← Cockpit
241_035predictionAIAI-timing

Maybe one frontier AI company in India

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

Prior probability
50.0%
Current probability
35.3%
evolves via intake + LBP
Conviction
2/5
Signal quality
D
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Maybe one frontier AI company in India | There might be one in India

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
There might be one in India

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

5 prob_history rows
0%25%50%75%100%prior 50%2026-04-302026-05-032026-06-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 35.3%

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 ✓ · 2 overdue ⏱
  1. 2026-05-01 → 2026-06-21overdueSarvam AI sovereign LLM v1 public release
    How: Sarvam 70B+ parameter foundation model released with public benchmarks (MMLU, IndicBench) under IndiaAI Mission
    Source: IndiaAI Mission Sarvam selection 2025; ibtimes 2026conf 55%
  2. 2026-04-30 → 2026-06-21overdueIndiaAI Mission compute capacity online (>=10K GPU H100-equivalent)
    How: IndiaAI MeitY tender confirms >=10,000 H100-equivalent GPUs operational across selected AI Centres
    Source: IndiaAI Mission government schemeconf 50%
  3. 2026-05-01 → 2026-09-30pendingIndian AI startup raises round at >=$1B valuation
    How: Sarvam, Krutrim, or comparable Indian frontier AI startup completes round at >=$1B post-money valuation, publicly disclosed
    Source: training-window inference; restofworld.orgconf 35%
  4. 2026-06-01 → 2026-12-31pendingIndian model in top-25 of public LLM leaderboard (LMArena, HELM)
    How: LMArena Elo or HELM ranks an India-built model (Sarvam/Krutrim/BharatGen) in top 25 globally
    Source: LMArena public leaderboardconf 30%
  5. 2026-07-01 → 2026-12-31pendingIndia AI Impact Summit follow-on commits >$50B private investment by year-end 2026
    How: MeitY/PMO press release confirms cumulative private AI investment commitments crossing $50B following 2026 Summit
    Source: India AI Impact Summit 2026 announcementsconf 40%

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: 35%)

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
metadata_milestone_miss_sweep2026-06-03T22:11:45Z35.3%-6.9pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.353 blend=0.353 LLR=-0.293 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.8991436897318007,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Eric Schmidt",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.3115102846451738,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.4227461383892443,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.37812500000000004,
      "label": "Sarvam AI sovereign LLM v1 public release",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.55,
      "source_url": "https://www.ibtimes.com.au/indias-top-10-ai-companies-2026-sarvam-ai-krutrim-lead-sovereign-push-amid-29b-funding-boom-1866020",
      "adjusted_llr": -0.15331649400339967,
      "expected_date": "2026-05-26",
      "measurement_criterion": "Sarvam 70B+ parameter foundation model released with public benchmarks (MMLU, IndicBench) under IndiaAI Mission"
    },
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.34375,
      "label": "IndiaAI Mission compute capacity online (>=10K GPU H100-equivalent)",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.5,
      "source_url": "https://blogs.nvidia.com/blog/india-ai-mission-infrastructure-models/",
      "adjusted_llr": -0.1393786309121815,
      "expected_date": "2026-05-26",
      "measurement_criterion": "IndiaAI MeitY tender confirms >=10,000 H100-equivalent GPUs operational across selected AI Centres"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3705994171877395,
  "outside_weight": 0.6294005828122605,
  "posterior_prob": 0.35338215274574064,
  "posterior_logit": -0.604205409560755,
  "predictor_brier": 0.0064,
  "inside_posterior": 0.35338215274574064,
  "blended_posterior": 0.35338215274574064,
  "reference_class_id": null,
  "total_adjusted_llr": -0.29269512491558114,
  "predictor_n_resolved": 3
}
LBP2026-05-10T02:00:02Z42.3%-1.0pp
Network propagation: 43.3% → 42.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z43.3%-1.5pp
Network propagation: 44.8% → 43.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.8%-2.1pp
Network propagation: 46.9% → 44.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z46.9%-3.1pp
Network propagation: 50.0% → 46.9%
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
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.500+0.102
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.500+0.079
killerTK14
Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
20.0%0.0500.500+0.057
prereq238_009
Recursive self-improvement is already happening now (no longAlex Wissner-Gross
78.1%0.5000.050+0.044
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.5000.050+0.039

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%0.6200.050-0.088
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050-0.081
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.077
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050-0.074
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.058

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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "1 in India",
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "SPECULATION",
  "role": "Guest-CEO",
  "context": "There might be one in India",
  "to_year": 2026,
  "verbatim": "There might be one in India",
  "conv_cues": "might be",
  "direction": "NUMERIC_TARGET",
  "from_year": 2026,
  "timeframe": "near future",
  "conv_level": "MEDIUM",
  "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": -7,
      "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": -6,
      "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": -5,
      "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": -4,
      "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": -3,
      "source_id": "238_009",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Sarvam AI sovereign LLM v1 public release",
      "source": "IndiaAI Mission Sarvam selection 2025; ibtimes 2026",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.ibtimes.com.au/indias-top-10-ai-companies-2026-sarvam-ai-krutrim-lead-sovereign-push-amid-29b-funding-boom-1866020",
      "expected_date": "2026-05-26",
      "miss_emitted_at": "2026-06-03T22:11:45.571008+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-06-21",
        "from": "2026-05-01"
      },
      "measurement_criterion": "Sarvam 70B+ parameter foundation model released with public benchmarks (MMLU, IndicBench) under IndiaAI Mission"
    },
    {
      "kind": "llm_pre_event",
      "label": "IndiaAI Mission compute capacity online (>=10K GPU H100-equivalent)",
      "source": "IndiaAI Mission government scheme",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.5,
      "source_url": "https://blogs.nvidia.com/blog/india-ai-mission-infrastructure-models/",
      "expected_date": "2026-05-26",
      "miss_emitted_at": "2026-06-03T22:11:45.571008+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-06-21",
        "from": "2026-04-30"
      },
      "measurement_criterion": "IndiaAI MeitY tender confirms >=10,000 H100-equivalent GPUs operational across selected AI Centres"
    },
    {
      "kind": "event",
      "label": "Maybe one frontier AI company in India",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "241_035",
      "expected_date": "2026-06-21",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Indian AI startup raises round at
... (truncated)