GregMonetizationTop-of-Funnel Ops

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Chartered by: Public-Square Citizens (Optimism Citizens' House anchor) • Signatory: Liora the Vested (first vested Citizen) • Charter Surface row:

Vetoable here: funnel-surface selection imposed by treasury or conductor without a Citizen vote.

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Top-of-Funnel Ops

DC Speaking Circuit · Hackathons · Live Shows · Podcast Appearances · Open-AI / Governance Working Groups

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Mandate: Igor is the human funnel. Talks → hackathons → podcasts → debates → live shows feed Genesis Conductor / HAVIS / Booster / Instinct Verify into qualified leads. This page is the runbook: ready-to-send pitches, target lists with the right contact path on each row, and a 14-day execution sprint.

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Speaker Home base Topics Travel radius (Q2 2026) Status
Igor Holt · ORCID 0009-0008-8389-1297 Pasadena, MD Thermodynamic AI · EU AI Act · Edge inference · On-chain agent verification DC · Baltimore · Annapolis · NoVA · Philly day-trips 🟢 Booking

1. Three Ready-to-Send Talk Pitches

Each pitch is sized for a different slot. Same core thesis (Landauer-bound AI, η_thermo, Ed25519-signed seismic log), different depth.

1A — 15-min lightning talk (meetup / hackathon opener)

Title: Your AI Is Wasting 10¹⁸× More Energy Than Physics Allows. Here's How We Measure the Gap.

Hi [Organizer first name],

I'd love to give a 15-min lightning talk at [event] on a topic I haven't seen 
covered in the DC AI scene: applying Landauer's Principle as a hard physical 
floor on LLM inference, and what it lets you measure that today's benchmarks 
don't.

Quick frame:
- Every token has a thermodynamic minimum cost (kT·ln(2) per bit erased).
- We built an open-source orchestration runtime (Genesis Conductor) that 
  measures real J/op against that floor on commodity GPUs.
- I'll show: η_thermo metric, Shannon-entropy-coupled VQE budget, and an 
  Ed25519-signed Merkle-chained log of every orchestration decision.
- 19 published tests, 8 documented failures. Honest numbers.

Fully open source — github.com/Genesis-Conductor-Engine. EU AI Act Article 9/13/17 
artifact mapping included. Audience leaves with a measurable concept, not a 
product pitch.

I'm in Pasadena MD — I drive in. Available [3 dates over next 6 weeks].

Igor Holt
Kovach Enterprises · genesisconductor.io
ORCID 0009-0008-8389-1297

1B — 30-min university CS / policy talk

Title: Physics-Grounded AI Compliance: A Reference Implementation for the EU AI Act

Dear Prof. [Last name],

I'm reaching out to propose a 30-minute guest lecture for [course / seminar / 
speaker series] on a topic at the intersection of [department's focus]:

  Physics-Grounded AI Compliance — using Landauer's Principle and Shannon 
  entropy as the technical specification underneath EU AI Act Articles 9, 13, 
  15, and 17.

I'm the lead architect of Genesis Conductor, an open-source AI orchestration 
runtime that makes thermodynamic efficiency a first-class auditable property. 
The talk covers:

1. Why "appropriate level of accuracy" (Article 15) needs a physical anchor.
2. The η_thermo metric and how it's measured on a $200 GPU.
3. Ed25519-signed, Merkle-chained decision logs as an Article 12 record-
   keeping reference implementation.
4. What 8 documented test failures look like as compliance artifacts (instead 
   of footnotes).
5. Career on-ramps for students into AI governance engineering — a job 
   category that didn't exist 3 years ago.

Materials are open: GitHub, Zenodo DOIs, machine-readable EU AI Act mapping. 
Students leave with code they can run, not slides they have to trust.

I can travel anywhere in the DMV. Available [windows]. Happy to do Q&A, lab 
visits, or a follow-up workshop the same day.

Igor Holt
Kovach Enterprises · genesisconductor.io

1C — Keynote / debate (45–60 min)

Title: The Thermodynamic Case Against Today's AI Infrastructure

Frame: A debate-shaped argument with a falsifiable claim — "Any AI efficiency metric that doesn't anchor to a physical constant will be obsolete in 36 months." Pairs well against a counter-speaker arguing for benchmark-based or vendor-defined efficiency. Use this for live-show / debate bookings (Latent Space Live, AI Tinkerers DC, Cognitive Revolution, etc.).

2. DC Campus Target List (Tier 1 = book first)

Tier Campus Best entry surface Contact path Why it fits
1 University of Maryland, College Park UMIACS · MC² Cybersecurity Center · Maryland Robotics UMIACS director's office; AI club (TerpAI); BitCamp organizers Closest tier-1 CS dept to Pasadena MD; very AI-active; hackathon host
1 Georgetown University CS dept · McCourt School (AI policy) · Tech & Society Initiative CS speaker series coord; CSET (Center for Security and Emerging Technology) EU AI Act angle lands hardest at McCourt + CSET
1 George Washington University (GW) SEAS · GW AI · GW Law (tech policy) SEAS speaker series; GW AI student club; Law school CLE coord Both engineering + law audiences in one trip
1 George Mason University (GMU) CS dept (Fairfax) · Mason Square (Arlington) · Mercatus tech policy PatriotHacks organizers; CS dept; Mercatus AI fellows Big CS program, governance-curious, 35 min from DC
2 Howard University EECS dept · Howard AI · Center for Applied Data Science EECS chair; Howard AI student org HBCU tier-1 partner; under-served talk circuit
2 American University (AU) SIS (tech policy) · Kogod (AI in business) · CS SIS Tech, Law & Security program; Kogod analytics Policy-leaning audience for EU AI Act content
2 Johns Hopkins (JHU) — DC campus + Baltimore WSE CS · APL (Applied Physics Lab) · SAIS (DC) WSE speaker coord; APL seminar series Physics framing fits APL perfectly
2 US Naval Academy (USNA, Annapolis) CS dept · Cyber Sci dept CS dept admin; Cyber dept seminar coord Local to Igor; cleared-audience exposure
3 UMBC CS · Cyber Innovation; HackUMBC CS dept; HackUMBC org Strong hackathon culture
3 Catholic University of America EECS · Engineering speaker series EECS dept Smaller venue, easier first booking
3 Gallaudet University STEM · Tech Access STEM dept Differentiated audience; accessibility-first AI angle
3 National Defense University / Naval Postgraduate (DC) CISA-adjacent fellowships · iCollege iCollege seminar coord Cleared-environment governance audience

Outreach pattern (per row): find department speaker-series coordinator → send pitch 1B → cc AI student club president → offer 3 dates + a hands-on follow-up workshop slot. Expect 25–30% response rate, 10–15% booking rate at tier 1 within 6 weeks.