Evie is a longtime favorite of far-right. At its very first live event, the strength of the publication's politics was in the pretense that it doesn't have any. Just after 8:00 pm on Sunday night, Evie Magazine's first live event was finally getting started. The women's magazine, which was founded in 2019 and once described itself as a " conservative Cosmo," welcomed eager fans to celebrate the publication, generally, and its new issue, specifically, during New York Fashion Week at the Standard Hotel's Boom in Chelsea. Guests lined up outside, hugging fur coats around formal dresses, as hosts scanned a list for their names. One blonde woman begged for access to the VIP section; an event planner ran downstairs to tell her coworkers that someone's hair had caught on fire.

No Phone, No Social Safety Net: Welcome to the'Offline Club' Across Europe's largest cities, people are gathering for semi-silent, offline hangouts, in search of an experience that isn't mediated through their smartphones. On cue, the room fell silent. A man seated to my left at a long wooden table began to scratch at a piece of paper with a coloring pencil. To my right, another guy picked up a book. Across the way, someone buried themselves in a puzzle.

They're starting to dominate entire sectors of AI and robotics. I decided to go to CES kind of at the last minute. Over the holiday break, contacts from China kept messaging me about their travel plans. After the umpteenth "See you in Vegas?" As a China tech writer based in the US, I have one week a year when my entire beat seems to come to me--no 20-hour flights required. CES, the Consumer Electronics Show, is the world's biggest tech show, where companies launch new gadgets and announce new developments, and it happens every January.

At New Zealand's Kawaiican cybersecurity convention, organizers hacked together a way for attendees to track CO levels throughout the venue--even before they arrived. Hacker conferences--like all conventions--are notorious for giving attendees a parting gift of mystery illness. To combat "con crud," New Zealand's premier hacker conference, Kawaiicon, quietly launched a real-time, room-by-room carbon dioxide monitoring system for attendees. To get the system up and running, event organizers installed DIY CO monitors throughout the Michael Fowler Centre venue before conference doors opened on November 6. Attendees were able to check a public online dashboard for clean air readings for session rooms, kids' areas, the front desk, and more, all before even showing up. It's ALMOST like we are all nerds in a risk-based industry, the organizers wrote on the convention's website.

Generative AI assistants offer significant potential to enhance productivity, streamline information access, and improve user experience in enterprise contexts. In this work, we present Summit Concierge, a domain-specific AI assistant developed for Adobe Summit. The assistant handles a wide range of event-related queries and operates under real-world constraints such as data sparsity, quality assurance, and rapid deployment. To address these challenges, we adopt a human-in-the-loop development workflow that combines prompt engineering, retrieval grounding, and lightweight human validation. We describe the system architecture, development process, and real-world deployment outcomes. Our experience shows that agile, feedback-driven development enables scalable and reliable AI assistants, even in cold-start scenarios.

Large Language Models (LLMs) have shown strong reasoning capabilities, with models like OpenAI's O-series and DeepSeek R1 excelling at tasks such as mathematics, coding, logic, and puzzles through Reinforcement Learning with Verifiable Rewards (RLVR). However, their ability to solve more complex optimization problems - particularly NP-hard tasks - remains underexplored. To bridge this gap, we propose NP-ENGINE, the first comprehensive framework for training and evaluating LLMs on NP-hard problems. NP-ENGINE covers 10 tasks across five domains, each equipped with (i) a controllable instance generator, (ii) a rule-based verifier, and (iii) a heuristic solver that provides approximate optimal solutions as ground truth. This generator-verifier-heuristic pipeline enables scalable and verifiable RLVR training under hierarchical difficulties. We also introduce NP-BENCH, a benchmark derived from NP-ENGINE-DATA, specifically designed to evaluate LLMs' ability to tackle NP-hard level reasoning problems, focusing not only on feasibility but also on solution quality. Additionally, we present QWEN2.5-7B-NP, a model trained via zero-RLVR with curriculum learning on Qwen2.5-7B-Instruct, which significantly outperforms GPT-4o on NP-BENCH and achieves SOTA performance with the same model size. Beyond in-domain tasks, we demonstrate that RLVR training on NP-ENGINE-DATA enables strong out-of-domain (OOD) generalization to reasoning tasks (logic, puzzles, math, and knowledge), as well as non-reasoning tasks such as instruction following. We also observe a scaling trend: increasing task diversity improves OOD generalization. These findings suggest that task-rich RLVR training is a promising direction for advancing LLM's reasoning ability, revealing new insights into the scaling laws of RLVR.

On July 21 at 9 am PT, Anthropic retired Claude 3 Sonnet, a lightweight model known for being quick and cost-effective. On Saturday, in a large warehouse in San Francisco's SOMA district, more than 200 people gathered to mourn its passing. The star-studded funeral was put on by a group of Claude fanatics and Gen Z founders, one of whom told me he dropped out of college after learning about artificial general intelligence. Attendees included Amanda Askell, an Anthropic researcher who has jokingly called herself the "Fairy Claudemother," staffers from Anthropic and OpenAI, and high-profile X posters including the writer Noah Smith. The warehouse was dimly lit, with a tentacle from a shoggoth (a fictional H.P. Lovecraft creature that's become a popular metaphor for AI models) hanging from the ceiling.

Online services often require users to agree to lengthy and obscure Terms of Service (ToS), leading to information asymmetry and legal risks. This paper proposes TOSense-a Chrome extension that allows users to ask questions about ToS in natural language and get concise answers in real time. The system combines (i) a crawler "tos-crawl" that automatically extracts ToS content, and (ii) a lightweight large language model pipeline: MiniLM for semantic retrieval and BART-encoder for answer relevance verification. To avoid expensive manual annotation, we present a novel Question Answering Evaluation Pipeline (QEP) that generates synthetic questions and verifies the correctness of answers using clustered topic matching. Experiments on five major platforms, Apple, Google, X (formerly Twitter), Microsoft, and Netflix, show the effectiveness of TOSense (with up to 44.5% accuracy) across varying number of topic clusters. During the demonstration, we will showcase TOSense in action. Attendees will be able to experience seamless extraction, interactive question answering, and instant indexing of new sites.

In a 30 million mansion perched on a cliff overlooking the Golden Gate Bridge, a group of AI researchers, philosophers, and technologists gathered to discuss the end of humanity. The Sunday afternoon symposium, called "Worthy Successor," revolved around a provocative idea from entrepreneur Daniel Faggella: The "moral aim" of advanced AI should be to create a form of intelligence so powerful and wise that "you would gladly prefer that it (not humanity) determine the future path of life itself." Faggella made the theme clear in his invitation. "This event is very much focused on posthuman transition," he wrote to me via X DMs. "Not on AGI that eternally serves as a tool for humanity."

"Greetings, Lovers, Legends, and Gods of Desire!" read the Partiful invite for the pre-Valentine's Day gathering. On this night, we will surrender to his playful whims." Then, sternly and in all caps: "YOU MUST BE PRE-APPROVED TO GET IN." A couple of days later, a text blast came in; the planners of this in-person dating meetup for singles were budgeting for 200 attendees, but more than 1,000 people applied, so there'd be a venue change. RSVPs closed at 3 pm sharp the day of the event. Then, at night, Barbarossa Lounge in San Francisco's Financial District welcomed the lucky guests who managed to get their names on the list. The event, Love in the Stars, was hosted by local event promoter Spice King and the online platform Paloma, which describes itself as a dating-oriented members club. Per the invitation's instructions, attendees dressed to signal their status; the singles wore a dash of red to make themselves identifiable as the ones looking for love. Their non-single supporters wore a splash of white or gold to signal they were already spoken for. Within an hour, there was no room to move. Small talk and awkward flirting filled every inch of the dark bar, with the question "So, do you like working in tech?" bouncing around at the same tempo as the clubby beats. Welcome to Silicon Valley's in-person dating scene. These regular events are only accessible to those already in the know. They feature pre-vetted guest lists; invite-only gatherings at villas in Hillsborough, one of the wealthiest towns in California; WhatsApp groups that gather monthly in apartments around town; and private parties with secret locations promising Stanford alumni and "creatives" in attendance. In an area that's notoriously tough on daters, at a time when dating app fatigue is at an all-time high, the appetite for ways to find love face-to-face is growing into a frenzy. "We have all collectively realized that dating apps are the worst," says Allie Hoffman, the founder of the two-year-old organization The Feels, a nationwide in-person dating event series with a strong presence in San Francisco. "There is no intention around how depleting, bot-y, ghosty, breadcrumb-y, gaslight-y and fishy they are.