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Amid ongoing economic anxieties, BLK and other companies are giving away basic essentials to appeal to the public. While Gen Z catches a lot of flack for being single, or even antisocial, there's a brutal economic reality underscoring why some people aren't going out: They simply don't have the disposable income . Dating apps, already struggling to maintain user bases due to enshittification and a lack of quality matches, are contending with this affordability crisis. In a dystopian sign of the times, BLK, the app for Black singles, announced on Wednesday that it is giving away free gas in an attempt to incentivize people to go on dates. As part of the promotion, BLK is providing $500 gas gift cards to 10 people who download the app and tag three friends in the campaign post across its social channels.

Anthropic is doubling Claude's usage limits during off-peak hours for the next two weeks The promotion runs from March 13 to March 27. To capitalize on Claude's recent spike in popularity, Anthropic is offering a limited-time promotion that doubles usage limits for anyone using its AI chatbot during off-peak hours. From March 13 to March 27, users on Free, Pro, Max, and Team plans will get double the usage limits in a five-hour window when using Claude outside weekday hours between 8 AM and 2 PM ET. According to Anthropic, the promotion is automatic, and users don't have to enable anything to get the benefits. A small thank you to everyone using Claude: We're doubling usage outside our peak hours for the next two weeks.

This study explores the relationship between LinkedIn profile characteristics and professional success, focusing on the indicators of promotions, follower count, and career progression rate. By leveraging a dataset of over 62,000 anonymized LinkedIn profiles, we developed predictive models using machine learning techniques to identify the most influential factors driving professional success. Results indicate that while promotions are highly predictable, follower growth exhibits greater complexity. This research provides actionable insights for professionals seeking to optimize their LinkedIn presence and career strategies.

The simultaneous application of multiple treatments is increasingly common in many fields, such as healthcare and marketing. In such scenarios, it is important to estimate the single treatment effects and the interaction treatment effects that arise from treatment combinations. Previous studies have proposed using independent outcome networks with subnetworks for interactions, or combining task embedding networks that capture treatment similarity with variational autoencoders. However, these methods suffer from the lack of parameter sharing among related treatments, or the estimation of unnecessary latent variables reduces the accuracy of causal effect estimation. To address these issues, we propose a novel deep learning framework that incorporates a task embedding network and a representation learning network with the balancing penalty. The task embedding network enables parameter sharing across related treatment patterns because it encodes elements common to single effects and contributions specific to interaction effects. The representation learning network with the balancing penalty learns representations nonparametrically from observed covariates while reducing distances in representation distributions across different treatment patterns. This process mitigates selection bias and avoids model misspecification. Simulation studies demonstrate that the proposed method outperforms existing baselines, and application to real-world marketing datasets confirms the practical implications and utility of our framework.

Dave's Hot Chicken is the top app in the iOS App Store, ending Sora's weeks-long reign. On Friday, its reign came to an end. Your new champion is Dave's Hot Chicken. Dave's Hot Chicken now rules over the App Store, where its slack-beaked, bug-eyed mascot icon expresses appropriate surprise at its ascent. How did it break the grasp of OpenAI's golem TikTok?