🎯 Mission control

Kardashev Scale

Best open-source learning + compute cooperative

AIPowerProgressia.com · Artificial Intelligence Power Progress · Intelligence Amplification

Track manifest coverage, AI model readiness, affiliate mesh payouts, and community opportunities from a single cosmic dashboard so every action advances us along the Kardashev scale.

📚 Manifest coverage

Learner catalog + legal archive readiness

170 / 12 priority syllabi documented

Mirror-ready

2

Resources cleared

Training-safe

2

Datasets eligibile

Total learning hours

185

Hours cataloged

Last verified

12/2/2025

Verification

Catalog coverage100%

170 / 12 priority syllabi documented

Mirror approvals1%

2 resources cleared for mirroring

Training-safe datasets1%

2 ready for personal model fine-tuning

Category mix

  • Languages (HUMAN)330h
  • History, Philosophy ,History, Philosophy & Humanities, Humanities240h
  • Audio Engineering & Music Production230h
  • Finance & Economics170h
  • Photography & Videography150h

🤖 AI modeling

Personalized model + dataset pointers

View automation pipeline →

🧠 Model pointer

Not trained yet

Provider: TBD

Status: pending

📊 Dataset pointer

training/personal-model/datasets/tier1-courses-dataset.jsonl

Samples: 90

Updated 12/4/2025, 7:12:03 AM

🤝 Affiliate mesh

Auto opt-in programs

50 active programs

AWS45-day cookie

Amazon Web Services affiliate program

10%

Scope: Cloud

Activate →
DigitalOcean45-day cookie

DigitalOcean affiliate program

25-percent-recurring

Scope: Cloud

Activate →
Linode (Akamai)45-day cookie

Linode affiliate program

15-100

Scope: Cloud

Activate →
Vultr45-day cookie

Vultr affiliate program

20-percent-recurring

Scope: Cloud

Activate →

💸 Civic + referral ledger

Transparency for compute surcharges

Live totals sourced from Supabase (or offline logs) so anyone can audit payouts, civic funds, and referral bonuses.

Download JSON →

Civic fund accrued

$0.00

0 telemetry entries

Referral rewards queued

$0.00

0 ledger rows

Display currency

USD

Override with COMPUTE_LEDGER_DISPLAY_CURRENCY

Payout automation pulls directly from these ledgers; offline modes log to logs/referral-ledger.jsonl and logs/civic-ledger.jsonl for later sync.

Opportunities

Fellowships + grants on deck

50 open calls

fellowshipDue 10/14/2025

NSF Graduate Research Fellowship

National Science Foundation

Value: USD 159,000

Details →
fellowshipDue 1/14/2026

DOE Computational Science Graduate Fellowship

Department of Energy

Value: USD 250,000

Details →
fellowshipDue 10/27/2025

Hertz Foundation Fellowship

Hertz Foundation

Value: USD 250,000

Details →
fellowshipDue 10/31/2025

Paul & Daisy Soros Fellowship

P.D. Soros

Value: USD 90,000

Details →

Kardashev alignment

Progress across knowledge, compute, and economy

The cooperative tracks how close we are to civilization-grade coverage across every pillar.

Overall score

80%

Average across knowledge, compute, economy, civic, and AI ops.

Knowledge coverage

100%

170/12 manifest entries logged

Add courses via manifest ingest

Mirror two more syllabi via npm run manifest:ingest and log licenses

Execute mission →

Compute stewardship

92%

46,000 hrs/mo pledged

50,000 hrs/mo target

Report civic GPU hours or pledge racks via /projects

Execute mission →

Economic flywheel

100%

50 affiliate programs

24+ auto opt-in partners

Add affiliate-ready resources to data/templates/affiliates_catalog.csv and rerun catalogs:refresh

Execute mission →

Civic missions

52%

3 weekly posts - 50 live missions

120 weekly updates / 30 missions

Publish build threads in /community and register fresh opportunities

Execute mission →

AI modeling lab

55%

Dataset training/personal-model/datasets/tier1-courses-dataset.jsonl (90 samples)

Dataset + personalized model logged

Run npm run train:personal -- --poll to generate a personalized tutor checkpoint

Execute mission →

What moves the dial

  • Civic missions

    Publish build threads in /community and register fresh opportunities

    Open playbook →
  • AI modeling

    Run npm run train:personal -- --poll to generate a personalized tutor checkpoint

    Open playbook →

Intelligence augmentation

Real analytics, prioritized actions

We synthesize pledges, readiness, and telemetry into Kardashev intelligence so every steward knows what moves the dial next.

Updated 9:31:23 PM

Civic missions bottleneckcritical

3 weekly posts - 50 live missions. Close the 48pt gap by running the recommended playbook.

Readiness

52%

Gap to 100%

-48 pts

  • Target

    120 weekly updates / 30 missions

Execute playbook
Civic missions underfundedcritical

Civic missions is at 52% readiness but captures only 0.0% of pledge volume. Redirect contributions here to rebalance civilization scaffolding.

Pledge share

0.0%

Readiness gap

-48 pts

  • Units committed

    0 units

  • Active pledges

    0

Deploy resources

Community telemetry

Live engagement + compute

Active tutors (7d)

5

Lesson interactions

Community compute hrs

46000

Reported monthly

Posts (7d)

3

Network updates

Projects live

3

Civic + AI missions

Kardashev pledges

Log the contribution you are willing to steward

Every pledge becomes a workstream for the cooperative treasury and tutor network.

Total pledges

0

Knowledge

0

pledged units · 0 pledges

Compute

0

pledged units · 0 pledges

Economy

0

pledged units · 0 pledges

Civic

0

pledged units · 0 pledges

AI Ops

0

pledged units · 0 pledges

Recent pledges

No pledges yet. Be the first to log one.