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AI_002predictionAIcountry-of-geniuses-datacenter

Models matching the collective cognitive capacity of 'a country of geniuses in a datacenter' — acting simultaneously across all domains — could arrive as early as 2026 or 2027.

Predictor: Dario Amodei

Prior probability
35.0%
Current probability
16.3%
evolves via intake + LBP
Conviction
5/5
Signal quality
A
Resolution
pending
Window
2026-01-01 – 2027-11-30
Edges in / out
2 / 0
Tickers exposed
0

Prediction text

Models matching the collective cognitive capacity of 'a country of geniuses in a datacenter' — acting simultaneously across all domains — could arrive as early as 2026 or 2027. | Next Anthropic frontier-model release

Key catalyst: Next Anthropic frontier-model release

Watch events: Claude 5+ release; multi-agent reasoning benchmarks

Resolution evidence

Status: pending

Claude Opus 4.7 reasoning multi-agent swarms approach collective-genius framing; no single 2026-2027 model has yet demonstrated country-scale parallel domain coverage.

Predictor: Dario Amodei

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0363
excellent
Hits / Misses
1 / 0
of 3 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dario Amodei 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: humanoid_commercial_volume

Linked via embedding similarity 0.575

>10,000 unit cumulative deployment of humanoid robot SKU within 3 years of debut

Base rate
10.0%
0/3 historical
Inside weight
0.451
TRF=0.78
Outside weight
0.549
pulling toward base rate
inside 27.8% → blend 16.3% -11.5pp)

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

7 prob_history rows
0%25%50%75%100%prior 35%2026-04-302026-05-102026-05-31
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 16.3%

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: 2 fired ✓ · 1 overdue ⏱ · 6 pending
  1. 2026-01-27hitAmodei 'country of geniuses' framing reiterated at Paris AI Summit / Davos 2026
    How: Dario Amodei publicly restates 'country of geniuses in a datacenter' thesis with 2026/2027 timeline
    Source: https://fortune.com/2026/01/27/country-of-geniuses-anthropic-dario-amodei-50-million-nobel-prize-winners/ — Fortune coverage of Amodei statementsconf 99%
    Notes: HIT — Amodei reaffirmed thesis publicly Jan 2026 with '50M Nobel laureates' framing.
  2. 2026-02-15hitAmodei 'Adolescence of Technology' essay: powerful AI in 1-2 years
    How: Amodei publishes long-form essay arguing powerful AI emerges within 1-2 years (2027-2028 horizon)
    Source: https://www.darioamodei.com/essay/the-adolescence-of-technologyconf 95%
    Notes: HIT — long-form public commitment to thesis.
  3. 2026-05-23overdueQ1 window check-in (25%)
  4. 2026-06-01 → 2026-12-31pendingAnthropic releases next frontier model (Claude 5/Opus successor)
    How: Anthropic publicly releases successor frontier model with documented multi-domain superhuman capability on benchmarks (MMLU-Pro, GPQA-Diamond, SWE-bench Verified)
    Source: Anthropic blog, model card releasesconf 75%
  5. 2026-10-12pendingQ2 window check-in (50%)
  6. 2026-09-01 → 2027-06-30pendingFrontier model achieves ≥90% on GPQA-Diamond + ≥85% SWE-bench
    How: Public benchmark results show frontier model (any lab) clearing both GPQA-Diamond ≥90% AND SWE-bench Verified ≥85% — both 'expert-level'
    Source: lmarena.ai, papers with code, METR public dashboardconf 55%
    Notes: Operationalization of 'simultaneously across all domains' — concurrent expert-level on both reasoning and coding.
  7. 2027-03-03pendingQ3 window check-in (75%)
  8. 2027-01-01 → 2027-11-30pendingMillion-instance superhuman cluster operational (Anthropic/OpenAI 2027)
    How: Anthropic, OpenAI, or xAI runs publicly-disclosed cluster supporting ≥1M concurrent superhuman-quality model instances
    Source: Stargate, Colossus, Project Rainier disclosuresconf 40%
    Notes: Resolution-critical — Amodei specifies 'cluster sizes by 2027 will allow millions of instances'.
  9. 2027-04-01 → 2027-12-31pendingIndependent capability eval certifies multi-domain expert performance
    How: AISI / METR / NIST publish independent eval certifying frontier model exceeds expert-human in ≥3 distinct domains (math, biology, software)
    Source: AISI/METR/NIST AI Safety Institute reportsconf 30%

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: 16%)

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_sweep2026-05-31T22:09:40Z16.3%-17.4pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.278 blend=0.163 LLR=-0.279 κ=0.69 w_in=0.45 humanoid_commercial_volume
Raw metadata
{
  "trf": 0.7837773806797695,
  "kappa": 0.6875,
  "base_rate": 0.1,
  "predictor": "Dario Amodei",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.674310547829531,
  "bayes_factor": "1.3:1 against",
  "blend_reason": "blend 45% inside / 54% outside (TRF=0.784, base_rate=0.100 from humanoid_commercial_volume)",
  "inside_prior": 0.3375323099925014,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": true,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "quartile_checkpoint",
      "kappa": 0.6875,
      "label": "Q1 window check-in (25%)",
      "weight": 0.05,
      "strength": "weak",
      "confidence": null,
      "source_url": null,
      "adjusted_llr": -0.278757261824363,
      "expected_date": "2026-05-23",
      "measurement_criterion": null
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.4513558335241613,
  "outside_weight": 0.5486441664758387,
  "posterior_prob": 0.16305549508339154,
  "posterior_logit": -0.953067809653894,
  "predictor_brier": 0.0363,
  "inside_posterior": 0.27826827938243076,
  "blended_posterior": 0.16305549508339154,
  "reference_class_id": "humanoid_commercial_volume",
  "total_adjusted_llr": -0.278757261824363,
  "predictor_n_resolved": 3
}
LBP2026-05-24T02:00:02Z33.8%+1.3pp
Network propagation: 32.5% → 33.8%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
LBP2026-05-17T02:00:01Z32.5%+2.5pp
Network propagation: 30.0% → 32.5%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z30.0%+4.7pp
Network propagation: 25.3% → 30.0%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z25.3%+7.7pp
Network propagation: 17.6% → 25.3%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
legacy v12026-04-30T16:13:50Z17.6%+0.0pp
reference_class_assigned bayesian_v2 inside=0.350 blend=0.176 w_in=0.41 humanoid_commercial_volume
legacy v12026-04-30T01:56:50Z17.6%-17.4pp
reference_class_assigned bayesian_v2 inside=0.350 blend=0.176 w_in=0.41 humanoid_commercial_volume

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Prerequisites (2)

Predictions that must hit first
TypePredTitleDomainLag
correlateS_AGI_WINTER_2036PLUSAGI delayed: capability plateau or AI winteragi_general_capability
correlateS_AI_PAUSE_2026Major-country AI pause beginning 2026ai_regulatory_pause

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Linked documents (10)

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Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "country-scale geniuses",
  "mode": "FORECAST",
  "role": "Cited-CEO",
  "context": "Dario's signature framing distinct from point-AGI — emphasizes parallel multiplication of genius-level reasoning rather than a single human-equivalent. Complements CMQ_004 (AGI 2026-2027 from Dario), but the specific country-scale metaphor is central to Anthropic's internal roadmap.",
  "to_year": 2027,
  "conv_cues": "vivid specific framing; CEO FIRST_PERSON",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2027",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Amodei 'country of geniuses' framing reiterated at Paris AI Summit / Davos 2026",
      "notes": "HIT — Amodei reaffirmed thesis publicly Jan 2026 with '50M Nobel laureates' framing.",
      "source": "https://fortune.com/2026/01/27/country-of-geniuses-anthropic-dario-amodei-50-million-nobel-prize-winners/ — Fortune coverage of Amodei statements",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://fortune.com/2026/01/27/country-of-geniuses-anthropic-dario-amodei-50-million-nobel-prize-winners/",
      "expected_date": "2026-01-27",
      "observed_date": "2026-01-27",
      "research_origin": "deep_research",
      "measurement_criterion": "Dario Amodei publicly restates 'country of geniuses in a datacenter' thesis with 2026/2027 timeline"
    },
    {
      "kind": "llm_pre_event",
      "label": "Amodei 'Adolescence of Technology' essay: powerful AI in 1-2 years",
      "notes": "HIT — long-form public commitment to thesis.",
      "source": "https://www.darioamodei.com/essay/the-adolescence-of-technology",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.darioamodei.com/essay/the-adolescence-of-technology",
      "expected_date": "2026-03-01",
      "observed_date": "2026-02-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-04-30",
        "from": "2026-01-01"
      },
      "measurement_criterion": "Amodei publishes long-form essay arguing powerful AI emerges within 1-2 years (2027-2028 horizon)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "overdue",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2026-05-23",
      "observed_date": null,
      "miss_emitted_at": "2026-05-31T22:09:40.747869+00:00",
      "miss_emitted_by": "metadata_milestone_sweep"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic releases next frontier model (Claude 5/Opus successor)",
      "source": "Anthropic blog, model card releases",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.75,
      "expected_date": "2026-09-15",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Anthropic publicly releases successor frontier model with documented multi-domain superhuman capability on benchmarks (MMLU-Pro, GPQA-Diamond, SWE-bench Verified)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2026-10-12",
      "observed_date": null
    },
    {
      "kind": "scenario_signal",
      "label": "Scenario fires: Major-country AI pause beginning 2026",
      "status": "pending",
      "weight": 0.3,
      "ordinal": -4,
      "source_id": "S_AI_PAUSE_2026",
      "expected_date": "2026-12-31",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier model achieves ≥90% on GPQA-Diamond + ≥85
... (truncated)