When Hollow Knight: Silksong came out last summer I was in so much pain that I didn't know if I'd be able to play it. Could a video game teach me anything new about suffering? L ast year I became uncomfortably well acquainted with suffering. In March I started experiencing excruciating pain in my right arm and shoulder - burning, zapping, energy-sapping pain that left me unable to think straight, emanating from a nexus of torment behind my shoulder blade and sometimes stretching all the way up to the base of my skull and all the way down into my fingers. Typing was agony, but was painful; even at rest it was horrible.

In the spring of 2021, just months before Congress passed the Infrastructure Investment and Jobs Act--heralded by the Biden administration as the largest-ever federal investment in public transit, bridge repair, and clean energy--I found myself playing a lot of Mass Effect Legendary Edition. This was a happy coincidence, because never in my life had the nation been so embroiled in wonky debates about infrastructure priorities and spending. And as it turns out, Mass Effect was the perfect 100-hour video game for that particular moment in history: It's absolutely obsessed with transportation technologies and their social, cultural, and political implications. Despite its revolutionary capacity, we often conceptualize transportation in mundane, frustrating terms: long commutes and congested highways, spotty bus service and increasingly crowded sidewalks littered with e-scooters. That's what makes fiction centered around these questions so important--especially when it comes to thinking through the big investments we want to make in infrastructure, what we hope to accomplish, and the challenges we should anticipate.

Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) and dense (e.g. DPR) retrievers and have achieved state-of-the-art performance on various retrieval tasks. These methods, however, are orders of magnitude slower and need much more space to store their indices compared to their single-vector counterparts. In this paper, we unify different multi-vector retrieval models from a token routing viewpoint and propose conditional token interaction via dynamic lexical routing, namely CITADEL, for efficient and effective multi-vector retrieval. CITADEL learns to route different token vectors to the predicted lexical ``keys'' such that a query token vector only interacts with document token vectors routed to the same key. This design significantly reduces the computation cost while maintaining high accuracy. Notably, CITADEL achieves the same or slightly better performance than the previous state of the art, ColBERT-v2, on both in-domain (MS MARCO) and out-of-domain (BEIR) evaluations, while being nearly 40 times faster. Code and data are available at https://github.com/facebookresearch/dpr-scale.

Oraichain is the world's first intelligent and secure solution for emerging Web3, scalable Dapps, and decentralized AI. The proposed Oraichain could be a bridge to bring AI to smart contracts. The Oraichain mechanism seems similar to Band Protocol and Chainlink, but it focuses more on AI APIs and the quality of the provided AI models. In each user request, test cases are attached, and the providers' API must pass a certain number of test cases to receive payment. The validators manage the features of test cases and AI model quality, and that makes Oraichain unique and different.

Another one on the wreck of the Conch Citadel: holes in the walls and in the ceiling and floor, floating debris and rusting furniture that must have once been pristine and polished, the state of the art of Đại Ánh. A series of disc-shaped auxiliary robots and larger maintenance mechs parked in the walls, gleaming in the light projected by Thu's lamp. Thu was in the doorway, floating in the low-gravity of the wreck--holding onto the frame with one hand, the small thruster-pack in her back turned off to conserve energy. She'd been about to enter the room, but something had been bothering her enough that it had stopped her. It took her a moment to realize it was her lineaged memory that was kicking up the fuss, specifically Ánh Ngọc's most recent transfer, the one of the latest shift Ánh Ngọc had done onboard Citadel.

Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. For a quarter of a century, Citadel's hedge funds have delivered meaningful and measurable results to top-tier investors around the world, including sovereign wealth funds, public institutions, corporate pensions, endowments and foundations. With an unparalleled ability to identify and execute on great ideas, Citadel's team of more than 675 investment professionals, operating from offices including Chicago, New York, San Francisco, London, Hong Kong and Shanghai, deploy capital across all major asset classes, in all major financial markets.

With advances in artificial-intelligence technology occurring more rapidly than ever, the potential for AI to assist us in nearly everything we do at work and at home has become very real. However, some fear that along with AI's tremendous upside of delivering efficiencies humans could not possibly realize on their own comes a dark side--the possibility that super-intelligent AI machines could develop complete autonomy and act against human interests. Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to find out if fears about AI overtaking humankind have any founding. An edited version of their remarks follows. Adam Coates, director, Baidu Research Silicon Valley AI Lab: I do think sometimes we get carried away and start to think about sentient machines--machines that are just going to understand everything the way that we do and totally interact with us like a human.

With the enormous impact of artificial intelligence on business becoming increasingly clear and imminent, executives face critical (and quick) decisions on their AI strategy. The impact of these decisions will have far-reaching, long-term implications on the profitability and continued viability of organizations around the world. Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to learn what advice they would give to executives as they determine how to best employ AI across their business. An edited version of their remarks follows. Li Deng, chief AI officer, Citadel: I think everybody should embrace these modern AI capabilities. On the other hand, they also have to think about business-specific problems.

European banks face'bottleneck' to complete EBA stress test New accounting rules and supervisor demands squeeze teams prepping for 2018's exercise It's not going too far to suggest that, in 10 or 15 years' time, the job of a risk manager will be largely that of a machine overseer. Many risk managers may feel this is already the case. Our coverage this week highlights some of the advantages and the dangers of the change. At JP Morgan Asset Management and Citadel, the development of big data technology is producing tempting results – the companies' existing stocks of data on credit history and investment performance can now be exploited as never before. The implications are interesting; if the edge for asset managers of the future comes from sophisticated processing of existing information – what the intelligence community would call open-source intelligence – then the incentives for market abuse through insider trading may be reduced.

Hedge funds seeking artificial intelligence expertise need to cast the net wide these days, due to a shortage of people and a massive uptick in demand over the past 12 months. Citadel has just turned to Microsoft for the new role of chief AI officer. Li Deng, who joined the tech firm straight out of academia 17 years' ago, has just joined Citadel's hedge fund operation in Seattle, but will work also across Chicago and New York. Deng announced his move to Citadel on LinkedIn yesterday, saying that he was "very excited about the opportunities for artificial intelligence innovation here and the firm's passion for growing its leadership in this space." Citadel didn't immediately respond to requests for comment.