device (transistor/switch/rectifier) with atomic-precision orbital engineering"
    },
    {
      "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 dou
... (truncated)