← Cockpit
230_004predictionAIAI-scaling

We are past the edge of a new recursive self-improvement era where models rewrite their own code.

Predictor: Alex Wissner-Gross · ep#230 "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230" · source

Prior probability
45.0%
Current probability
38.1%
evolves via intake + LBP
Conviction
3/5
Signal quality
C
Resolution
pending
Window
2026-01-01 – 2026-10-31
Edges in / out
10 / 5
Tickers exposed
37

Prediction text

We are past the edge of a new recursive self-improvement era where models rewrite their own code. | I think now we're on the the edge, probably slightly past the edge at this point, of a new era, call it the recursive self-improvement era, where the models are starting to rewrite their own code.

Verbatim quote

From episode "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230"
I think now we're on the the edge, probably slightly past the edge at this point, of a new era, call it the recursive self-improvement era, where the models are starting to rewrite their own code.

Predictor: Alex Wissner-Gross

κ + Brier as of 2026-05-22
κ (discount)
0.844
Brier
0.0341
excellent
Hits / Misses
6 / 1
of 11 resolved
Hit rate
54.5%
Calibration plot (stated vs observed)

Evidence about this node from Alex Wissner-Gross 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 45%2026-04-302026-04-302026-05-03
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 38.1%

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 ✓ · 2 pending
  1. 2026-04-23hitAlphaEvolve-style autonomous algorithm discovery system deployed inside frontier lab
    How: Google DeepMind, OpenAI, or Anthropic publicly confirms an in-production self-improving evolutionary system (AlphaEvolve, DGM-style) optimizing model training infrastructure
    Source: Sakana AI — Darwin Godel Machine (DGM) self-improving from 20% to 50% on SWE-bench; AlphaEvolve in Google productionconf 85%
    Notes: HIT — Darwin Godel Machine published; AlphaEvolve confirmed deployed inside Google. Model self-rewriting is now demonstrated in production.
  2. 2026-04-01 → 2026-09-30pendingAnthropic / OpenAI / Google publish 'recursive self-improvement' framing in official communications
    How: At least one frontier lab (Anthropic, OpenAI, Google DeepMind) publicly uses 'recursive self-improvement' language in a blog post, system card, or earnings call
    Source: FAI / Hyperdimensional — On Recursive Self-Improvement (Part I), Dean Ball (2026)conf 70%
  3. 2026-05-01 → 2026-12-31pendingAnthropic reports >50% software-development speed gain from coding agents
    How: Dario Amodei or Anthropic blog publishes coding-agent speed-up metric exceeding 50% (current Apr-2026 reported figure: 20-40%)
    Source: Hyperdimensional / Dean Ball — Anthropic reports 20-40% gainsconf 55%
    Notes: Slope of self-improvement metric is the operational test of the prediction.
  4. 2026-08-01 → 2026-10-31pendingOpenAI ships intern-level AI research agent (writing code, generating training data)
    How: OpenAI publicly announces 'AI research agent' product capable of writing code, running evals, generating training data, per stated September 2026 target
    Source: AI Prospects Substack — OpenAI plans intern-level AI research agents by September 2026conf 70%
  5. 2026-09-01 → 2027-06-30pendingFrontier labs grow effective AI 'workforce' to tens of thousands of agentic instances
    How: Public statements from OpenAI, Anthropic, or Google confirm running tens of thousands of AI engineering / research agent instances in parallel
    Source: Hyperdimensional — workforce growth from single-digit thousands to tens of thousands during 2026conf 60%
    Notes: Cascade — distinguishes 'on edge of recursive era' (current claim) from 'past edge with industrial-scale' (next milestone).

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: 38%)

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
LBP2026-05-03T02:00:01Z38.1%-1.6pp
Network propagation: 39.7% → 38.1%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z39.7%-2.1pp
Network propagation: 41.9% → 39.7%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z41.9%-3.1pp
Network propagation: 45.0% → 41.9%
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%0.0500.450-0.071
prereqSEM_015
Nvidia agreed to remit 15% of China chip-sale revenue directJensen Huang
66.3%0.4500.050-0.063
prereqSEM_027
Nvidia Data Center revenue +66% YoY, contributing ~90% of $5Joseph Moore
68.3%0.4500.050-0.062
killerTK05
Rate Regime Persistence (10y > 5% through 2028)
30.0%0.0500.450-0.051
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.4500.050-0.034

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq244_019
Peter's son won't need a driver's license in 2 yearsPeter Diamandis
48.4%0.9200.050-0.110
prereq247_023
AI will be able to do everything a white collar worker does Dave Blundin
40.8%0.7200.050-0.108
prereq242_031
Most large companies' business models will be disrupted in 2Peter Diamandis
36.1%0.6500.050-0.088
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.074
prereq232_055
We're exiting the industrial age permanently as recursive sePeter Diamandis
35.5%0.7000.050-0.063

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
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
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport

Linked documents (1)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.579manifoldCan anyone get talkie-1930 to describe Chomskian recursive syntax?19%mentionspending2026-05-13

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=6P0uTDGDr-I",
  "mode": "THESIS",
  "role": "Host",
  "context": "I think now we're on the the edge, probably slightly past the edge at this point, of a new era, call it the recursive self-improvement era, where the models are starting to rewrite their own code.",
  "to_year": 2026,
  "verbatim": "I think now we're on the the edge, probably slightly past the edge at this point, of a new era, call it the recursive self-improvement era, where the models are starting to rewrite their own code.",
  "conv_cues": "I think; probably",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "now / just past the edge",
  "conv_level": "MEDIUM",
  "milestones": [
    {
      "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": -7,
      "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": -6,
      "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": -5,
      "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": -4,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "llm_pre_event",
      "label": "AlphaEvolve-style autonomous algorithm discovery system deployed inside frontier lab",
      "notes": "HIT — Darwin Godel Machine published; AlphaEvolve confirmed deployed inside Google. Model self-rewriting is now demonstrated in production.",
      "source": "Sakana AI — Darwin Godel Machine (DGM) self-improving from 20% to 50% on SWE-bench; AlphaEvolve in Google production",
      "status": "hit",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://sakana.ai/dgm/",
      "expected_date": "2026-05-15",
      "observed_date": "2026-04-23",
      "research_origin": "deep_research",
      "measurement_criterion": "Google DeepMind, OpenAI, or Anthropic publicly confirms an in-production self-improving evolutionary system (AlphaEvolve, DGM-style) optimizing model training infrastructure"
    },
    {
      "kind": "prereq",
      "label": "Nvidia agreed to remit 15% of China chip-sale revenue directly to US government in exchange for reversing specific AI chip export bans.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -2,
      "source_id": "SEM_015",
      "expected_date": "2026-06-25",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Anthropic / OpenAI / Google publish 'recursive self-improvement' framing in official communications",
      "source": "FAI / Hyperdimensional — On Recursive Self-Improvement (Part I), Dean Ball (2026)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -1,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.thefai.org/posts/on-recursive-self-improvement-part-i",
      "expected_date": "2026-07-01",
      "research_origin": "deep_research",
      "expected_date_range
... (truncated)