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CYB_002predictionMacro/Economyintegration-schlep

Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and per...

Predictor: Leopold Aschenbrenner

Prior probability
85.0%
Current probability
85.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
in_progress
Window
2026-01-01 – 2030-12-31
Edges in / out
0 / 0
Tickers exposed
0

Prediction text

Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the 'integration schlep' — characterized by legacy software incompatibilities, rigid corporate bureaucracies, and persistent human inertia. This delays realization of instantaneous economic transformation despite capability arriving. | Enterprise agent-integration benchmark publications

Key catalyst: Enterprise agent-integration benchmark publications

Watch events: Gartner enterprise-AI-maturity index; BCG AI transformation surveys

Resolution evidence

Status: in_progress

Enterprise AI deployment surveys (Gartner, BCG, McKinsey) 2025-2026 show 70%+ of organizations struggling with integration despite frontier model availability.

Predictor: Leopold Aschenbrenner

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0417
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Leopold Aschenbrenner 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

0 prob_history rows
No probability history yet.

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: 3 pending
  1. 2026-11-26pendingQ1 window check-in (25%)
  2. 2027-10-21pendingQ2 window check-in (50%)
  3. 2028-09-14pendingQ3 window check-in (75%)

No downstream cascades — this prediction is a leaf in the dependency graph.

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: 85%)

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

No probability history yet. The first evidence will arrive via /api/intake or the daily milestone sweep / weekly LBP run.

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importEnterprise AI deployment surveys (Gartner, BCG, McKinsey) 2025-2026 show 70%+ of organizations struggling with integration despite frontier model availability.

Linked documents (10)

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

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-VC/Researcher",
  "context": "Bifurcation thesis: capability timelines accelerate while economic-deployment timelines lag. Couples with INF_002 (The Project), SEM_002 (AGI 2025-26), AI_022 (80% jobs by 2035).",
  "to_year": 2030,
  "conv_cues": "coined term; nuanced caveat to pure-acceleration thesis",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "2026-2030",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2026-11-26",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2027-10-21",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2028-09-14",
      "observed_date": null
    },
    {
      "kind": "event",
      "label": "Despite raw agentic tool-use benchmarks tracking ahead of schedule, the enterprise reality involves significant operational friction — the '",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "CYB_002",
      "expected_date": "2029-08-10",
      "observed_date": null
    }
  ],
  "repeat_eps": 1,
  "sub_domain": "Economy",
  "affiliation": "Situational Awareness LP",
  "attribution": "CITED",
  "granularity": "YEAR_RANGE",
  "source_refs": "6",
  "target_date": "2028-06-15T00:00:00",
  "display_date": "2029-08-10",
  "episode_date": "2026-04-21T00:00:00",
  "key_catalyst": "Enterprise agent-integration benchmark publications",
  "parse_method": "YEAR_RANGE midpoint",
  "domain_bucket": "Markets",
  "episode_title": "Convergence of Synthetic Cognition: Agents, Memory, Commerce & Cybersecurity (2023-2026)",
  "flag_repeated": false,
  "in_5yr_window": true,
  "source_report": "AI Cyber and Memory Predictions Request.md (2026-04-21)",
  "appears_in_eps": "CYB-RPT",
  "futurist_phase": "Phase 2 (2027-2028)",
  "is_macro_claim": false,
  "total_mentions": 1,
  "priority_weight": 4,
  "report_evidence": "Anchor section: Amplification of the Human Worker.",
  "active_end_month": "2030-12",
  "recent_statement": "EA Forum retrospective analysis 2026.",
  "watch_events_raw": "Gartner enterprise-AI-maturity index; BCG AI transformation surveys",
  "months_from_today": 26,
  "probability_layer": "Higher (in-flight)",
  "active_start_month": "2026-01",
  "flag_nia_bracketed": false,
  "track_record_grade": "A",
  "track_record_notes": "Situational Awareness framework directionally accurate; integration lag thesis widely validated.",
  "contradicting_notes": "Integration friction could abruptly collapse if agent-infrastructure standards (MCP, AAIF) mature rapidly.",
  "flag_near_term_2027": false,
  "flag_high_conviction": true,
  "milestones_phase2_at": "2026-05-01T21:12:50.931592+00:00",
  "milestones_derived_at": "2026-05-02T03:08:50.739523+00:00",
  "reference_class_match": {
    "top_n": [
      {
        "id": "humanoid_commercial_volume",
        "cosine": 0.5237
      }
    ],
    "margin": 0.5237,
    "best_id": "humanoid_commercial_volume",
    "decision": "below_threshold",
    "second_id": null,
    "threshold": 0.55,
    "computed_at": "2026-04-30T01:49:13.796883+00:00",
    "best_similarity": 0.5237,
    "margin_required": 0.05,
    "second_similarity": null
  },
  "validation_status_raw": "CONFIRMED-IN-PROGRESS",
  "composite_signal_score": 40.8,
  "flag_priority_watchlist": false,
  "flag_timeline_near_term": false,
  "recent_statement_source": "forum.effectivealtruism.org 2026"
}