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SEM_036predictionAI/Cognitionjobs

World-class AI programmers will appear within 1-2 years (by 2027-2028).

Predictor: Eric Schmidt

Prior probability
72.0%
Current probability
69.7%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
in_progress
Window
2026-01-01 – 2028-12-31
Edges in / out
12 / 1
Tickers exposed
32

Prediction text

World-class AI programmers will appear within 1-2 years (by 2027-2028). | SWE-Bench + enterprise code-gen share reports

Key catalyst: SWE-Bench + enterprise code-gen share reports

Watch events: SWE-Bench / METR evals; Claude Code / Cursor enterprise adoption metrics

Resolution evidence

Status: in_progress

Claude Opus 4.7 / Claude Code already at 42-54% global code-gen market share per workbook Thematic_Findings. SWE-Bench scores from frontier models already matching median professional programmers.

Predictor: Eric Schmidt

κ + Brier as of 2026-05-22
κ (discount)
0.688
Brier
0.0064
excellent
Hits / Misses
3 / 0
of 3 resolved
Hit rate
100.0%
Calibration plot (stated vs observed)

Evidence about this node from Eric Schmidt 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: ai_capability_milestone_2y

Linked

AI reaches specific named capability (intern-level / world-class programmer / etc) within 2y of stated target

Base rate
5/15 historical
Inside weight
Outside weight
no pull
inside 69.7% → blend 69.7% 0.0pp)

Tetlock-style outside view: at TRF=1 (just predicted), outside view dominates (w_in=0.3). At TRF=0 (deadline), inside view dominates (w_in=1.0). The blend regularizes overconfident inside views toward the historical base rate.

Probability over time

8 prob_history rows
0%25%50%75%100%prior 72%2026-04-302026-05-102026-05-24
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 69.7%

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 ✓ · 4 pending
  1. 2026-08-01 → 2027-03-31pendingSWE-Bench Verified reaches ≥95%
    How: Top model score on SWE-Bench Verified ≥95% — within margin-of-error of 'world-class human engineer' baseline
    Source: Anthropic blog, OpenAI evals, Papers With Code, METRconf 65%
  2. 2026-09-01 → 2027-08-31pendingAI achieves Codeforces Grandmaster (2400+) or top-100 ICPC equivalent
    How: AI lab demonstrates an AI system competing in Codeforces Round at Grandmaster division (rating ≥2400) OR scoring at top-100 ICPC World Finals level on equivalent problem set
    Source: Codeforces.com, ICPC.global, lab blog posts (DeepMind AlphaCode follow-ups)conf 70%
    Notes: DeepMind AlphaCode 2 already at top-15% in 2023; 'Grandmaster' is a specific public rating threshold.
  3. 2027-01-01 → 2027-12-31pendingFrontier lab uses 'world-class programmer' framing in official communications
    How: Anthropic, OpenAI, or Google explicitly characterizes a model as 'world-class', 'expert-level', or 'top-1%' programmer in official lab communication, citing specific benchmarks
    Source: Lab blog posts, conference keynotes (Davos, OpenAI DevDay, Google I/O), CEO interviewsconf 65%
    Notes: Schmidt's claim (the prediction author) is itself a directional bet — labs will validate via marketing language well before consensus.
  4. 2027-04-01 → 2028-06-30pendingAI solves research-level (PhD-difficulty) coding problem unaided
    How: Public demonstration of AI agent solving a problem from RE-Bench, FrontierMath-coding, or similar research-level eval suite with no human intervention
    Source: METR.org, Apollo Research, lab blog posts, arXiv papersconf 55%
  5. 2027-06-01 → 2028-12-31pendingFrontier model passes standardized senior+ engineering interview process
    How: Public demonstration or hiring-leader testimony that a model passes the standardized senior+ ('staff', 'principal') engineering interview at a top-tier tech company (FAANG/MAANG-level) including system design, coding, and behavioral rounds
    Source: Lab blogs, hiring leader posts on LinkedIn/Twitter, Levels.fyi, possibly leaked internal interview rubricsconf 50%
    Notes: Resolution proxy — once frontier models pass real hiring bars, the prediction is essentially confirmed.
  6. 2028-01-01 → 2028-12-31pendingCascade: open-source model crosses world-class programmer threshold
    How: Open-source / open-weights model achieves ≥85% on SWE-Bench Verified or comparable, demonstrating commoditization
    Source: HuggingFace leaderboards, Llama/DeepSeek/Qwen model card releasesconf 55%
    Notes: Cascade — affects scenarios where AI capability commoditization changes labor displacement timing.

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: 70%)

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
LBP2026-05-24T02:00:02Z69.7%-11.4pp
Network propagation: 81.1% → 69.7%
4-iter LBP, residual 0.01000 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 806b02f8
intake_event_update2026-05-21T23:15:16Z81.1%+22.4pp
intake:7afeeb9a-f217-4dd2-b910-24ff14bdfc39 bayesian_v2 inside=0.811 blend=0.811 LLR=1.106 κ=0.69 no_blend
Raw metadata
{
  "trf": 0.8712612462476746,
  "kappa": 0.6875,
  "base_rate": null,
  "predictor": "Eric Schmidt",
  "total_llr": 1.6094379124341,
  "bayesian_v2": true,
  "prior_logit": 0.3492657634762088,
  "bayes_factor": "3.0:1 favoring",
  "blend_reason": "no reference_class linked",
  "inside_prior": 0.5864395171566453,
  "kappa_source": "predictor_table",
  "blend_applied": false,
  "contributions": [
    {
      "llr": 1.6094379124341,
      "kappa": 0.6875,
      "label": "Capability acceleration curve (4.3-month doubling) puts 'world-class programmer' threshold within 2027.",
      "adjusted_llr": 1.106488564798444
    }
  ],
  "evidence_kind": "intake_event_update",
  "inside_source": "history_v2",
  "inside_weight": 1,
  "outside_weight": 0,
  "posterior_prob": 0.8108824513148017,
  "evidence_origin": "daily_intake",
  "llm_suggestions": [
    {
      "polarity": "corroborates",
      "status_change": "unchanged",
      "evidence_strength": "strong",
      "delta_prob_suggestion": 0.06
    }
  ],
  "posterior_logit": 1.455754328274653,
  "predictor_brier": 0.0064,
  "evidence_doc_ids": [],
  "inside_posterior": 0.8108824513148017,
  "blended_posterior": 0.8108824513148017,
  "reference_class_id": null,
  "total_adjusted_llr": 1.106488564798444,
  "predictor_n_resolved": 3
}
LBP2026-05-17T02:00:01Z58.6%-4.7pp
Network propagation: 63.3% → 58.6%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z63.3%-8.1pp
Network propagation: 71.5% → 63.3%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z71.5%-11.9pp
Network propagation: 83.3% → 71.5%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
legacy v12026-04-30T19:17:54Z83.3%+21.0pp
intake:99aa73db-75b1-4b1e-8470-a11f87b23937 bayesian_v2 inside=0.833 blend=0.833 LLR=1.106 κ=0.69 no_blend
LBP2026-04-30T16:39:51Z62.3%-4.1pp
Network propagation: 66.4% → 62.3%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z66.4%-5.6pp
Network propagation: 72.0% → 66.4%
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
prereq242_057
Artemis 2 launches April 1, 2026 - circumlunar missionPeter Diamandis
56.2%0.7200.050-0.280
prereq247_058
Jury selection begins April 27, 2026 for Musk v OpenAI trialPeter Diamandis
71.4%0.7200.050-0.175
prereqSEM_042
2025 will be the definitive year that agentic systems finallKevin Weil
73.8%0.7200.050-0.159
prereq235_038
David Sinclair begins partial epigenetic reprogramming trialPeter Diamandis
74.0%0.7200.050-0.156
prereqSEM_012
Nvidia quadrupled chip production output while only doublingJensen Huang
75.0%0.7200.050-0.150

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq234_036
Job displacement will be issue 6-10 not top 5 in 10 years; AAlex Wissner-Gross
28.8%0.4500.050+0.010

Ticker exposure

32 ticker(s) linked

Beneficiaries (23)

ADUSCOURDOCNFROGGTLBINODPLROLSPIRSRFMUDMYTEAMNFLXPLTRRDDTUBERAMZNBABASPOTGDDYGOOGLMETAMSFT

Adverse (6)

RHIBXPSLGMANKFYTNET

Prerequisites (12)

Predictions that must hit first
TypePredTitleDomainLag
prereq235_038David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.Biotech/Longevity
prereq238_009Recursive self-improvement is already happening now (no longer three years out)AI
prereq247_058Jury selection begins April 27, 2026 for Musk v OpenAI trialAI
prereqSEM_008Training runs costing $10 billion for a single model will commence sometime in 2025.AI
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_0422025 will be the definitive year that agentic systems finally hit the mainstream.AI/Agents
prereq242_057Artemis 2 launches April 1, 2026 - circumlunar missionSpace
correlateS_AGI_MID_2029AGI mid: Kurzweil 2029 pathagi_general_capability
correlateS_ASI_MID_2034ASI mid: Schmidt 'ASI in 6 years'asi_recursive_self_improvement
correlateS_AI_PAUSE_2026Major-country AI pause beginning 2026ai_regulatory_pause
killerTK04Macro Recession 2026-27 (Structural Deleveraging)
killerTK07Labor Political Backlash (UBI Mandate / AI Tax)

Dependents (1)

Predictions enabled by this
TypePredTitleDomainLag
prereq234_036Job displacement will be issue 6-10 not top 5 in 10 years; AI discoveries will dominateLabor/Jobs

Expected milestones (1)

From Sheet 17 Monitoring Triggers
Expected byDescriptionStatus
2027-09-30[Capability 2027-09] [SEM_036] SWE-Bench / METR evals; Claude Code / Cursor enterprise adoption metrics [SEM_049] SWE-Bench + METR long-horizon eval results; enterprise code-gen market sharepending

Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importClaude Opus 4.7 / Claude Code already at 42-54% global code-gen market share per workbook Thematic_Findings. SWE-Bench scores from frontier models already matching median professional programmers.

Linked documents (6)

Auto-generated by cosine similarity from Polymarket / Manifold / EDGAR / GDELT
SimSourceTitleMarket probPolarityReviewedPublished
0.900codex_research_packMETR - Measuring AI Ability to Complete Long Taskscorroboratespending2025-03-19
0.900codex_research_packOECD - Exploring Possible AI Trajectories Through 2030corroboratespending2026-04-26
0.630manifoldWhen will the Jai programming language be public?mentionspending2026-05-10
0.615manifoldwhich will happen first? (Codeforces Rating)mentionspending2026-05-24
0.596manifoldWill MNX hire a backend developer before Manifest?26%mentionspending2026-04-30
0.567manifold2026 F1 Canada Qualification who qualifies better in each teammentionspending2026-05-04

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "mode": "FORECAST",
  "role": "Cited-Executive",
  "context": "Schmidt forecasts AI programmers matching world-class human level within 1-2y window.",
  "to_year": 2028,
  "conv_cues": "appearing within 1-2 years",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "1-2 years",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "prereq",
      "label": "David Sinclair begins partial epigenetic reprogramming trials with Life Biosciences in March 2026.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "235_038",
      "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": -9,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Jury selection begins April 27, 2026 for Musk v OpenAI trial",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "247_058",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
    {
      "kind": "prereq",
      "label": "Artemis 2 launches April 1, 2026 - circumlunar mission",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "242_057",
      "expected_date": "2026-04-30",
      "observed_date": "2026-04-30"
    },
    {
      "kind": "llm_pre_event",
      "label": "SWE-Bench Verified reaches ≥95%",
      "source": "Anthropic blog, OpenAI evals, Papers With Code, METR",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2026-11-30",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-03-31",
        "from": "2026-08-01"
      },
      "measurement_criterion": "Top model score on SWE-Bench Verified ≥95% — within margin-of-error of 'world-class human engineer' baseline"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI achieves Codeforces Grandmaster (2400+) or top-100 ICPC equivalent",
      "notes": "DeepMind AlphaCode 2 already at top-15% in 2023; 'Grandmaster' is a specific public rating threshold.",
      "source": "Codeforces.com, ICPC.global, lab blog posts (DeepMind AlphaCode follow-ups)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2027-03-02",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-08-31",
        "from": "2026-09-01"
      },
      "measurement_criterion": "AI lab demonstrates an AI system competing in Codeforces Round at Grandmaster division (rating ≥2400) OR scoring at top-100 ICPC World Finals level on equivalent problem set"
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier lab uses 'world-class programmer' framing in official communications",
      "notes": "Schmidt's claim (the prediction author) is itself a directional bet — labs will validate via marketing language well before consensus.",
      "source": "Lab blog posts, conference keynotes (Davo
... (truncated)