Defense Distributed Unveils WASP, the First AI-Generated 3D-Printed Handgun

The Debut of the "Vibe-Coded" Firearm

Thirteen years after creating the world’s first 3D-printed firearm, gun-rights activist Cody Wilson and his organization, Defense Distributed, have introduced what they claim to be the first firearm designed by artificial intelligence.

Dubbed the "WASP," the single-shot .22-caliber handgun was generated using GatGPT, a custom, unfiltered AI model trained on DEFCAD—the world’s largest digital library of gun and component files. Unlike mainstream AI assistants restricted by safety guardrails, GatGPT answers technical questions about firearms and assists users in designing and building custom guns through natural-language prompts.

During a live test fire outside Defense Distributed’s headquarters in Austin, Texas, the WASP demonstrated mixed initial performance. On the first attempt using a remote pull string behind a riot shield, the gun misfired after the striker failed to set off the cartridge primer. After quick troubleshooting, a second attempt successfully fired a .22-caliber round through the top left corner of a cardboard target. Squeezing the trigger by hand in a protective glove yielded a second successful firing, bringing the weapon’s initial test score to two successful shots out of three.

Surrealist Design Meets Real-World Lethality

The WASP’s entire development process—from its name to its safety adjustments—resulted from a conversational prompt exchange between a Defense Distributed employee and GatGPT. The prompter tasked the model with creating a fully functional, unique design based on the "Ergo Harlot," itself a variant of the compact "Harlot" handgun.

The AI checked and tested each component before the team printed the final body on a Bambu Lab printer using standard plastic filaments, combined with standard metal parts for the barrel and firing pin. The entire printing process took approximately six hours.

The resulting physical object features several surreal design quirks typical of early generative AI output:

• An incomplete, open trigger guard that leaves the trigger exposed.
• An inverted "beavertail" grip consisting of three grooved, circular lobes that do not fit comfortably in a human hand.
• Non-functional, vestigial sights.

Firearms historian Ashley Hlebinsky noted that the WASP features an obvious futuristic, sci-fi appearance reminiscent of fictional weapons. Meanwhile, Jonathan Ferguson, keeper of firearms and artillery at the Royal Armories Museum in Leeds, England, observed that while the weapon meets the basic legal definition of a firearm by discharging a live round without exploding, its ergonomics and mechanical reliability remain crude.

Evasion Tactics and Regulatory Battles

The creation of the WASP arrives amid escalating efforts by lawmakers to curb the spread of untraceable "ghost guns"—firearms manufactured without serial numbers.

New York and California recently passed legislation requiring 3D printer manufacturers to integrate software capable of detecting and blocking firearm files before printing. In response, Wilson launched "Hochulization," a tool designed to alter file hash fingerprints to bypass basic detection systems. By late September, Wilson claimed users had applied the tool over 26,000 times.

Because generative AI creates entirely novel visual forms and code structures, AI-generated gun designs like the WASP present a fresh challenge to traditional hash-based detection databases. While advanced predictive AI detection software is under development, experts question how reliably it can spot unconventional, newly generated weapons.

Lowering the Barrier to Weapon Manufacturing

Safety advocates warn that pairing generative AI with 3D printing threatens to dramatically lower technical barriers for illegal gun manufacturing.

Justin Wagner, senior vice president for law and policy at Everytown, expressed deep concern over the development, stating that allowing novice users to design and print functional weapons with simple text prompts poses a direct threat to public safety regardless of background check status or legal eligibility.

Wilson, who maintains that digital gun files represent computer code and protected speech under the law, predicts that GatGPT will rapidly refine its designs as more users interact with the model. Currently in limited early access, GatGPT could significantly accelerate the development cycles of untraceable, homemade firearms.