Alpha aims to build 10,000 schools and reach a billion kids over 20 years.
Predictor: Joe Liemandt · ep#233 "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233" · source
Prediction text
Alpha aims to build 10,000 schools and reach a billion kids over 20 years. | the biggest one that I think to hit scale, building schools and rebuilding from scratch is, you know, I got 20 years, so we're going to build 10,000 schools, you know, and that's going to be great and I love it. Um but how do I get to a billion kids, right? How do we drive this out to a billion kids?
Verbatim quote
the biggest one that I think to hit scale, building schools and rebuilding from scratch is, you know, I got 20 years, so we're going to build 10,000 schools, you know, and that's going to be great and I love it. Um but how do I get to a billion kids, right? How do we drive this out to a billion kids?
Predictor: Joe Liemandt
Calibration plot (stated vs observed)
Evidence about this node from Joe Liemandt is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).
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Evidence chain
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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% | 0.450 | 0.050 | -0.051 |
| prereq | SEM_012 Nvidia quadrupled chip production output while only doubling — Jensen Huang | 75.0% | 0.450 | 0.050 | -0.045 |
| prereq | SEM_008 Training runs costing $10 billion for a single model will co — Dario Amodei | 76.9% | 0.450 | 0.050 | -0.038 |
| prereq | 238_009 Recursive self-improvement is already happening now (no long — Alex Wissner-Gross | 78.1% | 0.450 | 0.050 | -0.033 |
| killer | TK14 Superbubble Pop (S&P 500 -40%, Moonshot Capital Evaporates) | 20.0% | 0.050 | 0.450 | -0.022 |
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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 (0)
| Type | Pred | Title | Domain | Lag |
|---|---|---|---|---|
| No dependents | ||||
Raw metadata
{
"nia": false,
"qty": "10,000 schools / 1 billion kids",
"url": "https://www.youtube.com/watch?v=X94eBT-VZnc",
"mode": "ASPIRATION",
"role": "Guest-CEO",
"context": "the biggest one that I think to hit scale, building schools and rebuilding from scratch is, you know, I got 20 years, so we're going to build 10,000 schools, you know, and that's going to be great and I love it. Um but how do I get to a billion kids, right? How do we drive this out to a billion kids? And if motivation is your number one issue, right? This engine part's easy in the scheme of things.",
"to_year": 2046,
"verbatim": "the biggest one that I think to hit scale, building schools and rebuilding from scratch is, you know, I got 20 years, so we're going to build 10,000 schools, you know, and that's going to be great and I love it. Um but how do I get to a billion kids, right? How do we drive this out to a billion kids?",
"conv_cues": "we're going to build 10,000 schools",
"direction": "NUMERIC_TARGET",
"from_year": 2026,
"timeframe": "20 years (~2046)",
"conv_level": "HIGH",
"milestones": [
{
"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": -4,
"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",
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"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": -2,
"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": -1,
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"expected_date": "2026-04-29",
"observed_date": "2026-04-29"
},
{
"kind": "event",
"label": "Alpha aims to build 10,000 schools and reach a billion kids over 20 years.",
"status": "pending",
"weight": 1,
"ordinal": 0,
"source_id": "233_010",
"expected_date": "2040-05-30",
"observed_date": null
}
],
"repeat_eps": 1,
"affiliation": "Alpha Schools",
"attribution": "FIRST_PERSON",
"episode_num": 233,
"granularity": "RELATIVE_DURATION",
"target_date": "2046-06-15",
"display_date": "2040-05-30",
"episode_date": "2026-02-25",
"parse_method": "RELATIVE +20y",
"domain_bucket": "Labor",
"episode_title": "This $40M AI Company Is Using AI Tutors to Teach 2 Hours/Day | #233",
"fault_line_id": "F001, F002, F003",
"flag_repeated": false,
"in_5yr_window": false,
"appears_in_eps": "233",
"is_macro_claim": false,
"total_mentions": 1,
"priority_weight": 3,
"ps_cluster_tags": [
"C2",
"C3",
"C5"
],
"active_end_month": "2046-12",
"months_from_today": 242,
"active_start_month": "2026-01",
"december_dispersal": {
"reason": "december_dispersal: domain=Education → 09/2046",
"new_date": "2046-09-30",
"old_date": "2046-12-31",
"applied_at": "2026-04-30T16:28:34.304992+00:00"
},
"flag_nia_bracketed": false,
"track_record_grade": "C+",
"track_record_notes": "Alpha Schools; scaling claims largely internal.",
"flag_near_term_2027": true,
"flag_high_conviction": true,
"milestones_phase2_at": "2026-05-01T21:36:15.945180+00:00",
"milestones_derived_at": "2026-05-02T03:08:48.963597+00:00",
"reference_class_match": {
"decision": "key