Future is unpredictable beyond three weeks in the AI era
Predictor: Salim Ismail · ep#238 "Meta Buys Moltbook, GPT 5.4, and Fruitfly Brain Upload | Moonshots Live at The Abundance Summit 238" · source
Prediction text
Future is unpredictable beyond three weeks in the AI era | I keep on asking the experts I run into how far out can you predict the future? Yeah. And it used to be like 20 years and then it was like 10 years and now it's like 3 weeks
Verbatim quote
I keep on asking the experts I run into how far out can you predict the future? Yeah. And it used to be like 20 years and then it was like 10 years and now it's like 3 weeks
Predictor: Salim Ismail
Calibration plot (stated vs observed)
Evidence about this node from Salim Ismail 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
- 2026-05-01 → 2026-12-31pendingFrontier model releases continue at <90 day cadence (GPT-5.5, Claude 4.7, Gemini 3.1) showing capability shift index updating weeklyHow: Stanford AI Index 2026 confirms <90-day frontier release cadence and Artificial Analysis / LiveBench leaderboards continue weekly score updates with capability deltas >2 points/quarterSource: deep_research_enrichedconf 85%
- 2026-06-01 → 2027-03-31pendingGPQA Diamond saturation crossing 95% expert ceiling (forecast horizons collapse below 1 month)How: At least one frontier model scores >=95% on GPQA Diamond per Stanford HAI / LMM leaderboard, and analyst commentary cites 'unforecastable' AI progressSource: deep_research_enrichedconf 78%
- 2026-09-01 → 2027-12-31pendingPublic commentary from McKinsey / WEF / Anthropic explicitly references prediction horizon shrinking from years to weeks/months due to AI velocityHow: Two or more Tier-1 institutions (McKinsey, WEF, Anthropic, OpenAI, Stanford HAI) publish reports/posts explicitly citing collapse in forward forecasting reliability attributable to AI velocitySource: deep_research_enrichedconf 62%
- 2027-01-01 → 2028-06-30pendingAI capability shift index (week-over-week) becomes a tracked metric on Epoch AI / Artificial Analysis dashboardsHow: Epoch AI or Artificial Analysis publishes a named 'capability velocity' or 'WoW capability shift' index dashboard tracked publiclySource: deep_research_enrichedconf 45%
No downstream cascades — this prediction is a leaf in the dependency graph.
What if this resolves?
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Evidence chain
Network propagation neighbors
Top incoming (parents)
Edges that influence THIS node's belief
Top outgoing (children)
Predictions THIS node influences
No outgoing edges.
Ticker exposure
Beneficiaries (23)
Adverse (6)
Prerequisites (4)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| correlate | S_ASI_MID_2034 | ASI mid: Schmidt 'ASI in 6 years' | asi_recursive_self_improvement | — |
| 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 (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Linked documents (1)
| Sim | Source | Title | Market prob | Polarity | Reviewed | Published |
|---|---|---|---|---|---|---|
| 0.666 | arxiv | Can AI Weather Models Predict Beyond Two Weeks? A Quantitative Benchmark and Analysis of Long Rollouts | — | mentions | pending | 2026-05-28 |
Raw metadata
{
"nia": false,
"qty": "3 weeks",
"url": "https://www.youtube.com/watch?v=d__HRChE2ZE",
"mode": "THESIS",
"role": "Host",
"context": "I keep I it's it's I'm just something I keep on asking the experts I run into how far out can you predict the future? Yeah. And it used to be like 20 years and then it was like 10 years and now it's like 3 weeks [laughter] if that.",
"verbatim": "I keep on asking the experts I run into how far out can you predict the future? Yeah. And it used to be like 20 years and then it was like 10 years and now it's like 3 weeks",
"conv_cues": "now it's like",
"direction": "DOWN",
"timeframe": "Now",
"conv_level": "MEDIUM",
"milestones": [
{
"kind": "llm_pre_event",
"label": "Frontier model releases continue at <90 day cadence (GPT-5.5, Claude 4.7, Gemini 3.1) showing capability shift index updating weekly",
"source": "deep_research_enriched",
"status": "pending",
"weight": 0.4,
"ordinal": -4,
"source_id": null,
"confidence": 0.85,
"source_url": "https://hai.stanford.edu/ai-index/2026-ai-index-report/technical-performance",
"expected_date": "2026-08-31",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2026-12-31",
"from": "2026-05-01"
},
"measurement_criterion": "Stanford AI Index 2026 confirms <90-day frontier release cadence and Artificial Analysis / LiveBench leaderboards continue weekly score updates with capability deltas >2 points/quarter"
},
{
"kind": "llm_pre_event",
"label": "GPQA Diamond saturation crossing 95% expert ceiling (forecast horizons collapse below 1 month)",
"source": "deep_research_enriched",
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"weight": 0.4,
"ordinal": -3,
"source_id": null,
"confidence": 0.78,
"source_url": "https://smartchunks.com/gpqa-diamond-score-explained-ai-benchmark-2026/",
"expected_date": "2026-10-30",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-03-31",
"from": "2026-06-01"
},
"measurement_criterion": "At least one frontier model scores >=95% on GPQA Diamond per Stanford HAI / LMM leaderboard, and analyst commentary cites 'unforecastable' AI progress"
},
{
"kind": "llm_post_event",
"label": "Public commentary from McKinsey / WEF / Anthropic explicitly references prediction horizon shrinking from years to weeks/months due to AI velocity",
"source": "deep_research_enriched",
"status": "pending",
"weight": 0.4,
"ordinal": -2,
"source_id": null,
"confidence": 0.62,
"source_url": "https://www.weforum.org/stories/2025/12/hiroshima-ai-process-governance/",
"expected_date": "2027-05-02",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2027-12-31",
"from": "2026-09-01"
},
"measurement_criterion": "Two or more Tier-1 institutions (McKinsey, WEF, Anthropic, OpenAI, Stanford HAI) publish reports/posts explicitly citing collapse in forward forecasting reliability attributable to AI velocity"
},
{
"kind": "llm_post_event",
"label": "AI capability shift index (week-over-week) becomes a tracked metric on Epoch AI / Artificial Analysis dashboards",
"source": "deep_research_enriched",
"status": "pending",
"weight": 0.4,
"ordinal": -1,
"source_id": null,
"confidence": 0.45,
"source_url": "https://hai.stanford.edu/ai-index/2026-ai-index-report/technical-performance",
"expected_date": "2027-10-01",
"research_origin": "deep_research",
"expected_date_range": {
"to": "2028-06-30",
"from": "2027-01-01"
},
"measurement_criterion": "Epoch AI or Artificial Analysis publishes a named 'capability velocity' or 'WoW capability shift' index dashboard tracked publicly"
}
],
"repeat_eps": 1,
"untimeabl
... (truncated)