Following the release the new GPT-4 engine and Whisper API in March, OpenAI announced Thursday that it has begun introducing plugins for ChatGPT. These will enable the chatbot to interact with 3rd-party APIs, tailoring its responses to specific circumstances as defined by the developers while expanding the bot's range of capable actions. Say you want to develop a chatbot that users can talk sports with. Before the latest GPT-4 upgrade, the chatbot would only be able to discuss games and scores that happened in the past, specifically in 2021 which is when GPT-3's training data was assembled. It wouldn't pull real-time data or even be aware that the year 2022 existed.

The emergence of effective natural language processing tools such as ChatGPT means it's time to begin understanding how to harden against AI-enabled cyberattacks. The natural language generation capabilities of large language models (LLMs) are a natural fit for one of cybercrime's most important attack vectors: phishing. Phishing relies on fooling people and the ability to generate effective language and other content at scale is a major tool in the hacker's kit. Fortunately, there are several good ways to mitigate this growing threat. A leader tasked with cybersecurity can get ahead of the game by understanding where we are in the story of machine learning (ML) as a hacking tool.

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Editor's note: The subsequent content is a contribution by Jack Castonguay, PhD, CPA, whose replacement by ChatGPT is yet unknown. Is he still in his position, or not? Did ChatGPT come to our time to solve the pipeline crisis in the accounting industry by employing robots and intelligent machines? I don't think so, but that doesn't mean it won't revolutionize our industry. The field of accounting relies heavily on strict rules and formulas, such as balancing assets with liabilities and equities, making sure debits match credits, and keeping track of cash flow.

OpenAI's viral AI-powered chatbot, ChatGPT, is the latest addition to the growing number of AI-powered solutions available to businesses and consumers. By connecting ChatGPT to the internet, OpenAI has opened up a world of possibilities for users to access web resources more quickly and accurately than ever before. In this article, we'll take a look at what ChatGPT is, the steps taken to connect it to the internet, the advantages of doing so, and potential challenges. ChatGPT is an AI-powered chatbot developed by OpenAI that is designed to converse like a human being. It uses natural language processing (NLP) and machine learning (ML) to understand and respond to user queries.

AI21 Labs, an Israeli generative AI company, today announced its latest large language model (LLM), called Jurassic-2. Up till now, the base model of AI21 Labs has been Jurassic-1, the largest version of which has 178 billion parameters. That made it among the largest LLMs on the market -- slightly bigger than OpenAI's 175B parameter GPT-3 davinci model. However, when I spoke this week to AI21 Labs co-founder and co-CEO, Ori Goshen, he was reluctant to tell me how large Jurassic-2 is. LLM size "plays a factor, but it's not the only factor," said Goshen. "So we've stopped referring to the size, because it can be misleading about the actual performance of the model."

Why it matters: ChatGPT is about to get a "brain" upgrade. A lack of information beyond September 2021 has long hindered the bot. OpenAI has plugins in development that will give it access to more current data and allow it to interact with websites through APIs. No date is set for a stable release, but OpenAi is already taking reservations to try it, so it shouldn't be too long before a wide release. OpenAI announced it is adding plugins to ChatGPT. The implementation will provide several capabilities to the chatbot and other developers using the algorithms.

I've been frequently sounding the alarm on the path that OpenAI has taken since it started its partnership with Microsoft. I've argued that the artificial intelligence lab has gradually swayed from pursuing science to creating profitable products for its main financial backer. OpenAI CEO Sam Altman put some of my doubts to rest this week with a blog post in which he laid out the lab's plan for artificial general intelligence (AGI). Regardless of where you stand on the AGI debate, the post includes some interesting points about how OpenAI plans to tackle the challenges of AI research and product development. And I think this is important because many other research labs will be facing similar challenges in the coming years.

Mozilla's new startup will build "trustworthy" AI that benefits humanity. If that sounds familiar, it was OpenAI's founding mission. "This new wave of AI has generated excitement, but also significant apprehension. We aren't just wondering'What's possible?' and'How can people benefit?' We're also wondering'What could go wrong?' and'How can we address it?' Two decades of social media, smartphones and their consequences have made us leery. Mozilla has been asking these questions about AI for a while now -- sketching out a vision for trustworthy AI, mobilizing our community to document what's broken and investing in startups that are trying to create more responsible AI."

Microsoft co-founder Bill Gates in his latest blog has spoken about a range of topics surrounding artificial intelligence (AI) including how the world can seek its benefits as well the challenges it poses for us. In his blog, posted on'Gates Notes' on Tuesday, the philanthropist asserted that AI is as revolutionary as mobile phones and the internet. Gates hailed the invention of ChatGPT – the buzz of the town these days – as the second revolutionary technological demonstration he had after being introduced to the graphical user interface in the 1980s. As stunned as he was after his first meeting with the GPT model, Gates said he was inspired to think about what AI could do in the next 10 years. The American business magnate believed AI could reduce some of the world's worst inequities, the worst he knows being health inequity.