Who knew artificial intelligence could be so entertaining? Case in point is ChatGPT, a free AI chatbot that has probably been all over your social feeds lately. "Who was George Washington Carver?" But it can get creative, too: "Write a movie script of a taco fighting a hot dog on the beach" generates a thrilling page of dialogue, humor and action worthy of YouTube, if not quite Netflix: Taco: "So you think you can take me, hot dog? You're nothing but a processed meat product with no flavor."

Former English teacher, Peter Laffin, predicts OpenAI's new artificial intelligence chatbot will lead to a learning crisis and force teachers to rethink education. The emergence of artificial intelligence chatbots that can complete students' assignments will lead to a crisis in learning, forcing educators to rethink schooling entirely, a former teacher said. "The introduction of new artificial intelligence technologies into schools that enables students to auto-generate essays has the capacity to blow up our entire writing education curriculum," Peter Laffin, founder of Crush the College Essay and writing coach, told Fox News. "It may make us have to rethink it from the ground up, and that might ultimately be a good thing." Last week, tech company OpenAI unveiled an AI chatbot, ChatGPT, which has stunned users with its advanced functions.

A few weeks ago, Wharton professor Ethan Mollick told his MBA students to play around with GPT, an artificial intelligence model, and see if the technology could write an essay based on one of the topics discussed in his course. The assignment was, admittedly, mostly a gimmick meant to illustrate the power of the technology. Still, the algorithmically generated essays -- although not perfect and a tad over-reliant on the passive voice -- were at least reasonable, Mollick recalled. They also passed another critical test: a screening by Turnitin, a popular anti-plagiarism software. AI, it seems, had suddenly gotten pretty good.

OpenAI has recently released their latest Artificial Intelligence (AI) chatbot prototype powered by a model from the GPT-3.5 series. It provides a service where you can ask questions and it comes back with a detailed answer in a conversational way. Almost as if you were talking to a human! ChatGPT is based on a trained model using Reinforcement Learning from Human Feedback which allows it to simulate conversation, answer follow-up questions and even admit to mistakes. Even though OpenAI's ChatGPT has recently taken the internet by storm, is it as good as it seems when it comes to dealing with a niche topic?

Despite the impact of psychiatric disorders on clinical health, early-stage diagnosis remains a challenge. Machine learning studies have shown that classifiers tend to be overly narrow in the diagnosis prediction task. The overlap between conditions leads to high heterogeneity among participants that is not adequately captured by classification models. To address this issue, normative approaches have surged as an alternative method. By using a generative model to learn the distribution of healthy brain data patterns, we can identify the presence of pathologies as deviations or outliers from the distribution learned by the model. In particular, deep generative models showed great results as normative models to identify neurological lesions in the brain. However, unlike most neurological lesions, psychiatric disorders present subtle changes widespread in several brain regions, making these alterations challenging to identify. In this work, we evaluate the performance of transformer-based normative models to detect subtle brain changes expressed in adolescents and young adults. We trained our model on 3D MRI scans of neurotypical individuals (N=1,765). Then, we obtained the likelihood of neurotypical controls and psychiatric patients with early-stage schizophrenia from an independent dataset (N=93) from the Human Connectome Project. Using the predicted likelihood of the scans as a proxy for a normative score, we obtained an AUROC of 0.82 when assessing the difference between controls and individuals with early-stage schizophrenia. Our approach surpassed recent normative methods based on brain age and Gaussian Process, showing the promising use of deep generative models to help in individualised analyses.

OpenAI recently released a model for automatic speech recognition called Whisper. I decided to reimplement the inference of the model from scratch using C/C . To achieve this I implemented a minimalistic tensor library in C and ported the high-level architecture of the model in C . The entire code is less than 8000 lines of code and is contained in just 2 source files without any third-party dependencies.

A new artificial intelligence chatbot could make it much easier for students to cheat on tests and homework that require written answers. Billed by technologists and industry watchers as the most powerful AI chatbot ever released, ChatGPT is the latest effort from OpenAI, a San Francisco-based company that also made tools like DALL-E 2, the image generator that made a splash earlier this year. ChatGPT, which has been trained on a gigantic sample of text from the internet, can understand human language, conduct conversations with humans and generate detailed text that many have said is human-like and quite impressive. 'We've trained a model called ChatGPT which interacts in a conversational way,' OpenAI said in a statement. 'The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.'

Stack Overflow, the popular discussion and answer source for programmers, has announced an official, though temporary, ban on responses produced by OpenAI's new ChatGPT chatbot. Moderators cited concerns about the accuracy of the AI's answers as the main reason for the new rule, though the standards may undergo revision after further investigation and debate. OpenAI highlights ChatGPT's ability to write, edit, and assist with coding on the chatbot's introductory page, and it's very easy to generate answers and coding templates with the tool. That simplicity doesn't mean the answers are accurate, however. The errors may be obvious or subtle, but users can't assume ChatGPT gets it right immediately.

As a critic of technology, I must say that the enthusiasm for ChatGPT, a large-language model trained by OpenAI, is misplaced. Although it may be impressive from a technical standpoint, the idea of relying on a machine to have conversations and generate responses raises serious concerns. First and foremost, ChatGPT lacks the ability to truly understand the complexity of human language and conversation. It is simply trained to generate words based on a given input, but it does not have the ability to truly comprehend the meaning behind those words. This means that any responses it generates are likely to be shallow and lacking in depth and insight. Furthermore, the reliance on ChatGPT for conversation raises ethical concerns.

The tool, from a power player in artificial intelligence, lets you type questions using natural language that the chatbot answers in conversational, if somewhat stilted, language. The bot remembers the thread of your dialog, using previous questions and answers to inform its next responses. The tool seems pretty knowledgeable if not omniscient -- it can be creative and its answers can sound downright authoritative. A few days after its launch, more than a million people are trying out ChatGPT. But its creator, the for-profit research lab called OpenAI, warns that ChatGPT "may occasionally generate incorrect or misleading information," so be careful.