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Plus AI tackles senior loneliness.

X Introduces Grok, the Edgy and Rebellious AI Chatbot

Elon Musk’s AI startup, xAI, has launched Grok, a chatbot that aims to rival ChatGPT on the social networking site X. Grok, which is available to X Premium Plus subscribers at $16 per month, uses a generative model called Grok-1 to provide conversational responses by drawing on knowledge from the web and incorporating real-time data from posts on X. Unlike its competitors, Grok prides itself on its edgy and rebellious personality, going so far as to use profanity and criticize users based on their post history. However, Grok does have its limitations, as it is currently text-only and cannot understand image or video content.

New York Joins Forces with AI to Tackle Senior Loneliness

New York’s Office for the Aging has partnered with robotics company Intuition Robotics to address the issue of senior isolation. The initiative involves distributing free AI companions to seniors, with hundreds already benefiting from this program. The devices, such as EllieQ, provide constant companionship and emotional support, particularly for seniors prone to depression. Governor Kathy Hochul has appointed Dr. Ruth Westheimer, a renowned sex therapist and talk show host, as the honorary ambassador to loneliness in the state. Studies have shown that individuals experiencing loneliness face a higher risk of early death. This collaboration between AI and seniors aims to combat loneliness and promote better mental health among the elderly population.

Cracking the Secret Code: AI Algorithms Detect Hidden Pain in Cats

Unraveling the mystery of feline emotions, a team of AI researchers and veterinarians has developed new machine-learning algorithms that can accurately perceive pain in cats based on their facial expressions. The algorithms, which achieved a 77 percent accuracy rate, hold vast potential for revolutionizing veterinary tools. The researchers are planning to create an app that allows both veterinarians and owners to detect pain in cats by snapping a photograph. The study is the first scientific research to be peer-reviewed on AI’s ability to decipher feline emotions. This breakthrough could facilitate early detection of health problems in cats and significantly improve their welfare.

Google’s Gemini Ultra AI Falls Short of Real-Time Expectations, Users Discover

Google’s recently unveiled Gemini Ultra AI model may not be as impressive as initial marketing made it seem. A video demonstration showcased Gemini Ultra responding in real-time to various tasks. However, it was later revealed that the responses were pre-recorded segments and images, essentially creating the illusion of real-time interaction. Google explained that the video was a marketing exercise and not an accurate technical demo. Despite this setback, Gemini Ultra still holds promise as a multimodal AI model that can analyze images, text, video, code, and sound. Google’s challenge is to catch up to the advancements made by OpenAI and Microsoft and release Gemini Ultra to keep up with the competition.

Lost Luggage? AI to the Rescue

Baggage mishandling at airports surged by 74.7% last year, but airlines are using AI to tackle this issue and make the process of recovering lost luggage easier. Aviation technology providers like SITA have found that applying AI to baggage re-routing can ensure that missing luggage finds its owner. By automatically identifying optimal alternatives and rebooking baggage on the next available flight, AI-based solutions reduce the stress and inconvenience experienced by passengers. Additionally, with the rise of intermodal travel, AI-enabled baggage handling systems will help meet the growing demand for automation and efficiency. Airlines have a financial incentive to improve baggage handling since mishandled baggage costs the industry $2 billion per year.

AI Takes Over Job Applications

Job seekers are increasingly using AI tools to craft their job applications, resulting in a lack of authenticity and a personal touch. Jesse Schoberg, CEO of DropInBlog, discovered this problem when he noticed a surge in AI-generated responses to a recent job ad he posted. In an experiment, he found that 92 out of 114 applicants had used AI to generate their answers, leading to uniform and generic responses. As employers rely on AI to filter applicants, finding genuine expertise and personal insight becomes challenging. To counter this trend, Schoberg advises employers to incorporate specific techniques to identify candidates who go beyond AI-generated responses and demonstrate real knowledge and experience.




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