← Cockpit
240_020predictionAIAI-scaling

New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI

Predictor: Dave Blundin · ep#240 "NVIDIA's $1 Trillion Prediction, Anthropic Beats OpenAI, Tesla vs. TSMC & The CS Job Collapse" · source

Prior probability
60.0%
Current probability
46.2%
evolves via intake + LBP
Conviction
3/5
Signal quality
B
Resolution
pending
Window
2026-04-30 – 2029-03-31
Edges in / out
6 / 0
Tickers exposed
37

Prediction text

New architecture won't map to current NVIDIA architecture; will create next Anthropic/OpenAI | it probably won't map well to the current Nvidia architecture. Uh so you'll immediately want to call Lisa Sue at AMD or... that's how you're going to create the next anthropic or the next Open AI.

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

Verbatim quote

From episode "NVIDIA's $1 Trillion Prediction, Anthropic Beats OpenAI, Tesla vs. TSMC & The CS Job Collapse"
it probably won't map well to the current Nvidia architecture. Uh so you'll immediately want to call Lisa Sue at AMD or... that's how you're going to create the next anthropic or the next Open AI.

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. 2026-04-01hitMamba-3 released at ICLR 2026, demonstrates content-aware SSM at frontier scale
    How: Mamba-3 (or successor SSM architecture) accepted to ICLR/NeurIPS 2026 with model-quality parity to comparable transformer at >=2x speed, validated by independent benchmark (MMLU, HELM)
    Source: https://openreview.net/pdf?id=HwCvaJOiCjconf 90%
  2. 2026-05-01 → 2026-12-31pendingHybrid SSM+attention architecture (Jamba-class) deployed at production scale by frontier lab
    How: AI21, Mistral, Anthropic, OpenAI, or Google ships a non-pure-transformer production model >=70B params with >=20% adoption signal (API traffic share, leaderboard ranking)
    Source: https://callsphere.ai/blog/transformer-alternatives-mamba-rwkv-state-space-models-2026conf 70%
  3. 2026-10-31pendingQ1 window check-in (25%)
  4. 2026-09-01 → 2027-09-30pendingFrontier model trained on architecture that does NOT efficiently map to NVIDIA tensor cores
    How: Major frontier lab releases model where >=50% of compute is on non-tensor-core kernels (e.g., custom selective-scan, recurrent state ops), with public benchmarks showing CUDA inefficiency vs custom hardware
    Source: https://borealtimes.org/transformer-ai/conf 45%
  5. 2027-05-03pendingQ2 window check-in (50%)
  6. 2026-06-01 → 2028-05-06pendingNew AI lab founded specifically around post-transformer architecture (Anthropic-class)
    How: Net-new AI lab raises >=$500M Series A/B with explicit charter to build non-transformer foundation models (SSM, RWKV, liquid networks, neuromorphic), per TechCrunch/PitchBook reporting
    Source: https://medium.com/@raktims2210/mamba-selective-state-space-models-and-the-rise-of-post-transformer-ai-f197f05e8ab8conf 50%
  7. 2027-11-03pendingQ3 window check-in (75%)
  8. 2027-06-01 → 2029-03-31pendingCascade: NVIDIA gross margin compression >=500 bps as customers shift to alternative-arch chips
    How: NVIDIA reports two consecutive quarters of >=5% gross margin compression with management commentary citing customer migration to alternative architectures (Cerebras, Groq, Tenstorrent, custom ASICs)
    Source: https://pchojecki.medium.com/going-beyond-llms-transformers-39f3291ba9d8conf 35%
  9. 2027-12-01 → 2029-06-30pendingCascade: Post-transformer-native lab valued >=$50B (next Anthropic/OpenAI scale)
    How: AI lab built explicitly on non-transformer architecture (founded 2026+) achieves >=$50B post-money valuation, per public funding announcement
    Source: https://www.nature.com/articles/s41598-025-87574-8conf 30%

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

Linked documents (10)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.690manifoldWill Nvidia launch an RTX 5090 Ti, Titan, or equivalent flagship GPU before 2028?46%mentionspending2026-05-16
0.684github_releasefacebookresearch/xformers v0.0.22.post4mentionspending2023-10-13
0.672github_releaseanthropics/anthropic-sdk-python v0.97.0mentionspending2026-04-23
0.665github_releaseanthropics/anthropic-sdk-python v0.103.0mentionspending2026-05-19
0.661github_releaseanthropics/anthropic-sdk-python v0.74.0mentionspending2025-11-18
0.660github_releaseanthropics/anthropic-sdk-python v0.85.0mentionspending2026-03-16
0.658github_releaseanthropics/anthropic-sdk-python v0.77.0mentionspending2026-01-29
0.656github_releaseanthropics/anthropic-sdk-python v0.93.0mentionspending2026-04-09
0.656github_releaseanthropics/anthropic-sdk-python v0.107.0mentionspending2026-06-06
0.655github_releaseanthropics/anthropic-sdk-python v0.81.0mentionspending2026-02-18

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=uOGHXAfvK8w",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "it probably won't map well to the current Nvidia architecture. Uh so you'll immediately want to call Lisa Sue at AMD or or you know call Intel um and figure out how you're going to get it manufactured on custom hard",
  "verbatim": "it probably won't map well to the current Nvidia architecture. Uh so you'll immediately want to call Lisa Sue at AMD or... that's how you're going to create the next anthropic or the next Open AI.",
  "conv_cues": "probably",
  "direction": "HAPPEN",
  "timeframe": "Future",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Mamba-3 released at ICLR 2026, demonstrates content-aware SSM at frontier scale",
      "source": "https://openreview.net/pdf?id=HwCvaJOiCj",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -8,
      "source_id": null,
      "confidence": 0.9,
      "expected_date": "2026-04-01",
      "observed_date": "2026-04-01",
      "research_origin": "deep_research",
      "measurement_criterion": "Mamba-3 (or successor SSM architecture) accepted to ICLR/NeurIPS 2026 with model-quality parity to comparable transformer at >=2x speed, validated by independent benchmark (MMLU, HELM)"
    },
    {
      "kind": "llm_pre_event",
      "label": "Hybrid SSM+attention architecture (Jamba-class) deployed at production scale by frontier lab",
      "source": "https://callsphere.ai/blog/transformer-alternatives-mamba-rwkv-state-space-models-2026",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2026-08-31",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2026-12-31",
        "from": "2026-05-01"
      },
      "measurement_criterion": "AI21, Mistral, Anthropic, OpenAI, or Google ships a non-pure-transformer production model >=70B params with >=20% adoption signal (API traffic share, leaderboard ranking)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -6,
      "source_id": null,
      "expected_date": "2026-10-31",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier model trained on architecture that does NOT efficiently map to NVIDIA tensor cores",
      "source": "https://borealtimes.org/transformer-ai/",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.45,
      "expected_date": "2027-03-17",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2027-09-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Major frontier lab releases model where >=50% of compute is on non-tensor-core kernels (e.g., custom selective-scan, recurrent state ops), with public benchmarks showing CUDA inefficiency vs custom hardware"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -4,
      "source_id": null,
      "expected_date": "2027-05-03",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "New AI lab founded specifically around post-transformer architecture (Anthropic-class)",
      "source": "https://medium.com/@raktims2210/mamba-selective-state-space-models-and-the-rise-of-post-transformer-ai-f197f05e8ab8",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.5,
      "expected_date": "2027-05-19",
      "research_origin": "deep_research",
      "expected_date_range": {
        "to": "2028-05-06",
        "from": "2026-06-01"
      },
      "measurement_criterion": "Net-new AI lab raises >=$500M Series A/B with e
... (truncated)