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231_026predictionAIAI-scaling

Something bad will definitely happen with OpenClaw agents by statistical chance.

Predictor: Dave Blundin · ep#231 "Top AI News: Sonnet 4.6, Grok 4.2, Gemini 3 Deep Think, and OpenClaw | EP #231" · source

Prior probability
65.0%
Current probability
52.4%
evolves via intake + LBP
Conviction
5/5
Signal quality
B
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
11 / 5
Tickers exposed
37

Prediction text

Something bad will definitely happen with OpenClaw agents by statistical chance. | it was imminently going to create a massive crime or uh chemical chemical explosion or or worse just because the sheer volume of agents out there that are unconstrained and the fact that it's you know it's looking for open ports all over the internet and something bad is definitely going to happen just by statistical chance

Verbatim quote

From episode "Top AI News: Sonnet 4.6, Grok 4.2, Gemini 3 Deep Think, and OpenClaw | EP #231"
it was imminently going to create a massive crime or uh chemical chemical explosion or or worse just because the sheer volume of agents out there that are unconstrained and the fact that it's you know it's looking for open ports all over the internet and something bad is definitely going to happen just by statistical chance

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 65%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 52.4%

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: 7 fired ✓ · 1 pending
  1. 2025-09-30hitAnthropic detects first AI-orchestrated cyber-espionage campaign
    How: Anthropic publicly discloses first documented AI-agent-driven (>80% autonomous) cyberattack at scale
    Source: https://www.anthropic.com/news/disrupting-AI-espionageconf 99%
    Notes: HIT — Sept 2025 Chinese state-sponsored campaign, ~30 global targets.
  2. 2026-04-30hitMexican government breach: 195M taxpayer records exfiltrated via Claude Code
    How: Public reporting confirms >=100M records exfiltrated using AI agent framework as primary attack vector
    Source: https://blog.cyberdesserts.com/ai-agent-security-risks/conf 90%
    Notes: HIT — 150GB / 195M records confirmed. This is the something bad Blundin predicted.
  3. 2026-04-30hit88% of enterprises report AI agent security incidents
    How: Major industry survey confirms >=80% of enterprises experienced AI-agent-related security incident in prior 12 months
    Source: https://venturebeat.com/security/most-enterprises-cant-stop-stage-three-ai-agent-threats-venturebeat-survey-findsconf 90%
  4. 2026-06-01 → 2027-06-30pendingNumber of publicly running autonomous AI agents crosses 100M
    How: Industry estimate (Gartner/IDC) shows >100M autonomous AI agents in production globally
    Source: Gartner Magic Quadrant, IDC AI agent reportsconf 60%
    Notes: Drives statistical-chance claim.
  5. 2026-06-01 → 2027-12-31pendingFirst publicly attributed physical-world harm event from AI agent
    How: Government or law enforcement attributes a physical-world harm event (CBRN-related, critical infrastructure, fatality) to AI agent action
    Source: FBI, CISA reportsconf 40%
    Notes: Closest to Blundin crime or chemical explosion framing. Open-port scanning AI agents in wild now confirmed.

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: 52%)

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
LBP2026-05-10T02:00:02Z52.4%-1.4pp
Network propagation: 53.7% → 52.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z53.7%-2.5pp
Network propagation: 56.2% → 53.7%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z56.2%-3.4pp
Network propagation: 59.6% → 56.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z59.6%-5.4pp
Network propagation: 65.0% → 59.6%
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
prereq248_039
Social license, not chips or compute, may be the true bottleSalim Ismail
45.0%0.6500.050-0.208
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.650-0.084
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.6500.050-0.071
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6500.050-0.070
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.066

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%0.9200.050-0.032
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.030
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050+0.014
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050-0.012
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.002

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (11)

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
prereq248_039Social license, not chips or compute, may be the true bottleneck to AI and will force expansion into space.AI
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

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2026-06-30[Capability 2026-06] 40] International AI governance summits [231_026] Something bad will definitely happen with OpenClaw agents by statistical chance. [238_020] Math field is 'cooked' — AI will solve research-level mathematics (first open hapending

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=HklyjXKYFng",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "I think one of the reasons Dario rejected it is it it was imminently going to create a massive crime or uh chemical chemical explosion or or worse...something bad is definitely going to happen just by statistical chance",
  "to_year": 2026,
  "verbatim": "it was imminently going to create a massive crime or uh chemical chemical explosion or or worse just because the sheer volume of agents out there that are unconstrained and the fact that it's you know it's looking for open ports all over the internet and something bad is definitely going to happen just by statistical chance",
  "conv_cues": "definitely going to happen",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "imminent",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Anthropic detects first AI-orchestrated cyber-espionage campaign",
      "notes": "HIT — Sept 2025 Chinese state-sponsored campaign, ~30 global targets.",
      "source": "https://www.anthropic.com/news/disrupting-AI-espionage",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.99,
      "source_url": "https://www.anthropic.com/news/disrupting-AI-espionage",
      "expected_date": "2025-09-30",
      "observed_date": "2025-09-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Anthropic publicly discloses first documented AI-agent-driven (>80% autonomous) cyberattack at scale"
    },
    {
      "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": -7,
      "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": -6,
      "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": -5,
      "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": -4,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Mexican government breach: 195M taxpayer records exfiltrated via Claude Code",
      "notes": "HIT — 150GB / 195M records confirmed. This is the something bad Blundin predicted.",
      "source": "https://blog.cyberdesserts.com/ai-agent-security-risks/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://blog.cyberdesserts.com/ai-agent-security-risks/",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Public reporting confirms >=100M records exfiltrated using AI agent framework as primary attack vector"
    },
    {
      "kind": "llm_pre_event",
      "label": "88% of enterprises report AI agent security incidents",
      "source": "https://venturebeat.com/security/most-enterprises-cant-stop-stage-three-ai-agent-th
... (truncated)