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240_007predictionGeopoliticsAI-scaling

Regulators will dust off antitrust legislation against NVIDIA

Predictor: Dave Blundin · ep#240 "NVIDIA's $1 Trillion Prediction, Anthropic Beats OpenAI, Tesla vs. TSMC & The CS Job Collapse" · source

Prior probability
55.0%
Current probability
37.8%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

Regulators will dust off antitrust legislation against NVIDIA | They're dusting off their antitrust uh legislation as we speak.

Verbatim quote

From episode "NVIDIA's $1 Trillion Prediction, Anthropic Beats OpenAI, Tesla vs. TSMC & The CS Job Collapse"
They're dusting off their antitrust uh legislation as we speak.

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

5 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-05-032026-06-04
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 37.8%

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: 4 fired ✓ · 2 overdue ⏱
  1. 2026-05-01 → 2026-06-22overdueDOJ second-request CID or formal investigation announcement on NVIDIA
    How: DOJ Antitrust Division issues civil investigative demand or NVIDIA 10-Q/8-K discloses formal antitrust probe expansion
    Source: Tom's Hardware DOJ investigation; Lexologyconf 55%
  2. 2026-05-01 → 2026-06-22overdueSenate or House antitrust subcommittee hearing scheduled with NVIDIA testimony request
    How: Senate Judiciary Subcommittee on Competition Policy or House Judiciary Antitrust Subcommittee schedules hearing where NVIDIA executives are subpoenaed or invited
    Source: Warren/Blumenthal letter on Groq deal Mar 20 2026conf 40%
  3. 2026-05-15 → 2026-09-30pendingFTC opens parallel investigation tied to AI bundling / tying allegations
    How: FTC press release or competitor complaint surfaces formal FTC inquiry into NVIDIA CUDA/CUDA-X bundling practices
    Source: Lexology; Benzinga prior FTC reportingconf 35%
  4. 2026-05-01 → 2026-12-31pendingChina SAMR formal anti-monopoly penalty or remedy on NVIDIA
    How: China State Administration for Market Regulation issues formal violation finding, fine, or behavioral remedy from anti-monopoly probe
    Source: CNBC/CNN Sept 15 2025 China probeconf 45%
  5. 2026-09-01 → 2027-12-31pendingNVIDIA agrees to conduct or behavioral remedy (consent decree)
    How: NVIDIA enters consent decree, voluntary divestiture, or licensing-remedy agreement with US regulator
    Source: antitrust history class action precedentconf 25%

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: 38%)

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_sweep2026-06-04T22:12:05Z37.8%-7.7pp
metadata_milestone_miss_sweep bayesian_v2 n=2 inside=0.378 blend=0.378 LLR=-0.316 κ=0.82 no_blend
Raw metadata
{
  "trf": 0.8646529159546616,
  "kappa": 0.8214,
  "base_rate": null,
  "predictor": "Dave Blundin",
  "total_llr": -0.8109302162163288,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.18367569873006,
  "bayes_factor": "1.4:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.45420973759066463,
  "kappa_source": "predictor_table",
  "n_milestones": 2,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.45177000000000006,
      "label": "DOJ second-request CID or formal investigation announcement on NVIDIA",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.55,
      "source_url": "https://www.tomshardware.com/tech-industry/artificial-intelligence/us-doj-launches-nvidia-antitrust-investigation-investigating-potential-strong-arm-tactics-related-to-ai-gpu-supply",
      "adjusted_llr": -0.18317697189002544,
      "expected_date": "2026-05-27",
      "measurement_criterion": "DOJ Antitrust Division issues civil investigative demand or NVIDIA 10-Q/8-K discloses formal antitrust probe expansion"
    },
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.32856,
      "label": "Senate or House antitrust subcommittee hearing scheduled with NVIDIA testimony request",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.4,
      "source_url": "https://intuitionlabs.ai/articles/nvidia-groq-ai-inference-deal",
      "adjusted_llr": -0.1332196159200185,
      "expected_date": "2026-05-27",
      "measurement_criterion": "Senate Judiciary Subcommittee on Competition Policy or House Judiciary Antitrust Subcommittee schedules hearing where NVIDIA executives are subpoenaed or invited"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3947429588317368,
  "outside_weight": 0.6052570411682632,
  "posterior_prob": 0.3775236813432619,
  "posterior_logit": -0.5000722865401039,
  "predictor_brier": 0.0491,
  "inside_posterior": 0.3775236813432619,
  "blended_posterior": 0.3775236813432619,
  "reference_class_id": null,
  "total_adjusted_llr": -0.3163965878100439,
  "predictor_n_resolved": 9
}
LBP2026-05-10T02:00:02Z45.4%-1.1pp
Network propagation: 46.5% → 45.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z46.5%-2.0pp
Network propagation: 48.5% → 46.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z48.5%-2.6pp
Network propagation: 51.2% → 48.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z51.2%-3.8pp
Network propagation: 55.0% → 51.2%
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%0.0500.550+0.122
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.550+0.112
prereqSEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated Jensen Huang
86.1%0.5500.050+0.099
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.550+0.097
prereqSEM_011
Nvidia became the world's first $5 trillion company (late 20Jensen Huang
85.5%0.5500.050+0.097

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_057
First person to arrive on moon/Mars will find bed made by OpDave Blundin
34.8%0.6000.050-0.074
prereq242_023
World will have 10x more wealth around 2034-2036Dave Blundin
34.2%0.6000.050-0.067
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.061
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.052
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.048

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (10)

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
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
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereq232_057First person to arrive on moon/Mars will find bed made by Optimus robots; robots not astronauts lead exploration.Robotics
prereq242_023World will have 10x more wealth around 2034-2036Macro/Economy

Linked documents (2)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.660edgar_8kNVIDIA CORP (NVDA) (CIK 0001045810)mentionspending2026-05-08
0.566manifoldVALVE?!4%mentionspending2026-04-23

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=uOGHXAfvK8w",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "how long before regulators frame Nvidia as a critical infrastructure... They're dusting off their antitrust uh legislation as we speak.",
  "to_year": 2026,
  "verbatim": "They're dusting off their antitrust uh legislation as we speak.",
  "conv_cues": "as we speak",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "Near-term",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "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": -6,
      "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": -5,
      "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": -4,
      "source_id": "SEM_014",
      "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": -3,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "DOJ second-request CID or formal investigation announcement on NVIDIA",
      "source": "Tom's Hardware DOJ investigation; Lexology",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -2,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.tomshardware.com/tech-industry/artificial-intelligence/us-doj-launches-nvidia-antitrust-investigation-investigating-potential-strong-arm-tactics-related-to-ai-gpu-supply",
      "expected_date": "2026-05-27",
      "miss_emitted_at": "2026-06-04T22:12:05.653784+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-06-22",
        "from": "2026-05-01"
      },
      "measurement_criterion": "DOJ Antitrust Division issues civil investigative demand or NVIDIA 10-Q/8-K discloses formal antitrust probe expansion"
    },
    {
      "kind": "llm_pre_event",
      "label": "Senate or House antitrust subcommittee hearing scheduled with NVIDIA testimony request",
      "source": "Warren/Blumenthal letter on Groq deal Mar 20 2026",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.4,
      "source_url": "https://intuitionlabs.ai/articles/nvidia-groq-ai-inference-deal",
      "expected_date": "2026-05-27",
      "miss_emitted_at": "2026-06-04T22:12:05.653784+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-06-22",
        "from": "2026-05-01"
      },
      "measurement_criterion": "Senate Judiciary Subcommittee on Competition Policy or House Judiciary Antitrust Subcommittee schedules hearing where NVIDIA executives are subpoenaed or invited"
    },
    {
      "kind": "event",
      "label": "Regulators will dust off antitrust legislation against NVIDIA",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "240_00
... (truncated)