Month: February 2023

Enlarge / Jose Hernandez and Beatriz Gonzalez, stepfather and mother of Nohemi Gonzalez, who died in a terrorist attack in Paris in 2015, arrive to speak to the press outside of the US Supreme Court following oral arguments in Gonzalez v. Google on February 21 in Washington, DC. (credit: Drew Angerer / Staff | Getty Images News)

Today, the Supreme Court heard oral arguments to decide whether Section 230 immunity shields online platforms from liabilities when relying on algorithms to make targeted recommendations. Many Section 230 defenders feared that the court might be eager to chip away at the statute’s protections, terrified that in the worst-case scenario, the Supreme Court could doom the Internet as we know it. However, it became clear that justices had grown increasingly concerned about the potential large-scale economic impact of making any decision that could lead to a crash of the digital economy or an avalanche of lawsuits over targeted recommendations.

The case before the court, Gonzalez v. Google, asks specifically whether Google should be held liable for allegedly violating federal law that prohibits aiding and abetting a terrorist organization by making targeted recommendations that promoted ISIS videos to YouTube users. If the court decides that Section 230 immunity does not apply, that single decision could impact how all online platforms recommend and organize content, Google and many others have argued.

“Congress was clear that Section 230 protects the ability of online services to organize content,” Halimah DeLaine Prado, Google's general counsel, told Ars in a statement. “Eroding these protections would fundamentally change how the Internet works, making it less open, less safe, and less helpful.”

Enlarge / A medical director in Germany sits in front of a monitor showing the real-time data of a patient with a heart attack. (credit: Getty | Arne Dedert)

A bout of COVID-19 is known to increase a person's long-term risks of having a major cardiovascular event, such as a heart attack or stroke. But being fully vaccinated or even partially vaccinated appears to bring that risk down, according to a study published this week in the Journal of the American College of Cardiology.

The study, led by researchers at Icahn School of Medicine at Mount Sinai in New York, drew on medical records from over 1.9 million patients who were infected with COVID-19 between March 2020 and February 2022. Of those 1.9 million patients, a "major adverse cardiac event," namely a heart attack, stroke, or another cardiac event, was identified in 13,948 patients, and 3,175 died following the event.

Overall, the researchers found that being vaccinated—fully or partially—was linked to fewer cardiac events in the six months following a case of COVID-19. After adjusting for demographics, comorbidities, and time since the pandemic began, the researchers found that being fully vaccinated reduced the risk of having a major cardiac event by about 41 percent, while being partially vaccinated reduced the risk by about 24 percent.

Enlarge / An AI-generated image of a robot eagerly writing a submission to Clarkesworld. (credit: Ars Technica)

One side effect of unlimited content-creation machines—generative AI—is unlimited content. On Monday, the editor of the renowned sci-fi publication Clarkesworld Magazine announced that he had temporarily closed story submissions due to a massive increase in machine-generated stories sent to the publication.

In a graph shared on Twitter, Clarkesworld editor Neil Clarke tallied the number of banned writers submitting plagiarized or machine-generated stories. The numbers totaled 500 in February, up from just over 100 in January and a low baseline of around 25 in October 2022. The rise in banned submissions roughly coincides with the release of ChatGPT on November 30, 2022.

A graph provided by Neil Clarke of Clarkesworld Magazine: "This is the number of people we've had to ban by month. Prior to late 2022, that was mostly plagiarism. Now it's machine-generated submissions." (credit: Neil Clarke)

Large language models (LLM) such as ChatGPT have been trained on millions of books and websites and can author original stories quickly. They don't work autonomously, however, and a human must guide their output with a prompt that the AI model then attempts to automatically complete.