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238_030predictionAIAI-scaling

AI will soon make very good venture capital investment decisions

Predictor: Dave Blundin · ep#238 "Meta Buys Moltbook, GPT 5.4, and Fruitfly Brain Upload | Moonshots Live at The Abundance Summit 238" · source

Prior probability
60.0%
Current probability
46.2%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
6 / 0
Tickers exposed
37

Prediction text

AI will soon make very good venture capital investment decisions | we're very close to having the AI make very, very good venture investment decisions and, you know, we still obviously double check and triple check and there's a huge human component, but I just can't believe how good it is.

Verbatim quote

From episode "Meta Buys Moltbook, GPT 5.4, and Fruitfly Brain Upload | Moonshots Live at The Abundance Summit 238"
we're very close to having the AI make very, very good venture investment decisions and, you know, we still obviously double check and triple check and there's a huge human component, but I just can't believe how good it is.

Predictor: Dave Blundin

κ + Brier as of 2026-05-22
κ (discount)
0.821
Brier
0.0491
excellent
Hits / Misses
3 / 2
of 9 resolved
Hit rate
33.3%
Calibration plot (stated vs observed)

Evidence about this node from Dave Blundin 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 60%2026-04-302026-05-032026-05-10
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 46.2%

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: 1 fired ✓ · 7 pending
  1. 2026-04-30hit85% of VCs use AI for daily tasks — survey confirms automation penetration
    How: Industry survey (e.g. Affinity, PitchBook) shows ≥85% of VC GPs use AI for daily tasks and ≥80% for deal sourcing
    Source: https://www.affinity.co/guides/vc-ai-toolsconf 85%
    Notes: HIT — 85% of VCs already using AI to automate daily tasks per 2026 survey
  2. 2026-10-21pendingQ1 window check-in (25%)
  3. 2026-06-01 → 2027-12-31pendingSequoia / a16z announces formal AI-augmented investment committee process
    How: Top-quartile VC firm (Sequoia, a16z, Benchmark, Founders Fund) publicly discloses AI as formal IC input mechanism
    Source: https://techcrunch.com/2026/04/16/new-leaders-new-fund-sequoia-has-raised-7b-to-expand-its-ai-bets/conf 55%
  4. 2027-04-13pendingQ2 window check-in (50%)
  5. 2026-09-01 → 2027-12-31pendingRowspace (AI for VC) reaches Series B / $1B+ valuation
    How: Rowspace closes Series B at ≥$1B valuation following $50M Sequoia-led Series A in Feb 2026
    Source: https://fortune.com/2026/02/25/rowspace-sequoia-ai-financial-platform-private-equity-investment-venture-capital/conf 60%
  6. 2027-10-04pendingQ3 window check-in (75%)
  7. 2027-01-01 → 2028-12-31pendingFirst AI-led VC fund publicly reports portfolio outperforming peer median
    How: Any VC fund where AI is documented as primary screening/selection mechanism reports portfolio IRR exceeding Cambridge Associates median by ≥5pts after 2-yr vintage
    Source: https://chatfin.ai/blog/top-10-best-ai-tools-for-private-equity-vc/conf 45%
  8. 2027-06-01 → 2028-12-31pendingAI auto-sourced deal leads to top-decile exit / unicorn
    How: Public reporting confirms AI deal-sourcing tool surfaced startup that subsequently became unicorn or had top-decile exit
    Source: https://www.affinity.co/blog/top-venture-capital-firms-investing-in-aiconf 50%

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: 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
LBP2026-05-10T02:00:02Z46.2%-1.9pp
Network propagation: 48.1% → 46.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z48.1%-3.7pp
Network propagation: 51.8% → 48.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z51.8%-2.8pp
Network propagation: 54.6% → 51.8%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z54.6%-5.4pp
Network propagation: 60.0% → 54.6%
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
prereqS_AGI_MID_2029
AGI mid: Kurzweil 2029 path
35.0%0.6000.050-0.219
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.083
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.600+0.072
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.600+0.056
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.054

Top outgoing (children)

Predictions THIS node influences

No outgoing edges.

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (6)

Predictions that must hit first
TypePredTitleDomainLag
prereqS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
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 (0)

Predictions enabled by this
TypePredTitleDomainLag
No dependents

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=d__HRChE2ZE",
  "mode": "PREDICTION",
  "role": "Host",
  "caveats": "still requires human oversight",
  "context": "we're very close to having the AI make very, very good venture investment decisions and, you know, we still obviously double check and triple check and there's a huge human component, but I just can't believe how good it is.",
  "verbatim": "we're very close to having the AI make very, very good venture investment decisions and, you know, we still obviously double check and triple check and there's a huge human component, but I just can't believe how good it is.",
  "conv_cues": "very close",
  "direction": "HAPPEN",
  "timeframe": "Very near-term",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "85% of VCs use AI for daily tasks — survey confirms automation penetration",
      "notes": "HIT — 85% of VCs already using AI to automate daily tasks per 2026 survey",
      "source": "https://www.affinity.co/guides/vc-ai-tools",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.affinity.co/guides/vc-ai-tools",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Industry survey (e.g. Affinity, PitchBook) shows ≥85% of VC GPs use AI for daily tasks and ≥80% for deal sourcing"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -7,
      "source_id": null,
      "expected_date": "2026-10-21",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Sequoia / a16z announces formal AI-augmented investment committee process",
      "source": "https://techcrunch.com/2026/04/16/new-leaders-new-fund-sequoia-has-raised-7b-to-expand-its-ai-bets/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://techcrunch.com/2026/04/16/new-leaders-new-fund-sequoia-has-raised-7b-to-expand-its-ai-bets/",
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Top-quartile VC firm (Sequoia, a16z, Benchmark, Founders Fund) publicly discloses AI as formal IC input mechanism"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -5,
      "source_id": null,
      "expected_date": "2027-04-13",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Rowspace (AI for VC) reaches Series B / $1B+ valuation",
      "source": "https://fortune.com/2026/02/25/rowspace-sequoia-ai-financial-platform-private-equity-investment-venture-capital/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.6,
      "source_url": "https://fortune.com/2026/02/25/rowspace-sequoia-ai-financial-platform-private-equity-investment-venture-capital/",
      "expected_date": "2027-05-02",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-12-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Rowspace closes Series B at ≥$1B valuation following $50M Sequoia-led Series A in Feb 2026"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2027-10-04",
      "observed_date": null
    },
    {
      "kind": "llm_post_event",
      "label": "First AI-led VC fund publicly reports portfolio out
... (truncated)