Law
Inside the marketplace powering bespoke AI deepfakes of real women
New research details how Civitai lets users buy and sell tools to fine-tune deepfakes the company says are banned. Civitai--an online marketplace for buying and selling AI-generated content, backed by the venture capital firm Andreessen Horowitz--is letting users buy custom instruction files for generating celebrity deepfakes. Some of these files were specifically designed to make pornographic images banned by the site, a new analysis has found. The study, from researchers at Stanford and Indiana University, looked at people's requests for content on the site, called "bounties." The researchers found that between mid-2023 and the end of 2024, most bounties asked for animated content--but a significant portion were for deepfakes of real people, and 90% of these deepfake requests targeted women. The debate around deepfakes, as illustrated by the recent backlash to explicit images on the X-owned chatbot Grok, has revolved around what platforms should do to block such content.
After Minneapolis, Tech CEOs Are Struggling to Stay Silent
Silicon Valley's power brokers spent the past year currying favor with President Trump. Two deadly shootings in Minneapolis are now exposing the price of that bargain. It was November 12, 2016, four days after Donald Trump won his first presidential election. Aside from a few outliers (looking at you, Peter Thiel), almost everyone in the tech world was shocked and appalled. At a conference I attended that Thursday, Facebook CEO Mark Zuckerberg said it was " a pretty crazy idea " to think that his company had anything to do with the outcome.
Host arrested for using dating app to lure women to club in Tokyo
Police have arrested a 27-year-old male host on suspicion of violating the amusement business law by using a dating app to solicit female customers to a host club in Tokyo. The arrest marked the first crackdown in the country on cases involving soliciting customers to restaurants and pubs through dating apps, according to the capital's Metropolitan Police Department. The suspect, Takuto Takeoka, remained silent during questioning, people familiar with the investigation said. Takeoka allegedly contacted two women, ages 27 and 28, through a matching app between May and July last year while posing as an information technology industry professional. He then promised them romantic relationships, later disclosed his job and urged them to come to his host club, where male companions entertain women, in the Kabukicho district in Tokyo's Shinjuku Ward.
Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
Fahim, Md Muhtasim Munif, Imran, Md Jahid Hasan, Debnath, Luknath, Shill, Tonmoy, Molla, Md. Naim, Pranto, Ehsanul Bashar, Saad, Md Shafin Sanyan, Karim, Md Rezaul
The achievement of the 2030 Sustainable Development Goals (SDGs) is dependent upon strategic resource distribution. We propose a causal discovery framework using Panel Vector Autoregression, along with both country-specific fixed effects and PCMCI+ conditional independence testing on 168 countries (2000-2025) to develop the first complete causal architecture of SDG dependencies. Utilizing 8 strategically chosen SDGs, we identify a distributed causal network (i.e., no single 'hub' SDG), with 10 statistically significant Granger-causal relationships identified as 11 unique direct effects. Education to Inequality is identified as the most statistically significant direct relationship (r = -0.599; p < 0.05), while effect magnitude significantly varies depending on income levels (e.g., high-income: r = -0.65; lower-middle-income: r = -0.06; non-significant). We also reject the idea that there exists a single 'keystone' SDG. Additionally, we offer a proposed tiered priority framework for the SDGs namely, identifying upstream drivers (Education, Growth), enabling goals (Institutions, Energy), and downstream outcomes (Poverty, Health). Therefore, we conclude that effective SDG acceleration can be accomplished through coordinated multi-dimensional intervention(s), and that single-goal sequential strategies are insufficient.
Amazon discovered a 'high volume' of CSAM in its AI training data but isn't saying where it came from
Amazon discovered a'high volume' of CSAM in its AI training data but isn't saying where it came from The company's reports were inactionable, according to a child safety organization. The National Center for Missing and Exploited Children said it received more than 1 million reports of AI-related child sexual abuse material (CSAM) in 2025. The vast majority of that content was reported by Amazon, which found the material in its training data, according to an investigation by . In addition, Amazon said only that it obtained the inappropriate content from external sources used to train its AI services and claimed it could not provide any further details about where the CSAM came from. This is really an outlier, Fallon McNulty, executive director of NCMEC's CyberTipline, told . The CyberTipline is where many types of US-based companies are legally required to report suspected CSAM.
Music publishers sue Anthropic for 3 billion over 'flagrant piracy'
Music publishers sue Anthropic for $3 billion over'flagrant piracy' The suit accuses the company of illegally downloading 20,000 songs to train Claude. A group of music publishers led by Concord Music Group and Universal Music Group Anthropic, . These songs were then allegedly fed into the chatbot Claude for training purposes. There are some iconic tunes named by Universal in the suit, including tracks by The Rolling Stones, Neil Diamond and Elton John, among many others. Concord is an independent publisher that handles artists like Common, Killer Mike and Korn.