NEW YORK, United States -ChatGPT, Silicon Valley's latest app sensation, has investors rushing to find the next big thing in generative AI, the technology that some hail as the beginning of a new era in big tech. Artificial intelligence (AI) has been increasingly present in everyday life for decades, but the November launch of the conversational robot from start-up OpenAI marked a turning point in its perception by the general public and investors. "Every so often we have platforms that come along and result in an explosion of new companies. We saw this with the internet and mobile, and AI could be the next platform." Generative AI, of which ChatGPT is an example, wades through oceans of data to conjure up original content – an image, a poem, a thousand-word essay – in seconds and upon a simple request. Since its discrete release in late November, ChatGPT has become one of the fastest growing apps ever and pushed Microsoft and Google to rush out projects that had until now stayed carefully guarded over fears that the technology wasn't yet ready for the public.

ChatGPT has been a hot topic in recent months, as people speculate if it will put some people out of work or replace search engines in a matter of time. While this AI is certainly fun and useful, it's still a ways away from completely revolutionizing the way we use the internet. Still, there's no time like the present to get up to speed on new technologies, especially when we're offering The Complete ChatGPT Artificial Intelligence OpenAI Training Bundle for a special Presidents' Day price. This beginner-friendly bundle includes four courses covering the basics of ChatGPT, AI, and chatbots. You'll learn how to write effective ChatGPT prompts to discover information, build plot points for fictional work, craft powerful marketing copy, and more.

Amesite, a leading artificial intelligence software company offering a cloud-based learning platform that delivers 99% learner retention for business and education markets, announced an expansion of platform capabilities . Amesite is now delivering features leveraging GPT-3, the engine for ChatGPT, on its learning platform, to complement its existing AI capabilities. Amesite's V5 Customers now have the option to offer learners an AI-assist in explaining challenging concepts and drafting materials, 24/7. An enhanced toolkit will become available on April 2, 2023, with the rollout of Amesite's V6 platform. AI is expected to contribute $15.7T to the global economy by 2030, with the AI software market expected to grow to $1.09T by 2032.

As companies such as Alphabet (GOOG, GOOGL) and Microsoft (MSFT) tussle to make the best artificial intelligence technology, one expert questioned whether they are going about it in the right way. "Alan Turing famously proposed that the test for intelligence, what we later called the Turing Test, was'how similar can an AI be to a human?' Trying to mimic humans has been kind of a goal of a lot of computer scientists ever since," Stanford Digital Economy Lab Director Erik Brynjolfsson said on Yahoo Finance Live (video above). "Can we fool humans so you can't tell the difference?" he continued. "I think it's a very evocative goal, but it's also a trap. The reason it's a trap is that if we make AI that mimics humans, it actually destroys the value of human labor and it leads to more concentration of wealth and power."

So much has changed in the past year, it can feel like everything is ripe for disruption, but in spite of the most disruptive year in tech I have ever seen, the biggest surprise for me on this year's list is how little the framework ecosystem has changed. There are lots of new players on the board (shout out to SolidJS) but the big winners from last year still dominate this year and don't seem to be giving up much if any ground in the job market, yet (see below for data-backed evidence). When I conducted my first video interview with GPT-3 in 2020, few people believed that it actually understood anything, let alone that it could produce useful code. Fast forward to today -- every developer is already at a huge disadvantage if they're not using an AI tool like Copilot or reviewing their code for issues, bugs, and suggestions with ChatGPT. GitHub ran a test to discover the impact of AI development tools on developer productivity (specifically, GitHub Copilot), and what they found was very interesting.

Technology experts have encouraged travel firms to embrace rapidly-evolving artificial intelligence technology – and are confident the rise of services such as ChatGPT does not signal the end of the traditional agent. ChatGPT, an "AI-powered chatbot" capable of giving complex human-like answers to questions asked in "native language", has seen a meteoric rise in users prompted by Microsoft integrating it into its Bing search engine. Some analysts believe the tool, along with rivals like Bard which was unveiled by Google last week, could cause major disruption to sectors including service industries such as travel. However, travel technology specialists likened the concerns to those voiced in the early days of the internet, when it was claimed the emergent technology would negate the need for human interaction. Jon Pickles, chief revenue officer of Inspiretec, said: "ChatGPT only knows what it knows. Its ability to learn fast and assimilate vast quantities of information is something not to be afraid of. "We should perhaps even consider it an opportunity.

A human player has comprehensively defeated a top-ranked AI system at the board game Go, in a surprise reversal of the 2016 computer victory that was seen as a milestone in the rise of artificial intelligence. Kellin Pelrine, an American player who is one level below the top amateur ranking, beat the machine by taking advantage of a previously unknown flaw that had been identified by another computer. But the head-to-head confrontation in which he won 14 of 15 games was undertaken without direct computer support. The triumph, which has not previously been reported, highlighted a weakness in the best Go computer programs that is shared by most of today's widely used AI systems, including the ChatGPT chatbot created by San Francisco-based OpenAI. The tactics that put a human back on top on the Go board were suggested by a computer program that had probed the AI systems looking for weaknesses.

Linguistic ambiguity is and has always been one of the main challenges in Natural Language Processing (NLP) systems. Modern Transformer architectures like BERT, T5 or more recently InstructGPT have achieved some impressive improvements in many NLP fields, but there is still plenty of work to do. Motivated by the uproar caused by ChatGPT, in this paper we provide an introduction to linguistic ambiguity, its varieties and their relevance in modern NLP, and perform an extensive empiric analysis. ChatGPT strengths and weaknesses are revealed, as well as strategies to get the most of this model.

Zero-shot information extraction (IE) aims to build IE systems from the unannotated text. It is challenging due to involving little human intervention. Challenging but worthwhile, zero-shot IE reduces the time and effort that data labeling takes. Recent efforts on large language models (LLMs, e.g., GPT-3, ChatGPT) show promising performance on zero-shot settings, thus inspiring us to explore prompt-based methods. In this work, we ask whether strong IE models can be constructed by directly prompting LLMs. Specifically, we transform the zero-shot IE task into a multi-turn question-answering problem with a two-stage framework (ChatIE). With the power of ChatGPT, we extensively evaluate our framework on three IE tasks: entity-relation triple extract, named entity recognition, and event extraction. Empirical results on six datasets across two languages show that ChatIE achieves impressive performance and even surpasses some full-shot models on several datasets (e.g., NYT11-HRL). We believe that our work could shed light on building IE models with limited resources.

ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022. However, little hard evidence is available regarding its perception in various sources. In this paper, we analyze over 300,000 tweets and more than 150 scientific papers to investigate how ChatGPT is perceived and discussed. Our findings show that ChatGPT is generally viewed as of high quality, with positive sentiment and emotions of joy dominating in social media. Its perception has slightly decreased since its debut, however, with joy decreasing and (negative) surprise on the rise, and it is perceived more negatively in languages other than English. In recent scientific papers, ChatGPT is characterized as a great opportunity across various fields including the medical domain, but also as a threat concerning ethics and receives mixed assessments for education. Our comprehensive meta-analysis of ChatGPT's current perception after 2.5 months since its release can contribute to shaping the public debate and informing its future development. We make our data available.