Human-like computer agents NOT achievable within a year or two - science doesn't exist yet
Predictor: Eric Schmidt · ep#241 "Eric Schmidt on the Robotics Race, Singularity Timeline, and Energy Shortage" · source
Prediction text
Human-like computer agents NOT achievable within a year or two - science doesn't exist yet | it's easy to convince yourself that you're going to have human agents sorry, computer agents that are human-like completely within a year or two. We don't have the science for that yet
Verbatim quote
it's easy to convince yourself that you're going to have human agents sorry, computer agents that are human-like completely within a year or two. We don't have the science for that yet
Predictor: Eric Schmidt
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
This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.
Probability over time
Milestone chain
- 2025-04-15overdueSchmidt's 'science doesn't exist yet' claim disputed by 'million programmer' rhetoricHow: Schmidt publicly says 'most programmers replaced within a year' or similar, contradicting his own 'no human-like agents within a year or two' claimSource: https://san.com/cc/former-google-ceo-predicts-ai-will-replace-most-programmers-in-a-year/conf 85%Notes: Schmidt himself has been internally inconsistent on agent timelines; this prediction frames the conservative side.
- 2026-01-01 → 2026-12-31pendingOpenAI/Anthropic/Google ship long-horizon agent benchmarks (multi-hour tasks)How: At least one frontier lab publishes evals where a single agent completes 4+ hour expert workflow end-to-end with >70% success rate on novel tasksSource: Anthropic / OpenAI / DeepMind public evals; SWE-bench Verified; METR Long-tasksconf 70%
- 2026-04-30 → 2027-04-30pendingSchmidt softens timeline within 12 months of 2026 statementHow: Schmidt publicly revises 'science doesn't exist' claim, citing new architecture (continuous learning, persistent memory, RL-from-tool-use) that fills the gapSource: Future Schmidt interviews / op-edsconf 50%
- 2026-06-01 → 2027-12-31pendingFrontier labs ship continuous-learning / online-update agent capabilityHow: Major lab releases agent that updates weights or persistent memory mid-session and demonstrates capability gain across days/weeks of operationSource: Anthropic / OpenAI / DeepMind release notesconf 55%Notes: Schmidt's 'science doesn't exist yet' implicitly points to lack of continuous-learning architectures.
- 2027-01-01 → 2028-08-31pendingAgent reliability on multi-step tasks crosses 80% on standardized benchmarkHow: Public benchmark (e.g., GAIA, AgentBench, OSWorld) shows top model >80% success on long-horizon multi-tool tasks — a marker for human-like reliabilitySource: GAIA benchmark, AgentBench, OSWorld leaderboardsconf 55%
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": 1,
"kappa": 0.6875,
"base_rate": null,
"predictor": "Eric Schmidt",
"total_llr": -0.4054651081081644,
"grace_days": 7,
"bayesian_v2": true,
"prior_logit": 0.13528433116554017,
"bayes_factor": "1.3:1 against",
"blend_reason": "no reference_class linked",
"inside_prior": 0.5337695946560764,
"kappa_source": "predictor_table",
"n_milestones": 1,
"blend_applied": false,
"contributions": [
{
"llr": -0.4054651081081644,
"kind": "llm_pre_event",
"kappa": 0.584375,
"label": "Schmidt's 'science doesn't exist yet' claim disputed by 'million programmer' rhetoric",
"weight": 0.4,
"strength": "weak",
"confidence": 0.85,
"source_url": "https://san.com/cc/former-google-ceo-predicts-ai-will-replace-most-programmers-in-a-year/",
"adjusted_llr": -0.23694367255070856,
"expected_date": "2025-04-15",
"measurement_criterion": "Schmidt publicly says 'most programmers replaced within a year' or similar, contradicting his own 'no human-like agents within a year or two' claim"
}
],
"evidence_kind": "metadata_milestone_miss_sweep",
"inside_source": "history_v2",
"inside_weight": 0.3,
"outside_weight": 0.7,
"posterior_prob": 0.474607029782922,
"posterior_logit": -0.10165934138516838,
"predictor_brier": 0.0064,
"inside_posterior": 0.474607029782922,
"blended_posterior": 0.474607029782922,
"reference_class_id": null,
"total_adjusted_llr": -0.23694367255070856,
"predictor_n_resolved": 3
}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 |
|---|---|---|---|---|---|
| killer | TK03 AI Regulatory Moratorium (EU/US Capability Freeze) | 10.0% | 0.050 | 0.600 | +0.070 |
| killer | TK09 Energy Grid Cap (Data Center Power Wall) | 35.0% | 0.050 | 0.600 | -0.067 |
| killer | TK02 AI Compute Supply Shock (TSMC/Taiwan Disruption) | 12.0% | 0.050 | 0.600 | +0.059 |
| prereq | SEM_027 Nvidia Data Center revenue +66% YoY, contributing ~90% of $5 — Joseph Moore | 68.3% | 0.600 | 0.050 | -0.055 |
| prereq | SEM_014 Nvidia's Arizona-based TSMC factory successfully fabricated — Jensen Huang | 86.1% | 0.600 | 0.050 | +0.044 |
Top outgoing (children)
Predictions THIS node influences
| Kind | Node | Their prob | P(c|s=T) | P(c|s=F) | Δ implied |
|---|---|---|---|---|---|
| prereq | 246_017 Europa Clipper will arrive at Jupiter in 2030, conducting 50 — Peter Diamandis | 37.7% | 0.650 | 0.050 | -0.040 |
| prereq | 247_035 Dario Amodei will solve most/all neurological diseases by en — Dario Amodei | 38.8% | 0.700 | 0.050 | -0.026 |
| prereq | 246_016 Dragonfly nuclear-powered octicopter arrives at Titan in 203 — Peter Diamandis | 35.6% | 0.650 | 0.050 | -0.018 |
| prereq | 230_020 Peter's 14-year-old son Milan will never get a driver's lice — Peter Diamandis | 34.7% | 0.650 | 0.050 | -0.009 |
| prereq | 240_036 TEPCO's restarted reactor will support 20% of Japan's electr — Peter Diamandis | 34.3% | 0.650 | 0.050 | -0.005 |
Ticker exposure
Beneficiaries (24)
Adverse (6)
Prerequisites (10)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | SEM_011 | Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips. | Capital Markets | — |
| prereq | SEM_027 | Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon. | Capital Markets | — |
| prereq | SEM_014 | Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025). | Manufacturing | — |
| prereq | SEM_029 | Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training. | Semis/Products | — |
| 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 | TK09 | Energy Grid Cap (Data Center Power Wall) | — | — |
| killer | TK05 | Rate Regime Persistence (10y > 5% through 2028) | — | — |
| killer | TK01 | AGI Capability Plateau (2026-27 Training Stall) | — | — |
| killer | TK02 | AI Compute Supply Shock (TSMC/Taiwan Disruption) | — | — |
| killer | TK03 | AI Regulatory Moratorium (EU/US Capability Freeze) | — | — |
Dependents (5)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| prereq | 247_035 | Dario Amodei will solve most/all neurological diseases by end of decade | Biotech/Longevity | — |
| prereq | 230_020 | Peter's 14-year-old son Milan will never get a driver's license. | Auto/Transport | — |
| prereq | 246_017 | Europa Clipper will arrive at Jupiter in 2030, conducting 50 passes near Europa. | Space | — |
| 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 | — |
Linked documents (1)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.720 | arxiv | AIs and Humans with Agency | — | mentions | pending | 2026-05-04 |
Raw metadata
{
"nia": false,
"url": "https://www.youtube.com/watch?v=DpwmmXmzvfo",
"mode": "PREDICTION",
"role": "Guest-CEO",
"caveats": "people are working on it",
"context": "it's easy to convince yourself that you're going to have human agents... within a year or two. We don't have the science for that yet",
"to_year": 2028,
"verbatim": "it's easy to convince yourself that you're going to have human agents sorry, computer agents that are human-like completely within a year or two. We don't have the science for that yet",
"conv_cues": "we don't have the science",
"direction": "NOT_HAPPEN",
"from_year": 2027,
"timeframe": "within 1-2 years from 2026-03-24",
"conv_level": "HIGH",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Schmidt's 'science doesn't exist yet' claim disputed by 'million programmer' rhetoric",
"notes": "Schmidt himself has been internally inconsistent on agent timelines; this prediction frames the conservative side.",
"source": "https://san.com/cc/former-google-ceo-predicts-ai-will-replace-most-programmers-in-a-year/",
"status": "overdue",
"weight": 0.4,
"ordinal": -10,
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"confidence": 0.85,
"source_url": "https://san.com/cc/former-google-ceo-predicts-ai-will-replace-most-programmers-in-a-year/",
"expected_date": "2025-04-15",
"miss_emitted_at": "2026-05-02T22:07:21.384228+00:00",
"miss_emitted_by": "metadata_milestone_sweep",
"research_origin": "deep_research",
"measurement_criterion": "Schmidt publicly says 'most programmers replaced within a year' or similar, contradicting his own 'no human-like agents within a year or two' claim"
},
{
"kind": "prereq",
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},
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"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",
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"source_id": "SEM_027",
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},
{
"kind": "prereq",
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},
{
"kind": "prereq",
"label": "Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI ",
"status": "hit",
"weight": 0.5,
"ordinal": -6,
"source_id": "SEM_029",
"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": -5,
"source_id": "SEM_012",
"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "llm_pre_event",
"label": "OpenAI/Anthropic/Google ship long-horizon agent benchmarks (multi-hour tasks)",
"source": "Anthropic / OpenAI / DeepMind public evals; SWE-bench Verified; METR Long-tasks",
"status": "pending",
"weight": 0.4,
"ordinal": -4,
"source_id": null,
"confidence": 0.7,
"expected_date": "2026-07-02",
"research_origin": "training",
"expected_date_range": {
"to": "2026-12-31",
"fr
... (truncated)