Aaron Kushner, Ph.D.

An air-sports venue and its engineering program, built as one digital twin. The AirPark is guaranteed-safe flight for everyone — licensed or not — and the aircraft program behind it is the seed of a universal, natural-language engineering engine.

The venue

• Fly in and step into a high-performance machine: aerobatics, engine-outs, stall/spin recovery — all backed by an autonomous fail-safe. No navigation, no pre-flight.
• No license required inside the protected zone: guided first flights, AR race gates at altitude, coached mock dogfights.
• The full-park digital twin flies millions of simulated hours against worst-case scenarios before any part of the park is built.
• Purpose-built electric aircraft: austere, rugged, a fraction of GA cost — where private pilots can train landings, engine outs, and deep stalls with high-tech autonomous escape backup.

The engineering engine

• Every airframe hardens a universal engineering loop: natural-language design intent → CFD, structural FEM, flight simulation, crash test — physics as the pass/fail oracle, “deploy” as a manufacturable package.
• The systems side — digital twin, AI trainer, cybersecurity, collision avoidance — is integrated from inception with the physical side: complete cyberphysical systems.
• Real deployment risks remain (engineers, IP, real estate, the FAA) — but the sunk cost-to-prototype-to-Series-A engineering risk is dramatically reduced.
• Generalizes to an open, hard-tech-agnostic atoms-to-objects engine operable in natural language — de-risking hard-tech ideas that previously never found funding.

Philosophies and practical plans for socioeconomically responsible AI implementation — maximum diffusion at maximum safe speed, communicated to the public.

AI made claiming authorship of generated work effortless — and after-the-fact detection is structurally impossible, producing failed catches and false accusations alike. The answer is provenance: git-backed hashing of individual input and output, recording how work was actually made.

• Protects the honest: a tamper-evident record replaces guesswork — no failed detection, no irrefutable false accusation.
• Generalizes past cheating: the same records make exploitative financial conduct identifiable fast (the 2008-crisis incentive inversion), instead of relying on moral courage against profit.
• Gives digital backing to honest contribution accounting: “you get out of it what you put into it” — not punitive, honest — ending plausible-deniability free-riding on teams.

AI made cheating effortless and detection impossible — failed catches and false accusations alike. TeacherAware records the writing process instead of guessing at the product: a digitally proctored workspace whose tamper-evident credential protects the honest student and answers the teacher in seconds. Free, LMS-friendly. Assign writing homework again!

Verifiable AI-powered independent research — digitally peer reviewed by three frontier models, tamper-evident by construction, human-decided at the editorial desk. The publishing system for science at the speed of silicon, built with and powered by AI from bit 0. A "massive multiplayer" complement to institutional research, at a fraction of the cost.

Einstein had three kinds of luck: his mind, his moment, and the pricey school built for how he thought. The first two cannot be manufactured — the third now can, for anyone. Open-ed is adaptive, case-based, schema-before-facts, American-values-forward curriculum that meets each mind where it is, empowering teachers rather than replacing them.

The model

• No labels, no tracks: natural strengths encouraged, gated on competence in the harder areas — eliminating the numerical-reasoning-as-intelligence tradeoff that leaves everyone else feeling inferior.
• Proven structure (Alpha Schools): mastery-based AI academics in two hours a day, the rest for leadership, grit, financial literacy, entrepreneurship.
• Pricing built for access: means-based for home-schoolers, for charter schools and public schools, within current public schools’ IT budgets.
• The same engine retrains the worker crossing into the post-AI economy: a GI Bill at zero marginal cost, on infrastructure already in a billion pockets.

Live now

• A full K-12 curriculum is a team project AI makes fast; meanwhile the case-based method targets adult scientific literacy — AI is happening to people, out of their control, and without a clear example of how it benefits them. The products below are built to change that. Two are live and free:

The flagship R&D Workbench, pointed at biology — with live success already on record.

• De-risks a bioengineering program in silico — design, pathway, scale-up math — at roughly $10K where the wet-lab equivalent once demanded $10M.
• First target: scalable hallucinogen-therapy products, behind a full-suite in-silico R&D engine.
• Then the general targets the last biotech boom over-promised — biofuels among them — now armed with a decade of advances the original hype never had. One proof opens the floodgates.