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
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 ⏱
- 2026-05-01 → 2026-06-21overdueSarvam AI sovereign LLM v1 public releaseHow: Sarvam 70B+ parameter foundation model released with public benchmarks (MMLU, IndicBench) under IndiaAI MissionSource: IndiaAI Mission Sarvam selection 2025; ibtimes 2026conf 55%
- 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 CentresSource: IndiaAI Mission government schemeconf 50%
- 2026-05-01 → 2026-09-30pendingIndian AI startup raises round at >=$1B valuationHow: Sarvam, Krutrim, or comparable Indian frontier AI startup completes round at >=$1B post-money valuation, publicly disclosedSource: training-window inference; restofworld.orgconf 35%
- 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 globallySource: LMArena public leaderboardconf 30%
- 2026-07-01 → 2026-12-31pendingIndia AI Impact Summit follow-on commits >$50B private investment by year-end 2026How: MeitY/PMO press release confirms cumulative private AI investment commitments crossing $50B following 2026 SummitSource: 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
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.500 | +0.102 |
| killer | TK01 AGI Capability Plateau (2026-27 Training Stall) | 15.0% | 0.050 | 0.500 | +0.079 |
| killer | TK14 Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | 20.0% | 0.050 | 0.500 | +0.057 |
| prereq | 238_009 Recursive self-improvement is already happening now (no long — Alex Wissner-Gross | 78.1% | 0.500 | 0.050 | +0.044 |
| prereq | SEM_008 Training runs costing $10 billion for a single model will co — Dario Amodei | 76.9% | 0.500 | 0.050 | +0.039 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 231_013 Math is cooked (will be solved), physics cooked, biology cha — Alex Wissner-Gross | 35.4% | 0.620 | 0.050 | -0.088 |
| prereq | 241_043 ASI will arrive within 2 years to 5 years to this next decad — Peter Diamandis | 35.9% | 0.650 | 0.050 | -0.081 |
| prereq | 235_030 Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203 — Ray Kurzweil | 39.2% | 0.750 | 0.050 | -0.077 |
| prereq | CMQ_002 By 2028, AI systems will reach 'independent researcher' leve — Sam Altman | 31.4% | 0.550 | 0.050 | -0.074 |
| prereq | 232_055 We're exiting the industrial age permanently as recursive se — Peter Diamandis | 35.5% | 0.700 | 0.050 | -0.058 |
Ticker exposure
33 ticker(s) linked
Beneficiaries (23)
Adverse (6)
Prerequisites (8)
Predictions that must hit first
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | SEM_008 | Training runs costing $10 billion for a single model will commence sometime in 2025. | AI | — |
| prereq | 238_009 | Recursive self-improvement is already happening now (no longer three years out) | AI | — |
| prereq | 234_012 | Anthropic revenue will cross OpenAI revenue in middle of 2026 | Markets/Stocks | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| prereq | SEM_042 | 2025 will be the definitive year that agentic systems finally hit the mainstream. | AI/Agents | — |
| killer | TK14 | Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
Predictions enabled by this
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 235_030 | Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033. | Biotech/Longevity | — |
| prereq | 232_055 | We're exiting the industrial age permanently as recursive self-improvement unfolds. | AI | — |
| prereq | 241_043 | ASI will arrive within 2 years to 5 years to this next decade | AI | — |
| prereq | 231_013 | Math is cooked (will be solved), physics cooked, biology char broiled. | AI | — |
| prereq | CMQ_002 | By 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)