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247_060predictionAIAI-scaling

Anthropic will win over OpenAI via better/smarter AI regardless of installed base

Predictor: Dave Blundin · ep#247 "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247" · source

Prior probability
60.0%
Current probability
50.2%
evolves via intake + LBP
Conviction
3/5
Signal quality
B
Resolution
pending
Window
2027-01-01 – 2028-09-30
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

Anthropic will win over OpenAI via better/smarter AI regardless of installed base | one company went after the installed base and the other went after the smartest AI possible at all costs. And if we look back on it in a year or two and Anthropic does pull ahead and win, we'll say, well, they use the old playbook, the pre-AI playbook, pre pre-AGI playbook, and Enthropic invented the new playbook of the future, which is people are going to switch to you if your AI is better and smarter regardless of the installed base.

Watch events: Anthropic ARR updates quarterly; potential Oct 2026 IPO; OpenAI next funding round; IPO timing; revenue disclosures

Verbatim quote

From episode "Elon Musk vs. Sam Altman, AI Job Loss, and OpenAI's $852B Valuation EP #247"
one company went after the installed base and the other went after the smartest AI possible at all costs. And if we look back on it in a year or two and Anthropic does pull ahead and win, we'll say, well, they use the old playbook, the pre-AI playbook, pre pre-AGI playbook, and Enthropic invented the new playbook of the future, which is people are going to switch to you if your AI is better and smarter regardless of the installed base.

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 = 50.2%

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: 7 fired ✓ · 4 pending
  1. 2026-02-12hitAnthropic Series G closes at $380B post-money valuation
    How: Anthropic announces Series G close — $30B raise at $380B post-money
    Source: deep_research_enrichedconf 99%
  2. 2026-04-13hitAnthropic ARR crosses OpenAI ARR — $30B vs $25B (April 2026)
    How: Public Anthropic ARR figure exceeds OpenAI ARR for the first time, per Axios / SaaStr / Epoch AI reporting
    Source: deep_research_enrichedconf 95%
  3. 2026-07-01 → 2026-10-31pendingAnthropic Q2/Q3 2026 ARR run-rate update — sustains 10x YoY trajectory
    How: Public ARR disclosure (Anthropic press, Sacra, Epoch AI dashboard) showing >$45B run-rate, consistent with Dario Amodei $1T-by-2029 trajectory
    Source: deep_research_enrichedconf 60%
  4. 2026-10-01 → 2027-06-30pendingAnthropic IPO or $850-900B valuation round closes
    How: Either S-1 filing or new primary funding round at >=$800B valuation, per Bloomberg / TechCrunch coverage
    Source: deep_research_enrichedconf 55%
  5. 2026-10-01 → 2027-12-31pendingFrontier benchmark crossover — Claude tops or matches OpenAI flagship on majority of capability/coding/reasoning evals for 2 consecutive quarters
    How: Claude leads SWE-bench-Verified, MMLU-Pro, GPQA, AIDER, and at least one independent agent eval (e.g. Terminal-Bench) for two consecutive quarterly snapshots
    Source: deep_research_enrichedconf 50%
  6. 2027-01-01 → 2028-06-30pendingEnterprise share-of-wallet reversal — Anthropic enterprise spend exceeds OpenAI enterprise spend in independent CIO surveys
    How: Two of Battery/Menlo/Bessemer/a16z annual CIO surveys show Anthropic as #1 enterprise LLM provider by deployed spend
    Source: deep_research_enrichedconf 45%

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: 50%)

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
LBP2026-05-10T02:00:02Z50.2%-1.2pp
Network propagation: 51.5% → 50.2%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z51.5%-1.9pp
Network propagation: 53.4% → 51.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z53.4%-2.9pp
Network propagation: 56.2% → 53.4%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z56.2%-3.8pp
Network propagation: 60.0% → 56.2%
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
killerTK09
Energy Grid Cap (Data Center Power Wall)
35.0%0.0500.600-0.095
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.6000.050-0.082
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.600-0.067
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.6000.050-0.044
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.600+0.043

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq246_017
Europa Clipper will arrive at Jupiter in 2030, conducting 50Peter Diamandis
37.7%0.6500.050-0.031
prereq247_035
Dario Amodei will solve most/all neurological diseases by enDario Amodei
38.8%0.7000.050-0.017
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.010
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050+0.004
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.001

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_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
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
prereq247_035Dario Amodei will solve most/all neurological diseases by end of decadeBiotech/Longevity
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_017Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa.Space
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.740manifoldWill OpenAI and Anthropic’s S1s be a “massacre” for AI model companies?18%mentionspending2026-06-03
0.722polymarketWill Anthropic have the best AI model at the end of May 2026?100%mentionspending2026-04-13
0.722polymarketWill Anthropic have the best Math AI model at the end of April 2026?93%mentionspending2026-04-01
0.718polymarketWill Anthropic have the best AI model at the end of June 2026?80%mentionspending2025-10-10
0.717polymarketWill Anthropic have the best AI model at the end of April 2026?99%mentionspending2026-03-20
0.703manifoldWill Anthropic release a new model stronger than Haiku 4.5 before June 16?55%mentionspending2026-05-16
0.682github_releaseanthropics/anthropic-sdk-python v0.78.0mentionspending2026-02-05
0.681github_releaseanthropics/anthropic-sdk-python v0.100.0mentionspending2026-05-06
0.677github_releaseanthropics/anthropic-sdk-python v0.92.0mentionspending2026-04-08
0.671github_releaseanthropics/anthropic-sdk-python v0.74.0mentionspending2025-11-18

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
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  "nia": false,
  "url": "https://www.youtube.com/watch?v=5ak26W2YNRY",
  "mode": "SPECULATION",
  "role": "Host",
  "caveats": "Conditional storyline",
  "context": "if we look back on it in a year or two and Anthropic does pull ahead and win",
  "to_year": 2028,
  "verbatim": "one company went after the installed base and the other went after the smartest AI possible at all costs. And if we look back on it in a year or two and Anthropic does pull ahead and win, we'll say, well, they use the old playbook, the pre-AI playbook, pre pre-AGI playbook, and Enthropic invented the new playbook of the future, which is people are going to switch to you if your AI is better and smarter regardless of the installed base.",
  "conv_cues": "if",
  "direction": "HAPPEN",
  "from_year": 2027,
  "timeframe": "1-2 years",
  "conv_level": "MEDIUM",
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      "kind": "llm_pre_event",
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      "source_url": "https://www.anthropic.com/news/anthropic-raises-30-billion-series-g-funding-380-billion-post-money-valuation",
      "expected_date": "2026-02-12",
      "observed_date": "2026-02-12",
      "research_origin": "deep_research",
      "measurement_criterion": "Anthropic announces Series G close — $30B raise at $380B post-money"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic ARR crosses OpenAI ARR — $30B vs $25B (April 2026)",
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      "status": "hit",
      "weight": 0.4,
      "ordinal": -10,
      "source_id": null,
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      "source_url": "https://www.axios.com/2026/04/13/anthropic-revenue-growth-ai",
      "expected_date": "2026-04-13",
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      "research_origin": "deep_research",
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    {
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      "label": "Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.",
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      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "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": -7,
      "source_id": "SEM_014",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI ",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "SEM_029",
      "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": -5,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic Q2/Q3 2026 ARR run-rate update — sustai
... (truncated)