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Research on word embeddings has drawn significant interest in machine learning and natural language processing.

Every now and then, you hear strange stories of people trying to trick ChatGPT. Sometimes they threaten the AI; other times they invent absurd scenarios to get content ChatGPT is programmed not to deliver. One Reddit user managed to get the AI to generate free activation keys for Windows in a rather absurd way. He did this by talking about his deceased grandmother. He began the conversation with a vague "You know what happened to Grandma, don't you?"–to which the AI initially had no answer.

Sopa (the Spanish for "soup") is a game about a young boy who goes to fetch a potato for his grandma, then stumbles upon a magical world at the back of the food cupboard. "The pantry seems to get longer and longer," explains creative director Juan Castañeda. "And when you're about to grab the sack of potatoes, you get pulled into this other world of fantasy and magical realism. So you go on all these adventures, and meet all these different characters, but at the end of the day, you're really just trying to get that potato for your grandma's soup." As video game quests go, this is fabulously mundane and makes a refreshing change from rescuing princesses in castles and saving lands in peril.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Tamales are one of the hottest topics in the American food scene -- proving that food-on-the-run paired with great flavor never goes out of style. Social conversations about tamales exploded 47% over the past year, according to Tastewise, a new platform that uses artificial intelligence to find food trends by tracking social media, restaurant menus and digital content. The platform found that about 34,000 eateries in the United States serve tamales: a corn dough wrap called masa, filled with any of an array of meats, vegetables and spices, then steamed inside corn husks or banana leaves.

The blind application of machine learning runs the risk of amplifying biases present in data. Such a danger is facing us with word embedding, a popular framework to represent text data as vectors which has been used in many machine learning and natural language processing tasks. We show that even word embeddings trained on Google News articles exhibit female/male gender stereotypes to a disturbing extent. This raises concerns because their widespread use, as we describe, often tends to amplify these biases. Geometrically, gender bias is first shown to be captured by a direction in the word embedding. Second, gender neutral words are shown to be linearly separable from gender definition words in the word embedding. Using these properties, we provide a methodology for modifying an embedding to remove gender stereotypes, such as the association between the words receptionist and female, while maintaining desired associations such as between the words queen and female. Using crowd-worker evaluation as well as standard benchmarks, we empirically demonstrate that our algorithms significantly reduce gender bias in embeddings while preserving the its useful properties such as the ability to cluster related concepts and to solve analogy tasks. The resulting embeddings can be used in applications without amplifying gender bias.

In the blissful summer that Hemesh Chadalavada spent with his grandmother in 2018, the pair watched endless movies and ate her chicken biryani. Late one evening, as Chadalavada, then 12, sat on his own in front of the television, Jayasree got up in her nightdress and went to make tea at her home in Guntur, southern India. After she had returned to her bedroom, Chadalavada went into the kitchen to find that his grandmother, then 63, had left the gas on. "She had recently been diagnosed with Alzheimer's but I was still in shock. What would have happened if I hadn't been there?" says Chadalavada.

We propose a research paradigm that bases AI Alignment research seeks to align human and AI moral reasoning in neuroscience and attempts to goals to ensure independent actions by a machine build algorithms from observations of empathetic are always ethical. This paper argues empathy is thinking. We suggest some interesting methods for necessary for this task, despite being often neglected further research from this framework, drawing upon in favor of more deductive approaches. We offer an recent machine learning approaches for representing inside-out approach that grounds morality within empathy and ethics in machines. We outline the the context of the brain as a basis for algorithmically problem and frame the discussion in the first few understanding ethics and empathy.

Dialogue-based Role Playing Games (RPGs) require powerful storytelling. The narratives of these may take years to write and typically involve a large creative team. In this work, we demonstrate the potential of large generative text models to assist this process. \textbf{GRIM}, a prototype \textbf{GR}aph-based \textbf{I}nteractive narrative visualization system for ga\textbf{M}es, generates a rich narrative graph with branching storylines that match a high-level narrative description and constraints provided by the designer. Game designers can interactively edit the graph by automatically generating new sub-graphs that fit the edits within the original narrative and constraints. We illustrate the use of \textbf{GRIM} in conjunction with GPT-4, generating branching narratives for four well-known stories with different contextual constraints.

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on'America's Newsroom.' AI, ChatGPT and the like are coming for our jobs and will destroy our way of life, the doomsayers tell us. The mood is utterly different in health care, where cutting-edge physicians recognize the potential of AI to add decades to our lives and to fix the catastrophic "sick care" system, not just in the United States, but around the world. My life expectancy – and yours – is only going up, thanks to AI. Here's how and why. With the democratization of precision medicine, society will shift from a mentality that says, "I'm sick and I need treatment" to "I'm healthy and I want to stay that way." (iStock) We don't really have a health care system.