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I Hate My AI Friend

WIRED

The chatbot-enabled Friend necklace eavesdrops on your life and provides a running commentary that's snarky and unhelpful. Worse, it can also make the people around you uneasy. The AI-powered Friend pendant is now out in the world. If you live in the US or Canada, you can buy one for $129. The smooth plastic disc is just under 2 inches in diameter; it looks and feels a little like a beefy Apple AirTag. Inside are some LEDs and a Bluetooth radio that connects you (through your iPhone) to a chatbot in the cloud that's powered by Google's Gemini 2.5 model. You can tap on the disc to ask your Friend questions as it dangles around your neck, and it responds to your voice prompts by sending you text messages through the companion app.


A new approach for predicting the Quality of Experience in multimedia services using machine learning

Panahi, Parsa Hassani Shariat, Jalilvand, Amir Hossein, Diyanat, Abolfazl

arXiv.org Artificial Intelligence

In today's world, the Internet is recognized as one of the essentials of human life, playing a significant role in communications, business, and lifestyle. The quality of internet services can have widespread negative impacts on individual and social levels. Consequently, Quality of Service (QoS) has become a fundamental necessity for service providers in a competitive market aiming to offer superior services. The success and survival of these providers depend on their ability to maintain high service quality and ensure satisfaction.Alongside QoS, the concept of Quality of Experience (QoE) has emerged with the development of telephony networks. QoE focuses on the user's satisfaction with the service, helping operators adjust their services to meet user expectations. Recent research shows a trend towards utilizing machine learning and deep learning techniques to predict QoE. Researchers aim to develop accurate models by leveraging large volumes of data from network and user interactions, considering various real-world scenarios. Despite the complexity of network environments, this research provides a practical framework for improving and evaluating QoE. This study presents a comprehensive framework for evaluating QoE in multimedia services, adhering to the ITU-T P.1203 standard which includes automated data collection processes and uses machine learning algorithms to predict user satisfaction based on key network parameters. By collecting over 20,000 data records from different network conditions and users, the Random Forest model achieved a prediction accuracy of 95.8% for user satisfaction. This approach allows operators to dynamically allocate network resources in real-time, maintaining high levels of customer satisfaction with minimal costs.


AI generated Joe Rogan podcast stuns social media with 'terrifying' accuracy: 'Mind blowingly dangerous'

FOX News

The video was made with ChatGPT and is not the actual words of Joe Rogan or Sam Altman. Artificial intelligence chatbot ChatGPT has created a 51-minute episode of The Joe Rogan Experience featuring nearly flawless representations of the podcast host's voice and the voice of OpenAI CEO Sam Altman. The episode begins with an AI-generated Rogan welcoming the audience to the first episode of the "Joe Rogan AI Experience," speaking in a manner and tone that is difficult to distinguish from the real person. "I'm your host, Joe Rogan, or at least that's what this AI model thinks I sound like. Let me tell you, folks, this is some next-level stuff we've got going on here today," faux Rogan continues.


Data Analyst/DBA - Top Secret Clearance at Spry Squared, Inc. - Colorado Springs, CO, United States

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Spry Squared is a Minority and Woman Owned Small Business headquartered in Denver, Colorado with offices across the United States of America. We are an experienced federal government and commercial service provider with security cleared personnel working on various projects across the USA and the globe. Spry Squared provides organizations with Best in Class Enterprise Solutions, Managed IT Services, Cybersecurity Solutions, IT Professional Services, Recruiting Services, Project/Program Management and technology products. We are your strategic partner and value-added reseller, solving complex business challenges by leveraging technology solutions that reduce costs, optimize productivity and minimize risk. The analyst will support the development and maintenance of reference data bases in support of critical kill-chain scenarios.



Data Scientist - Finance (Hybrid) at Fannie Mae - Washington, DC, United States

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At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to modernize the nations housing finance system while being part of an inclusive team using new, emerging technologies. Here, you will help lead our industry forward, enhance your technical expertise, and make your career. As a valued colleague on our team, you will work with your team to apply fundamental techniques to support production of insights, new product or change recommendations, process improvement or automation, and predictive modeling.


Data Scientist - PayPal

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At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Job Description Summary: Data Scientist for the Shopping & Loyalty Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance. Job Description: Description: The Shopping & Loyalty team is passionate about rewarding users for their online shopping activities and driving user engagement and loyalty. The acquisition of Honey is only the beginning of our journey to create rich, innovative experiences that people can’t imagine shopping without. For that, we are seeking exceptional problem solvers with a passion for data insights and relentless focus on execution. * You are curious and inquisitive: love digging into data and uncovering insights * You are hyper-analytical and intellectually honest, truly believing in data-driven decisions and communicating your ideas through storytelling * You are familiar with data science and machine learning techniques to improve product experiences * You are a highly motivated, result-oriented self-starter, enjoy working in a fast-pace environment, and can deliver successful results with minimal guidance * You are a fun-loving, adventurous team player Key Responsibilities * Perform deep dive analyses on key business trends from multiple perspectives and package the insights into easily consumable presentations * Make data visually appealing and simple to both navigate and comprehend for end-users  * Identify key metrics and drive the building of exec-facing dashboards to track progress of the business and its highest priority initiatives * Identify key business levers, establish cause & effect, and communicate key findings to various stakeholders to facilitate data driven decision-making * Engage in problem solving with Product, Finance, Marketing, and various other teams to determine performance trends and root causes. * Support new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance. * Create close relationships with stakeholders to anticipate & answer questions that might be asked by executives  Basic Requirements: * B.S. in a quantitative field (math, statistics, computer science, or similar STEM fields), advanced degrees a plus * 4+ year of data science, analytics, or consulting experience * Experience influencing product strategy through analyses and data-centric presentations * Ability to independently break down large datasets and synthesize inputs from multiple sources * Experience with at least one querying language (e.g. SQL) and/or one scripting language (e.g. Python), comfortable with working with large, complex, and potentially messy datasets * Understanding of statistics (e.g. hypothesis testing, statistical inference, regression), experience designing and evaluating complex experiments a plus * Strong interpersonal and communication skills * Ability to act as a thought partner and interact cross-functionally * Experience with visualization tools such as Tableau / Periscope a plus, experience with building machine learning models a plus Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated. REQ ID R0095386


Senior Insight Analyst at Abcam Plc - Trumpington, United Kingdom

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From global research discoveries to clinical breakthroughs – our vision is to become the most influential life sciences company for researchers. If you are motivated by making a real impact to people's life and have a desire to work in a passionate and diverse community, Abcam is the place for you. Our culture is driven by our dedicated, agile and audacious community of professionals who are driven by a combined purpose and sense of belonging. We're incredibly proud to be recognised as one of the top 5 best places to work in the UK for two years running, as per Glassdoor's Employees' Choice Award. This is an excellent opportunity to join the Abcam Digital Team creating solid information and insights from the manipulation of data.


Finance - Data Science - Associate-101193-TEMPLATE at Fannie Mae - Washington, DC, United States

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GENERAL BOILERPLATE At Fannie Mae, futures are made. The inspiring work we do makes an affordable home a reality and a difference in the lives of Americans. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing environment. Here, you will help lead our industry forward and make your career. CORPORATE PROFESSIONAL At Fannie Mae, futures are made.


Senior Machine Learning Scientist (EMEA Remote) at Turnitin, LLC - Warsaw, Poland

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When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our services: Gradescope by Turnitin, iThenticate, Turnitin Feedback Studio, Turnitin Originality, Turnitin Similarity, ExamSoft, and ProctorExam. Turnitin has offices in Australia, India, Indonesia, Japan, Korea, Mexico, the Netherlands, the Philippines, Ukraine, the United Kingdom, and the United States. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.