OpenAI's ChatGPT, the large language model (LLM)-based artificial intelligence (AI) text generator, can be seemingly used to generate code for malicious tasks, a research note by cyber security firm Check Point observed on Tuesday. Researchers at Check Point used ChatGPT and Codex, a fellow OpenAI natural language to code generator, used standard English instructions to create code that can be used to launch spear phishing attacks. The biggest issue with such AI code generators lie in the fact that the natural language processing (NLP) tools can lower the entry barrier for hackers with malicious intent. With the code generators not needing users to be well versed with coding, any user can collate the logical flow of information that is used in a malicious tool from the open web, and use the same logic to generate syntax for malicious tools. Demonstrating the issue, Check Point showcased how the AI code generator was used to create a basic code template for a phishing email scam, and apply subsequent instructions in plain English to keep improving the code.

This has been a wild year for AI. If you've spent much time online, you've probably bumped into images generated by AI systems like DALL-E 2 or Stable Diffusion, or jokes, essays, or other text written by ChatGPT, the latest incarnation of OpenAI's large language model GPT-3. Sometimes it's obvious when a picture or a piece of text has been created by an AI. But increasingly, the output these models generate can easily fool us into thinking it was made by a human. And large language models in particular are confident bullshitters: they create text that sounds correct but in fact may be full of falsehoods.

IN BRIEF The squishy brains behind OpenAI's artificial ones are predicting developments like the ChatGPT system will see money flooding in – with a forecast of earning around $1 billion by 2024. According to an investors' briefing document seen by Reuters the machine-learning biz expects to break $200 million in revenues next year and bust through the billion mark 12 months later. Founded by, among others, Elon Musk and Y Combinator's Sam Altman, the outfit is currently valued at around $20 billion. Part of the reason for such prognostications could be an increased role from Microsoft. Redmond took a $1 billion stake in OpenAI in 2019 and is reportedly looking to increase its investment, with a view to rolling OpenAI's tools like ChatGPT into the software giant's suite of tools for knowledge workers.

At Health Hero, our goal is to improve the digital healthcare experience for our users. To achieve this, we have recently integrated a range of advanced AI technologies, including natural language processing, predictive modeling, data analysis, and clinical decision support, into our platform. These technologies enable us to offer valuable services to companies, individuals, and health insurance providers. For companies, our AI-powered tools and systems can streamline health management processes, reduce costs, and improve the well-being of their employees. For individuals, our AI technologies can provide personalized health recommendations, assist with medication reminders and other tasks related to health management, and help detect potential health issues early on.

Welcome to the December 2022 edition of Baseline, Accenture Federal Services' monthly machine learning newsletter. In Baseline, we share insights on important advances in machine learning technologies likely to impact our federal customers. This edition is a special year-end roundup - our chance to highlight some of the most interesting and impactful advances that occurred in the machine learning space this year. These developments have pushed the boundaries of what is possible with machine learning and will continue to have far-reaching ramifications next year and beyond. We're excited to see what's next.

Have you tried OpenAI yet?  What has your experience been?  Sharing some background info, insights, questions and more in this latest episode. Stay tuned for a blog soon!  Also, check out my blog at www.Rdene915.com and submit a guest blog and sign up for my blog posts too. Thanks for listening! -…

Check out all the on-demand sessions from the Intelligent Security Summit here. It was my first week at VentureBeat, in mid-April. OpenAI had just released the new iteration of its text-to-image generator, DALL-E 2; our lead AI writer, Kyle Wiggers, had moved to TechCrunch before I could pick his brain; and I was panicking. I scrolled frantically through Twitter images of avocado chairs and astronauts riding horses on the moon, wondering what all the fuss was about. I had written about AI trends for over a decade, but it was at a sky-high level -- think tips for the C-suite. Now, I belatedly realized how little I understood about the past decade of progress in AI, from machine learning (ML) and computer vision to natural language processing (NLP).

ChatGPT, a new artificial intelligence (AI) tool from OpenAI, has caused much amazement and apprehension. An exemplar of generative AI, ChatGPT combines powerful text generation capabilities and state-of-art conversational AI, to startling effect. This is made possible by advances in AI such as language processing, transformer neural networks, and reinforcement learning. ChatGPT has been trained on datasets that have about 500 billion words of text. For comparison, the English language Wikipedia, one of the sources on which it has been trained, totals about 4 billion words.

Now, I belatedly realized how little I understood about the past decade of progress in artificial intelligence, from machine learning and computer …

If you are already here you have probably heard of the new model from OpenAI, ChatGPT. If not, in a nutshell, ChatGPT is a free language model that took the world by storm with its amazing responses and multi-domain knowledge.