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230_006predictionAIAI-scaling

The frontier models will go dark — kept internal to benefit the labs in an all-out battle.

Predictor: Peter Diamandis · ep#230 "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230" · source

Prior probability
65.0%
Current probability
48.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2027-06-01 – 2027-06-30
Edges in / out
22 / 5
Tickers exposed
37

Prediction text

The frontier models will go dark — kept internal to benefit the labs in an all-out battle. | So, the models are going to go dark, right? It's going to be it's the secret sauce is going to be kept internal to benefit those companies as they go into an allout battle.

Verbatim quote

From episode "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230"
So, the models are going to go dark, right? It's going to be it's the secret sauce is going to be kept internal to benefit those companies as they go into an allout battle.

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

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 65%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 48.0%

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: 8 fired ✓ · 3 pending
  1. 2026-02-16hitMicrosoft pivots away from OpenAI dependency to MAI-1 internal frontier model
    How: Microsoft announces MAI-1 as primary in-house frontier model, retaining proprietary capabilities not licensed to external partners
    Source: https://creati.ai/ai-news/2026-02-16/microsoft-ditches-openai-partnership-build-proprietary-mai-1-frontier-ai-model/conf 92%
  2. 2026-04-15hitAnthropic Mythos held internal as undisclosed frontier capability
    How: Verifiable reporting that Anthropic has built a frontier model (Mythos) with capabilities not publicly released
    Source: https://whatllm.org/blog/new-ai-models-april-2026conf 95%
  3. 2026-04-15hitOpenAI / Anthropic launches restricted-access tier for top-tier models
    How: Public confirmation of an enterprise/government-only tier for the labs' most capable models (e.g., GPT-5.4-Cyber, Claude Mythos, Trusted Access for Cyber)
    Source: https://www.bankinfosecurity.com/ot-cybersecurity-frozen-out-by-frontier-labs-a-31536conf 90%
  4. 2026-09-01 → 2027-06-30pendingOpen-source closes gap on withheld frontier capability within 6-12 months
    How: Open-source model matches or exceeds capability of withheld frontier model (e.g., Mythos-class) within 6-12 months of withholding
    Source: https://joshthompson.co.uk/ai/frontier-model-moat-dead-open-source-vs-closed-ai/conf 55%
    Notes: Amodei explicitly forecasts this. Cascade because it both supports and undermines the predictor's thesis.
  5. 2026-09-01 → 2027-12-31pendingFrontier labs' top model gap to public release widens to 6+ months
    How: Industry analyst (Bersin, Epoch, AI Index) confirms gap between best internal frontier model and public release exceeds 6 months for at least one major lab
    Source: https://medium.com/@marc.bara.iniesta/q1-2026-the-frontier-ai-field-is-splitting-b5b7f6a49ba9conf 65%

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: 48%)

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
LBP2026-05-10T02:00:02Z48.0%-1.8pp
Network propagation: 49.8% → 48.0%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z49.8%-3.3pp
Network propagation: 53.1% → 49.8%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.1%-4.3pp
Network propagation: 57.4% → 53.1%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z57.4%-7.6pp
Network propagation: 65.0% → 57.4%
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
prereqSEM_016
Huawei will emerge as the unexpected victor in the 2026 chipDavid Friedberg
23.7%0.6500.050-0.283
prereq240_008
NVIDIA export controls will get even more aggressive in comiAlex Wissner-Gross
38.4%0.6500.050-0.204
prereqSEM_018
SMIC (China) projected at only 100,000 wafers/month of advanSMIC (All-In Podcast analysis)
47.0%0.6500.050-0.128
prereq246_037
50% of US data centers delayed, only 33% being built (due toPeter Diamandis
52.9%0.6500.050-0.119
prereqSEM_025
Morgan Stanley price target $250 for Nvidia — representing 3Joseph Moore
55.0%0.6500.050-0.117

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050-0.058
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.029
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.025
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.014
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.001

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (22)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
prereqSEM_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
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_024Memory stocks are THE primary beneficiary of the semiconductor growth cycle extending into 2026 ('Memory Wall' dominant constraint).Semis/Markets
prereqSEM_020Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity.Semis
prereqSEM_031AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments.Semis/Hardware
prereqSEM_017TSMC will produce over 10M wafers/month total in 2026, including ~100K/mo at 2nm and ~200K/mo at 3nm.Semis
prereqSEM_028Main characters for semi institutional portfolios: Nvidia, Broadcom, and high-growth connectivity firms like Astera Labs.Capital Markets
prereqSEM_019Samsung will produce 150,000 wafers/month in sub-7nm processes by 2026, serving as critical secondary Western supplier.Semis
prereq241_053AI chips are 2 kilowatts each - requires water coolingAI
prereqSEM_018SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.Semis
prereq246_03750% of US data centers delayed, only 33% being built (due to chip/electrical equipment shortage and regulation).AI
prereqSEM_025Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels.Capital Markets
prereq240_008NVIDIA export controls will get even more aggressive in coming monthsGeopolitics
prereqSEM_016Huawei will emerge as the unexpected victor in the 2026 chip war — not via immediate capacity but via forced supply-chain resilience.Semis/Geopolitics
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq244_019Peter's son won't need a driver's license in 2 yearsAuto/Transport
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq242_031Most large companies' business models will be disrupted in 2-5 yearsMarkets/Stocks
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2027-06-30[Capability 2027-06] ntier model release (Claude/GPT/Gemini) [230_006] The frontier models will go dark — kept internal to benefit the labs in an all-opending

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.586polymarketStars vs. Wild47%mentionspending2026-04-29
0.585polymarketWild vs. Avalanche36%mentionspending2026-05-02
0.585polymarketWild vs. Avalanche36%mentionspending2026-05-02
0.582polymarketAvalanche vs. Wild56%mentionspending2026-05-10
0.581polymarketAvalanche vs. Wild56%mentionspending2026-05-03
0.581polymarketWild vs. Avalanche34%mentionspending2026-05-10
0.573polymarketSabres vs. Canadiens47%mentionspending2026-05-04
0.573polymarketSabres vs. Canadiens42%mentionspending2026-05-08
0.572polymarketLightning vs. Canadiens53%mentionspending2026-04-29
0.572polymarketCanadiens vs. Sabres46%mentionspending2026-05-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=6P0uTDGDr-I",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "So, the models are going to go dark, right? It's going to be it's the secret sauce is going to be kept internal to benefit those companies as they go into an allout battle.",
  "to_year": 2028,
  "verbatim": "So, the models are going to go dark, right? It's going to be it's the secret sauce is going to be kept internal to benefit those companies as they go into an allout battle.",
  "conv_cues": "going to",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "unspecified near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Microsoft pivots away from OpenAI dependency to MAI-1 internal frontier model",
      "source": "https://creati.ai/ai-news/2026-02-16/microsoft-ditches-openai-partnership-build-proprietary-mai-1-frontier-ai-model/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -11,
      "source_id": null,
      "confidence": 0.92,
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      "expected_date": "2026-02-16",
      "observed_date": "2026-02-16",
      "research_origin": "deep_research",
      "measurement_criterion": "Microsoft announces MAI-1 as primary in-house frontier model, retaining proprietary capabilities not licensed to external partners"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic Mythos held internal as undisclosed frontier capability",
      "source": "https://whatllm.org/blog/new-ai-models-april-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://whatllm.org/blog/new-ai-models-april-2026",
      "expected_date": "2026-04-15",
      "observed_date": "2026-04-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Verifiable reporting that Anthropic has built a frontier model (Mythos) with capabilities not publicly released"
    },
    {
      "kind": "prereq",
      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_011",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_027",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI ",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_029",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "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": "llm_pre_event",
      "label": "OpenAI / Anthropic launches re
... (truncated)