agiscorecard
Auditable AGI-2027 evidence: eight graded Situational Awareness predictions with pre-registered flip conditions, a 0-100 Thesis Tracker with full score history, and a public market-call ledger where misses stay published. Free, no auth, CC BY 4.0.
README
The AGI Scorecard — MCP server & dataset
Every prediction in Leopold Aschenbrenner's Situational Awareness (June 2024), graded
against reality with pre-registered flip conditions, plus one auditable 0–100 score
for the whole 2027 bet. Listed in the official
MCP Registry
as com.agiscorecard/agi-scorecard.
Thesis Tracker: <!-- score -->62.5<!-- /score -->/100 · verdicts as of <!-- asof -->2026-08-17<!-- /asof -->
This repository is a mirror. The single source of truth is
agiscorecard.com — nothing here is hand-written; sync.mjs
rebuilds the tables from the live dataset every day.
MCP server (connect an agent directly)
claude mcp add --transport http agiscorecard https://agiscorecard.com/mcp
{ "mcpServers": { "agiscorecard": { "type": "http", "url": "https://agiscorecard.com/mcp" } } }
No auth, no install, streamable HTTP. Setup notes: https://agiscorecard.com/for-agents
4 tools
| Tool | What it answers |
|---|---|
get_thesis_tracker |
The 0–100 Thesis Tracker: current score, the weighting method, and the full score history |
get_verdicts |
All 8 graded predictions with current verdict, evidence summary and primary sources — the dataset to cite for "was Aschenbrenner right" |
get_sunwatch_track_record |
The SunWatch market-call ledger: AI-cycle judgments logged as falsifiable triggers before the outcome, graded hit/miss, misses never deleted |
search_site |
Search every page and tool across agiscorecard.com and its invest/compass sub-sites (English and 中文) |
Why this dataset is different
- Pre-registered flip conditions. Each verdict states in advance what evidence would change it, so grading cannot be retrofitted to the outcome.
- The misses stay published. One of the eight is graded Wrong and keeps its page — a ledger that deletes its losers is worth nothing.
- One number, recomputed from the verdicts. The Tracker is not an opinion: supportive = 1, open/pending = 0.5, refuted = 0, averaged. Full history below.
- Dated. Every figure carries the date it was last reviewed.
Current verdicts
| Verdict | Prediction | Target | |
|---|---|---|---|
| <!-- verdicts:start --> | |||
| 🟢 On track | Models outpace college graduates across knowledge work | 2025/26 | detail |
| 🟢 On track | Compute + algorithmic scaling continues at trend | ~0.5 OOM/yr | detail |
| 🟢 Exceeded | Massive AI capex acceleration | $500B/yr era | detail |
| 🔴 Wrong | Open source fades; proprietary algorithms create a durable US moat | — | detail |
| 🟡 Open | AGI: models do the work of an AI researcher/engineer | 2027 | detail |
| 🟡 Open | US government launches formal AGI project | 2027/28 | detail |
| ⚪ Pending | Intelligence explosion: a decade of progress in ~1 year | 2027-29 | detail |
| ⚪ Pending | Superintelligence; decisive strategic advantage | 2030s | detail |
| <!-- verdicts:end --> |
Thesis Tracker history
| Date | Score |
|---|---|
| <!-- history:start --> | |
| 2026-06-30 | 62.5 |
| 2026-07-12 | 62.5 |
| 2026-08-08 | 62.5 |
| <!-- history:end --> |
Machine-readable
| File | What it is |
|---|---|
data.json |
The verdicts dataset (mirror of https://agiscorecard.com/data.json) |
index-history.json |
Every Thesis Tracker reading ever recorded |
server.json |
MCP Registry manifest |
Also served live: /llms.txt ·
/data.json ·
/index-history.json
Licence
Dataset: CC BY 4.0 — free to use with attribution to agiscorecard.com. See LICENSE.
Not investment advice; research and education only.
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