User:Louis/California AB 2047 and the Physna conflict of interest

California Assembly Bill 2047, the California Firearm Printing Prevention Act, would require every 3D printer sold in the state to run a state-mandated detection algorithm that reads each print file and blocks anything it decides would produce a firearm or an illegal firearm part. The bill passed the Assembly on May 26, 2026 by a vote of 58 to 19 and moved to the Senate the next day. One company has gone on the public record telling lawmakers this kind of detection is ready to deploy: Physna, Inc., the Columbus, Ohio firm that built what it calls the world's first true 3D geometric search engine. It is also the company that holds the patents on the matching method a mandate like this would force every printer maker to buy, and its best evidence that the matching works is a set of United States Air Force contracts, where the work runs on enterprise and cloud hardware, not on the controller board inside a desktop printer. I oppose this bill, on the same technical, moral, and philosophical grounds I oppose the New York 3D printer blocking technology mandate.

What AB 2047 would require

AB 2047, as amended in the Senate on June 15, 2026, adds Title 21.1 to the Civil Code and a new section to the Penal Code. It defines a firearm blueprint detection algorithm as a software service that evaluates a printing file, in the form of an STL mesh, a CAD file, or geometric code, and flags any file it decides would produce a firearm or illegal firearm part. The California Department of Justice would publish written guidance on performance standards for those detection algorithms on or before September 1, 2028. The statute even names the technique it is reaching for: it directs the Department to review emerging detection methods including, but not limited to ... volumetric search functionality.

• AB 2047, the detection algorithm it defines and the technique it names
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  AB 2047 defines a firearm blueprint detection algorithm as a software service that evaluates a printing file, whether an STL mesh, a CAD file, or geometric code. California Legislative Information, AB 2047.
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  AB 2047 directs the state to periodically review emerging detection techniques, naming volumetric search functionality among them. California Legislative Information, AB 2047.

The compliance regime lands on the manufacturers. By March 1, 2029 any business that makes printers for sale in California has to file a sworn attestation for each model, and a false attestation is punishable as perjury. By June 1, 2029 the Department publishes a list of attested models, updated quarterly. Starting December 1, 2029 it is unlawful to sell a printer that is not equipped and not on the list, with a civil penalty of up to twenty-five thousand dollars per violation. The bill also adds Penal Code section 29187, which makes it a misdemeanor to knowingly disable or circumvent the blocking technology with intent to manufacture firearms, and to sell modified versions of a listed printer with the intent to facilitate the unlawful manufacture of firearms. The Electronic Frontier Foundation argues that clause reaches ordinary owners, because it would criminalize the use of open-source alternatives like the Marlin and Klipper firmware that most consumer printers run.

Physna's on-record feasibility claim

At an online seminar on this legislation, a Physna technical account manager named Julian Chultarsky told the audience the technology is ready. His exact words, as reported by the Associated Press, were Geometric search is mature, it's deployed, it is ready to be applied to this problem. Solomon Diamond, an associate engineering professor at Dartmouth who was on the same panel, described the idea as a bit like a phone app that identifies a tree or a flower from a photo.

Physna technical account manager Julian Chultarsky told the Associated Press that geometric search is mature, deployed, and ready to be applied to this problem. Associated Press, via PBS NewsHour.

In its 2023 Air Force contract abstract, Physna calls its platform the world's first true 3D geometric search engine and deep learning platform, built to search by geometry and label and retrieve 3D models by shape. Geometric search of 3D files is exactly the category AB 2047 would have the state set the standard for and then mandate.

In its 2023 Air Force award abstract, Physna describes its platform as the world's first true 3D geometric search engine and deep learning platform. SBIR.gov.

Patents Physna holds on the matching method

Physna holds the foundational patents on the method. United States Patent 11,422,531, System and methods for 3D model evaluation, was granted on August 23, 2022, and United States Patent 12,147,736, System and methods for 3D model evaluation using triangle mesh hashing, was granted on November 19, 2024. Both are assigned to Physna Inc., and both name Paul Powers, Physna's founder, and Glenn Warner as the inventors. The 2024 patent describes hashing a model's triangle mesh into a fingerprint and comparing it against reference models, including detecting added or removed sub-parts.

United States Patent 12,147,736 is assigned to Physna Inc. and names Glenn Warner and Paul Powers as inventors. US Patent 12,147,736, via Google Patents.

A bill that forces every printer maker to ship a geometric detection algorithm builds a captive market for exactly this patented method. The incentive is documented and structural: the state would require a category of technology, and one company holds the patents and the on-record sales pitch for that category. That is a conflict of interest whether or not a single email ever passed between Physna and the bill's author.

Why the Air Force proof does not run on a desktop printer

Physna's strongest evidence that its matching works is its federal record, and that record is a defense and enterprise record. The Air Force awarded Physna a Small Business Innovation Research Phase II contract, FA8649-23-P-0450, Geometric Deep Learning Technology for Supply Chain, for $1,040,000 in 2023. It followed with FA7014-25-C-0023, Physna SBIR III Technology of Supply, for $1,500,000, and a $1,900,000 award for multimodal image search supporting Air Force Digital Material Management. A separate Air Force order, FA7014-24-P-0043, paid Physna to identify alternate sources of supply through comparison of digital files. The company also carries a General Services Administration schedule contract, 47QTCA24D00BN, for federal information-technology buyers. This is geometric matching run on cloud and enterprise hardware, against catalogs of aerospace parts.

A consumer printer is not that. The board that drives a $200 printer's motors does not have the memory or the processor to reconstruct a model from a stream of G-code and hash it against a live national database of firearm files before every job. So the mandate forces one of two outcomes. Either the print file gets uploaded to a server for the check, which turns every printer in the state into a reporting device and puts home fabrication under surveillance, a harm the EFF says the bill would create. Or the printer carries enough added hardware to do the work locally, which raises the price of the cheapest machines, the ones in schools, libraries, and makerspaces. AB 2047 exempts printers sold to licensed firearms makers, to law enforcement, and to aerospace, automotive, biomedical, and propmaking buyers, but it writes no exemption for the consumer machine on a classroom bench. Tom's Hardware noted the same gap: detection capable enough to catch a gun part may exceed the compute available on consumer printers, pushing checks to remote servers.

Shared geometry and the industry's own verdict

The detection cannot be made reliable, because a firearm part is a geometric signature shared with ordinary objects. A suppressor baffle is the same stack of cones as a Tesla fluid valve; a pistol conversion device is the same dovetailed block as a camera flash shoe; an AR-15 lower is the same hollowed box as an electronics enclosure; a suppressor tube is the same threaded cylinder as a flashlight body. I documented these geometric twins, file format by file format, in a companion essay, and the chokepoint problem behind them in another. Set the filter wide enough to catch the gun part and it flags pipes and brackets; set it narrow and a sub-visible edit or a split file walks straight through.

Adafruit's Phillip Torrone laid out the same problem in Techdirt:

A firearms blueprint detection algorithm would need to identify every possible firearm component from raw STL/GCODE files, while not flagging pipes, tubes, blocks, brackets, gears, or any of the millions of legitimate shapes that happen to share geometric properties with gun parts. This is a classification problem with enormous false positive and false negative rates.

The EFF called the requirement censorware that is doomed to fail for its intended purpose.

The Electronic Frontier Foundation describes AB 2047 as a censorware mandate that would criminalize the use of open-source alternatives. Electronic Frontier Foundation.

AB 2047 concedes the point in its own text: it tells the Department to set acceptable false-positive and false-negative rates rather than require a perfect one, and it asks stakeholders to identify benign files an algorithm wrongly flags. Bill Decker, executive chairman of the Association of 3D Printing, whose organization supports the New York and California laws, says of the technology: It's not going to work. It's more of a political statement than anything else.

No lobbying paper trail to Physna

I went looking for a paper trail tying Physna or Paul Powers to this bill, and there is not one. There is no public record that Physna lobbied for AB 2047, drafted it, paid for it, or was named as its vendor, and none for the New York mandate either. The documented legislative push comes from Everytown for Gun Safety and from the bill's author, Assembly Member Rebecca Bauer-Kahan.

None of this requires anyone to have done anything corrupt. A documented conflict of interest and a detection method that has never been shown to run on a consumer printer sit in the same bill, and either one alone is reason enough to vote it down.

See also

• New York 3D printer blocking technology mandate
• 3D Printing restrictions and bans
• User:Louis/3D printer firearm-blocking mandates and geometric false positives
• User:Louis/3D-printed firearms and the technical basis for printer mandates
• User:Louis/Everytown for Gun Safety and the 3D printer blocking mandates
• User:Louis/Bloomberg and the control of 3D printing
• Right to Repair
• Digital rights management