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241_014predictionAIAI-timing

The world a year from today will be nothing like the world today

Predictor: Peter Diamandis · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source

Prior probability
65.0%
Current probability
54.6%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2027-01-01 – 2027-10-31
Edges in / out
8 / 5
Tickers exposed
33

Prediction text

The world a year from today will be nothing like the world today | I feel like the world to a year from today will be nothing like the world today

Verbatim quote

From episode "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage"
I feel like the world to a year from today will be nothing like the world today

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 = 54.6%

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: 5 fired ✓ · 4 pending
  1. 2026-09-01 → 2027-08-31pendingDaily-life agentic-AI usage reaches >=50% of US adults
    How: Pew / Gallup / Gartner survey reports >=50% of US adults using agentic AI tools (autonomous task completion, not just chatbot Q&A) on a weekly basis
    Source: https://www.salesforce.com/news/stories/agentic-ai-impact-on-workforce/conf 55%
  2. 2026-09-01 → 2027-12-31pendingMajor regulatory action (US executive order or major bill) addresses AI labor displacement
    How: US executive order, congressional bill, or major state-level legislation passed specifically addressing AI labor displacement (UBI pilot, AI tax, retraining mandate)
    Source: https://www.lawfaremedia.org/article/ai-timelines-and-national-security--the-obstacles-to-agi-by-2027conf 40%
    Notes: Cascade — labor displacement regulation lags adoption by 1-2 years.
  3. 2027-01-01 → 2027-10-31pendingAI-driven white-collar role displacement crosses 5% of US workforce
    How: BLS or major industry survey reports >=5% of US white-collar workforce displaced by AI within prior 12 months
    Source: https://aimultiple.com/ai-job-lossconf 45%
    Notes: Amodei's '50% of white-collar jobs gone in 1-5 years' bracket. 5% threshold is conservative early signal.
  4. 2027-01-01 → 2027-12-31pendingAI doubles GDP-weighted productivity gain in single calendar year
    How: BLS / OECD productivity stats show YoY total-factor productivity growth >=2x prior 5-year average, attributed primarily to AI by Fed / BEA / McKinsey
    Source: https://www.diamandis.com/blog/age-of-abundance-30-human-level-aiconf 30%
    Notes: Diamandis claim of 'unrecognizable world' would require macro-visible productivity step-change.

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
LBP2026-05-10T02:00:02Z54.6%-1.4pp
Network propagation: 56.0% → 54.6%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z56.0%-2.1pp
Network propagation: 58.1% → 56.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z58.1%-2.9pp
Network propagation: 60.9% → 58.1%
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%0.6500.050-0.097
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.6500.050-0.059
prereq235_002
Anthropic will exceed OpenAI in revenue this year (2026).Dave Blundin
74.6%0.6500.050-0.054
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6500.050-0.050
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.044

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+0.044
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050+0.033
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050+0.031
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050+0.014
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050+0.005

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (8)

Predictions that must hit first
TypePredTitleDomainLag
prereq235_002Anthropic will exceed OpenAI in revenue this year (2026).AI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
prereqSEM_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
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
prereqCMQ_002By 2028, AI systems will reach 'independent researcher' level — driving autonomous scientific discoveries without human intervention.AI
prereqSEM_034True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'.AI/AGI

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
  "mode": "PROPHECY",
  "role": "Host",
  "context": "the world to a year from today will be nothing like the world today",
  "to_year": 2027,
  "verbatim": "I feel like the world to a year from today will be nothing like the world today",
  "conv_cues": "nothing like",
  "direction": "HAPPEN",
  "from_year": 2027,
  "timeframe": "2027-03-24",
  "conv_level": "HIGH",
  "milestones": [
    {
      "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": -9,
      "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": -8,
      "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",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "234_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Anthropic will exceed OpenAI in revenue this year (2026).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "235_002",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Daily-life agentic-AI usage reaches >=50% of US adults",
      "source": "https://www.salesforce.com/news/stories/agentic-ai-impact-on-workforce/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.salesforce.com/news/stories/agentic-ai-impact-on-workforce/",
      "expected_date": "2027-03-02",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-08-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Pew / Gallup / Gartner survey reports >=50% of US adults using agentic AI tools (autonomous task completion, not just chatbot Q&A) on a weekly basis"
    },
    {
      "kind": "llm_post_event",
      "label": "Major regulatory action (US executive order or major bill) addresses AI labor displacement",
      "notes": "Cascade — labor displacement regulation lags adoption by 1-2 years.",
      "source": "https://www.lawfaremedia.org/article/ai-timelines-and-national-security--the-obstacles-to-agi-by-2027",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.4,
      "source_url": "https://www.lawfaremedia.org/article/ai-timelines-and-national-security--the-obstacles-to-agi-by-2027",
      "expected_date": "2027-05-02",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "US executive order, congressional bill, or major state-level legislation passed specifically addressing AI labor displacement (UBI pilot, AI tax, retraining mandate)"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-driven white-collar role displacement crosses 5% of US workforce",
      "notes": "Amodei's '50% of white-collar jobs gone in 1-5 years' bracket. 5% threshold is conservative ear
... (truncated)