'It was about degrading someone completely': the story of Mr DeepFakes - the world's most notorious AI porn site The hobbyists who helped build this site created technology that has been used to humiliate countless women. Why didn't governments step in and stop them? For Patrizia Schlosser, it started with an apologetic call from a colleague. "I'm sorry but I found this. Are you aware of it?"

This paper argues that model-free reinforcement learning (RL) agents, while lacking explicit planning mechanisms, exhibit behaviours that can be analogised to System 1 ("thinking fast") processes in human cognition. Unlike model-based RL agents, which operate akin to System 2 ("thinking slow") reasoning by leveraging internal representations for planning, model-free agents react to environmental stimuli without anticipatory modelling. We propose a novel framework linking the dichotomy of System 1 and System 2 to the distinction between model-free and model-based RL. This framing challenges the prevailing assumption that intentionality and purposeful behaviour require planning, suggesting instead that intentionality can manifest in the structured, reactive behaviours of model-free agents. By drawing on interdisciplinary insights from cognitive psychology, legal theory, and experimental jurisprudence, we explore the implications of this perspective for attributing responsibility and ensuring AI safety. These insights advocate for a broader, contextually informed interpretation of intentionality in RL systems, with implications for their ethical deployment and regulation.

A polar bear on melting ice: It's a favorite image of nature documentaries and charity ads alike, never failing to put you in the emotional dumps for a simple reason--it forces you to grapple with a changing world, a darker future. But that emotion is often temporary, replaced quickly by others, because its effects are not immediately or directly felt, explained Peter Schlosser, the vice president and vice provost of global futures at Arizona State University. Footage of houses on fire in California, Oregon, and Australia alarms us, but falls short of making us understand that our own home may be next. These "delusions of escape," in the words of science fiction author Kim Stanley Robinson, or "failures of imagination," in the words of Future Tense academic director Ed Finn, placate us into reactive, piecemeal, short-sighted decision-making. But storytelling lights the path forward, agreed Robinson, Finn, Schlosser, Future Tense fellow Alexandra Zapata Hojel, and Malka Older, also a sci-fi author.

The MLS app has been developed in-house because the league fashioned a devoted engineering and improvement crew final yr, and senior vp of media Chris Schlosser mentioned one of many advantages of maintaining the method in-house is the flexibility to push month-to-month releases all year long to make sure that the app is repeatedly up to date. The app was constructed utilizing React Native expertise, which enabled MLS' crew to construct one app throughout iOS, Android and the net. Schlosser mentioned MLS makes use of information from the again finish of the app, in addition to buyer analysis and fan panels, when crafting updates. The Stay Your Colours spot was produced in English and Spanish, and it'll run on MLS associate networks together with ESPN, Fox Sports activities, Univision, TSN and TVA Sports activities, in addition to throughout worldwide broadcast associate platforms and on the league's personal digital channels. Stay Your Colours relies on one of many first issues followers see upon downloading the MLS app: the flexibility to decide on their favourite membership, after which the complete app expertise is personalised based mostly on that membership's colours.

In the late 1990s, two graduate students named in Stanford's computer science department set out to organize the world's information. Shortly thereafter, a visiting scholar named Mario Schlosser arrived on campus, set on figuring out how trust could be built into peer-to-peer networks. The original server used by the graduate students, who were now running a little outfit named Google, had formerly been crammed under a desk in the office Schlosser now used. Now, twenty years later, the graduate students have done OK, and they no longer need to borrow server space. But they've continually been stifled by one kind of information that's very hard to organize: health care data. The industry in America is a mess: yoked together with confusing regulations, perverse incentives, and computers running Windows XP. Meanwhile, Schlosser, has moved on from academia and created a company, called Oscar, with Joshua Kushner (brother of Jared) to try to solve those problems. The goal of Oscar is to do to health care what Uber did to the taxi industry: use smart digital technology to make everything faster and easier for customers, and then use the data gathered to build radically new services, which can collect more data that leads to new services. Google invested early in Oscar through its venture capital fund Capital G and its health services spinoff, Verily. Neither company will give exact figures, but it seems that Alphabet will now own roughly ten percent of the Oscar. One of Google earliest employees, Salar Kamangar, the former CEO of YouTube, will also join Oscar's board. I spoke with Schlosser for an hour on Monday about the deal, privacy, data, and whether, one day, we'll actually treat our gastroenteritis through an app.