Tax
Elon Musk reportedly owes quite a few of his employees 420
Elon Musk owes a bunch of xAI employees $420, according to a report by . The CEO reportedly promised employees earlier this year he would pony up that amount of money if they offered up their personal tax returns as training data for Grok. Surprisingly, payments have yet to materialize. This was an attempt to improve Grok's capabilities ahead of the April 15 US tax deadline. Many people use AI chatbots to help with tax returns, despite the risks, but most opt for Claude or ChatGPT over Grok.
HMRC to use AI from British tech firm to spot fraud and tax return errors
HM Revenue and Customs has announced a 10-year, £175m deal with the British tech firm Quantexa to provide AI-powered technology to help improve its performance. Quantexa says its systems will combine data collected by HMRC with external sources to help the tax office identify incidents of fraud and fix unintentional errors more quickly. Its tasks will include helping HMRC to assist customer service staff, as well as to identify hidden networks of companies and individuals masking fraudulent activity. Public dissatisfaction with HMRC performance has crept up in recent years, according to government figures. A Freedom of Information request made by the campaigners at the Contentious Tax Group found there were more than 93,000 complaints made about the department in 2024-2025 .
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.
Elon Musk's stubborn spin on Grok's sexualized images controversy
Elon Musk has been promoting Grok's popularity as if it were a piece of productivity software. Elon Musk has been promoting Grok's popularity as if it were a piece of productivity software. Today, we discuss Elon Musk's rosy depiction of Grok's image generation controversy; the seven-figure panic among Silicon Valley billionaires over a proposed wealth tax in California, though with one notable exception; and how AI and robotics have revitalized the Consumer Electronics Showcase. The firestorm over the Grok AI tool has been raging for more than a week now, and it shows no signs of dying down. Last week, I wrote about the rising backlash against Elon Musk's Grok AI tool, which in recent weeks has allowed users to generate thousands of sexualized images of women.