Generative agents powered by language models are increasingly deployed for long-horizon tasks. However, as long-term memory context grows over time, they struggle to maintain coherence. This deficiency leads to critical failures, including identity drift, ignoring established beliefs, and the propagation of hallucinations in multi-agent systems. To mitigate these challenges, this paper introduces Identity Retrieval-Augmented Generation (ID-RAG), a novel mechanism designed to ground an agent's persona and persistent preferences in a dynamic, structured identity model: a knowledge graph of core beliefs, traits, and values. During the agent's decision loop, this model is queried to retrieve relevant identity context, which directly informs action selection. We demonstrate this approach by introducing and implementing a new class of ID-RAG enabled agents called Human-AI Agents (HAis), where the identity model is inspired by the Chronicle structure used in Perspective-Aware AI, a dynamic knowledge graph learned from a real-world entity's digital footprint. In social simulations of a mayoral election, HAis using ID-RAG outperformed baseline agents in long-horizon persona coherence - achieving higher identity recall across all tested models by the fourth timestep - and reduced simulation convergence time by 19% (GPT-4o) and 58% (GPT-4o mini). By treating identity as an explicit, retrievable knowledge structure, ID-RAG offers a foundational approach for developing more temporally coherent, interpretable, and aligned generative agents. Our code is open-source and available at: https://github.com/flybits/humanai-agents.

AI-enhanced Extended Reality (XR) aims to deliver adaptive, immersive experiences--yet current systems fall short due to shallow user modeling and limited cognitive context. We introduce Perspective-Aware AI in Extended Reality (PAiR), a foundational framework for integrating Perspective-Aware AI (PAi) with XR to enable interpretable, context-aware experiences grounded in user identity. PAi is built on Chronicles--reasoning-ready identity models learned from multimodal digital footprints that capture users' cognitive and experiential evolution. PAiR employs these models in a closed-loop system linking dynamic user states with immersive environments. We present PAiR's architecture, detailing its modules and system flow, and demonstrate its utility through two proof-of-concept scenarios implemented in the Unity-based Open-Dome engine. PAiR opens a new direction for human-AI interaction by embedding perspective-based identity models into immersive systems.

Lasker, the Times explained, was the "intermediary" who tipped off the publication about Mamdani's application, which was included in a larger hack of Columbia's computer systems. After the Times published its story, Lasker celebrated on X. "I break-uh dah news," he wrote to his more than 260,000 followers. On both X and Substack, where he also has a large following, Lasker is best-known for compiling charts on the "Black-White IQ gap" and otherwise linking race to real-world outcomes. He seems convinced that any differences are the result of biology, and has shot down other possible explanations. He has suggested that crime is genetic.

Digging up treasures from the past is an exciting business. So exciting, in fact, it's kept players coming back to the Tomb Raider series for nearly three decades. The original trilogy was successfully remastered and rereleased last year. Now a new collection has been recovered from the attic and put on show, like a family heirloom on the Antiques Roadshow. But will this turn out to be the gaming equivalent of a priceless Ming vase?

The 2025 Oscar nominations were announced on Thursday, and two New Yorker films are among the contenders. "Incident," which uses body-camera and surveillance footage to examine a police shooting in Chicago, is nominated in the Documentary Short Film category, while "I'm Not a Robot," a darkly humorous Dutch film about a woman taking a series of CAPTCHA tests, is nominated for best Live Action Short. Seventeen previous New Yorker films have been nominated for Academy Awards; a victory at this year's ceremony, scheduled for March 2nd in Los Angeles, would be the magazine's first win. "Incident," directed by Bill Morrison, who produced with Jamie Kalven, chronicles a police killing and its aftermath. On a Chicago sidewalk, an African American man named Harith (Snoop) Augustus is questioned and then pursued by a foot patrol after leaving the barbershop where he works; after a brief scuffle, he is fatally wounded.

Sam Crane was in the middle of doing Macbeth when the bullets started flying. A veteran of the British stage, Crane was on the verge of playing the lead in the London production of Harry Potter and the Cursed Child when COVID-19 shut down live performances, and by the U.K.'s third lockdown, he was itching for an audience. So instead of playing to a West End crowd, he found himself orating to a smattering of heavily armed lawbreakers inside the video game Grand Theft Auto. "If I could just request that you refrain from killing each other," he calls out amid the tomorrows and tomorrows. "And don't kill the actors either!"

Retrieval Augmented Generation (RAG) has become one of the most popular paradigms for enabling LLMs to access external data, and also as a mechanism for grounding to mitigate against hallucinations. When implementing RAG you can face several challenges like effective integration of retrieval models, efficient representation learning, data diversity, computational efficiency optimization, evaluation, and quality of text generation. Given all these challenges, every day a new technique to improve RAG appears, making it unfeasible to experiment with all combinations for your problem. In this context, this paper presents good practices to implement, optimize, and evaluate RAG for the Brazilian Portuguese language, focusing on the establishment of a simple pipeline for inference and experiments. We explored a diverse set of methods to answer questions about the first Harry Potter book. To generate the answers we used the OpenAI's gpt-4, gpt-4-1106-preview, gpt-3.5-turbo-1106, and Google's Gemini Pro. Focusing on the quality of the retriever, our approach achieved an improvement of MRR@10 by 35.4% compared to the baseline. When optimizing the input size in the application, we observed that it is possible to further enhance it by 2.4%. Finally, we present the complete architecture of the RAG with our recommendations. As result, we moved from a baseline of 57.88% to a maximum relative score of 98.61%.

A Cruise autonomous vehicle (AV) was reportedly involved in a horrific accident in San Francisco on Monday evening. A pedestrian crossing a street was hit by a car, which sped off. However, the hit-and-run hurled her in front of a Cruise driverless taxi, which stopped on top of her leg as she screamed in pain. According to the San Francisco Chronicle, the woman was still in critical condition at 9:30AM ET on Tuesday. The pedestrian was reportedly walking in a crosswalk at Market and Fifth in San Francisco when she was hit by a green car, which fled the scene.

You can see where this is headed. A writing assignment asks students to compare and contrast feminist themes in Jane Eyre and Wuthering Heights. Yup, it can do that. A political science exam requires short-essay responses to questions around the rise and fall of the Soviet Union. So what does this all mean for teaching?

As more nurses leave their jobs in hospitals and health-care centers, foundations are pouring millions of dollars into efforts to ensure that more stay in the profession and get more out of the job than just the applause and pats on the back they got during the bleakest days of the pandemic. The gift is designed to extend for decades. The latest grant installment will focus on improving access to care and attracting people of diverse racial and ethnic backgrounds to the nursing work force. Projects include programming robots to take care of some of the routine aspects of nursing and providing extra training to nurses before they are thrown into the pell-mell of the hospital floor or busy clinic. That extra instruction could have helped nurses like Muroo Hamed, who worked grueling hours in difficult circumstances through the early stages of the pandemic.