new To come to grips with those questions, start with Anthropic. AWS bought into the startup, taking a minority stake with both sides able to raise the investment to as much as $4 billion, for two reasons. The obvious reason is that Anthropic will make AWS its primary cloud provider—bringing with it Claude, its foundation model (a vast digital network like the one that supports ChatGPT), and the AI assistant by the same name that comes with it. (Anthropic introduced Claude in March; Claude 2 debuted in July, and a faster, cheaper version called Claude Instant 1.2 was released in August.) Future versions of Claude will be available to AWS customers through a service called Bedrock, which offers access to many foundation models. AWS has built or acquired access to several such models, and it argues that its cybersecurity and range of services for those models exceed what OpenAI currently offers. Still, none of AWS’s models has shown the range or efficacy of OpenAI’s GPT-4—hence the “falling behind” narrative. — Fortune, 10h ago

new ...“This collaboration and release of the AI Risk Database can directly enable more organizations to see for themselves how they are directly at risk and vulnerable in deploying specific types of AI-enabled systems,” said Douglas Robbins, MITRE vice president, engineering and prototyping, in a statement. “As the latest open source tool under MITRE ATLAS, this capability will continue to inform risk assessment and mitigation priorities for organizations around the globe.”... — darkreading.com, 20h ago

new Be open about the use of AI and its direction. As in the case of Sports Illustrated or Microsoft’s MSN[3], companies should be more thoughtful and transparent about their use of AI. Since it was first published in August of 1954, Sports Illustrated has been the trusted source for sport news and analysis for almost 70 years. Is it worth putting all of that at risk with the unannounced use of AI to start writing articles?... — Healthcare Business Today, 1d ago

new The notion that artificial intelligence (AI) would exert dominance and control over mankind, which gained popularity via science fiction, continues to endure. Adhering to responsible practices in the creation and implementation process, along with the establishment of ethical frameworks, might effectively avert the occurrence of such dystopian situations. The function of AI should be in accordance with human values and the overall welfare of society. — techgig.com, 1d ago

new In a future where humans will use AI agents to improve their performance regarding creative skills, it is the most likely scenario when talking about complex tasks, at least for the current stage of the technology. — Montreal AI Ethics Institute, 1d ago

new Air Force Secretary Frank Kendall and Air Force Chief of Staff Gen. David Allvin are at the forefront of a strategic push to integrate artificial intelligence into the core of military operations. Kendall emphasizes the need to navigate the legal and ethical dimensions of AI use, focusing on accountability for AI-driven actions. Both leaders acknowledge the aggressive AI advancements by global adversaries, with China leading the charge. Gen. Allvin outlines the importance of human-machine teaming, highlighting the collaborative combat aircraft program as a key investment for optimizing performance and operational speed. — BitcoinEthereumNews.com, 1d ago

new The chatbot's ability to accurately interpret and contextually apply scientific information represents a significant advancement in AI technology. By integrating a curated set of scientific publications, Yager's AI model ensures that the chatbot's responses are not only relevant but also deeply rooted in the actual scientific discourse. This level of precision and reliability is what sets it apart from other general-purpose AI tools, making it a valuable asset in the scientific community for research and development. — unite.ai, 1d ago

new To come to grips with those questions, start with Anthropic. AWS bought into the startup, taking a minority stake and committing to eventually invest up to $4 billion, for two reasons. The obvious reason is that Anthropic will make AWS its primary cloud provider—bringing with it Claude, its foundation model (a vast digital network like the one that supports ChatGPT), and the AI assistant by the same name that comes with it. (Anthropic introduced Claude in March; Claude 2 debuted in July, and a faster, cheaper version called Claude Instant 1.2 was released in August.) Future versions of Claude will be available to AWS customers through a service called Bedrock, which offers access to many foundation models. AWS has built or acquired access to several such models, and it argues that its cybersecurity and range of services for those models exceed what OpenAI currently offers. Still, none of AWS’s models has shown the range or efficacy of OpenAI’s GPT-4—hence the “falling behind” narrative. — fortune.com, 1d ago

new When organizations put appropriate AI governance standards and frameworks in place, training data, algorithms, model infrastructure, and the AI models themselves can be more closely monitored and controlled throughout initial development, training and retraining, deployment, and daily use. This contributes to a more efficient AI operation as well as compliance with relevant data privacy and AI ethics regulations. — eWEEK, 2d ago

new Primarily in the form of ChatGPT, generative artificial intelligence (AI) and large language models (LLMs) entered the collective mind in 2023. In fact, Collins Dictionary recently named ‘AI’ as its Word of the Year, showing how far these burgeoning technologies have captured wider public interest. Experts expect generative AI to add a staggering £3.7 trillion in economic value from a combination of specific use cases in the coming years. However, the developments within AI are bound to have some adverse effects on cybersecurity, the beginnings of which we are already witnessing. Social engineering attacks will become easier and faster because (cyber)criminals no longer need deep technical know-how to execute them. Document forgery, especially digitally generated images of physical documents, is likely to become easier than ever before with accurate information harder to spot. To combat these AI-aided advances of cybercriminals, organisations will need to leverage AI themselves to stay one step ahead. — Financial IT, 2d ago

new Openfabric AI is a cutting-edge technology that combines blockchain and Artificial Intelligence (AI) to provide a revolutionary framework for AI-Apps. It helps to overcome the challenges faced by AI platforms and makes it easier for people to use AI applications. It also promotes fair competition and cooperation in the AI market. By using the OFN token, users can benefit from the security, transparency, and versatility of the Openfabric network. Openfabric AI is a game-changer for anyone who is interested in the AI frontier. — BitcoinEthereumNews.com, 2d ago

new There is growing evidence that artificial intelligence tools such as ChatGPT can make you more efficient and capable at work. Taken to its logical conclusion, smart use of AI at work could fast track you to promotion or more opportunities. — Business Insider, 2d ago

new Thursday was ChatGPT’s one-year anniversary. Since its debut, the tool’s rapid advancement has amplified discussion around artificial intelligence and how it should be both used and regulated. To highlight the seemingly endless possibilities of AI, we explored eight practical applications that anyone can use at work right now, whether you’re a business owner or a job seeker. — thomasnet.com, 2d ago

new ...“We see AI as an evolution of generative design. We’ve been investing in generative design for 10 years or more,” says Stephen Hooper, vice president of Design and Manufacturing at Autodesk. “One area that we think AI is particularly interesting is [for] interpreting natural language input. Whether it’s in simulation or CAM (computer-aided manufacturing), we see opportunities to use large language models to define complex problems, interpret them and then set them up.”... — Digital Engineering, 2d ago

new ROBERT CHAPMAN-SMITH: In the lead up to, you know, the release of some of OpenAI's models, there, there's been sort of like a speaking tour of folks in going to Washington talking to legislators about AI and there was a, the worry at that time was about regulatory capture. Like are they, are folks going to essentially gate the technology in such a way that smaller players are not gonna be able to play ball? And we've seen regulatory capture happen a lot within the political realm within Washington. But there's also this question of like effectiveness in terms of regulation. Like just because the regulation has passed doesn't mean it's actually a good regulation or if this body of Congress is actually able to regulate this fast-moving technology well, like they can't even pass a budget, like how are they gonna keep up with the pace of AI change? So I'm curious about that as a tool for dealing with AI safety because it in some sense it feels like one the the legislative body or processes or capable to be captured by interested parties and two, even when they do regulate sometimes they just do a poor job, they just miss the thing that is the key regulatory factor. So I'm curious about your conception there, and how to deal with some of the messiness that comes with those types of approaches to dealing with technological safety. — Big Think, 2d ago