In Brownsville, Texas, some families found a buzzy new school's methods--surveillance of kids, software in lieu of teachers--to be an education in and of itself. At Alpha School's campus in Brownsville, Texas, a student works on exercises in a learning app. One day last fall, Kristine Barrios' 9-year-old daughter got stuck on a lesson in IXL, the personalized learning software that served as her math teacher. She had to multiply three three-digit numbers without using a calculator. Then she had to do it again, her mom says, more than 20 times, without making mistakes. At Alpha School, the private microschool the girl and her younger brother attended in Brownsville, Texas, she had been working a grade level ahead of her age in math, Barrios says. She could do three-digit multiplication correctly most of the time. But whenever she made an error in IXL, the software would determine she needed more practice and assign her more questions. She told her mom that she had asked her "guide," the adult who supervised her classroom in lieu of a teacher, to make an exception and let her move on. She said the guide's reply was that she needed to get it done, that it was expected of her. The adult guides in Alpha's classrooms "don't do any teaching," says the current head of the Brownsville school.

Things to Do in L.A. When I got COVID, readers said it proved vaccines don't work. What has RFK Jr. wrought? A nurse prepares a COVID-19 vaccination. Voice comes from the use of AI. Please report any issues or inconsistencies here .

For weeks now, we've been waiting for the other Timberland-inspired Manolo to drop. About a month ago, news outlets first reported that Jennifer Lopez and Ben Affleck's marriage was in trouble--that the two, in fact, had not been seen together in 47 days. No official announcement of a separation or divorce has followed, but the updates we have gotten--he moved out; they're only sometimes wearing their rings--support the narrative that bad news is on its way. I know that it's a sign of my celebrity brain rot that I can't help but see grim parallels between the fragmentary updates on the state of their marriage and the trickle of information about the state of Jimmy Carter's health. When a newsworthy event is likely to happen--for example, the imminent death of a 99-year-old former president--journalistic outlets have a practice of prewriting the news, to have it ready to go when the time comes.

Over the long weekend, Netflix co-CEO Ted Sarandos got a bit of a roasting for telling the New York Times' Lulu Garcia-Navarro that Barbie and Oppenheimer, whose combined global box office was 2.4 billion, "would have enjoyed just as big an audience on Netflix." It's easy to chuckle at Sarandos' comments, as it was when Zack Snyder told Joe Rogan that his movie Rebel Moon--Part One: A Child of Fire pulled in more viewers than Greta Gerwig's theatrical smash. But as Sarandos' interview was being mocked around the internet, movie theaters were experiencing their worst Memorial Day weekend in decades, led, just barely, by an underwhelming start for Furiosa: A Mad Max Saga. Little more than a week after the prequel to the beloved Mad Max: Fury Road debuted to awestruck reviews at Cannes, the film edged out Garfield to win the weekend with a four-day haul of 32 million at the domestic box office, which was a far less robust showing than industry experts had predicted, and well short of its predecessor's 45 million opening. Meanwhile, according to Netflix's figures, more than 28 million viewers worldwide celebrated the holiday by firing up Atlas, in which Jennifer Lopez is a scientist who defends Earth from annihilation by a terrorist artificial intelligence played by Simu Liu. Common sense, and possibly even Ted Sarandos, will tell you that people don't watch Netflix's content the way they watch a movie like Barbie in a theater--or even the way they'll watch Barbie when it turns up on Netflix.

Artificial intelligence has been credited with helping students pass exams and making the work day easier - but now it is being deployed in the bedroom. Patricia Lopez is deploying the tech to help the up to 30 percent of adult men who suffer from premature ejaculation last longer during sex. MyHixel is a fleshlight sex toy that has a companion app. In combination, they train men to lost longer in bed and trials show it can boost endurance by up to seven-fold. The company's founder, Patricia Lopez, launched the MyHixel Control app and device after seeing a gap in the market (Myhixel) Myhixel has now sold 30,000 units and rising.

We introduce a new type of test, called a Turing Experiment (TE), for evaluating to what extent a given language model, such as GPT models, can simulate different aspects of human behavior. A TE can also reveal consistent distortions in a language model's simulation of a specific human behavior. Unlike the Turing Test, which involves simulating a single arbitrary individual, a TE requires simulating a representative sample of participants in human subject research. We carry out TEs that attempt to replicate well-established findings from prior studies. We design a methodology for simulating TEs and illustrate its use to compare how well different language models are able to reproduce classic economic, psycholinguistic, and social psychology experiments: Ultimatum Game, Garden Path Sentences, Milgram Shock Experiment, and Wisdom of Crowds. In the first three TEs, the existing findings were replicated using recent models, while the last TE reveals a "hyper-accuracy distortion" present in some language models (including ChatGPT and GPT-4), which could affect downstream applications in education and the arts.

Closed-book question answering (QA) requires a model to directly answer an open-domain question without access to any external knowledge. Prior work on closed-book QA either directly finetunes or prompts a pretrained language model (LM) to leverage the stored knowledge. However, they do not fully exploit the parameterized knowledge. To address this issue, we propose a two-stage, closed-book QA framework which employs a coarse-to-fine approach to extract relevant knowledge and answer a question. Our approach first generates a related context for a given question by prompting a pretrained LM. We then prompt the same LM for answer prediction using the generated context and the question. Additionally, to eliminate failure caused by context uncertainty, we marginalize over generated contexts. Experimental results on three QA benchmarks show that our method significantly outperforms previous closed-book QA methods (e.g. exact matching 68.6% vs. 55.3%), and is on par with open-book methods that exploit external knowledge sources (e.g. 68.6% vs. 68.0%). Our method is able to better exploit the stored knowledge in pretrained LMs without adding extra learnable parameters or needing finetuning, and paves the way for hybrid models that integrate pretrained LMs with external knowledge.

Role requiring'No experience data provided' months of experience in Columbus We are a rapidly growing AI Machine Learning Software Start-up with secured funding looking for a 100% remote Senior Python Software Engineer. It's important that you have extensive cloud infrastructure experience and building robust APIs within the Python Flask framework. Important influence and Input on the product you're helping build We are looking for a seasoned Senior Cloud Engineer to help implement Kubernetes and help create ETL pipelines at scale (Airflow).

Microsoft, NASA, and students from two HBCUs in the Reston/DC area have completed the maiden mission of a new Microsoft/NASA partnership, STEM Educational Project: AI looking for new Earths. Using methodology developed by The Microsoft Garage over years of running hackathons, in just one month – and while completing their final exams – the student hackers learned and deployed several new technologies, and quite literally reached the stars by showing they could deploy code to the International Space Station. According to Piali Ghose, Director of The Garage Reston/DC and host of the event, "This hackathon amplifies the cultural priorities closest to our hearts here at Microsoft and at The Garage because it allows us to continue fulfilling our stated commitments to making a difference, seeking diversity and being inclusive in our work, bringing multiple teams together as'One Microsoft' while collaborating with federal and academic partners, and doing all of this with a growth mindset." The partnership emerged from a shared goal of fostering the future STEM workforce by exposing university students to science, tools, and expertise "at the intersection of Space Cloud." By structuring the project as a month-long hackathon, participating students learned how real data scientists work as a team to ideate, develop, and validate their work with a proof of concept.

Robots can do a lot. They build cars in factories. Robotic dogs can, allegedly and a little creepily, make us safer by patrolling our streets. But there are some things robots still cannot do – things that sound quite basic in comparison. "It's a simple thing" for humans, says robotics researcher Joe Davidson.