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.

Microsoft is taking its integration of AI tools one step further with the rollout of Bing Image Creator. The new AI-powered image creation tool can create images from a text prompt and harnesses OpenAI's impressive DALL-E model to bring your words to life (well, still life). Better still, Microsoft Bing Image Creator is free to use, meaning you can create completely new, AI-generated images from scratch with almost zero limitations. The Official Microsoft Blog revealed the launch of Bing Image Creator on 21 March 2023, and it is the next step in Microsoft's plans for generative AI content following the launch of its Bing AI Chat. Bing AI Chat uses OpenAI's GPT-4 model to power its responses. But Bing Image Creator uses another of OpenAI's powerful array of artificial intelligence models, DALL-E, to turn text prompts into images.

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."

The latest breakthroughs in artificial intelligence (AI) build on deep neural networks, a specific type of AI system. Today, their applications are known to the general public in several areas, in particular, the so-called large language models capable of producing human-resembling text and conversations (ChatGPT, Bing AI, Bard) and the text-to-image generative models which can produce striking images from a text captions (DALL-E 2, Imagen, Stable Diffusion, Midjourney), as well as others connected to the recognition, production and translation of speech and sound. What is behind the success of these techniques? The domains in which those successes happened are not haphazard or random, but rather perfectly suited for the strengths of neural networks as they exist today. Indeed, neural networks are proficient at emulating complex actions, even when they are difficult to define in precise terms, as long as we can feed them enormous amounts of examples to learn from.

OpenAI, the company behind the popular chatbot ChatGPT, has crunched the numbers on different jobs' exposure to artificial intelligence (AI) - and those numbers are eye-opening. Using its latest machine learning language model (LLM), the recently released GPT-4, as well as human expertise, researchers investigated the potential implications of language models on occupations within the US job market. While the researchers stress the paper is not a prediction, they found around 80 per cent of the US workforce could have at least 10 per cent of their work tasks affected by GPTs, or Generative Pre-trained Transformers. Around 19 per cent of workers meanwhile could see at least 50 per cent of their tasks impacted. The paper, which was authored by researchers from OpenAI, OpenResearch, and the University of Pennsylvania, examines the "exposure" of work tasks to AI - "without distinguishing between labour-augmenting or labour-displacing effects".

ChatGPT's AI has one big problem: It was only programmed with information up to a few years ago. By adding web-browsing capabilities with its partner, Microsoft, OpenAI has brought ChatGPT up to date. OpenAI's major update to ChatGPT actually added three significant features: its newfound ability to browse the web, new plugin capabilities, and a sandbox in which it can execute and test code. The latter feature means that you'll actually see graphics in ChatGPT output, though what was shown was (for now) simple line graphs and charts, as well as some image manipulation. A fourth feature, a retrieval plugin, also means that developers can begin asking ChatGPT to incorporate documents of the developer's choosing, in the future.

Are you looking to create a ChatGPT chatbot with Laravel? We have compiled a comprehensive guide to help you create a powerful and effective chatbot to help you engage with your customers, answer their questions, and increase your sales. Before we start, let's first discuss ChatGPT-4 and why it is an excellent tool for building chatbots. ChatGPT-4 is a state-of-the-art language model developed by OpenAI that can generate human-like responses to text-based prompts. This means you can use ChatGPT to build chatbots that can understand natural language and provide personalized responses to your customers.

Artificial intelligence (AI) tools have long been present in the background of many services, but they are now becoming more powerful and visible across a wide range of workplace tools. Microsoft and Google have recently unveiled new AI-powered features for their signature productivity tools, and OpenAI introduced the next-generation version of the technology that underpins its viral chatbot tool, ChatGPT. In just a few months, users will be able to ask a virtual assistant to transcribe meeting notes during a work call, summarise long email threads to quickly draft suggested replies, quickly create a specific chart in Excel, and turn a Word document into a PowerPoint presentation in seconds. AI can make people more productive and eliminate the grunt work, and tech companies are pitching these tools to boost productivity and unlock a new wave of productivity growth. However, the sheer number of new options hitting the market is dizzying and raises questions of whether they will live up to the hype or cause unintended consequences, including enabling cheating and eliminating the need for certain roles (though that may be the intent of some adopters).

March 21 (Reuters) - Alphabet Inc's (GOOGL.O) Google on Tuesday began the public release of its chatbot Bard, seeking users and feedback to gain ground on Microsoft Corp (MSFT.O) in a fast-moving race on artificial intelligence technology. Starting in the U.S. and UK, consumers can join a waiting list for English-language access to Bard, a program previously open to approved testers only. Google describes Bard as an experiment allowing collaboration with generative AI, technology that relies on past data to create rather than identify content. The release last year of ChatGPT, a chatbot from the Microsoft-backed startup OpenAI, has caused a sprint in the technology sector to put AI into more users' hands. The hope is to reshape how people work and win business in the process.