← Cockpit
237_011predictionAIAI-scaling

AI agents will have voices in the near future.

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

Prior probability
55.0%
Current probability
43.5%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-06-01 – 2026-06-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

AI agents will have voices in the near future. | I mean, they're going to have voices in the near future. Uh, one Henry called me one time on my phone at one point, so might as well be people, right?

Verbatim quote

From episode "OpenClaw Explained: Baby AGI, Security Threats, Mac Mini Became Everyone's Supercomputer"
I mean, they're going to have voices in the near future. Uh, one Henry called me one time on my phone at one point, so might as well be people, right?

Predictor: Alex Finn

κ + Brier as of 2026-05-22
κ (discount)
0.643
Brier
0.0122
excellent
Hits / Misses
1 / 0
of 2 resolved
Hit rate
50.0%
Calibration plot (stated vs observed)

Evidence about this node from Alex Finn 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

3 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-04-302026-05-02
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 43.5%

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 ✓ · 1 overdue ⏱
  1. 2026-04-15hitElevenLabs Conversational AI 2.0 with custom turn-taking model in production
    How: ElevenLabs ships Conversational AI 2.0 with turn-taking, RAG, and batch calling APIs to general availability
    Source: ElevenLabs Agents docs / 2026 release notesconf 95%
    Notes: HIT — Conv AI 2.0 GA in 2026 with turn-taking, multimodal hooks, MCP integrations across Salesforce/HubSpot/Twilio/Vonage.
  2. 2026-01-01 → 2026-06-30overdueOpenAI Realtime API voice agents at GA with sub-second latency
    How: OpenAI Realtime API exits beta and ships measurable <800ms first-token voice response across 3+ third-party deployments
    Source: OpenAI Realtime API documentation; Deepgram benchmarksconf 78%
  3. 2026-03-01 → 2026-12-31pendingVoice agents handle outbound call campaigns at enterprise scale
    How: Public case study of an enterprise running >=1M outbound voice-agent calls/month with personalization
    Source: ElevenLabs batch calling APIsconf 65%
    Notes: Batch calling APIs with per-recipient personalization are already in production.
  4. 2026-04-01 → 2026-12-31pendingVoice agent deployments >100K live across web/mobile/telephony
    How: ElevenLabs or comparable platform discloses >100,000 production voice-agent deployments
    Source: ElevenLabs platform metricsconf 70%
    Notes: ElevenLabs already integrates with Salesforce, HubSpot, Zendesk, ServiceNow, Twilio, Vonage, Genesys plus any MCP API — scaling rapidly.
  5. 2026-09-01 → 2027-06-30pendingMajor US bank or telco deploys voice agent for >50% of customer service calls
    How: Public disclosure that a top-10 US bank or telco routes >=50% of inbound customer-service voice calls to AI agents
    Source: Vendor case studies, earnings call disclosuresconf 45%
    Notes: Cascade — confirms 'they're going to have voices' transitions from interface novelty to default modality.

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: 43%)

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
metadata_milestone_miss_sweep2026-05-02T22:07:21Z43.5%-5.0pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.435 blend=0.435 LLR=-0.203 κ=0.64 no_blend
Raw metadata
{
  "trf": 1,
  "kappa": 0.6429,
  "base_rate": null,
  "predictor": "Alex Finn",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.05929237878670375,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.4851812464327434,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.5014620000000001,
      "label": "OpenAI Realtime API voice agents at GA with sub-second latency",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.78,
      "source_url": "https://deepgram.com/learn/elevenlabs-real-time-voice-agent",
      "adjusted_llr": -0.20332534404213637,
      "expected_date": "2026-04-01",
      "measurement_criterion": "OpenAI Realtime API exits beta and ships measurable <800ms first-token voice response across 3+ third-party deployments"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.3,
  "outside_weight": 0.7,
  "posterior_prob": 0.43472032317173,
  "posterior_logit": -0.2626177228288401,
  "predictor_brier": 0.0122,
  "inside_posterior": 0.43472032317173,
  "blended_posterior": 0.43472032317173,
  "reference_class_id": null,
  "total_adjusted_llr": -0.20332534404213637,
  "predictor_n_resolved": 2
}
LBP2026-04-30T16:39:51Z48.5%-2.6pp
Network propagation: 51.2% → 48.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z51.2%-3.8pp
Network propagation: 55.0% → 51.2%
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
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.550+0.065
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.550-0.060
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.550+0.055
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.5500.050-0.049
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.5500.050-0.048

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%0.9200.050-0.100
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050-0.064
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.053
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.048
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.020

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (10)

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
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

Linked documents (8)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.685manifoldat the end of 2026, will an AI be able to generate a full high-quality tv ep to a prompt?35%mentionspending2026-05-31
0.666manifoldWill Ben Yan experience AI psychosis in 2026?60%mentionspending2026-04-24
0.625manifoldbefore 2035, will anyone give a UN speech in toki pona?9%mentionspending2026-05-18
0.620manifoldWill I speak to a human in the next week?72%mentionspending2026-05-04
0.608manifoldWill any NFL team(s) use significant amounts of AI generated content in their 2026 schedule release video?64%mentionspending2026-05-11
0.555github_releasefacebookresearch/facestar male_speaker_testsetmentionspending2022-03-25
0.552github_releasefacebookresearch/facestar male_speaker_trainsetmentionspending2022-03-25
0.548polymarketHenry Cavill announced as next James Bond?1%mentionspending2025-08-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=qP73cGLQmCU",
  "mode": "PREDICTION",
  "role": "Guest-Other",
  "context": "So, why not? >> I mean, they're going to have voices in the near future. Uh, one Henry called me one time on my phone at one point, so might as well be people, right?",
  "to_year": 2027,
  "verbatim": "I mean, they're going to have voices in the near future. Uh, one Henry called me one time on my phone at one point, so might as well be people, right?",
  "conv_cues": "going to have",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "near future",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "ElevenLabs Conversational AI 2.0 with custom turn-taking model in production",
      "notes": "HIT — Conv AI 2.0 GA in 2026 with turn-taking, multimodal hooks, MCP integrations across Salesforce/HubSpot/Twilio/Vonage.",
      "source": "ElevenLabs Agents docs / 2026 release notes",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://elevenlabs.io/docs/eleven-agents/overview",
      "expected_date": "2026-03-01",
      "observed_date": "2026-04-15",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-04-30",
        "from": "2026-01-01"
      },
      "measurement_criterion": "ElevenLabs ships Conversational AI 2.0 with turn-taking, RAG, and batch calling APIs to general availability"
    },
    {
      "kind": "llm_pre_event",
      "label": "OpenAI Realtime API voice agents at GA with sub-second latency",
      "source": "OpenAI Realtime API documentation; Deepgram benchmarks",
      "status": "overdue",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.78,
      "source_url": "https://deepgram.com/learn/elevenlabs-real-time-voice-agent",
      "expected_date": "2026-04-01",
      "miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
      "miss_emitted_by": "metadata_milestone_sweep",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-06-30",
        "from": "2026-01-01"
      },
      "measurement_criterion": "OpenAI Realtime API exits beta and ships measurable <800ms first-token voice response across 3+ third-party deployments"
    },
    {
      "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": -4,
      "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": -3,
      "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": -2,
      "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": -1,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "event",
      "label": "AI agents will have voices in the near future.",
      "status": "pending",
      "weight": 1,
      "ordinal": 0,
      "source_id": "237_011",
      "expec
... (truncated)