The exceptional ability of ChatGPT to engage in human-like conversations and generate outputs ranging from code to music has caused it to gain widespread popularity as an online phenomenon in recent months.However, despite the extensive discussions and attention the chatbot has received, people know relatively little about the individual who created it – Sam Altman, who is also a co-founder of OpenAI.Thus, even as ChatGPT continues to capture the public's imagination, the question of who Sam Altman is remains unanswered. Sam Altman, who is currently 37 years old, was born in 1985 in Chicago, Illinois. He spent his childhood in St. Louis, Missouri. When he was just eight years old, he got gift as Macintosh computer. He quickly learned to program and disassemble due to his precociousness and efficiency.

Senior Researcher Chris Dede isn't overly worried about growing concerns over generative artificial intelligence, like ChatGPT, in education. As a longtime researcher on emerging technologies, he's seen many decades where new technologies promised to upend the field. Instead, Dede says artificial intelligence requires educators to get smarter about how they teach in order to truly take advantage of what AI has to offer."The But if you educate them for what AI can't do, then you've got IA [Intelligence Augmentation]," he says. Dede, the associate director of research for the National AI Institute for Adult Learning and Online Education, says AI raises the bar and it has the power to significantly impact learning in powerful ways. In this episode of the Harvard EdCast, Dede talks about how the field of education needs to evolve and get smarter, in order to work with -- not against -- artificial intelligence. This is the Harvard EdCast. Chris Dede thinks we need to get smarter about using artificial intelligence and education. He has spent decades exploring emerging learning technologies as a Harvard researcher.

This is part 1 of a three-part article series covering the recent news on AI involving OpenAI, Microsoft, Google, ChatGPT, the New Bing, and Bard, and how the events will unfold into a new era for AI, search, and the web (I'll add here part 2 and part 3 once they're published). That's the best way to describe what the AI industry has lived since Monday. Google and Microsoft are at the hottest point in their long-term relationship and everything is because of ChatGPT. In a surprise event on Tuesday, Microsoft announced the New Bing, powered by a "next-generation" AI model by OpenAI, just one day after Google disclosed they will soon release a ChatGPT competitor named Bard, and one day before its official presentation. We're living through a paradigm change in the way companies do AI with OpenAI, Microsoft, and Google (among others) as the leading characters of what promises to be an epic play. AI has turned into a product-focused blooming landscape that keeps the foot on the gas pedal. Many predicted this outcome the very moment OpenAI released ChatGPT--which recently topped off a record-breaking ascent to being the "fastest-growing consumer application" ever. Even zooming out, these events--from ChatGPT's release on Nov 30 to Microsoft's and Google's announcements this week--reflect a salient milestone in the history of AI (even if not technically speaking, at least at every other level). The AI industry will be deeply marked by them for the foreseeable future. This is my attempt to frame the facts objectively and hypothesize on the impending future that's looming over us.

ChatGPT has become one of the most popular artificial intelligence (AI) platforms ever. In just two months since its launch, it had amassed more than 100 million users. And people have been using it for a variety of tasks from coding, finding research material for college assignments, generating content, getting recipes and more. Since ChatGPT has made its name for providing answers to people's tough queries, I decided to ask it one of the most difficult questions ever presented in modern civilization? If you too are looking for a date this Valentine's day, then take a look and it just might be able to give you some Valentine's Day inspiration.

Considering how far the tech industry has come, Microsoft Chief Executive Officer Satya Nadella feels, It is'showtime' for them. "The most exciting thing to happen in the industry, perhaps, is the coming of OpenAI's ChatGPT, an artificially intelligent chatbot," he told CNBC TV18 in an interview. Meanwhile, he also mentioned the current downturn being experienced by the tech industry is because the demand spurred by the COVID-19 pandemic has begun to cool down, and that, coupled with a recession in several parts of the world, has resulted in a "normalisation." Talking about the future of the industry, Nadella said, "I think the next phase -- if you say mobile and cloud was the last paradigm -- is going to be artificial intelligence (AI). And that's kind of going to happen in the next, I would say, two or three years. It will be more like I take it back to 2007-2008, which is when cloud and mobile became big. I think we are in that phase when it comes to AI."

Abstract-- Estimating terrain traversability in off-road environments requires reasoning about complex interaction dynamics between the robot and these terrains. However, it is challenging to create informative labels to learn a model in a supervised manner for these interactions. We propose a method that learns to predict traversability costmaps by combining exteroceptive environmental information with proprioceptive terrain interaction feedback in a self-supervised manner. Additionally, we propose a novel way of incorporating robot velocity into the costmap prediction pipeline. Yet, this abstracts away all the nuance of Outdoor, unstructured environments are challenging for the interactions between the robot and different terrain types. Rough interactions with terrain can result Under an occupancy-based paradigm, concrete, sand, and in a number of undesirable effects, such as rider discomfort, mud would be equally traversable, whereas tall rocks, grass, error in state estimation, or even failure of robot components. In reality, Unfortunately, it can be challenging to predict these interactions specific instances of a class may have varying degrees of a priori from exteroceptive information alone. Yet, what we are compliance of the objects on the ground, affect the dynamics really interested in capturing is roughness as the vehicle of the robot as it traverses over these features.

As a result, they are often brittle and unable to adapt to new domains, can treat individuals or subgroups unfairly, and have limited ability to explain their actions or recommendations [197, 235] reducing the trust of human users [118]. Following this, a new area of research, trustworthy AI, has recently received much attention from several policymakers and other regulatory organizations. The resulting guidelines (e.g., [184, 186, 187]), introduced to increase trust in AI systems, make developing trustworthy AI not only a technical (research) and social endeavor but also an organizational and (legal) obligational requirement. In this paper, we set out to demonstrate, through an extensive survey, that causal modeling and reasoning is an emerging and very useful tool for enabling current AI systems to become trustworthy. Causality is the science of reasoning about causes and effects. Cause-and-effect relationships are central to how we make sense of the world around us, how we act upon it, and how we respond to changes in our environment. In AI, research in causality was pioneered by the Turing award winner Judea Pearl long back in his 1995 seminal paper [194]. Since then, many researchers have contributed to the development of a solid mathematical basis for causality; see, for example, the books [79, 196, 201], the survey [90] and seminal papers [197, 235].

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered design process. To this end, a hypothetical design project was conducted, where ChatGPT was utilized to generate personas, simulate interviews with fictional users, create new design ideas, simulate usage scenarios and conversations between an imaginary prototype and fictional users, and lastly evaluate user experience. The results show that ChatGPT effectively performed the tasks assigned to it as a designer, user, or product, providing mostly appropriate responses. The study does, however, highlight some drawbacks such as forgotten information, partial responses, and a lack of output diversity. The paper explains the potential benefits and limitations of using conversational LLMs in design, discusses its implications, and suggests directions for future research in this rapidly evolving area.

Dom Toretto likes to keep it old school. At the premier for the "Fast X" trailer last week, Vin Diesel revealed part of the sequel's plot that will follow it and, allegedly, mark the end of the Fast and Furious franchise. During an interview with Variety, Diesel was asked who he would like to see star in the next film, and he took the opportunity to make a pitch for Robert Downey Jr. to join the crew. "Without telling you too much about what happens in the future, there's a character who is the antithesis of Dom who is promoting AI and driverless cars and a philosophy that with that goes your freedom," Diesel said. "There is somebody that believes that's the future, and that's at direct odds with the Toretto mentality."

Between Christmas and New Year's, my family took a six-hour drive to Vermont. I drove; my wife and two children sat in the back seat. Our children are five and two--too old to be hypnotized by a rattle or a fidget spinner, too young to entertain themselves--so a six-hour drive amounted to an hour of napping, an hour of free association and sing-alongs, and four hours of desperation. We offered the kids an episode of their favorite storytelling podcast, but they weren't in the mood for something prerecorded. They wanted us to invent a new story, on the spot, tailored to their interests.