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241_060predictionSpaceAI-timing

Data centers will be built in space / rockets will carry data centers

Predictor: Peter Diamandis · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source

Prior probability
65.0%
Current probability
53.6%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
10 / 5
Tickers exposed
33

Prediction text

Data centers will be built in space / rockets will carry data centers | my childhood dreams of going to the moon and Mars and would be fueled by data centers

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
my childhood dreams of going to the moon and Mars and would be fueled by data centers

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: mars_uncrewed_landing_window

Linked via embedding similarity 0.553

Successful uncrewed payload delivery to Mars surface within named transfer window

Base rate
50.0%
9/18 historical
Inside weight
Outside weight
no pull
inside 53.6% → blend 53.6% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

2 prob_history rows
0%25%50%75%100%prior 65%2026-04-302026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 53.6%

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: 10 fired ✓
  1. 2025-11-02hitStarcloud places first NVIDIA H100 GPU in space
    How: Starcloud confirms NVIDIA H100 GPU operational in space aboard Starcloud-1 satellite
    Source: https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.htmlconf 99%
  2. 2025-12-10hitFirst in-orbit LLM training completed
    How: Starcloud trains a large language model (NanoGPT) in space using GPU compute on satellite
    Source: https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.htmlconf 99%
  3. 2026-02-03hitStarcloud files FCC for 88,000-satellite orbital constellation
    How: Starcloud submits FCC proposal for >=10,000 satellite orbital data center constellation
    Source: https://en.wikipedia.org/wiki/Starcloudconf 95%
  4. 2026-02-28hitMultiple orbital data center operators run production workloads simultaneously
    How: >=2 commercial orbital data center operators (Starcloud, Lonestar, others) run paying-customer workloads in parallel
    Source: https://introl.com/blog/orbital-data-centers-space-computing-race-2026conf 85%
  5. 2026-03-30hitStarcloud raises $170M Series A to build orbital data centers
    How: Starcloud closes Series A funding >=$150M for orbital data center build-out
    Source: https://techcrunch.com/2026/03/30/starcloud-raises-170-million-series-ato-build-data-centers-in-space/conf 99%
    Notes: HIT — $170M raised at $1.1B valuation March 30 2026, validating space data center thesis.

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: 54%)

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
LBP2026-05-17T02:00:01Z53.6%-1.0pp
Network propagation: 54.6% → 53.6%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
legacy v12026-04-30T01:56:50Z54.6%-10.4pp
reference_class_assigned bayesian_v2 inside=0.650 blend=0.546 w_in=0.30 mars_uncrewed_landing_window

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%0.0500.650-0.096
prereq234_012
Anthropic revenue will cross OpenAI revenue in middle of 202Peter Diamandis
67.1%0.6500.050-0.087
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.054
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6500.050-0.049
killerTK15
SpaceX Starship Catastrophic Failure
12.0%0.0500.650+0.042

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.040
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.029
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050+0.009
prereq231_013
Math is cooked (will be solved), physics cooked, biology chaAlex Wissner-Gross
35.4%0.6200.050-0.002
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050+0.001

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (10)

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
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
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
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK15SpaceX Starship Catastrophic Failure
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq241_043ASI will arrive within 2 years to 5 years to this next decadeAI
prereq231_013Math is cooked (will be solved), physics cooked, biology char broiled.AI
prereqCMQ_002By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention.AI

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2026-06-30[Space 2026-06] far on energy argument for data centers [241_060] Data centers will be built in space / rockets will carry data centerspending

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.697manifoldWill there be a data center on the moon Europa by EOY 2066?35%mentionspending2026-06-06
0.605gdeltused spacex rocket could crash into the moons einstein crater this summer report predictsmentionspending2026-04-30

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "my childhood dreams of going to the moon and Mars and would be fueled by data centers",
  "to_year": 2026,
  "verbatim": "my childhood dreams of going to the moon and Mars and would be fueled by data centers",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Starcloud places first NVIDIA H100 GPU in space",
      "source": "https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.html",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.html",
      "expected_date": "2025-11-02",
      "observed_date": "2025-11-02",
      "research_origin": "deep_research",
      "measurement_criterion": "Starcloud confirms NVIDIA H100 GPU operational in space aboard Starcloud-1 satellite"
    },
    {
      "kind": "llm_pre_event",
      "label": "First in-orbit LLM training completed",
      "source": "https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.html",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.html",
      "expected_date": "2025-12-10",
      "observed_date": "2025-12-10",
      "research_origin": "deep_research",
      "measurement_criterion": "Starcloud trains a large language model (NanoGPT) in space using GPU compute on satellite"
    },
    {
      "kind": "llm_pre_event",
      "label": "Starcloud files FCC for 88,000-satellite orbital constellation",
      "source": "https://en.wikipedia.org/wiki/Starcloud",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://en.wikipedia.org/wiki/Starcloud",
      "expected_date": "2026-02-03",
      "observed_date": "2026-02-03",
      "research_origin": "deep_research",
      "measurement_criterion": "Starcloud submits FCC proposal for >=10,000 satellite orbital data center constellation"
    },
    {
      "kind": "llm_pre_event",
      "label": "Multiple orbital data center operators run production workloads simultaneously",
      "source": "https://introl.com/blog/orbital-data-centers-space-computing-race-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://introl.com/blog/orbital-data-centers-space-computing-race-2026",
      "expected_date": "2026-02-28",
      "observed_date": "2026-02-28",
      "research_origin": "deep_research",
      "measurement_criterion": ">=2 commercial orbital data center operators (Starcloud, Lonestar, others) run paying-customer workloads in parallel"
    },
    {
      "kind": "llm_pre_event",
      "label": "Starcloud raises $170M Series A to build orbital data centers",
      "notes": "HIT — $170M raised at $1.1B valuation March 30 2026, validating space data center thesis.",
      "source": "https://techcrunch.com/2026/03/30/starcloud-raises-170-million-series-ato-build-data-centers-in-space/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://techcrunch.com/2026/03/30/starcloud-raises-170-million-series-ato-build-data-centers-in-space/",
      "expected_date": "2026-03-30",
      "observed_date": "2026-03-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Starcloud closes Series A funding >=$150M for orbit
... (truncated)