Dr. Robert Marks is a professor at Baylor University. He warns the general public against accepting too much "hype" when it comes to artificial intelligence. According to an expert on artificial intelligence (AI), the biggest threats from the emerging technology include the United States military falling behind other countries, as well as unreliable "woke" bias in Chat GPS. However, Robert J. Marks II, PhD, a professor at Baylor University, hit back against sci-fi warnings of sentient machines and reassured Americans that they won't become "pets" to an all-controlling technology. In an interview with Fox News Digital, Marks, the Director of the Walter Bradley Center for Natural & Artificial Intelligence, suggested that the culture gets a lot wrong about the technology.

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. The conversation around large language models (LLM) is becoming more polarized with the release of advanced models such as ChatGPT. To clear out the confusion, we need a different framework to think about LLMs, argue researchers at the University of Texas at Austin and Massachusetts Institute of Technology (MIT). In a paper titled "Dissociating language and thought in large language models: a cognitive perspective," the researchers argue that to understand the power and limits of LLMs, we must separate "formal" from "functional" linguistic competence. LLMs have made impressive advances on the former, but still have a lot of work to do on the latter, the researchers say.

The CEO behind the company that created ChatGPT believes artificial intelligence technology will reshape society as we know it. He believes it comes with real dangers, but can also be "the greatest technology humanity has yet developed" to drastically improve our lives. "We've got to be careful here," said Sam Altman, CEO of OpenAI. "I think people should be happy that we are a little bit scared of this." Altman sat down for an exclusive interview with ABC News' chief business, technology and economics correspondent Rebecca Jarvis to talk about the rollout of GPT-4 -- the latest iteration of the AI language model.

Much of 2023 so far has been dominated by the accelerated adoption of generative Artificial Intelligence. Starting with research organisation OpenAI's ChatGPT platform, the first three months of this year has seen several such AI chatbot platforms being launched by the tech giants – ranging from Microsoft, Google, Meta, China's Baidu, as well as a plethora of other tech companies across the world. As per a report by Comscore, OpenAI registered more than 1 million actions on social media in January 2023 – double the number it had generated in the entire fourth quarter of 2022. For ChatGPT, the numbers are even higher, with 9.2 million actions in January 2023, a 330% increase compared to Q4 2022. OpenAI has just released its latest offering, GPT-4, on March 14, 2023 to scale up deep learning.

There has been little written about the cost of a search on the environment -- and even less about the cost of a search query through AI-powered chatbots. Initial fears of high costs were sparked when Alphabet Chairman John Hennessy told Reuters that "having an exchange with AI known as a large language model likely cost 10 times more than a standard keyword search, though fine-tuning will help reduce the expense quickly." Analysts at UBS, after talking with other search and AI experts in the industry, have seen evidence in recent weeks that costs are coming down rapidly, including OpenAI stating that it had managed to reduce costs for ChatGPT by 90% over December through March. It turns out that for every search query Google triggers its AI chatbot Bard on, UBS' estimates Alphabet will incur $0.003 to $0.028 in incremental costs on top of its base search cost of $0.003 per query. "We expect Bard to trigger on 10-20% of queries, based on GOOG's comments that it intends to use Bard to answer'Not Only Right Answer' questions and close to the current trigger rate on Featured Snippets - a proxy to a chat-like response box," UBS analysts wrote.

OpenAI launched its brand new multimodal language model GPT-4 this week, just four months after releasing the first version to the public. ChatGPT has taken the tech world by storm with its ability to generate everything from song lyrics to the answers of a U.S. medical licensing exam in response to a user's written query. But it's not without its problems, with the initial version having received backlash for making a series of factual errors and nonsensical answers or "hallucinations." In one such case, the chatbot even asked a tech journalist to leave his wife. So, what does AI mean for the future?

Following this week's release of GPT-4, OpenAI's new multimodal model accepting image and text inputs rather than ChatGPT's text-only prompts, people on social media have been marveling about the new engine's results in performing a variety of tasks, such as creating a working website based on a simple sketch, outperforming humans in a variety of standardized tests or writing code. But as people are only beginning to understand the capabilities (and limitations) of artificial intelligence models such as ChatGPT and now GPT-4, there's also growing concern over what the rapid advancements in AI could ultimately lead to. "GPT-4 is exciting and scary," New York Times columnist Kevin Roose wrote, adding that there two kinds of risks involved in AI systems: the good ones, i.e. the ones we anticipate, plan for and try to prevent and the bad ones, i.e. the ones we cannot anticipate. "The more time I spend with AI systems like GPT-4," Roose writes, "the less I'm convinced that we know half of what's coming." According to Ipsos Global Advisor's 2023 Predictions, many people seem to share Roose's reservations with regard to artificial intelligence.

OpenAI is an artificial intelligence research laboratory consisting of a team of researchers, engineers, and entrepreneurs working towards creating safe and beneficial AI. It was founded in 2015 by a group of entrepreneurs and researchers, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and Wojciech Zaremba. OpenAI conducts research in various fields of AI, including machine learning, natural language processing, robotics, and computer vision, and is also involved in developing AI technologies and applications that can benefit humanity. The organization aims to develop AI in a way that is safe, ethical, and beneficial for all, and promotes collaboration and open access to AI research and tools. Overall, OpenAI has been at the forefront of AI research and development, and has made significant contributions to the field.

Lately it seems conversations about artificial intelligence (AI) are everywhere. There are constant discussions on the potential for popular AI chatbot ChatGPT, developed by OpenAI, to take over jobs ranging from media to analysts to the tech industry, and maybe even malicious phishing attacks. But can AI really replace humans? That's what recent research from Hoxhunt, a cybersecurity behavior change software company, hoped to explore by analyzing the effectiveness of ChatGPT-generated phishing attacks. The study analyzed more than 53,000 email users and compared the win-rate on simulated phishing attacks created by human social engineers and those created by AI large language models.

Enlarge (credit: Anthropic) On Tuesday, Anthropic introduced Claude, a large language model (LLM) that can generate text, write code, and function as an AI assistant similar to ChatGPT.