Arizona appeals court vacates manslaughter sentence after AI video

Arizona appeals court vacates manslaughter sentence after AI video

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Anna Kowalski
Anna Kowalski

An Arizona appeals court vacated the 10.5-year sentence of Gabriel Horcasitas while upholding his manslaughter conviction, first reported by Nytimes. The case returns to Maricopa County Superior Court for resentencing without the video, after judges found that it presented scripted statements as if the victim himself were speaking in court.

The three-judge panel said the video generated a likeness of Christopher Pelkey’s voice and appearance but did not reflect actual events. It found that allowing and relying on the video made the sentencing fundamentally unfair, and noted that no prior Arizona case had addressed the admissibility of such a depiction at sentencing.

The judges said a victim’s right to speak cannot override a defendant’s right to be sentenced on accurate, reliable information. They said the video collapsed the distinction between the family’s belief about what Pelkey would have said and Pelkey’s own voice and opinions.

The ruling distinguishes family members speaking about Pelkey from a generated likeness that appeared to speak for him.

Pelkey’s sister, Stacey Wales, presented the video during Horcasitas’s sentencing alongside victim-impact statements from family and friends. Wales wrote the script and said her husband and the couple’s longtime business partner helped create the video using Pelkey’s voice from a YouTube video and his face and torso from a funeral-service poster.

Judge Todd F. Lang praised the video as genuine, then imposed the maximum sentence of 10.5 years, more than the nine years prosecutors had sought.

Wales said nobody intended to make the court believe Pelkey was alive or that he had recorded the video before his death. She said she disagreed with the ruling and argued that families use slide shows, collages, hypothetical conversations and poetry to convey grief.

Wales compared the AI video with photography, saying it took 15 years of landmark cases around the 1860s before photography was widely accepted in courts.

The case returns to Maricopa County Superior Court for a new sentencing hearing without the AI-generated video.

OpenAI releases 722 math manuscripts spanning 372 result families

OpenAI revealed solutions to long-standing math problems from an unreleased frontier model in 722 manuscripts across 372 result families, first reported by The Verge. The release arrives amid debate over research ethics, academic conduct and how companies credit human mathematicians whose work their systems build upon and potentially use to produce results.

The 372 result families group related papers. The release also includes some summaries of the model’s reasoning, estimates of compute used and statistics on the number of problems attempted. OpenAI says the average result used the equivalent of three hours of ChatGPT Pro thinking.

In September, OpenAI said its model had resolved more than 100 long-standing open problems across most areas of mathematics. AGMAI says the new release includes solutions to hundreds of open questions.

AGMAI, the Advisory Group on Mathematics and Artificial Intelligence, is a newly formed independent advisory group of elite mathematicians assembled to communicate the results responsibly. It published its first recommendations in late September, urging AI labs to release mathematical results promptly through established academic channels where possible and disclose the model name, prompts and compute costs.

AGMAI also urged AI companies not to treat mathematical-result releases as marketing vehicles for their models, saying that practice inflicts significant harm on the mathematical community.

OpenAI said it is publishing the results in a GitHub repository with protocols for paper revisions and citations. It is continuing to explore other community-hosted alternatives for this release that meet the committee’s guidelines. OpenAI said it is committed, for future releases, to further improving the quality of the papers through citations, mathematical exposition and presentation of the results.

The manuscript counts give the release’s scale, while AGMAI’s recommendations address how results are shared.

The full impact is likely to take time as mathematicians assess and digest the results. They add to a rapidly growing body of mathematical results from OpenAI and rival labs such as Anthropic that the field is still processing, including results concerning a Millennium Prize problem, among the field’s most famous open questions.