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241_036predictionAIAI-timing

No frontier AI company will emerge in Russia due to war

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

Prior probability
60.0%
Current probability
50.6%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

No frontier AI company will emerge in Russia due to war | There's not going to be one in Russia because of the the war and so forth and so on

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
There's not going to be one in Russia because of the the war and so forth and so on

Predictor: Eric Schmidt

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0064
excellent
Hits / Misses
3 / 0
of 3 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Eric Schmidt 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 = 50.6%

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: 5 fired ✓
  1. 2026-04-30hitRussia AI models rank below 10th globally
    How: Russian LLMs (Sber GigaChat, Yandex YandexGPT) rank outside top 10 in major LLM benchmarks (LMSYS Arena, HELM, MMLU)
    Source: https://www.intellinews.com/russian-ai-accelerates-but-sanctions-leave-it-trailing-global-leaders-402710/ — Russian LLMs ranked 12th and 17th of 44conf 95%
    Notes: HIT — Russian LLMs already ranked 12th and 17th, far behind frontier.
  2. 2026-04-30hitRussia continues to depend on adapted open-weight models
    How: Russian AI development primarily relies on adapted Western/Chinese open-weight models (Mistral, Qwen, LLaMA) rather than indigenous frontier training
    Source: https://www.csis.org/analysis/how-russia-building-sovereign-drone-ecosystem-ai-driven-autonomyconf 95%
    Notes: HIT — Russia confirmed adapting open-weight models, not building frontier.
  3. 2026-12-31pendingNo Russian frontier AI lab raises >$100M
    How: No Russia-headquartered AI lab raises >$100M for foundation model training in 2026 (excluding state subsidies)
    Source: Industry funding trackers (PitchBook, Crunchbase)conf 95%
  4. 2026-12-31pendingSanctions limit advanced GPU access to Russia
    How: OFAC/BIS continues advanced semiconductor export restrictions to Russia preventing H100/B200 acquisition at scale
    Source: https://www.hfw.com/insights/artificial-intelligence-and-sanctions/conf 99%
  5. 2026-06-01 → 2027-12-31pendingRussia partners with China on AI infrastructure as workaround
    How: Russia announces formal AI compute or model partnership with China (DeepSeek, Baidu, Huawei) as Western sanctions workaround
    Source: https://www.rferl.org/a/deepseek-russian-ai-sber-yandex-kandinsky-censorship/33305704.htmlconf 60%

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: 51%)

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
LBP2026-05-10T02:00:02Z50.6%-1.2pp
Network propagation: 51.8% → 50.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.8%-1.8pp
Network propagation: 53.7% → 51.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.7%-2.5pp
Network propagation: 56.2% → 53.7%
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
prereq234_012
Anthropic revenue will cross OpenAI revenue in middle of 202Peter Diamandis
67.1%0.6000.050-0.091
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6000.050-0.055
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.048
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.039
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6000.050-0.038

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq231_013
Math is cooked (will be solved), physics cooked, biology chaAlex Wissner-Gross
35.4%0.6200.050-0.020
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.019
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050-0.015
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050-0.010
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.006

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
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_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
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

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.642polymarketWill Russia enter Mykhailivka by May 31?2%mentionspending2026-04-22
0.636polymarketWill Ukraine recapture Crimean territory by June 30, 2026?1%mentionspending2025-09-23
0.635polymarketWill Russia enter Kherson by June 30?2%mentionspending2025-12-23
0.627polymarketNATO x Russia military clash by December 31, 2026?22%mentionspending2026-01-02
0.626manifoldWill GMail get blocked in Russia by the end of 202614%mentionspending2026-06-01
0.626polymarketWill Ukraine agree to give up the rest of Donbas before 2027?10%mentionspending2025-11-04
0.624polymarketNATO x Russia military clash by June 30, 2026?6%mentionspending2026-01-13
0.622polymarketUkraine agrees not to join NATO by June 30? 4%mentionspending2025-12-17
0.612polymarketRussia x Ukraine ceasefire by April 30, 2026?0%mentionspending2026-02-25
0.609manifoldWill Russia gain more territory than it loses in June 2026?51%mentionspending2026-06-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "0",
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "PREDICTION",
  "role": "Guest-CEO",
  "caveats": "due to war",
  "context": "not going to be one in Russia because of the the war",
  "to_year": 2026,
  "verbatim": "There's not going to be one in Russia because of the the war and so forth and so on",
  "conv_cues": "not going to be",
  "direction": "NOT_HAPPEN",
  "from_year": 2026,
  "timeframe": "near future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "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": -5,
      "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,
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      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -3,
      "source_id": "234_012",
      "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": -2,
      "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": -1,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "event",
      "label": "No frontier AI company will emerge in Russia due to war",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "241_036",
      "expected_date": "2026-06-21",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Russia AI models rank below 10th globally",
      "notes": "HIT — Russian LLMs already ranked 12th and 17th, far behind frontier.",
      "source": "https://www.intellinews.com/russian-ai-accelerates-but-sanctions-leave-it-trailing-global-leaders-402710/ — Russian LLMs ranked 12th and 17th of 44",
      "status": "hit",
      "weight": 0.4,
      "ordinal": 1,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.intellinews.com/russian-ai-accelerates-but-sanctions-leave-it-trailing-global-leaders-402710/",
      "expected_date": "2026-06-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Russian LLMs (Sber GigaChat, Yandex YandexGPT) rank outside top 10 in major LLM benchmarks (LMSYS Arena, HELM, MMLU)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Russia continues to depend on adapted open-weight models",
      "notes": "HIT — Russia confirmed adapting open-weight models, not building frontier.",
      "source": "https://www.csis.org/analysis/how-russia-building-sovereign-drone-ecosystem-ai-driven-autonomy",
      "status": "hit",
      "weight": 0.4,
      "ordinal": 2,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.csis.org/analysis/how-russia-building-sovereign-drone-ecosystem-ai-driven-autonomy",
      "expected_date": "2026-06-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Russian AI development primarily relies on adapted Western/Chinese open-weight models (M
... (truncated)