Artisanal intelligence / the lone genius is dead — solutions will come from systems enabling millions.
Predictor: Alex Wissner-Gross · ep#230 "AI CEOs Come Online: Sam Altman's Replacement Plan, Job Loss & 'Solve Everything' Launches |EP #230" · source
Prediction text
Artisanal intelligence / the lone genius is dead — solutions will come from systems enabling millions. | And I think one of the points we make in the chapter here is that the lone genius is dead. And what people need to do now is build systems that let millions of people solve entire categories of problems. That's right. Or or put differently, artisal intelligence is cooked.
Verbatim quote
And I think one of the points we make in the chapter here is that the lone genius is dead. And what people need to do now is build systems that let millions of people solve entire categories of problems. That's right. Or or put differently, artisal intelligence is cooked.
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
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2026-03-15hitAnthropic 2026 Agentic Coding Trends Report quantifies systems-augmented coding scaleHow: Anthropic publishes 2026 Agentic Coding Trends Report showing >X-fold growth in coding agent usage and meaningful per-developer leverageSource: https://resources.anthropic.com/hubfs/2026%20Agentic%20Coding%20Trends%20Report.pdfconf 92%Notes: HIT — operationalizes the 'systems enabling millions' thesis with Anthropic's own usage data.
- 2026-04-01hitStanford 2026 AI Index reports agent task success jump 12% → 66%How: Stanford HAI publishes 2026 AI Index showing agent success on real computer tasks rising from 12% (early 2025) to 66% (early 2026)Source: https://spectrum.ieee.org/state-of-ai-index-2026 — IEEE Spectrum coverage of Stanford AI Index 2026conf 95%Notes: HIT — directly validates 'agentic systems hit mainstream' subclaim with hard benchmark data.
- 2026-06-01 → 2027-06-30pendingCoding agent market scales from $0.55B (2024) to ≥$10B (2026)How: Industry tracker (a16z / Pitchbook / Battery state-of-AI) reports coding-agent ARR ≥$10B in 2026, up from ~$4B in 2025 and $0.55B in 2024Source: https://mightybot.ai/blog/coding-ai-agents-for-accelerating-engineering-workflows/ — coding AI tools $550M → $4B in single yearconf 75%Notes: Tests 'systems enabling millions' thesis at the dollar-volume level.
- 2026-06-01 → 2027-06-30pendingGartner 40% AI-agent embed rate in enterprise apps confirmed by surveyHow: Gartner / IDC enterprise-software survey shows ≥40% of enterprise apps embed AI agents (up from <5% early 2025)Source: https://theinnovationmode.com/the-innovation-blog/2026-innovation-trends — Gartner 40% mid-2026 forecastconf 65%
- 2026-06-01 → 2028-12-31pending≥1 Big-Tech firm reports >2x output growth with flat headcount via AI augmentationHow: Public quarterly disclosure or earnings comment from Big Tech (NVDA / MSFT / META / GOOG) cites ≥2x revenue or output growth combined with ≤10% headcount growth, attributed to AI-systems leverageSource: Quarterly earnings transcriptsconf 55%Notes: Cascade — extends NVIDIA's reported 4x-output / 2x-headcount precedent across the industry.
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
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 | SEM_042 2025 will be the definitive year that agentic systems finall — Kevin Weil | 73.8% | 0.500 | 0.050 | -0.057 |
| prereq | SEM_012 Nvidia quadrupled chip production output while only doubling — Jensen Huang | 75.0% | 0.500 | 0.050 | -0.050 |
| prereq | SEM_008 Training runs costing $10 billion for a single model will co — Dario Amodei | 76.9% | 0.500 | 0.050 | -0.042 |
| prereq | 238_009 Recursive self-improvement is already happening now (no long — Alex Wissner-Gross | 78.1% | 0.500 | 0.050 | -0.037 |
| killer | TK14 Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | 20.0% | 0.050 | 0.500 | -0.025 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 246_016 Dragonfly nuclear-powered octicopter arrives at Titan in 203 — Peter Diamandis | 35.6% | 0.650 | 0.050 | -0.051 |
| prereq | 235_030 Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 203 — Ray Kurzweil | 39.2% | 0.750 | 0.050 | -0.045 |
| prereq | 240_036 TEPCO's restarted reactor will support 20% of Japan's electr — Peter Diamandis | 34.3% | 0.650 | 0.050 | -0.038 |
| prereq | 239_008 Moon base will exist in 10 years — Elon Musk | 28.8% | 0.550 | 0.050 | -0.025 |
| prereq | SEM_034 True artificial general intelligence will be achieved betwee — Demis Hassabis | 28.7% | 0.550 | 0.050 | -0.024 |
Ticker exposure
Beneficiaries (23)
Adverse (6)
Prerequisites (7)
| 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 | SEM_042 | 2025 will be the definitive year that agentic systems finally hit the mainstream. | AI/Agents | — |
| 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 | — |
| killer | TK14 | Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 235_030 | Ray Kurzweil predicts Longevity Escape Velocity (LEV) by 2033. | Biotech/Longevity | — |
| prereq | 246_016 | Dragonfly nuclear-powered octicopter arrives at Titan in 2034. | Space | — |
| prereq | 240_036 | TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040 | Energy | — |
| prereq | SEM_034 | True artificial general intelligence will be achieved between 2032 and 2042 — 'first we solve AI, then use AI to solve everything else'. | AI/AGI | — |
| prereq | 239_008 | Moon base will exist in 10 years | Space | — |
Raw metadata
{
"nia": false,
"url": "https://www.youtube.com/watch?v=6P0uTDGDr-I",
"mode": "THESIS",
"role": "Host",
"context": "the lone genius is dead. And what people need to do now is build systems that let millions of people solve entire categories of problems.",
"to_year": 2030,
"verbatim": "And I think one of the points we make in the chapter here is that the lone genius is dead. And what people need to do now is build systems that let millions of people solve entire categories of problems. That's right. Or or put differently, artisal intelligence is cooked.",
"conv_cues": "is dead; is cooked",
"direction": "HAPPEN",
"from_year": 2026,
"timeframe": "now",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Anthropic 2026 Agentic Coding Trends Report quantifies systems-augmented coding scale",
"notes": "HIT — operationalizes the 'systems enabling millions' thesis with Anthropic's own usage data.",
"source": "https://resources.anthropic.com/hubfs/2026%20Agentic%20Coding%20Trends%20Report.pdf",
"status": "hit",
"weight": 0.4,
"ordinal": -9,
"source_id": null,
"confidence": 0.92,
"source_url": "https://resources.anthropic.com/hubfs/2026%20Agentic%20Coding%20Trends%20Report.pdf",
"expected_date": "2026-04-01",
"observed_date": "2026-03-15",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2026-06-30",
"from": "2026-01-01"
},
"measurement_criterion": "Anthropic publishes 2026 Agentic Coding Trends Report showing >X-fold growth in coding agent usage and meaningful per-developer leverage"
},
{
"kind": "llm_pre_event",
"label": "Stanford 2026 AI Index reports agent task success jump 12% → 66%",
"notes": "HIT — directly validates 'agentic systems hit mainstream' subclaim with hard benchmark data.",
"source": "https://spectrum.ieee.org/state-of-ai-index-2026 — IEEE Spectrum coverage of Stanford AI Index 2026",
"status": "hit",
"weight": 0.4,
"ordinal": -8,
"source_id": null,
"confidence": 0.95,
"source_url": "https://spectrum.ieee.org/state-of-ai-index-2026",
"expected_date": "2026-04-01",
"observed_date": "2026-04-01",
"research_origin": "deep_research",
"measurement_criterion": "Stanford HAI publishes 2026 AI Index showing agent success on real computer tasks rising from 12% (early 2025) to 66% (early 2026)"
},
{
"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": -7,
"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": -6,
"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": -5,
"source_id": "SEM_042",
"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": -4,
"source_id": "238_009",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "llm_pre_event",
"label": "Coding agent market scales from $0.55B (2024) to ≥$10B (2026)",
"notes": "Tests 'systems enabling millions' thesis at the dollar-volume level.",
... (truncated)