Generative AI
DBOT: Artificial Intelligence for Systematic Long-Term Investing
DBOT can value any public traded company on the basis of Damodaran's analysis, and generates a report to support its position in an attempt to mimic its analytic parent. Until recently, such capabilities of analytic twins for financial valuation were not feasible. However, with advances in large language models (LLMs) and generative artificial intelligence (GenAI), it has become possible to conduct valuations that marry numbers and reasoning to generate credible valuations that can be used for long-term investing. The implications for automation and support of various parts of the valuation exercise are profound. In this paper, we provide a method for creating a digital analytic twin, DBOT, which is designed to mimic the investment analysis of individual companies by Damodaran. Since DBOT can value every company in an index such as the S&P500, it also provide an analysis in a macro sense, for example, by valuing the S&P500 market index relative to the valuation of its individual components. From the perspective of generative AI, DBOT presents a multitude of challenges. First and foremost, LLMs must be able to reason over financial texts, charts, tables, and spreadsheets. Furthermore, DBOT requires the AI system to follow Damodaran's
ChatGPT's Studio Ghibli-style images show its creative power – but raise new copyright problems
Social media has recently been flooded with images that look like they belong in a Studio Ghibli film. Selfies, family photos and even memes have been re-imagined with the soft pastel palette characteristic of the Japanese animation company founded by Hayao Miyazaki. The update significantly improved ChatGPT's image generation capabilities, allowing users to create convincing Ghibli-style images in mere seconds. It has been enormously popular – so much so, in fact, that the system crashed due to user demand. Generative artificial intelligence (AI) systems such as ChatGPT are best understood as "style engines".
Taiwan says China using AI to 'divide' the island with disinformation
China is using generative artificial intelligence (AI) to ramp up disinformation against Taiwan to "divide" Taiwan's public, the island's National Security Bureau said. Taiwan has accused China of stepping up military drills, trade sanctions and influence campaigns against the island in recent years to force the island to accept Chinese sovereignty claims. Taiwan strongly rejects China's sovereignty claims. China staged two days of war games and live-fire drills near the democratically governed island this month, triggering concern by the United States and many of its allies.
The AI Race Has Gotten Crowded--and China Is Closing In on the US
The year that ChatGPT went viral, only two US companies--OpenAI and Google--could boast truly cutting-edge artificial intelligence. Three years on, AI is no longer a two-horse race, nor is it purely an American one. A new report published today by Stanford University's Institute for Human-Centered AI (HAI) highlights just how crowded the field has become. OpenAI and Google are still neck and neck in the race to build bleeding-edge AI, the report shows. But several other companies are closing in.
Use OpenAI to find profitable stocks during the historic dip
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A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial Design
Tian, Jie, Sobczak, Martin Taylor, Patil, Dhanush, Hou, Jixin, Pang, Lin, Ramanathan, Arunachalam, Yang, Libin, Chen, Xianyan, Golan, Yuval, Zhai, Xiaoming, Sun, Hongyue, Song, Kenan, Wang, Xianqiao
Metamaterials, renowned for their exceptional mechanical, electromagnetic, and thermal properties, hold transformative potential across diverse applications, yet their design remains constrained by labor - intensive trial - and - error methods and limited data interoperability. Here, we introduce CrossMatAgent -- a novel multi - agent framework that synergistically integrates large language models with state - of - the - art generative AI to revolutionize metamaterial design. By orchestrating a hierarchical team of agents -- e ach specializing in tasks such as pattern analysis, architectural synthesis, prompt engineering, and supervisory feedback -- our system leverages the multimodal reasoning of GPT - 4o alongside the generative precision of DALL - E 3 and a fine - tuned Stable Diffusion Extra Large ( XL) model. This integrated approach automates data augmentation, enhances design fidelity, and produces simulation - and 3D printing - ready metamaterial patterns. Comprehensive evaluations, including Contrastive Language - Image Pre - training ( C LIP) - based alignment, SHAP ( SHapley Additive exPlanations) interpretability analyses, and mechanical simulations under varied load conditions, demonstrate the framework's ability to generate diverse, reproducible, and application - ready designs . CrossMatAgent thus establishes a scalable, AI - driven paradigm that bridges the gap between conceptual innovation and practical realization, paving the way for accelerated metamaterial development.
Amazon will use AI to generate recaps for book series on the Kindle
Amazon's new feature could make it easier to get into the latest release in a series, especially if it's been some time since you've read the previous books. The new Recaps feature is part of the latest software update for the Kindle, and the company compares it to "Previously on..." segments you can watch for TV shows. Amazon announced Recaps in a blog post, where it said that you can get access to it once you receive the software update over the air or after you download and install it from Amazon's website. Amazon didn't talk about the technology behind the feature in its post, but a spokesperson has confirmed to TechCrunch that the recaps will be AI generated. Shortly after the feature rolled out, users talked about it on social media, wondering if Amazon is using generative AI to write series summaries.
Fox News AI Newsletter: 'Battlestar Galactica' is 'even more relevant now,' star says
Tricia Helfer, who played a humanoid robot Cylon on "Battlestar Galactica," says the show's look at the conflict between humans and AI still resonates today. THE FUTURE IS NOW: "Battlestar Galactica" star Tricia Helfer feels the show was a prescient warning about artificial intelligence when it debuted more than 20 years ago. DEMOCRATIZING INTELLIGENCE: Compute Exchange CEO Simeon Bochev weighed in on the impact of computing power in artificial intelligence during an appearance on "Mornings with Maria." SIDE-FLIPPING ROBOT: Robots aren't just efficient machines anymore, they are now agile performers that can flip and jog. MAJOR INVESTMENT: ChatGPT creator OpenAI on Monday revealed it is getting up to 40 billion in new funding.
The Man Out to Prove How Dumb AI Still Is
They want to build AI models that achieve "artificial general intelligence," or AGI--matching or exceeding the capabilities of the human mind. The difference between these two men is that Altman has suggested that his company, OpenAI, has practically built the technology already. Chollet, a French computer scientist and one of the industry's sharpest skeptics, has said that notion is "absolutely clown shoes." When I spoke with him earlier this year, Chollet told me that AI companies have long been "intellectually lazy" in suggesting that their machines are on the path to a kind of supreme knowledge. At this point, those claims are based largely on the programs' ability to pass specific tests (such as the LSAT, Advanced Placement Biology, and even an introductory sommelier exam).
US authors' copyright lawsuits against OpenAI and Microsoft combined in New York with newspaper actions
A transfer order made by the US judicial panel on multidistrict litigation on Thursday said that centralisation will "allow a single judge to coordinate discovery, streamline pretrial proceedings, and eliminate inconsistent rulings". Cases brought in California by prominent authors including Ta-Nehisi Coates, Michael Chabon, Junot Díaz and the comedian Sarah Silverman will be transferred to New York and joined with cases brought by news outlets, including the New York Times, and other authors including John Grisham, George Saunders, Jonathan Franzen and Jodi Picoult. Most of the plaintiffs opposed consolidation, arguing that their cases were too different to be combined. OpenAI had proposed consolidating the cases in northern California. The judicial panel ultimately transferred the cases to the southern district of New York, stating that centralisation would "serve the convenience of the parties and witnesses" and "promote the just and efficient conduct of this litigation".