AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement.
Predictor: Alex Wissner-Gross
Prediction text
AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement. | Long-horizon SWE benchmark results
Key catalyst: Long-horizon SWE benchmark results
Watch events: SWE-Bench + METR long-horizon eval results; enterprise code-gen market share
Resolution evidence
Claude Opus 4.7 + Claude Code 42-54% share of code-gen market. Cursor $1B ARR. Anthropic 'Programmer Equivalent' benchmarks showing continued capability growth.
Predictor: Alex Wissner-Gross
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: ai_capability_milestone_2y
AI reaches specific named capability (intern-level / world-class programmer / etc) within 2y of stated target
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
Milestone chain
- 2026-04-16hitClaude Opus 4.7 hits 87.6% on SWE-Bench VerifiedHow: Anthropic Claude Opus 4.7 releases with >=85% SWE-Bench Verified scoreSource: https://tokenmix.ai/blog/swe-bench-2026-claude-opus-4-7-winsconf 95%Notes: HIT — Claude Opus 4.7 leads SWE-Bench Verified at 87.6% with 1M context.
- 2026-04-30hitOpenAI deprecates SWE-Bench Verified as too contaminatedHow: OpenAI publishes statement that SWE-Bench Verified is no longer the frontier coding benchmark of recordSource: https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/conf 95%Notes: HIT — OpenAI explicitly retired SWE-Bench Verified, recommending SWE-Bench Pro.
- 2026-05-01hitClaude Mythos Preview crosses 90% on SWE-Bench VerifiedHow: Any frontier model crosses 90% accuracy on SWE-Bench Verified leaderboardSource: https://www.marc0.dev/en/leaderboardconf 90%Notes: HIT — Claude Mythos Preview at 93.9% as of May 2026.
- 2026-09-01 → 2027-12-31pendingLong-horizon multi-day software-engineering benchmark crossed by Claude/GPTHow: A frontier model completes a multi-day (>=8 hour) end-to-end real-world dev task on a public benchmark with >=70% pass rateSource: METR / Anthropic / OpenAI benchmark releasesconf 55%Notes: Cascade — currently METR documents <8-hour task horizon; needs 5-10x extension.
- 2026-09-01 → 2028-12-31pendingIterative self-improvement loop demonstrated on coding agentHow: Published paper or product launch showing AI coding agent improves its own benchmark score across iterations without human gradient updatesSource: arXiv, Anthropic/OpenAI/DeepMind research blogsconf 40%
What if this resolves?
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
Raw metadata
{
"trf": 0.8712612462476746,
"kappa": 0.8438,
"base_rate": null,
"predictor": "Alex Wissner-Gross",
"total_llr": 0.6931471805599453,
"bayesian_v2": true,
"prior_logit": -0.04500009648673667,
"bayes_factor": "1.8:1 favoring",
"blend_reason": "no reference_class linked",
"inside_prior": 0.4887518739436685,
"kappa_source": "predictor_table",
"blend_applied": false,
"contributions": [
{
"llr": 0.6931471805599453,
"kappa": 0.8438,
"label": "Multi-week autonomous task completion approaches 'soon fully automate' threshold.",
"adjusted_llr": 0.5848775909564818
}
],
"evidence_kind": "intake_event_update",
"inside_source": "history_v2",
"inside_weight": 1,
"outside_weight": 0,
"posterior_prob": 0.6317839193673745,
"evidence_origin": "daily_intake",
"llm_suggestions": [
{
"polarity": "corroborates",
"status_change": "unchanged",
"evidence_strength": "moderate",
"delta_prob_suggestion": 0.04
}
],
"posterior_logit": 0.5398774944697452,
"predictor_brier": 0.03413,
"evidence_doc_ids": [],
"inside_posterior": 0.6317839193673745,
"blended_posterior": 0.6317839193673745,
"reference_class_id": null,
"total_adjusted_llr": 0.5848775909564818,
"predictor_n_resolved": 11
}Raw metadata
{
"source": "backfill_resolution_history.py",
"status": "partial",
"bayesian_v2": false,
"outcome_prob": 0.5,
"evidence_kind": "resolution_terminal",
"posterior_prob": 0.5,
"delta_to_outcome": -0.026029999999999998,
"inside_posterior": 0.52603,
"validation_notes": "Claude Opus 4.7 + Claude Code 42-54% share of code-gen market. Cursor $1B ARR. Anthropic 'Programmer Equivalent' benchmarks showing continued capability growth.",
"validation_status": "hit",
"pre_resolution_prob": 0.52603,
"resolution_evidence": "Claude Opus 4.7 + Claude Code 42-54% share of code-gen market. Cursor $1B ARR. Anthropic 'Programmer Equivalent' benchmarks showing continued capability growth.",
"does_not_update_current_prob": true
}Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 247_058 Jury selection begins April 27, 2026 for Musk v OpenAI trial — Peter Diamandis | 71.4% | 0.600 | 0.050 | -0.119 |
| prereq | SEM_042 2025 will be the definitive year that agentic systems finall — Kevin Weil | 73.8% | 0.600 | 0.050 | -0.106 |
| prereq | SEM_012 Nvidia quadrupled chip production output while only doubling — Jensen Huang | 75.0% | 0.600 | 0.050 | -0.098 |
| killer | TK04 Macro Recession 2026-27 (Structural Deleveraging) | 25.0% | 0.050 | 0.600 | -0.094 |
| prereq | SEM_008 Training runs costing $10 billion for a single model will co — Dario Amodei | 76.9% | 0.600 | 0.050 | -0.089 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 234_036 Job displacement will be issue 6-10 not top 5 in 10 years; A — Alex Wissner-Gross | 28.8% | 0.450 | 0.050 | -0.033 |
Ticker exposure
Beneficiaries (23)
Adverse (6)
Prerequisites (8)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 238_009 | Recursive self-improvement is already happening now (no longer three years out) | AI | — |
| prereq | SEM_008 | Training runs costing $10 billion for a single model will commence sometime in 2025. | AI | — |
| prereq | 247_058 | Jury selection begins April 27, 2026 for Musk v OpenAI trial | AI | — |
| prereq | SEM_012 | Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering. | AI/Manufacturing | — |
| prereq | SEM_042 | 2025 will be the definitive year that agentic systems finally hit the mainstream. | AI/Agents | — |
| correlate | S_NO_AI_PAUSE_5Y | No major AI pause through 2031 | ai_regulatory_pause | — |
| killer | TK04 | Macro Recession 2026-27 (Structural Deleveraging) | — | — |
| killer | TK07 | Labor Political Backlash (UBI Mandate / AI Tax) | — | — |
Dependents (1)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 234_036 | Job displacement will be issue 6-10 not top 5 in 10 years; AI discoveries will dominate | Labor/Jobs | — |
Expected milestones (1)
| Expected by | Description | Status |
|---|---|---|
| 2027-09-30 | [Capability 2027-09] de / Cursor enterprise adoption metrics [SEM_049] SWE-Bench + METR long-horizon eval results; enterprise code-gen market share | pending |
Validations (1)
| Observed at | Status | By | Notes |
|---|---|---|---|
| 2026-04-29 | hit | thesis_timeline_v1.0_import | Claude Opus 4.7 + Claude Code 42-54% share of code-gen market. Cursor $1B ARR. Anthropic 'Programmer Equivalent' benchmarks showing continued capability growth. |
Linked documents (10)
Raw metadata
{
"nia": false,
"mode": "FORECAST",
"role": "Guest-VC/Physicist",
"context": "Wissner-Gross extrapolates hardware-software recursion (Nvidia 4x/2x) into full software-engineering automation within near-term horizon.",
"to_year": 2028,
"conv_cues": "will soon; iterative self-improvement",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "near-term",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Claude Opus 4.7 hits 87.6% on SWE-Bench Verified",
"notes": "HIT — Claude Opus 4.7 leads SWE-Bench Verified at 87.6% with 1M context.",
"source": "https://tokenmix.ai/blog/swe-bench-2026-claude-opus-4-7-wins",
"status": "hit",
"weight": 0.4,
"ordinal": -7,
"source_id": null,
"confidence": 0.95,
"source_url": "https://tokenmix.ai/blog/swe-bench-2026-claude-opus-4-7-wins",
"expected_date": "2026-04-16",
"observed_date": "2026-04-16",
"research_origin": "deep_research",
"measurement_criterion": "Anthropic Claude Opus 4.7 releases with >=85% SWE-Bench Verified score"
},
{
"kind": "llm_pre_event",
"label": "OpenAI deprecates SWE-Bench Verified as too contaminated",
"notes": "HIT — OpenAI explicitly retired SWE-Bench Verified, recommending SWE-Bench Pro.",
"source": "https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/",
"status": "hit",
"weight": 0.4,
"ordinal": -6,
"source_id": null,
"confidence": 0.95,
"source_url": "https://openai.com/index/why-we-no-longer-evaluate-swe-bench-verified/",
"expected_date": "2026-04-16",
"observed_date": "2026-04-30",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2026-06-30",
"from": "2026-02-01"
},
"measurement_criterion": "OpenAI publishes statement that SWE-Bench Verified is no longer the frontier coding benchmark of record"
},
{
"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": "prereq",
"label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
"status": "hit",
"weight": 0.5,
"ordinal": -4,
"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": -3,
"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": -2,
"source_id": "247_058",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "prereq",
"label": "Recursive self-improvement is already happening now (no longer three years out)",
"status": "hit",
"weight": 0.5,
"ordinal": -1,
"source_id": "238_009",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "event",
"label": "AI will soon fully automate software engineering, achieving massive cost reductions via iterative self-improvement.",
"status": "partial",
"weight": 1,
"ordinal": 0,
"source_id": "SEM_049",
"expected_date": "2026-05-01",
"observed_date": "2026-05-01"
},
{
"kind": "llm_pre_event",
"label": "Claude Mythos Preview crosses 90% on SWE-Bench Verified",
... (truncated)