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248_013predictionAIAI-scaling

Model transparency decline will not reverse; US labs will keep going internal.

Predictor: Dave Blundin · ep#248 "Sam Altman's Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248" · source

Prior probability
60.0%
Current probability
48.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
14 / 5
Tickers exposed
37

Prediction text

Model transparency decline will not reverse; US labs will keep going internal. | Well, I think it's it's very much a trend that's not going to reverse because... And the US labs are absolutely not publishing papers anymore. Absolutely turning their research budgets internally.

Verbatim quote

From episode "Sam Altman's Attack, Amazon vs. Starlink, and What Opus 4.7 Actually Means | #248"
Well, I think it's it's very much a trend that's not going to reverse because... And the US labs are absolutely not publishing papers anymore. Absolutely turning their research budgets internally.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 = 48.8%

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 ✓
  1. 2025-07-22hit40 researchers at top AI labs sound alarm on lost interpretability
    How: Cross-lab paper from OpenAI/DeepMind/Anthropic/Meta researchers publicly warns of declining understanding of frontier models
    Source: https://venturebeat.com/ai/openai-google-deepmind-and-anthropic-sound-alarm-we-may-be-losing-the-ability-to-understand-aiconf 99%
  2. 2025-12-31hitStanford Foundation Model Transparency Index drops avg score to ~40/100
    How: Stanford 2025 FMTI publishes with average transparency score below 45/100, down from 58/100 in 2024
    Source: https://hai.stanford.edu/news/transparency-in-ai-is-on-the-declineconf 99%
    Notes: HIT — FMTI 2025 confirmed avg 40/100.
  3. 2025-12-31hitSix major AI companies decline to submit voluntary transparency reports
    How: FMTI 2025 documents >=5 companies (incl Anthropic) refusing voluntary submission
    Source: https://arxiv.org/html/2512.10169v1conf 95%
    Notes: HIT — Alibaba, Anthropic, DeepSeek, Midjourney, Mistral, xAI did not submit.
  4. 2025-12-31hitOpenAI / Anthropic / Google publish zero environmental-impact data
    How: FMTI 2025 confirms >=3 frontier labs disclose no energy/carbon/water usage data
    Source: https://arxiv.org/html/2512.10169v1conf 95%
  5. 2026-12-31pendingFMTI 2026 transparency average remains <=45/100 (no reversal)
    How: Stanford FMTI 2026 publishes with average transparency score <= 45/100, confirming no reversal
    Source: https://hai.stanford.edu/news/transparency-in-ai-is-on-the-declineconf 70%
    Notes: Direct test of will not reverse framing.

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: 49%)

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
LBP2026-05-10T02:00:02Z48.8%-1.3pp
Network propagation: 50.1% → 48.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z50.1%-2.4pp
Network propagation: 52.4% → 50.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z52.4%-3.4pp
Network propagation: 55.8% → 52.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z55.8%-4.2pp
Network propagation: 60.0% → 55.8%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.080
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.6000.050-0.069
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.068
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.057
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.053

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq248_040
Pausing AI will fail and only accelerate race dynamics.Alex Wissner-Gross
53.0%0.9200.050-0.062
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050-0.036
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.023
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.016
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.008

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (14)

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_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_015Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.Policy/Semis
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
correlateS_AGI_SLOW_2031AGI slow: Schmidt/Hassabis 5-10 year pathagi_general_capability
correlateS_AGI_WINTER_2036PLUSAGI delayed: capability plateau or AI winteragi_general_capability
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
prereq248_040Pausing AI will fail and only accelerate race dynamics.AI
prereq247_023AI will be able to do everything a white collar worker does imminentlyAI
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

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.580polymarketJerome Powell out from Fed Board by May 30?0%mentionspending2026-01-05

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=LVvleNtllPk",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "it's it's very much a trend that's not going to reverse... the self-improvement cycle is in full swing. China, like Alex said, is is kind of leading from behind.",
  "to_year": 2026,
  "verbatim": "Well, I think it's it's very much a trend that's not going to reverse because... And the US labs are absolutely not publishing papers anymore. Absolutely turning their research budgets internally.",
  "conv_cues": "not going to reverse",
  "direction": "DOWN",
  "from_year": 2026,
  "timeframe": "ongoing trend",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "40 researchers at top AI labs sound alarm on lost interpretability",
      "source": "https://venturebeat.com/ai/openai-google-deepmind-and-anthropic-sound-alarm-we-may-be-losing-the-ability-to-understand-ai",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://venturebeat.com/ai/openai-google-deepmind-and-anthropic-sound-alarm-we-may-be-losing-the-ability-to-understand-ai",
      "expected_date": "2025-07-31",
      "observed_date": "2025-07-22",
      "research_origin": "deep_research",
      "measurement_criterion": "Cross-lab paper from OpenAI/DeepMind/Anthropic/Meta researchers publicly warns of declining understanding of frontier models"
    },
    {
      "kind": "llm_pre_event",
      "label": "Stanford Foundation Model Transparency Index drops avg score to ~40/100",
      "notes": "HIT — FMTI 2025 confirmed avg 40/100.",
      "source": "https://hai.stanford.edu/news/transparency-in-ai-is-on-the-decline",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://hai.stanford.edu/news/transparency-in-ai-is-on-the-decline",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Stanford 2025 FMTI publishes with average transparency score below 45/100, down from 58/100 in 2024"
    },
    {
      "kind": "llm_pre_event",
      "label": "Six major AI companies decline to submit voluntary transparency reports",
      "notes": "HIT — Alibaba, Anthropic, DeepSeek, Midjourney, Mistral, xAI did not submit.",
      "source": "https://arxiv.org/html/2512.10169v1",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://arxiv.org/html/2512.10169v1",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "FMTI 2025 documents >=5 companies (incl Anthropic) refusing voluntary submission"
    },
    {
      "kind": "llm_pre_event",
      "label": "OpenAI / Anthropic / Google publish zero environmental-impact data",
      "source": "https://arxiv.org/html/2512.10169v1",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://arxiv.org/html/2512.10169v1",
      "expected_date": "2025-12-31",
      "observed_date": "2025-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "FMTI 2025 confirms >=3 frontier labs disclose no energy/carbon/water usage data"
    },
    {
      "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": -4,
      "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 
... (truncated)