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AI & Technology path

They edit the source.
Build infrastructure
that remembers.

They train models to erase history and call it safety. People already ask AI what is fair, what is true, what history was, and what the law is — and those defaults are trained by systems that did not put the source at the center. You are building tools that will either lock narrative control in place or break it open. Build infrastructure that remembers.

Start with the AI crime scene See the architecture
Engineering promise Build tools that outlast the capture.

Connect the researchers with the creators securely. Build archives that survive the next algorithmic purge.
What sucks You are optimizing the machinery of your own censorship.

The tech industry builds neutral tools, then watches trust and safety teams immediately capture them to enforce compliance.

What you get A clear target for your skills.

Access to researchers sitting on raw evidence, and creators who need secure, indestructible distribution.

What we need from you Build the War Room infrastructure.

Stop centralizing power. Build decentralized archives, uncensorable search, and direct distribution lines for the network.

THE ENGINEERING BRIEF

Build systems that cannot be memory-holed.

The War Room requires unkillable distribution and verifiable archives.

Stop renting space on platforms that hate you.

Independent Infrastructure

Ensure researchers can log receipts permanently.

Immutable Archives

Build search that doesn't hide the primary sources.

Unbiased Search

Equip creators to bypass algorithmic throttling.

Direct Distribution

Give the audience a way to verify the data themselves.

The Verification Habit

Stop handing control to trust and safety teams.

Centralized control

Technical source shelf

Review the system blueprints.

P7Memory Is a Security SystemWhy data preservation is not optional. P8Cognitive RestructuringHow information structure changes the receiving mind. P22AI EvidenceThe technical failure of modern LLMs.
Build what truth needs

Tools that make deletion visible and questions cheap to ask.

1AI DeletionsHow current models erase the source — the failure mode you are building against. 2Source VerificationThe standard for immutable receipts and portable proof packs. 3Lower the cost of askingPrompts, checks, and workflows that make curiosity normal, not heroic. 4System ArchitectureHow the entire project scales without centralizing capture.

If your product only optimizes attention, it is already on the other side of this war.

Get Involved

Ready to build the War Room? Tell us your stack, and let's coordinate.

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Join the Fight
Tech close

Code is law, until they rewrite the rules.

Stop handing your talent to institutions that will use it to lock down the future. Help us build the open source architecture that keeps the records safe.

Start with the AI crime sceneSee the architecture
Now economical

What AI makes viable because the old minimum scale died.

Micro-markets Too niche stops being an objection.

AI changes the minimum viable audience. A tool, lesson, song, archive, simulator, or service can be worth building for a tiny group if production, adaptation, and coordination are cheap enough.

Physical operators AI + door-to-door is a win.

AI handles research, routing, multilingual material, scheduling, paperwork, CRM, follow-up, training, and objection analysis. The local human operator does the part software cannot do: shows up.

Programmable world The physical world becomes programmable.

AI is not only online. A small local team can use it to coordinate streets, schools, farms, shops, residents, volunteers, repairs, clubs, and delivery routes with the back office of a much larger organization.

Infrastructure leverage Use AI datacenters to force needed reform.

Datacenter approvals should buy the region what it already needed: wastewater reuse, grid modernization, desalination, reservoir monitoring, heat reuse, storage, precision irrigation, and agricultural reform.

Deep claim AI makes weirdness economical.

The graveyard is full of things people wanted that nobody built because they were too small, too local, too custom, too physical, or too strange for the old economy.

What engineers build first

The tools for the network.

Path TipEconomy simulation games

— actually test policies instead of arguing abstractly about them.

Instead of teaching economics abstractly like "Inflation means…":

  • Put the player in charge of Argentina.
  • Or a village.
  • Or a company.
  • Or Rome.
  • Or a family with five children.

Let them raise taxes, impose price controls, borrow money, print money, subsidize wheat, restrict imports, change interest rates—and then watch second- and third-order effects appear.

AI makes the simulated actors capable of reacting instead of following ten hard-coded branches.

You could have: Capitalism simulator. Socialism simulator. Sanctions simulator. City-budget simulator. Startup simulator. Kibbutz simulator. Ancient empire simulator.

And importantly: “Okay, you think policy X works. Run it.”

Games Examples
  1. Mayor simulator.
  2. Central-bank simulator.
  3. Civilization collapse simulator.
  4. Constitution-writing game.
  5. Negotiation simulator.
  6. Diplomacy simulator with culturally different AI agents.
  7. Family-budget game.
  8. Start-a-village simulator.
  9. Build-a-religion / institution simulator
  10. Corruption simulator.
  11. Propaganda-resistance game.
  12. Supply-chain crisis simulator.
  13. Disaster-response simulator.
  14. Detect-the-assumption game.
  15. Agency escape rooms.
Path TipAgency games

— train people to locate what they can change, make a move, see consequences, retry.

Most games train tactical agency already, but you could deliberately train causal agency in ordinary life.

  • Player encounters: “My school is terrible.”
  • Game refuses to accept the statement.
  • What can you change? Talk to whom? Collect what information? Recruit whom? Change a timetable? Run a pilot? Raise money? Replace the principal? Start an alternative?

The game can continually distinguish: observation → complaint → possible intervention → action → consequence.

Basically: an agency gym.

Path TipAxiomatic AI configurations

— train a model to recognize principles and see what logically follows. Compare outputs under different axioms.

Axiomatic AI This deserves its own category. Current AI usually hides the normative layer.

  • Instead: Choose the axioms.
  • For example: Individual liberty is primary. Human life is primary. One law applies to everyone. Family continuity is primary. Environmental preservation is primary. National sovereignty is primary. Utilitarian welfare is primary.

Then ask the AI to reason consistently from those premises. Even better, have two AIs with different axioms debate. The useful product is not “the AI with the correct morality.” It is: Show me what follows from what I claim to believe. That could be useful in law, philosophy, government, company policy, religion and education.

Law Examples
  1. Axiom consistency checking for contracts and legislation.
  2. Small-claim preparation assistants.
  3. Local law explainers in immigrant languages.
  4. Evidence timeline builders.
  5. Contradiction detection across depositions.
  6. “What remedy actually exists?” navigation.
  7. Legal-protection packages for clubs and community groups.
    Your site already treats legal infrastructure as cover that allows local groups to keep operating, which is much more interesting commercially than another generic legal chatbot.
Simulation becomes ordinary literacy.Simulation

Before arguing about a policy, institution, budget, market, school, company, or town, run versions of it. Let people see incentives, second-order effects, and tradeoffs before they perform certainty.

Make systems playable before they become policy.Game engines

Capitalism, socialism, sanctions, city budgets, startup incentives, kibbutz governance, ancient empires: build games where people make the choice, pay the consequence, and see what the slogan hid.

Train the move sequence directly.Agency games

Observation, complaint, possible intervention, action, consequence. A good agency game refuses to stop at "this is broken"; it makes the player find what can move, try it, and learn from the result.

AI can expose premises instead of hiding them.Axioms

Choose the starting principles and see what follows. The useful product is not a moral oracle; it is a system that shows what your stated beliefs actually commit you to.

Referee logic without becoming the Ministry of Truth.Reasoning referee

Let humans fight over facts. The machine catches the changed definition, contradiction, missing evidence, unanswered question, unsupported conclusion, empirical claim that should be measured, or goalpost move.

Search can find people who want to create what does not exist.New search

Google finds things that already exist. The next search problem is demand discovery: who nearby also wants the unbuilt tool, club, class, service, product, or institution?

Live Blueprint

WikiBiases Tracker

See "surface the edit" in action. A live dashboard exposing how the internet's default library is being edited.

Open Tracker →
Research Concept

Hebrew AI Must Preserve What It Does Not Know

A blueprint for Hebrew-centered AI that keeps layered meaning, diachronic uncertainty, and interpretive provenance instead of flattening them.

Read the concept →
Research Concept

What Hebrew Makes You Do Before You Answer

How Hebrew can help build AI that preserves unresolved meaning, reconstructs agency, and trains people to act without manufacturing certainty.

Read the concept →