The introduction of ChatGPT has put Artificial Intelligence (AI) Natural Language Processing (NLP) in the spotlight. ChatGPT adoption has been exponential with millions of users experimenting with it in a myriad of tasks and application domains with impressive results. However, ChatGPT has limitations and suffers hallucinations, for example producing answers that look plausible but they are completely wrong. Evaluating the performance of ChatGPT and similar AI tools is a complex issue that is being explored from different perspectives. In this work, we contribute to those efforts with ChatWords, an automated test system, to evaluate ChatGPT knowledge of an arbitrary set of words. ChatWords is designed to be extensible, easy to use, and adaptable to evaluate also other NLP AI tools. ChatWords is publicly available and its main goal is to facilitate research on the lexical knowledge of AI tools. The benefits of ChatWords are illustrated with two case studies: evaluating the knowledge that ChatGPT has of the Spanish lexicon (taken from the official dictionary of the "Real Academia Espa\~nola") and of the words that appear in the Quixote, the well-known novel written by Miguel de Cervantes. The results show that ChatGPT is only able to recognize approximately 80% of the words in the dictionary and 90% of the words in the Quixote, in some cases with an incorrect meaning. The implications of the lexical knowledge of NLP AI tools and potential applications of ChatWords are also discussed providing directions for further work on the study of the lexical knowledge of AI tools.

Visuals can enhance our experience of music, owing to the way they can amplify the emotions and messages conveyed within it. However, creating music visualization is a complex, time-consuming, and resource-intensive process. We introduce Generative Disco, a generative AI system that helps generate music visualizations with large language models and text-to-video generation. The system helps users visualize music in intervals by finding prompts to describe the images that intervals start and end on and interpolating between them to the beat of the music. We introduce design patterns for improving these generated videos: transitions, which express shifts in color, time, subject, or style, and holds, which help focus the video on subjects. A study with professionals showed that transitions and holds were a highly expressive framework that enabled them to build coherent visual narratives. We conclude on the generalizability of these patterns and the potential of generated video for creative professionals.

Meta's announcement came on the same day as rival OpenAI, the Microsoft-backed creator of ChatGPT, confirmed its chatbot can now browse the internet to provide users with current information. The artificial intelligence-powered system was previously trained only using data up to September 2021.

Ironically, when ChatGPT debuted last November and basically broke the internet for a few days, the AI itself wasn't informed. In fact, its entire knowledge base stopped abruptly in September, 2021 because that was the most recent data the system was initially trained on. Wednesday, OpenAI announced that ChatGPT will now be able to answer even the most modern of queries as the generative AI assistant can now look up information, in real-time. ChatGPT can now browse the internet to provide you with current and authoritative information, complete with direct links to sources. It is no longer limited to data before September 2021.

Meta is introducing a virtual assistant today to compete with OpenAI's ChatGPT that can serve up answers to questions from Microsoft's Bing search engine and generate images from text commands. Meta AI, as the assistant is called, is powered by the company's large language model Llama 2. As well as chatting it can generate images, using a new image generator named Emu that Meta trained on 1.1 billion pairs of photos and text, including photos and captions shared on Facebook or Instagram. The new assistant will be available today for a limited group of US users on Facebook Messenger, Instagram, and WhatsApp. It can be added to group chats and help out with tasks such as making travel plans. The assistant will also be available via voice using new smart glasses Meta will release next month for US users.

Meta is starting to make good on its promise to bring generative AI to all of its products. At the company's Connect event, it revealed new AI image editing and sticker-creation features for Instagram. A tool called "restyle" is a bit like a supercharged generative AI filter. It allows users to remix their existing photos into different looks. "Think of typing a descriptor like'watercolor' or a more detailed prompt like'collage from magazines and newspapers, torn edges' to describe the new look and feel of the image you want to create," the company explained.

OpenAI, Google, Microsoft, Amazon and Meta have been scrambling over each other to announce updates and new features to their generative AI products over the last several weeks. Many of the new tools are still making mistakes, showing the pressure the companies are under and their need to get people to use the tools to generate new data and improve their performance. OpenAI's latest announcement came on the same day that Meta announced a new chatbot of its own that could also search the web using Bing.

OpenAI is rolling out the ability to carry on conversations with a human-sounding robot on the ChatGPT app. ERA OF AI: AI tools are set to transform work, Goldman Sachs CIO says. Goldman Sachs Chief Information Officer Marco Argenti told FOX Business that AI is poised to transform workflows and boost productivity. AI JERRY: Dallas Cowboys give team owner an AI version of himself. AI-POWERED FRAUD: AI voice cloning scams targeting families are on the rise.

When The Atlantic revealed last month that tens of thousands of books published in the past 20 years had been used without permission to train Meta's AI language model, well-known authors were outraged, calling it a "smoking gun" for mega-corporate misbehavior. Now that the magazine has put out a searchable database of affected books, the outrage is redoubled: "I would never have consented for Meta to train AI on any of my books, let alone five of them," wrote the novelist Lauren Groff. The original Atlantic story gestured at this sense of violation and affront: "The future promised by AI is written with stolen words," it said. Still I was mystified, at first, by the Sturm und Drang response, and by the claim that generative AI is "powered by mass theft." Perhaps I was just jealous of the famous writers who were being singled out as victims--Stephen King, Zadie Smith, Michael Pollan, and others who command huge speaking fees and lucrative secondary-rights deals.

The Writers Guild of America (WGA) has voted to officially lift its strike order, over half a year since it stopped work and demanded a better contract with the Alliance of Motion Picture and Television Producers (AMPTP). Writers can officially go back to work after 12:01 AM PT on September 27, even though the organization has yet to hold the final ratification vote. WGA's decision comes shortly after it held a series of negotiation sessions with producers and reached a tentative agreement, with one of the key sticking points being the use of generative AI. Now, the WGA has released a summary of the terms of its new contract, and it prominently features protections against the use of generative AI in the writing process. To start with, generative AI can't be used to write or rewrite literary material, and anything it produces cannot be considered source material. Writers can choose to use AI if the company or studio consents to it, but studios can't force writers to use AI software like ChatGPT.