Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. This spring's hot topic of conversation for my colleagues in higher ed was that "Everyone Is Cheating Their Way Through College" article in New York magazine. Most of the fellow professors I spoke with about this were horrified by how often students now can and do let A.I. write their papers. Others are joining their students in asking, Why not? A surprising coalition--William Shakespeare and 17th-century scribes, as well as 21st-century elementary school teachers, anti-fascist scholars, and epidemiologists--would tell you why not. A key principle for 17th-century scholars transcribing or translating classical or biblical texts was lectio difficilior potior: The reading that is stranger is stronger.

This paper explores the integration of human-like emotions and ethical considerations into Large Language Models (LLMs). We first model eight fundamental human emotions, presented as opposing pairs, and employ collaborative LLMs to reinterpret and express these emotions across a spectrum of intensity. Our focus extends to embedding a latent ethical dimension within LLMs, guided by a novel self-supervised learning algorithm with human feedback (SSHF). This approach enables LLMs to perform self-evaluations and adjustments concerning ethical guidelines, enhancing their capability to generate content that is not only emotionally resonant but also ethically aligned. The methodologies and case studies presented herein illustrate the potential of LLMs to transcend mere text and image generation, venturing into the realms of empathetic interaction and principled decision-making, thereby setting a new precedent in the development of emotionally aware and ethically conscious AI systems.

Late last year, UrgentSeas received an anonymous tip from a former employee at the Miami Seaquarium about animal tanks away from public view. The advocacy group went to investigate. In November, they posted a short clip of what they found by flying a drone over the property: an elderly manatee living alone in a decaying private pool. Within a month, the clip had been watched millions of times and the outcry had grown so intense that the US Fish and Wildlife Service moved the manatee, Romeo, and his mate, Juliet, to a sanctuary. Over the past decade, drones have become irreplaceable tools in activist and conservation circles.

Natural language processing (NLP) is at the forefront of great advances in contemporary AI, and it is arguably one of the most challenging areas of the field. At the same time, in the area of Quantum Computing (QC), with the steady growth of quantum hardware and notable improvements towards implementations of quantum algorithms, we are approaching an era when quantum computers perform tasks that cannot be done on classical computers with a reasonable amount of resources. This provides a new range of opportunities for AI, and for NLP specifically. In this work, we work with the Categorical Distributional Compositional (DisCoCat) model of natural language meaning, whose underlying mathematical underpinnings make it amenable to quantum instantiations. Earlier work on fault-tolerant quantum algorithms has already demonstrated potential quantum advantage for NLP, notably employing DisCoCat. In this work, we focus on the capabilities of noisy intermediate-scale quantum (NISQ) hardware and perform the first implementation of an NLP task on a NISQ processor, using the DisCoCat framework. Sentences are instantiated as parameterised quantum circuits; word-meanings are embedded in quantum states using parameterised quantum-circuits and the sentence's grammatical structure faithfully manifests as a pattern of entangling operations which compose the word-circuits into a sentence-circuit. The circuits' parameters are trained using a classical optimiser in a supervised NLP task of binary classification. Our novel QNLP model shows concrete promise for scalability as the quality of the quantum hardware improves in the near future and solidifies a novel branch of experimental research at the intersection of QC and AI.

Amazon's digital assistant Alexa has learnt to speak recite lines from the works of William Shakespeare, to mark his official day of celebration today. Users can ask Alexa to'speak like Shakespeare' for a variety of responses, as well as ask to recite a Shakespearean sonnet and soliloquy and even a famous insult. When asked to recite a Shakespearean insult, Alexa may reply, 'The rankest compound of villainous smell that ever offended nostril' from The Merry Wives of Windsor. The digital assistant may also reply, 'You starveling, you eel-skin, you dried neat's-tongue, you bull's-pizzle, you stock-fish' from Henry IV, Part 1. Alexa powers the company's Echo speakers, including the spherical fourth generation Echo released last autumn. Get into the spirit of Shakespeare Day 2021 like this chap in an Amazon promotional image.

Romeo, an 11-year-old frog from Cochabamba City, Bolivia, has been given his own online dating profile in a bid to save his species. The Sehuencas water frog, who is the last known individual of his species, has not had a partner for more than 10 years. Conservation groups have teamed up with Match.com to give Romeo a platform and raise awareness for his story as well as funds for an expedition to find him a mate. If all else fails, one of the researchers on the project wont rule out cloning as a means of preserving this amphibian species which, like many others, is threatened by climate change, habitat loss and other environmental and ecological issues. Romeo, an 11-year-old frog from Cochabamba City, Bolivia, has been given his own online dating profile in a bid to save his species.

Customers hoping to buy an iPhone X when it goes on sale on November 3rd have been warned of massive shortages. Apple has faced production issues with the handset, leading one leading analyst to claims the firm may only have two million handsets available for sale when it goes on sale on November 3rd. Although Apple has not released first weekend sales figures for its last few handsets, the last time it did, the firm sold 13 million iPhone 6S units the first weekend it was on sale. It has been widely reported the Apple is struggling to produce its new iPhone X handset, with reports of several production issues with the 3D camera the handset uses to recognises faces However, the latest reports say that the firm should have '2-3 million' handsets at launch, and that the production bottlenecks will be cleared by November. Apple's preorders will go live here on Oct. 27th at: Preorders for the handset open on October 27th, and Apple today said starting on Monday, October 23, iPhone Upgrade Program customers will be able to get a'head start' on the iPhone X pre-order process by getting pre-approved for an iPhone Upgrade Program loan.

Apple's Chief Operating Officer Jeff Williams is set to meet Terry Gou, the chairman of key iPhone assembler Hon Hai Precision Industry, also known as Foxconn, to discuss production problems with the iPhone X according to Nikkei. It has been widely reported the Apple is struggling to produce its new iPhone X handset, with reports of several production issues with the 3D camera the handset uses to recognises faces. However, the latest reports say that the firm should have '2-3 million' handsets at launch, and that the production bottlenecks will be cleared by November. It has been widely reported the Apple is struggling to produce its new iPhone X handset, with reports of several production issues with the 3D camera the handset uses to recognises faces However, the latest reports say that the firm should have '2-3 million' handsets at launch, and that the production bottlenecks will be cleared by November. Multiple reports have claimed it has taken more time to assemble the TrueDepth system's so-called'Romeo' module than the'Juliet' module.

Electric vehicles are the main market for Romeo Power Technology, the Vernon-based lithium-ion battery pack startup. But the company is also using its know-how to make portable battery packs for individuals. On Thursday it introduced the Saber, a ruggedized 2.2-pound bar-shaped device the company says can quick-charge a smartphone 10 times -- or, with the right connectors, 10 smartphones at once. It can also recharge tablets, laptops and small drone aircraft as fast as a wall charger, the company said -- it's "like having a wall-socket in your pocket," said Dion Isselhardt, the company's chief product officer. The Saber itself requires two hours of wall time for a refill.

Apple's radical FaceID system is set to come to the entire iPhone line next year, it has been claimed. The firm is set to abandon its current TouchID fingerprint system entirely, according to KGI Securities analyst Ming-Chi Kuo. KGI Securities analyst Ming-Chi Kuo claims that all 2018 iPhone models will move to Face ID, according to 9to5Mac. Kuo also predicted that the iPad Pro would gain Face ID next year. Just last month he issued a note in which he said the future of Face ID depended largely upon consumer reaction to the iPhone X.