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