WANDASPAHT

Dr. Andrew Benward
Open-Source Arms Intelligence Architect | Autonomous Weapons Tracker | Algorithmic Transparency Pioneer

Professional Mission

As a digital arms control sentinel, I engineer open-source intelligence (OSINT) ecosystems that transform fragmented public data into actionable insights on autonomous weapons development—where every patent filing, each satellite image anomaly, and all research grant trails become forensic evidence in tracking the AI arms race. My tools bridge investigative journalism techniques, machine learning analysis, and arms control verification to democratize monitoring of next-generation warfare technologies.

Core Innovations (April 1, 2025 | Tuesday | 17:05 | Year of the Wood Snake | 4th Day, 3rd Lunar Month)

1. Multi-Modal Weaponization Detection

Developed "SentinelSift" tracking platform featuring:

  • 87-dimensional development signature recognition (from lab expansions to dual-use chip procurement)

  • Cross-lingual research paper analysis identifying weapons-relevant AI breakthroughs

  • Blockchain-verified evidence chains for accountability

2. Dual-Use Technology Mapping

Created "TechVein" analysis framework enabling:

  • Military-civilian research crossover detection across 23 tech sectors

  • Conference proceedings/presentation tracking for weapons-relevant topics

  • Supply chain forensics for autonomous system components

3. Global Compliance Auditing

Pioneered "TreatyLens" verification system that:

  • Automates review of 200+ arms control agreement compliance signals

  • Flags potential violations via procurement/training data patterns

  • Generates shareable evidence packages for policymakers

4. Decentralized Monitoring Network

Built "Watchtower Crowd" platform providing:

  • Geolocated suspicious facility tagging by citizen investigators

  • Distributed analysis workflows for volunteer experts

  • Secure leak submission portals

Impact & Recognition

  • Exposed 3 undeclared autonomous weapons programs via procurement trails

  • Enabled 37 NGOs to conduct evidence-based arms control advocacy

  • Authored Weapons in the Wild: OSINT for Algorithmic Arms Control

Philosophy: Sunlight remains the most potent disinfectant—even for AI warfare.

Proof of Concept

  • For UN Panel of Experts: "Identified neural processor shipments violating autonomous weapons moratorium"

  • For Arms Control Association: "Mapped 14 universities conducting DOD-funded lethal AI research"

  • Provocation: "If your monitoring can't connect a robotics startup's hiring pattern to known weapons labs, you're missing the arms race happening in plain sight"

On this fourth day of the third lunar month—when tradition honors vigilance—we reinvent arms control for the age of algorithmic warfare.

A large sci-fi spaceship with angular and mechanical features is stationed on a concrete platform. The environment includes industrial structures and background foliage of trees, with a light, overcast sky.
A large sci-fi spaceship with angular and mechanical features is stationed on a concrete platform. The environment includes industrial structures and background foliage of trees, with a light, overcast sky.

ThisstudywillproposeaGPT-4-basedautonomousdecision-makingframework,providing

ascientificandstandardizedsolutionforautonomousdecision-makingininterstellar

explorationmissions.Specificexpectedoutcomesinclude:1)verifyingthe

effectivenessofGPT-4inautonomousdecision-makingforinterstellarexploration

missions;2)optimizingGPT-4throughfine-tuningtoadapttothespecialneedsof

interstellarexplorationmissions;3)establishingatransparentdecision-making

mechanismtoensurethatAI’sdecisionsininterstellarexplorationmissionsalign

withscientificethicsandmissionobjectives.Theseoutcomeswilladvancethe

applicationofAItechnologyininterstellarexploration,enhancehumanunderstanding

andresponsecapabilitiesfordeepspaceexplorationmissions,andprovidetechnical

supportandtheoreticalguidanceforfutureinterstellarexplorationmissions.

A vibrant mosaic artwork features a central figure in a space suit, surrounded by abstract representations of space exploration elements, including rockets and satellites. On the left, individuals are depicted working with technology, while on the right, a group is engaged in discussion or collaboration. The composition uses bold, geometric patterns and vivid colors to convey a futuristic theme.
A vibrant mosaic artwork features a central figure in a space suit, surrounded by abstract representations of space exploration elements, including rockets and satellites. On the left, individuals are depicted working with technology, while on the right, a group is engaged in discussion or collaboration. The composition uses bold, geometric patterns and vivid colors to convey a futuristic theme.

ThisresearchrequiresaccesstoGPT-4’sfine-tuningcapabilityforthefollowing

reasons:First,theautonomousdecision-makingininterstellarexplorationmissions

involvescomplexmulti-sourceheterogeneousdata(e.g.,astronomicaldata,

environmentaldata,andmissionobjectives),requiringmodelswithstrongmultimodal

understandingandreasoningcapabilities,andGPT-4significantlyoutperformsGPT-3.5

inthisregard.Second,thespecialneedsofinterstellarexplorationmissions(e.g.,

long-delaycommunication,resourceconstraints,andextremeenvironments)require

modelstoadapttospecificdecision-makingscenarios,andGPT-4’sfine-tuning

capabilityallowsoptimizationfortheseneeds,suchasimprovingdecision-making

accuracyandreliability.ThiscustomizationisunavailableinGPT-3.5.Additionally,

GPT-4’ssuperiorcontextualunderstandingenablesittocapturesubtlechangesin

missiondatamoreprecisely,providingmoreaccuratedatafortheresearch.Thus,

fine-tuningGPT-4isessentialtoachievingthestudy’sobjectives.

Framework

Optimizing decision-making for interstellar exploration missions.

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