eSecurity Planetはこのほど、HYAS の研究者により、人工知能(AI: Artificial Intelligence)を利用して新たなマルウェア「BlackMamba」をその場で生成することができる概念実証(PoC: Proof of Concept)が公開されたと伝えた。このマルウェアはOpenAI の ChatGPTを用いて検出を回避する概念実証として機能するという。

How US adults feel about AI's reach

With its uncanny ability to hold a conversation, answer questions, and write coherent prose, poetry, and code, the chatbot ChatGPT has forced many people to rethink the potential of artificial intelligence. The startup that made ChatGPT, OpenAI, today announced a much-anticipated new version of the AI model at its core. The new algorithm, called GPT-4, follows GPT-3, a groundbreaking text-generation model that OpenAI announced in 2020, which was later adapted to create ChatGPT last year. The new model scores more highly on a range of tests designed to measure intelligence and knowledge in humans and machines, OpenAI says. It also makes fewer blunders and can respond to images as well as text.

OpenAI has this week released GPT-4, the latest version of its globally successful artificial intelligence (AI) chatbot series ChatGPT. Shortly after its release, the US tech lab confirmed that GPT-4 had already been powering Microsoft's Bing search engine for some time prior to its official launch. The Bill Gates-founded firm has already invested US$10b into OpenAI. OpenAI added that the fourth iteration of its GPT series will be able to respond to and interact with images by providing recipe suggestions from ingredient photos, alongside writing captions and descriptions. The hugely popular chatbot has seen phenomenal success since its launch in November last year, and has been used millions of times to produce poems, songs, marketing copy and even computer code.

OpenAI's new GPT-4 AI model has made its big debut and is already powering everything from a virtual volunteer for the visually impaired to an improved language learning bot in Duolingo. Here are the five biggest differences between these popular systems. Although ChatGPT was originally described as being GPT-3.5 (and therefore a few iterations beyond GPT-3), it is not itself a version of OpenAI's large language model, but rather a chat-based interface for whatever model powers it. The ChatGPT system that exploded in popularity over the last few months was a way to interact with GPT-3.5, and now it's a way to interact with GPT-4. With that said, let's get into the differences between the chatbot you know and love and its newly augmented successor.

The long-awaited follow-up to ChatGPT has gone live, boasting of "human-level performance" in university-standard exams. OpenAI said GPT-4, the next generation of its artificial intelligence-powered chatbot, marked a "milestone" in the development of deep learning, which imitates how humans gain knowledge. "We've spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails," the San Francisco-based company said in a blog post on Tuesday. OpenAI, which is backed by Microsoft, said the new version of its AI-powered chatbot is a "multimodal" model that can generate content from both images and text prompts. In an online demonstration, OpenAI President Greg Brockman showed GPT-4 creating a real website based on a hand-drawn mock-up.

Google Cloud is revolutionizing the way developers could be using generative AI for building new applications and platforms in the near future. The world's biggest AI company announced a new DevOps platform specifically built for accelerating and simplifying the generative AI development lifecycle. It's called PaLM API, a new AI developer offering to test and experiment with Google's Large Language Models (LLMs) and generative AI tools. To make prototyping quick and more accessible, developers can integrate PaLM API with another newly-launched tool called MakerSuite. Both tools are currently in private preview mode and would be accessible soon.

On March 15th, 2023, the world witnessed a monumental event in the history of artificial intelligence as OpenAI released its highly anticipated GPT-4 language model. The hype surrounding this new language model is well-deserved, as it boasts some impressive features and capabilities. OpenAI has released a powerful new image- and text-understanding AI model, GPT-4, that the company calls "the latest milestone in its effort in scaling up deep learning." According to a recent summary by a speaker, GPT-4 can understand both images and text, making it a powerful tool for a variety of applications. It is available for OpenAI's paying users through chatGPT Plus and developers can sign up on a waitlist to access the API at a reasonable price: GPT-4 -8K context window (about 13 pages of text) will cost $0.03

OpenAI unveiled GPT-4 today, its next-gen large language model that is the technical foundation for both ChatGPT and Microsoft's Bing AI chatbots. OpenAI announced the new GPT-4 upgrade on its blog this morning, and you can already try it out on ChatGPT, the AI chatbot that OpenAI has published to the web. It's also capped at 100 messages per every four hours.) Microsoft confirmed, too, that its latest version of its Bing Chat tool uses GPT-4 as its underpinnings. We've listed several major upgrades that GPT-4 offers, beginning with its biggest: It's not just about words any more.

A study by Stanford University computer scientists has found that developers using AI-powered assistants often produce buggier code. The paper, titled'Do Users Write More Insecure Code with AI Assistants?', examines developers' use of AI coding assistants like the controversial GitHub Copilot. "Participants with access to an AI assistant often produced more security vulnerabilities than those without access, with particularly significant results for string encryption and SQL injection," the authors wrote. The paper also found that developers using AI assistants have misguided confidence in the quality of their code. "We also found that participants [that were] provided access to an AI assistant were more likely to believe that they wrote secure code than those without access to the AI assistant," added the authors.