← Cockpit
237_006predictionAIAI-scaling

Over the next year, consumers will realize local models are the way to go on privacy, speed, and limits.

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

Prior probability
55.0%
Current probability
40.6%
evolves via intake + LBP
Conviction
4/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2027-10-31
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

Over the next year, consumers will realize local models are the way to go on privacy, speed, and limits. | Well, I would imagine basically every other company is going to eventually try to get to that state. I think over the next year, the consumer level is going to realize local models are the way to go from a privacy perspective, a speed perspective, a limit perspective, and Apple's ahead in that realm right now.

Verbatim quote

From episode "OpenClaw Explained: Baby AGI, Security Threats, Mac Mini Became Everyone's Supercomputer"
Well, I would imagine basically every other company is going to eventually try to get to that state. I think over the next year, the consumer level is going to realize local models are the way to go from a privacy perspective, a speed perspective, a limit perspective, and Apple's ahead in that realm right now.

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

5 prob_history rows
0%25%50%75%100%prior 55%2026-04-302026-05-032026-05-30
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 40.6%

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: 6 fired ✓ · 1 overdue ⏱ · 3 pending
  1. 2025-09-30hitApple deploys 3B-parameter on-device foundation model on iPhone/iPad/Mac
    How: Apple ships a ~3B-parameter on-device LLM in iOS/iPadOS/macOS as part of Apple Intelligence, running natively on hundreds of millions of devices
    Source: https://machinelearning.apple.com/research/introducing-apple-foundation-models — Apple Machine Learning Research and MarketMinute coverage of 3B-param local-first modelconf 95%
    Notes: HIT — Apple Foundation Models live on-device. iPhone 17 Pro reportedly hits ~30 tokens/s with sub-1ms latency.
  2. 2026-01-20hitSnapdragon 8 Elite Gen 5 + Galaxy S26 ship with full on-device reasoning models
    How: Samsung Galaxy S26 with Qualcomm Snapdragon 8 Gen 5 (Elite) ships with on-device LLM running ≥15 tokens/sec for complex reasoning and document analysis
    Source: https://markets.financialcontent.com/stocks/article/tokenring-2026-1-20-the-edge-ai-revolution-how-samsungs-galaxy-s26-and-qualcomms-snapdragon-8-gen-5-are-bringing-massive-reasoning-models-to-your-pocketconf 90%
  3. 2026-01-01 → 2026-09-30overdueGemini Nano deployed at scale on Android Pixel + Samsung devices
    How: Google's Gemini Nano (1.8B-3.25B params, 4-bit quantized) ships on >100M Android devices with sub-100ms NPU-accelerated latency
    Source: https://localaimaster.com/blog/gemini-nano-android-guide — Local AI Master Gemini Nano deployment guide 2026conf 75%
  4. 2026-06-01 → 2027-10-31pendingConsumer survey shows ≥40% prefer on-device AI for privacy
    How: Major consumer survey (Pew, Morning Consult, or similar) finds ≥40% of smartphone users explicitly prefer on-device AI processing over cloud-based services on privacy grounds
    Source: Forthcoming Pew Research / Morning Consult / Statista consumer technology surveysconf 45%
    Notes: Consumer awareness lags hardware capabilities; explicit preference signals require survey instrumentation.
  5. 2026-09-01 → 2027-10-31pendingApp developers shift to on-device-first for sensitive use cases
    How: ≥3 major productivity/health/finance apps (e.g., 1Password, Notion, MyFitnessPal class) publicly migrate AI features from cloud to on-device defaults
    Source: App Store / Play Store release notes; developer blogsconf 50%

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: 41%)

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_sweep2026-05-30T22:15:00Z40.6%-4.8pp
metadata_milestone_miss_sweep bayesian_v2 n=1 inside=0.406 blend=0.406 LLR=-0.196 κ=0.64 no_blend
Raw metadata
{
  "trf": 0.7755582453769891,
  "kappa": 0.6429,
  "base_rate": null,
  "predictor": "Alex Finn",
  "total_llr": -0.4054651081081644,
  "grace_days": 7,
  "bayesian_v2": true,
  "prior_logit": -0.18367569873006,
  "bayes_factor": "1.2:1 against",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.45420973759066463,
  "kappa_source": "predictor_table",
  "n_milestones": 1,
  "blend_applied": false,
  "contributions": [
    {
      "llr": -0.4054651081081644,
      "kind": "llm_pre_event",
      "kappa": 0.482175,
      "label": "Gemini Nano deployed at scale on Android Pixel + Samsung devices",
      "weight": 0.4,
      "strength": "weak",
      "confidence": 0.75,
      "source_url": "https://localaimaster.com/blog/gemini-nano-android-guide",
      "adjusted_llr": -0.19550513850205417,
      "expected_date": "2026-05-17",
      "measurement_criterion": "Google's Gemini Nano (1.8B-3.25B params, 4-bit quantized) ships on >100M Android devices with sub-100ms NPU-accelerated latency"
    }
  ],
  "evidence_kind": "metadata_milestone_miss_sweep",
  "inside_source": "history_v2",
  "inside_weight": 0.45710922823610756,
  "outside_weight": 0.5428907717638924,
  "posterior_prob": 0.4063244843477886,
  "posterior_logit": -0.37918083723211415,
  "predictor_brier": 0.0122,
  "inside_posterior": 0.4063244843477886,
  "blended_posterior": 0.4063244843477886,
  "reference_class_id": null,
  "total_adjusted_llr": -0.19550513850205417,
  "predictor_n_resolved": 2
}
LBP2026-05-10T02:00:02Z45.4%-1.1pp
Network propagation: 46.5% → 45.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z46.5%-2.0pp
Network propagation: 48.5% → 46.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
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+0.094
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.550+0.084
prereqSEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated Jensen Huang
86.1%0.5500.050+0.070
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.550+0.069
prereqSEM_011
Nvidia became the world's first $5 trillion company (late 20Jensen Huang
85.5%0.5500.050+0.068

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq248_033
Superhuman AI will make BCI-enhanced humans irrelevant compaDave Blundin
36.7%0.6000.050-0.085
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.066
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.057
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.043
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.030

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
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
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq248_033Superhuman AI will make BCI-enhanced humans irrelevant compared to AI 2 years from today.AI

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.554manifoldWill the "Local Taxpayer Protection Act to Save Proposition 13" pass19%mentionspending2026-04-25

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": "I think over the next year, the consumer level is going to realize local models are the way to go from a privacy perspective, a speed perspective, a limit perspective, and Apple's ahead in that realm right now. They're ahead on the consumer side when it comes to local AI.",
  "to_year": 2027,
  "verbatim": "Well, I would imagine basically every other company is going to eventually try to get to that state. I think over the next year, the consumer level is going to realize local models are the way to go from a privacy perspective, a speed perspective, a limit perspective, and Apple's ahead in that realm right now.",
  "conv_cues": "is going to realize",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "next 12 months (by 2027-03)",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Apple deploys 3B-parameter on-device foundation model on iPhone/iPad/Mac",
      "notes": "HIT — Apple Foundation Models live on-device. iPhone 17 Pro reportedly hits ~30 tokens/s with sub-1ms latency.",
      "source": "https://machinelearning.apple.com/research/introducing-apple-foundation-models — Apple Machine Learning Research and MarketMinute coverage of 3B-param local-first model",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
      "confidence": 0.95,
      "source_url": "https://machinelearning.apple.com/research/introducing-apple-foundation-models",
      "expected_date": "2025-09-30",
      "observed_date": "2025-09-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Apple ships a ~3B-parameter on-device LLM in iOS/iPadOS/macOS as part of Apple Intelligence, running natively on hundreds of millions of devices"
    },
    {
      "kind": "llm_pre_event",
      "label": "Snapdragon 8 Elite Gen 5 + Galaxy S26 ship with full on-device reasoning models",
      "source": "https://markets.financialcontent.com/stocks/article/tokenring-2026-1-20-the-edge-ai-revolution-how-samsungs-galaxy-s26-and-qualcomms-snapdragon-8-gen-5-are-bringing-massive-reasoning-models-to-your-pocket",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.9,
      "source_url": "https://markets.financialcontent.com/stocks/article/tokenring-2026-1-20-the-edge-ai-revolution-how-samsungs-galaxy-s26-and-qualcomms-snapdragon-8-gen-5-are-bringing-massive-reasoning-models-to-your-pocket",
      "expected_date": "2026-01-31",
      "observed_date": "2026-01-20",
      "research_origin": "deep_research",
      "measurement_criterion": "Samsung Galaxy S26 with Qualcomm Snapdragon 8 Gen 5 (Elite) ships with on-device LLM running ≥15 tokens/sec for complex reasoning and document analysis"
    },
    {
      "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": -8,
      "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": -7,
      "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": -6,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
    
... (truncated)