In January 2011, two weeks after Jared Loughner shot nineteen people in Tucson, undercover investigators walked into the Crossroads of the West Gun Show in Phoenix and bought the same model of pistol Loughner used. No background check. No questions.

One investigator told the seller, “I probably couldn’t pass a background check,” and the seller sold him two 9mm pistols anyway. The seller asked to see ID for one reason only: to make sure the buyer wasn’t from California. Why? Because he personally felt there was legal risk if he sold to someone from California.
I wrote about that show at the time. It wasn’t a post about a bad law. The problem was a seller never had to know the very thing that should have prevented the sale. Private-sale rules let a man run what was effectively a dealership out of his truck without a license, without a check, without a record. The screening that would have stopped the sale existed and functioned, because the seller screened for the one thing that threatened him and him only, an out-of-state buyer. He declined to screen for the thing that threatened everyone else. It was absolutist selfish disregard for public safety. There was no internal enforcement at the show, either. It reserved the right to eject a seller who posed a danger, yet it never did, because the danger was probably only measured in terms of the show’s immediate interests. Proving the actual public safety gap required outsiders to walk in and very clearly buy a murder weapon on camera.
Fifteen years later I am monitoring the exact same pattern with autonomous weapons. And you’ll never guess who the seller is. Rhymes with NVIDIA.
NVIDIA’s chips should not be in Russia. And yet they are in Russian drones chasing civilians and killing them like an American mass shooter. These robots are doing what NVIDIA’s software is in fact built to do: detect and lock on human beings. The Russian use of them is not an accident, like some warehouse was overrun. It is that known gun-show loophole running all the way into the future: a lethal capability moved through a channel that preserves the seller’s deniability, where the screening that would stop harm is trivial, sometimes already built, and withheld because no law forces it and the market rewards its absence.
I’m a fan of pattern matching, so allow me to try and document this in five ways.
ONE: NVIDIA gives out human-tracking knowledge and tools and never asks why
The clearest single fact in this piece is one forum thread. In May 2024 a builder wrote that he was developing a UAV prototype for the surveillance and security of a restricted area, and needed the AI component for intrusion detection: a drone to watch a place and flag the people in it. He asked which model to use. An NVIDIA employee posting as jaybdub answered him directly, writing that PeopleNet is a model specialized in detecting people, and if you need to detect people only, it is likely the better choice. A second NVIDIA employee, AastaLLL, added that it can be trained with NVIDIA’s TAO toolkit. NVIDIA’s own staff recommended NVIDIA’s people-detection product, by name, for a surveillance drone. We can presume it was not for illegal purposes. Although, it stands out that no one on the thread asked what the restricted area was, who would be watched, or where the drone would fly. I’m not saying they would get honest answers, but the checking serves a purpose. It is NVIDIA, in NVIDIA’s own forum, naming the tool for the job. Currently it reads like the seller handing over the pistol even if the buyer says he’d fail the check.
More to the point, this exchange is not an outlier. It is the rule. We monitored drone threads on NVIDIA’s forum. NVIDIA employees replied in five of the seven threads indicating human tracking, and in not one did any responder gather anything about what the drone was for, who it would track, or where it would fly. Knowing those things helps improve support answers, but it also raises the bar on criminal activity. The posters’ own words have been sorted below by what NVIDIA is doing with them:
| Thread | What the poster asked to build | Which NVIDIA employee answered, and what they said |
|---|---|---|
| NVIDIA staff recommended their own people-detection and tracking tools, unprompted | ||
| 293603 | A UAV for surveillance and security of a restricted area, doing intrusion detection | jaybdub (NVIDIA employee): PeopleNet is specialized in detecting people, the better choice. AastaLLL (NVIDIA employee): train it with the TAO toolkit. |
| 218336 | Human body detection for a drone application, to detect one person in a crowd | AastaLLL (NVIDIA employee): use DeepStream’s object trackers so the tracker finds the same person across frames. |
| NVIDIA staff built the video pipeline for a stated detect-people UAV | ||
| 165564 | A search-and-rescue AI UAV that can detect people | DaneLLL (NVIDIA employee): RTSP-streaming setup and IMX219 camera-driver fixes to get the feed running. |
| NVIDIA staff answered or forwarded without a single question about use | ||
| 109535 | To delay the function of following a human from a drone | kayccc (NVIDIA employee, forum moderator): a link to another drone project thread. |
| 342162 | Hardware sponsorship for a student autonomous drone doing human detection for disaster response | kayccc (NVIDIA employee, forum moderator): forwarded the request internally, pointed to NVIDIA’s grant program. |
The NVIDIA staff clearly are not trained to detect violations of law. The pattern holds across the whole set: of the 380 drone threads we flagged, 276 drew a reply from an NVIDIA employee, and not one asked anything even remotely (pun not intended) about purpose. We’re monitoring employees only in the dataset, which excludes NVIDIA’s own forum-team accounts and its automated moderation bot, so the real engagement runs higher and the high zero-screening rate is likely conservative.
We have no indication builders are anything but civilian. They don’t pop up and say hello, my boss says I need to kill someone with this chip by Tuesday. No, these are entered as a surveillance UAV, a person-in-a-crowd detector, a search-and-rescue project, a student disaster drone. That is the whole point, just like the gun shows. NVIDIA does not screen, so NVIDIA cannot tell the rescuer from the killer, and there’s no evidence it would ever try. There’s no dissuasion or emphasis against inhumane applications. The help flows to whoever asks without limit. The forum does not prove NVIDIA has directly enabled or taught anyone to kill. Instead it proves NVIDIA built a pipeline to spread human-targeting know-how to anyone who walks up, with zero restrictions.
TWO: NVIDIA sells a human-targeting software product, by name
The chip being found in Russian drones killing civilians is only the engine. NVIDIA also trains and gives away the software models that find people, ready to run.
PeopleNet detects persons, bags, and faces, and NVIDIA’s own card marks it ready for commercial use. DashCamNet detects people and vehicles from a first-person viewpoint. FaceDetect detects faces from an image. These are NVIDIA’s names for NVIDIA’s models, pulled from NVIDIA’s repository with one command. In NVIDIA’s own developer documentation, PeopleNet is described as a model with up to ninety percent accuracy for detecting people, and runs with a single flag. NVIDIA’s software also assigns each detected person a persistent tracking number and holds it across frames as the person moves. That is the building block for following a specific individual through a scene, shipped as a documented feature.
This is not a general-purpose tool that people happen to point at humans. NVIDIA named these models for what they detect. A company does not call a product FaceDetect, ship it ready to run, optimize it for a flying edge module, and then claim surprise that it is used to find faces from the air in a city under assault by Russia.
NVIDIA’s own model is detailed about its limitations. It states that PeopleNet’s training data is mostly North American content and instructs developers to consider potential algorithmic bias when deploying. NVIDIA documents that its people-detector’s accuracy varies by who is in front of it, meaning the inversion is true as well. Its accuracy is described in terms of the parameters on humans it can hunt.
THREE: NVIDIA knows how to build a chip that refuses to fight. That chip is built for money.
When the United States ordered NVIDIA to keep its top chips out of China, NVIDIA re-engineered its silicon to obey, designing the H20 to sit under the legal capability line. When Washington restricted even that chip, NVIDIA swallowed a 5.5 billion dollar charge rather than ship it uncontrolled. This is a company that redesigns hardware and eats huge amounts of loss just to honor a restriction, when the restriction protects it (a market it wants).
This is the gun-show seller checking for a California ID, because all they care about is themselves, and it’s the most annoying part of the NVIDIA story.
No government has ordered NVIDIA to keep its chips out of drones that can detect and track people. So NVIDIA has what incentive to be innovative? The Jetson ships with absolutely no condition on use. It runs the people-detection models in a war zone exactly as it runs them in a fourth-of-July picnic. The company that will re-fabricate an entire product line to respect an export rule has never applied one line of that skill to the edge modules that end up in killer robots, because “where’s the profit in that”?
A drone module capable of reading military markings is capable of knowing it is at war. There are a zillion similar examples. It’s a trivial problem for NVIDIA, yet they declined to enable the knowledge to prevent even the most heinous war crimes. Capability gets ignored because lack of regulation is a lack of willingness. NVIDIA restricts for revenue and not for lives. The space between those two is the whole indictment of this post.
FOUR: the chips keep reaching the weapons, and NVIDIA’s own remedy sits unused
I wish I could have stopped at three. NVIDIA’s public answer is that its modules are consumer products for students and startups, not sold to Russia, and that it will cut off any distributor caught breaking export controls.
Big talk.
The chips arrive anyway, and have for years. Sanctions researchers at the Institute for Science and International Security documented NVIDIA Jetson modules among restricted electronics flowing from Chinese firms to sanctioned Russian buyers. The UK weapons-tracing group Conflict Armament Research has opened up recovered Russian drones and traced their foreign components part by part. And Ukraine’s Defence Intelligence, examining a new Shahed variant it designated the MS series in June 2025, and continues to find the NVIDIA Jetson computer in teardowns, running video processing and autonomously finding targets. The flow does not slow.
NVIDIA said it would cut off any violating distributors. But does it have proof of this? Years of teardowns and trade data show the opposite in the field, distributors were not cut off. The gun show says they would eject a seller while never doing it. The remedy isn’t a remedy if it’s not ever in play. The promise NVIDIA never keeps looks like a shield instead of a safeguard.
FIVE: the industry has stopped pretending it will restrain itself
I’ll close it out with the fact that NVIDIA’s silence is not one company’s quirk. It is becoming the stated posture of the industry that sells this technology.
Skydio is one of the largest suppliers of police drones in the United States, and its drones run NVIDIA’s edge hardware. Asked about the belief that his company would stop the military from putting weapons on its drones, CEO Adam Bry said he now considers that belief something he got wrong, that Skydio had led people to think it would prevent weaponization, and that writing a policy to ban uses that seem evil is “dangerously misguided”. The Electronic Frontier Foundation (EFF) calls that out as Skydio will not restrict how its customers use its devices.
How weapons manufacturers and dealers operate matters in ways that America doesn’t seem prepared to address. The same autonomy stack is sold to American police for drone-as-first-responder fleets, and this fall a company will pilot drones in Georgia and Florida schools designed to swarm, crash into, and fire irritants at suspected shooters. The capability that hunts civilians in Kherson is what’s showing up on American streets and schools, from vendors now saying out loud that they will not hold it back. EFF’s conclusion is that the goodwill of companies that profit from selling this technology doesn’t work as what protects people from it. Lawmakers have to act, to regulate for the public interest above profits, and have not.
Is this legal?
I’m not a lawyer, so I can’t say. But, put it together. NVIDIA hands human-targeting help to anyone without asking. NVIDIA sells the human-detection models as named products. NVIDIA proves it can make a chip refuse, and refuses only where refusal costs money. NVIDIA’s chips keep reaching the weapons while its stated remedy appears to be unused. And other companies have announced they will not restrain the technology from becoming autonomous weapons, even around children and at school.
Apparently none of it will mean anyone can be charged with anything, and the reason is sobering. Aiding a war crime, in law, needs knowledge and usually proof of intent. NVIDIA’s defense is emerging as the American gun seller’s defense word for word: the models are dual-use, the chip counts shoppers and spots pedestrians, nothing was sold to Russia, someone else broke the terms. Intent would be impossible to prove. The court that prosecutes war crimes tries individuals and not companies. The American law that once let foreign victims sue American corporations has been narrowed by the Supreme Court to throw out cases shaped exactly like one that would land on NVIDIA.
The ignorance is a feature of a sales pipeline that doesn’t care about humanity, the same way the gun show was built so the seller only ever protected the seller and never someone who could be harmed by the seller. The company maintains the ability to say it did not know, and that is all the denial needed to keep clean. It built the targeting models, named them for their targets, watched its hardware surface in one autonomous weapon after another, held the single safeguard that was its alone to install, and installed nothing. Every step remains legal somehow. That is the scandal, and why it’s growing.
Fifteen years ago it took undercover investigators to prove a Phoenix gun dealer would sell the Tucson weapon to a man who said he’d fail the check. The drone removes the salesman, and in many cases even removes the operator. Nobody has to walk in undercover this time. NVIDIA already answered, in writing, in its own forum, and nobody blinked.

