← Cockpit
232_009predictionAIAI-timing

Startups will continue to deploy dangerous AI tech even after hyperscalers voluntarily pause it.

Predictor: Ben Horowitz · ep#232 "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232" · source

Prior probability
55.0%
Current probability
45.8%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2027-06-01 – 2027-06-30
Edges in / out
12 / 5
Tickers exposed
33

Prediction text

Startups will continue to deploy dangerous AI tech even after hyperscalers voluntarily pause it. | so far, you know, bite dance is like Google, they have to be cautious and conscientious. They can't just But then every time this happens, a small startup then does it again right after, you know, they don't care because they're a startup.

Verbatim quote

From episode "Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232"
so far, you know, bite dance is like Google, they have to be cautious and conscientious. They can't just But then every time this happens, a small startup then does it again right after, you know, they don't care because they're a startup.

Predictor: Ben Horowitz

κ + Brier as of 2026-05-22
κ (discount)
0.500
Brier
Hits / Misses
0 / 0
Hit rate

Evidence about this node from Ben Horowitz 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 55%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 45.8%

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: 6 fired ✓ · 3 pending
  1. 2025-02-03hitHyperscaler announces voluntary capability moratorium or red-line
    How: Meta, Google, OpenAI, or Anthropic publicly states it will not release a class of AI capability deemed too risky (e.g., Meta high-risk/critical-risk framework)
    Source: https://techcrunch.com/2025/02/03/meta-says-it-may-stop-development-of-ai-systems-it-deems-too-risky/conf 95%
    Notes: HIT - Meta's Frontier AI Framework explicitly carves out high-risk/critical-risk classes it will not release. Sets the baseline pause behavior.
  2. 2026-04-01 → 2027-06-30pendingOpen-source startup releases capability hyperscaler refused to ship
    How: Independent reporting documents an open-source / startup release of an AI capability (image gen, voice cloning, autonomous code agent, etc.) that a major lab had previously withheld for safety
    Source: https://whatllm.org/blog/new-ai-models-april-2026 - Anthropic Mythos held while open-source closes 6-12 month gapconf 80%
    Notes: Amodei explicitly forecasts open-source matching withheld capabilities within 6-12 months.
  3. 2026-04-01 → 2027-12-31pendingChinese / non-US lab releases model with capability US labs withheld
    How: ByteDance, DeepSeek, Alibaba, or other non-US lab ships a model whose capability set was previously gated by US frontier labs
    Source: https://medium.com/@marc.bara.iniesta/q1-2026-the-frontier-ai-field-is-splitting-b5b7f6a49ba9conf 65%
    Notes: Direct fit for the prediction's ByteDance vs hyperscaler dynamic.
  4. 2026-06-01 → 2027-12-31pendingFederal/state enforcement action against startup for unsafe AI deployment
    How: FTC, state AG, or DOJ files action against an AI startup for deploying capability hyperscalers had withheld (deepfakes, CSAM, autonomous weapons)
    Source: https://www.theregreview.org/2026/02/26/champagne-president-trump-targets-state-based-ai-regulations/conf 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: 46%)

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
LBP2026-05-10T02:00:02Z45.8%-1.1pp
Network propagation: 47.0% → 45.8%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z47.0%-1.8pp
Network propagation: 48.8% → 47.0%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z48.8%-2.8pp
Network propagation: 51.5% → 48.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z51.5%-3.5pp
Network propagation: 55.0% → 51.5%
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%0.5500.050-0.076
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.5500.050-0.044
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.550+0.042
prereq235_002
Anthropic will exceed OpenAI in revenue this year (2026).Dave Blundin
74.6%0.5500.050-0.040
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.5500.050-0.037

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereqCMQ_002
By 2028, AI systems will reach 'independent researcher' leveSam Altman
31.4%0.5500.050-0.038
prereq241_043
ASI will arrive within 2 years to 5 years to this next decadPeter Diamandis
35.9%0.6500.050-0.038
prereq235_030
Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203Ray Kurzweil
39.2%0.7500.050-0.027
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.012
prereqSEM_034
True artificial general intelligence will be achieved betweeDemis Hassabis
28.7%0.5500.050-0.012

Ticker exposure

33 ticker(s) linked

Beneficiaries (23)

SOUNCRWVSITMNVDAARMGTLBBBAITSMAPLDCEVAAIMSFTMRVLSFTBYORCLQCOMAVGOBABAAMDGOOGLIBMAMZNMETA

Adverse (6)

WNSCHGGCTSHIBMINFYACN

Prerequisites (12)

Predictions that must hit first
TypePredTitleDomainLag
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
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
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
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
correlateS_AGI_FAST_2027AGI fast: drop-in remote worker by 2027-09agi_general_capability
correlateS_AGI_SLOW_2031AGI slow: Schmidt/Hassabis 5-10 year pathagi_general_capability
correlateS_AGI_WINTER_2036PLUSAGI delayed: capability plateau or AI winteragi_general_capability
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=C1GLT9_tag0",
  "mode": "PREDICTION",
  "role": "Guest-VC",
  "context": "So, so far, you know, bite dance is like Google, they have to be cautious and conscientious. They can't just But then every time this happens, a small startup then does it again right after, you know, they don't care because they're a startup.",
  "to_year": 2028,
  "verbatim": "so far, you know, bite dance is like Google, they have to be cautious and conscientious. They can't just But then every time this happens, a small startup then does it again right after, you know, they don't care because they're a startup.",
  "conv_cues": "every time this happens",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "recurring / ongoing",
  "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": "Hyperscaler announces voluntary capability moratorium or red-line",
      "notes": "HIT - Meta's Frontier AI Framework explicitly carves out high-risk/critical-risk classes it will not release. Sets the baseline pause behavior.",
      "source": "https://techcrunch.com/2025/02/03/meta-says-it-may-stop-development-of-ai-systems-it-deems-too-risky/",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://techcrunch.com/2025/02/03/meta-says-it-may-stop-development-of-ai-systems-it-deems-too-risky/",
      "expected_date": "2026-07-02",
      "observed_date": "2025-02-03",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-01-01"
      },
      "measurement_criterion": "Meta, Google, OpenAI, or Anthropic publicly states it will not release a class of AI capability deemed too risky (e.g., Meta high-risk/critical-risk framework)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Open-source startup releases capability hyperscaler refused to ship",
      "notes": "Amodei explicitly forecasts open-source matching withheld capabilities within 6-12 months.",
      "source": "https://whatllm.org/blog/new-ai-models-april-2026 - Anthropic Mythos held while open-source closes 6-12 month gap",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.8,
      "source_url": "https://whatllm.org/blog/new-ai-models-april-2026",
      "expected_da
... (truncated)