OpenAI announced a new AI-powered search engine prototype called SearchGPT. It's described SearchGPT as "a temporary prototype of new AI search features that give you fast and timely answers with clear and relevant sources." The company plans to test out the product with 10,000 initial users, then roll it into ChatGPT after gathering feedback. It's a spicy time to launch AI-powered search engines. Last month, Perplexity faced criticism for summarizing stories from Forbes and Wired without adequate attribution or backlinks to the publications.

Video game performers with SAG-AFTRA will strike beginning Friday as AI "loopholes" have caused concerns. Beginning at 12:01 Friday morning, video game voice actors and motion capture performers under the Screen Actors Guild-American Federation of Television and Radio Artists will strike over artificial intelligence protections. This is the second strike for SAG-AFTRA performers in video games. While the union has conceded that wages and job safety have made gains in video game contracts, AI in interactive media continues to be a source of insecurity. TENS OF THOUSANDS OF GAMERS DESCEND ON LAS VEGAS FOR THE EVO TOURNAMENT SAG-AFTRA Chief Contracts Officer Ray Rodriguez shared at the presser on Thursday that some performers' work may be treated as "data" under current AI guidance.

Language model capabilities predictably improve from scaling a model's size and training data. Motivated by this, increasingly large language models have been trained, yielding an array of impressive capabilities. Yet these models are vulnerable to adversarial prompts, such as "jailbreaks" that hijack models to perform undesired behaviors, posing a significant risk of misuse. Prior work indicates that computer vision models become more robust with model and data scaling, raising the question: does language model robustness also improve with scale? We study this question empirically, finding that larger models respond substantially better to adversarial training, but there is little to no benefit from model scale in the absence of explicit defenses.

The development of large language models (LLMs), such as GPT, has enabled the construction of several socialbots, like ChatGPT, that are receiving a lot of attention for their ability to simulate a human conversation. However, the conversation is not guided by a goal and is hard to control. In addition, because LLMs rely more on pattern recognition than deductive reasoning, they can give confusing answers and have difficulty integrating multiple topics into a cohesive response. These limitations often lead the LLM to deviate from the main topic to keep the conversation interesting. We propose AutoCompanion, a socialbot that uses an LLM model to translate natural language into predicates (and vice versa) and employs commonsense reasoning based on Answer Set Programming (ASP) to hold a social conversation with a human. In particular, we rely on s(CASP), a goal-directed implementation of ASP as the backend. This paper presents the framework design and how an LLM is used to parse user messages and generate a response from the s(CASP) engine output. To validate our proposal, we describe (real) conversations in which the chatbot's goal is to keep the user entertained by talking about movies and books, and s(CASP) ensures (i) correctness of answers, (ii) coherence (and precision) during the conversation, which it dynamically regulates to achieve its specific purpose, and (iii) no deviation from the main topic.

Autonomous agents that address day-to-day digital tasks (e.g., ordering groceries for a household), must not only operate multiple apps (e.g., notes, messaging, shopping app) via APIs, but also generate rich code with complex control flow in an iterative manner based on their interaction with the environment. However, existing benchmarks for tool use are inadequate, as they only cover tasks that require a simple sequence of API calls. To remedy this gap, we built $\textbf{AppWorld Engine}$, a high-quality execution environment (60K lines of code) of 9 day-to-day apps operable via 457 APIs and populated with realistic digital activities simulating the lives of ~100 fictitious users. We then created $\textbf{AppWorld Benchmark}$ (40K lines of code), a suite of 750 natural, diverse, and challenging autonomous agent tasks requiring rich and interactive code generation. It supports robust programmatic evaluation with state-based unit tests, allowing for different ways of completing a task while also checking for unexpected changes, i.e., collateral damage. The state-of-the-art LLM, GPT-4o, solves only ~49% of our 'normal' tasks and ~30% of 'challenge' tasks, while other models solve at least 16% fewer. This highlights the benchmark's difficulty and AppWorld's potential to push the frontiers of interactive coding agents. The project website is available at https://appworld.dev/.

Whenever AI companies present a vision for the role of artificial intelligence in the future of searching the internet, they tend to underscore the same points: instantaneous summaries of relevant information; ready-made lists tailored to a searcher's needs. They tend not to point out that generative-AI models are prone to providing incorrect, and at times fully made-up, information--and yet it keeps happening. Early this afternoon, OpenAI, the maker of ChatGPT, announced a prototype AI tool that can search the web and answer questions, fittingly called SearchGPT. The launch is designed to hint at how AI will transform the ways in which people navigate the internet--except that, before users have had a chance to test the new program, it already appears error prone. The tool then pulls up a list of festivals that it states are taking place in Boone this August, the first being An Appalachian Summer Festival, which according to the tool is hosting a series of arts events from July 29 to August 16 of this year. Someone in Boone hoping to buy tickets to one of those concerts, however, would run into trouble.

Hollywood's video game performers voted to go on strike Thursday, throwing part of the entertainment industry into another work stoppage after talks for a new contract with major game studios broke down over artificial intelligence protections. The strike – the second for video game voice actors and motion capture performers under the Screen Actors Guild-American Federation of Television and Radio Artists (Sag-Aftra) – will begin at 12.01am Friday. The move comes after nearly two years of negotiations with gaming giants, including divisions of Activision, Warner Bros and Walt Disney Co, over a new interactive media agreement. Sag-Aftra negotiators say gains have been made over wages and job safety in the video game contract, but that the studios will not make a deal over the regulation of generative AI. Without guardrails, game companies could train AI to replicate an actor's voice, or create a digital replica of their likeness without consent or fair compensation, the union said.

OpenAI on Thursday announced a new AI-powered search engine prototype called SearchGPT. The move marks the company's entry into a competitive search engine market dominated by Google for decades. On its website, OpenAI described SearchGPT as "a temporary prototype of new AI search features that give you fast and timely answers with clear and relevant sources." The company plans to test out the product with 10,000 initial users and then roll it into ChatGPT after gathering feedback. The launch of SearchGPT comes amid growing competition in AI-powered search.

Technologies that use artificial intelligence (AI) have become ubiquitous. AI technologies have produced numerous economic and social benefits, such as rapidly and reliably assisting radiologists with accurate diagnostic interpretations of medical images. Many harms of AI have also been documented, such as racial biases in predictive models used in the criminal justice system, and gender discrimination in automated screening of job applications. Some AI technologies have exacerbated biases that disproportionately affect historically marginalized communities, such as LGBTQ populations and members of racial, ethnic, and religious minorities.4 Generative AI technologies are now widely available, and the potential harms are substantial: although anyone can use ChatGPT to draft messages and DALL-E to create artwork, others can use these tools to quickly produce deceptive news stories with specious images--misinformation that can spread quickly through social media.

Fox News correspondent CB Cotton reports that different agencies disagree on the events at the Trump rally shooting. Fox News drones provided a new perspective on the sight lines between Thomas Matthew Crooks, former President Trump and the Secret Service counter sniper teams at the fateful rally in Butler, Pennsylvania, on Thursday. Fox News correspondent CB Cotton also detailed the sight lines that Crooks had when firing on Trump. A drone recreation shows that Crooks was largely concealed from Secret Service counter snipers by a large tree, though he still had an angle on the former president. The Secret Service agent who neutralized Crooks was stationed on a building behind Trump.