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237_001predictionAIAI-timing

Increased hacker profile and AI-driven social engineering attacks will become more and more prevalent.

Predictor: Peter Diamandis · ep#237 "OpenClaw Explained: Baby AGI, Security Threats, Mac Mini Became Everyone's Supercomputer" · source

Prior probability
65.0%
Current probability
54.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

Increased hacker profile and AI-driven social engineering attacks will become more and more prevalent. | Here's the deal. We're going to have an increased uh you know, hacker profile out there. Uh, and if you're listening, if you get a phone call that seems unusual, uh, that seems like, uh, there's just something off, it probably is. We're also going to have deep fakes that are coming fast and furious. Your voice can be spoofed. Your image can be spoofed.

Verbatim quote

From episode "OpenClaw Explained: Baby AGI, Security Threats, Mac Mini Became Everyone's Supercomputer"
Here's the deal. We're going to have an increased uh you know, hacker profile out there. Uh, and if you're listening, if you get a phone call that seems unusual, uh, that seems like, uh, there's just something off, it probably is. We're also going to have deep fakes that are coming fast and furious. Your voice can be spoofed. Your image can be spoofed.

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 = 54.8%

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. 2025-04-15hitQ1 2025 deepfake fraud losses cross $200M in North America
    How: Industry report (Sumsub, Pindrop, etc.) confirms deepfake-enabled fraud losses exceed $200M in Q1 2025
    Source: https://www.stingrai.io/blog/deepfake-statistics-2026conf 95%
    Notes: HIT — $200M+ confirmed in Q1 2025.
  2. 2025-06-30hitFBI issues public warning on AI voice impersonation of senior US officials
    How: FBI publishes public service announcement specifically warning about deepfake voice attacks impersonating senior officials
    Source: https://deepstrike.io/blog/deepfake-statistics-2025conf 95%
    Notes: HIT — FBI issued mid-2025 warning.
  3. 2026-01-31hitAnnual US deepfake-driven losses cross $3B in 2025
    How: FBI IC3 or industry reports confirm AI deepfake fraud losses >= $3B for 2025 calendar year
    Source: https://www.stingrai.io/blog/deepfake-statistics-2026conf 95%
    Notes: HIT — Jan-Sep 2025 alone exceeded $3B per reporting.
  4. 2026-03-31hitVoice deepfake contact-center attempts grow >1,000% YoY
    How: Pindrop or major contact-center security vendor reports >10x YoY increase in deepfake voice attack attempts in their network
    Source: https://www.stingrai.io/blog/deepfake-statistics-2026conf 90%
    Notes: HIT — Pindrop reported +1,300% YoY surge.
  5. 2027-01-01 → 2027-12-31pendingAnnual AI-driven fraud losses cross $40B globally
    How: Deloitte or comparable financial fraud annual report confirms global AI-enabled fraud losses cross $40B threshold
    Source: https://deepstrike.io/blog/deepfake-statistics-2025conf 55%

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: 55%)

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
LBP2026-05-10T02:00:02Z54.8%-1.4pp
Network propagation: 56.1% → 54.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z56.1%-2.0pp
Network propagation: 58.2% → 56.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z58.2%-2.8pp
Network propagation: 60.9% → 58.2%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z60.9%-4.1pp
Network propagation: 65.0% → 60.9%
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
prereq234_012
Anthropic revenue will cross OpenAI revenue in middle of 202Peter Diamandis
67.1%0.6500.050-0.099
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6500.050-0.061
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6500.050-0.052
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.042
prereqSEM_008
Training runs costing $10 billion for a single model will coDario Amodei
76.9%0.6500.050-0.041

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050+0.045
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.035
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050+0.015
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050+0.006
prereq231_013
Math is cooked (will be solved), physics cooked, biology chaAlex Wissner-Gross
35.4%0.6200.050+0.003

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
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_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
killerTK14Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq235_030Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033.Biotech/Longevity
prereq232_055We're exiting the industrial age permanently as recursive self-improvement unfolds.AI
prereq241_043ASI will arrive within 2 years to 5 years to this next decadeAI
prereq231_013Math is cooked (will be solved), physics cooked, biology char broiled.AI
prereqCMQ_002By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention.AI

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=qP73cGLQmCU",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "it was a hacker trying to get me to turn off uh you know, two-factor authentication uh and steal my ex account. Uh and I this is going to be more and more prevalent. Uh, another member of my family did get hacked... We're going to have an increased uh you know, hacker profile out there... We're also going to have deep fakes that are coming fast and furious. Your voice can be spoofed. Your image can be spoofed.",
  "to_year": 2027,
  "verbatim": "Here's the deal. We're going to have an increased uh you know, hacker profile out there. Uh, and if you're listening, if you get a phone call that seems unusual, uh, that seems like, uh, there's just something off, it probably is. We're also going to have deep fakes that are coming fast and furious. Your voice can be spoofed. Your image can be spoofed.",
  "conv_cues": "we're going to have; fast and furious",
  "direction": "UP",
  "from_year": 2026,
  "timeframe": "near-term/ongoing",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Q1 2025 deepfake fraud losses cross $200M in North America",
      "notes": "HIT — $200M+ confirmed in Q1 2025.",
      "source": "https://www.stingrai.io/blog/deepfake-statistics-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.stingrai.io/blog/deepfake-statistics-2026",
      "expected_date": "2025-04-15",
      "observed_date": "2025-04-15",
      "research_origin": "deep_research",
      "measurement_criterion": "Industry report (Sumsub, Pindrop, etc.) confirms deepfake-enabled fraud losses exceed $200M in Q1 2025"
    },
    {
      "kind": "llm_pre_event",
      "label": "FBI issues public warning on AI voice impersonation of senior US officials",
      "notes": "HIT — FBI issued mid-2025 warning.",
      "source": "https://deepstrike.io/blog/deepfake-statistics-2025",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://deepstrike.io/blog/deepfake-statistics-2025",
      "expected_date": "2025-07-01",
      "observed_date": "2025-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "FBI publishes public service announcement specifically warning about deepfake voice attacks impersonating senior officials"
    },
    {
      "kind": "llm_pre_event",
      "label": "Annual US deepfake-driven losses cross $3B in 2025",
      "notes": "HIT — Jan-Sep 2025 alone exceeded $3B per reporting.",
      "source": "https://www.stingrai.io/blog/deepfake-statistics-2026",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://www.stingrai.io/blog/deepfake-statistics-2026",
      "expected_date": "2026-01-31",
      "observed_date": "2026-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "FBI IC3 or industry reports confirm AI deepfake fraud losses >= $3B for 2025 calendar year"
    },
    {
      "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": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
... (truncated)