Lipograms are a unique form of constrained writing where all occurrences of a particular letter are excluded from the text, typified by the novel Gadsby, which daringly avoids all usage of the letter 'e'. In this study, we explore the power of modern large language models (LLMs) by transforming the novel F. Scott Fitzgerald's The Great Gatsby into a fully 'e'-less text. We experimented with a range of techniques, from baseline methods like synonym replacement to sophisticated generative models enhanced with beam search and named entity analysis. We show that excluding up to 3.6% of the most common letters (up to the letter 'u') had minimal impact on the text's meaning, although translation fidelity rapidly and predictably decays with stronger lipogram constraints. Our work highlights the surprising flexibility of English under strict constraints, revealing just how adaptable and creative language can be.

Recently, LLMs have garnered increasing attention across academic disciplines for their potential as human digital twins, virtual proxies designed to replicate individuals and autonomously perform tasks such as decision-making, problem-solving, and reasoning on their behalf. However, current evaluations of LLMs primarily emphasize dialogue simulation while overlooking human behavior simulation, which is crucial for digital twins. To address this gap, we introduce BehaviorChain, the first benchmark for evaluating LLMs' ability to simulate continuous human behavior. BehaviorChain comprises diverse, high-quality, persona-based behavior chains, totaling 15,846 distinct behaviors across 1,001 unique personas, each with detailed history and profile metadata. For evaluation, we integrate persona metadata into LLMs and employ them to iteratively infer contextually appropriate behaviors within dynamic scenarios provided by BehaviorChain. Comprehensive evaluation results demonstrated that even state-of-the-art models struggle with accurately simulating continuous human behavior.

Decision making lies at the very heart of many psychiatric diseases. It is also a central theoretical concern in a wide variety of fields and has undergone detailed, in-depth, analyses. We take as an example Major Depressive Disorder (MDD), applying insights from a Bayesian reinforcement learning framework. We focus on anhedonia and helplessness. Helplessness--a core element in the conceptual- izations of MDD that has lead to major advances in its treatment, pharmacolog- ical and neurobiological understanding--is formalized as a simple prior over the outcome entropy of actions in uncertain environments.

While your body is lying in bed, your mind may be strolling around the manicured gardens of a manor house or the gritty streets of Victorian London. But now you can see some of the most iconic homes in literature with your own eyes, thanks an artificial intelligence (AI). These include Pemberley House, Mr Darcy's lavish estate in'Pride and Prejudice', and the residence of the world's most famous detective, Sherlock Holmes. Book lovers at Hammonds Furniture used the text-to-image software Midjourney to bring fictional homes to life in celebration of World Book Day 2023 - but how many of them can you guess? Jay Gatsby's mansion in'The Great Gatsby' (pictured) is described as a'colossal affair by any standard' and an'imitation of some Hôtel de Ville in Normandy' Daisy Buchanan's estate in'The Great Gatsby' (pictured) is described as a'cheerful red-and-white Georgian Colonial mansion', as well as'elaborate', 'bright' and'rosy-coloured' The above two houses are depictions of those from'The Great Gatsby', a novel set in 1922 that follows the life of mysterious millionaire Jay Gatsby.

This article was written by The Kid, the 12-year old writer of If Lisa Simpson Had A Substack. If you enjoy reading it, or think you learned something, please like it. If you want to read more posts like this, hit the subscribe button. The Third Edition New Oxford American Dictionary defines Artificial Intelligence (or AI) as "the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages." When we think of AI, we usually think of Issac Asimov's I, Robot -- or, if you're like me, you'll think of Data or Lore from Star Trek.

Like Gatsby's endless examination of Daisy's green light across the bay, the singleton's incessant search for "ideal" remains always out of reach (I'm a dating app evangelist – but even I'm not on Tinder any more, 15 August; Dating apps have made our love lives hell. Why do we keep using them?, 16 August). The promise exceeds what reality will deliver: the facade of beauty, wit and chemistry conjured through our screens belies doctored images, unrepentant creeps and bores. The collective romantic subconscious, carefully curated by Disney and Richard Curtis, cannot survive its collision with reality. And this is to say nothing of those we leave in our wake: the flattened Myrtle Wilsons and proverbial pulped fruits at Gatsby's door waiting for the next swipe-right to pick through.

Or, more precisely, I love words and stories. I often find myself poring over specific passages and savoring them, searching for nuance and pattern. In many ways, Watson is a word lover too, finding connections and insights within unstructured data. Usually, Watson reads medical journals or legal regulations, but I have often wondered what Watson might find in some of my favorite novels. So, I decided to see how Watson would'read' a scene from The Great Gatsby by F. Scott Fitzgerald.

Or, more precisely, I love words and stories. I often find myself poring over specific passages and savoring them, searching for nuance and pattern. In many ways, Watson is a word lover too, finding connections and insights within unstructured data. Usually, Watson reads medical journals or legal regulations, but I have often wondered what Watson might find in some of my favorite novels. So, I decided to see how Watson would'read' a scene from The Great Gatsby by F. Scott Fitzgerald.

Tesla CEO Elon Musk speaks at the Model X launch event in Fremont, Calif. SAN FRANCISCO – Watch out, fellow automakers: Elon Musk announced Wednesday evening that Tesla Motors, known for pricey electric sedans, hopes to expand into small SUVs, a pickup and even heavy-duty semis and buses in a bid to revolutionize transportation as we know it. That bombshell was just part of Musk's long-touted Tesla master plan, a follow-up to one issued when the company was just starting out, outlining a strategy that pivots the company from a builder of niche automobiles to a producer of a broad range of passenger and commercial vehicles that eschew fossil fuel. Also noted in the plan, which Musk published on the company's website, is the company's more well-known pursuit of the consumer solar business through its planned acquisition of SolarCity. Tesla will "create stunning solar roofs with seamlessly integrated battery storage, expand the electric vehicle product line to address all major segments, develop a self-driving capability that is 10 (times) safer than manual via massive fleet learning, (and) enable your car to make money for you when you aren't using it," reads Musk's "Master Plan, Part Deux."

Tesla CEO Elon Musk speaks at the Model X launch event in Fremont, Calif. SAN FRANCISCO – Tesla is known for making an elite 100,000 electric sedan. Well watch out automakers, Elon Musk just announced his company will be pursuing small SUVs, a pickup truck and even larger scale commercial trucks in a bid to revolutionize transportation as we know it. That bombshell was just part of Musk's long-touted Tesla "Master Plan: Part Deux," which outlined a strategy that pivots the company from a builder of niche automobiles to a producer of a broad range of passenger and commercial vehicles that eschew fossil fuel. Also noted in the plan, which Musk published on the company's website late Wednesday, is the company's more well-known pursuit of the consumer solar business through its planned acquisition of SolarCity.