San Francisco, 17 March 2023 (GNP): The next-generation AI language model GPT-4, which can read photographs and describe what's in them, was just released by OpenAI, according to a research blog post. The world has been captivated by Chat GPT-3, although the deep learning language model previously only took text inputs. GPT-4 will also accept visual cues. OpenAI issued a statement which read: "It generates text outputs given inputs consisting of interspersed text and images. Over a range of domains -- including documents with text and photographs, diagrams, or screenshots -- GPT-4 exhibits similar capabilities as it does on text-only inputs."

The advent of next-generation Artificial Intelligence(AI) is ushering in a new era of heightened productivity and efficiency. This is spurring novel breakthroughs in the supply chain domain. With AI's transformative influence, the conventional ways of operations managers collaborating with suppliers, vendors, and third-party service providers are being revamped to streamline the entire process. By collaborating with suppliers and utilizing state-of-the-art AI, Supply Chain managers can enhance supply chain performance and avert logistics disruptions triggered by diverse external factors. We're excited to launch Copilot in Microsoft Supply Chain Center, which harnesses generative AI to assist Supply Chain managers in real-time communication with suppliers regarding specific news.

On Tuesday, OpenAI announced GPT-4, a large multimodal model that can accept text and image inputs while returning text output that "exhibits human-level performance on various professional and academic benchmarks," according to OpenAI. Also on Tuesday, Microsoft announced that Bing Chat has been running on GPT-4 all along. If it performs as claimed, GPT-4 potentially represents the opening of a new era in artificial intelligence. "It passes a simulated bar exam with a score around the top 10% of test takers," writes OpenAI in its announcement. OpenAI plans to release GPT-4's text capability through ChatGPT and its commercial API, but with a waitlist at first.

Artificial Intelligence (AI) is one of the fastest-growing fields in technology, with researchers and developers working tirelessly to create ever more advanced machines. One of the most exciting developments in recent years has been the rise of generative AI, which has quickly captured the imagination of tech enthusiasts and industry experts alike. This new technology promises to revolutionize the way we interact with computers and has the potential to change many aspects of our lives. One of the most significant areas of development in generative AI has been the creation of AI chatbots. These chatbots are capable of answering questions, completing tasks, and even engaging in conversation with humans.

The asymmetry in time and effort it takes human artists to produce original art vs the speed generative AI models can now get the task done is one of the reasons why Glaze, an academic research project out of the University of Chicago, looks so interesting. It's just launched a free (non-commercial) app for artists (download link here) to combat the theft of their'artistic IP' -- scraped into data-sets to train AI tools designed to mimic visual style -- via the application of a high tech "cloaking" technique. A research paper published by the team explains the (beta) app works by adding almost imperceptible "perturbations" to each artwork it's applied to -- changes that are designed to interfere with AI models' ability to read data on artistic style -- and make it harder for generative AI technology to mimic the style of the artwork and its artist. Instead systems are tricked into outputting other public styles far removed from the original artwork. The efficacy of Glaze's style defence does vary, per its makers -- with some artistic styles better suited to being "cloaked" (and thus protected) from prying AIs than others. Other factors (like countermeasures) can affect its performance, too.

Generative AI applications and models like ChatGPT and GPT-4 alone won’t fulfill the promise of the AI revolution. The sci-fi future that many people anticipate accompanying the widespread adoption of AI depends on the success of predictive models. Self-driving cars, robotic attendants, personalized healthcare, and many other innovations hinge on perfecting “old school” AI.

Sam Altman, CEO of OpenAI, the company that developed the controversial consumer-facing artificial intelligence application ChatGPT, has warned that the technology comes with real dangers as it reshapes society. Altman, 37, stressed that regulators and society need to be involved with the technology to guard against potentially negative consequences for humanity. "We've got to be careful here," Altman told ABC News on Thursday, adding: "I think people should be happy that we are a little bit scared of this. "I'm particularly worried that these models could be used for large-scale disinformation," Altman said. "Now that they're getting better at writing computer code, [they] could be used for offensive cyber-attacks." But despite the dangers, he said, it could also be "the greatest technology humanity has yet developed". The warning came as OpenAI released the latest version of its language AI model, GPT-4, less than four months since the original version was released and became the fastest-growing consumer application in history. In the interview, the artificial intelligence engineer said that although the new version was "not perfect" it had scored 90% in the US on the bar exams and a near-perfect score on the high school SAT math test. It could also write computer code in most programming languages, he said. Fears over consumer-facing artificial intelligence, and artificial intelligence in general, focus on humans being replaced by machines. But Altman pointed out that AI only works under direction, or input, from humans. "It waits for someone to give it an input," he said. "This is a tool that is very much in human control." But he said he had concerns about which humans had input control. "There will be other people who don't put some of the safety limits that we put on," he added. "Society, I think, has a limited amount of time to figure out how to react to that, how to regulate that, how to handle it." Many users of ChatGPT have encountered a machine with responses that are defensive to the point of paranoid. In tests offered to the TV news outlet, GPT-4 performed a test in which it conjured up recipes from the contents of a fridge. The Tesla CEO, Elon Musk, one of the first investors in OpenAI when it was still a non-profit company, has repeatedly issued warnings that AI or AGI – artificial general intelligence – is more dangerous than a nuclear weapon. Musk voiced concern that Microsoft, which hosts ChatGPT on its Bing search engine, had disbanded its ethics oversight division. "There is no regulatory oversight of AI, which is a *major* problem.

Is imitation the sincerest form of flattery, or theft? Perhaps it comes down to the imitator. Text-to-image artificial intelligence systems such as DALL-E 2, Midjourney and Stable Diffusion are trained on huge amounts of image data from the web. As a result, they often generate outputs that resemble real artists' work and style. It's safe to say artists aren't impressed. To further complicate things, although intellectual property law guards against the misappropriation of individual works of art, this doesn't extend to emulating a person's style.

Google Cloud has announced the launch of its next generation of artificial intelligence (AI) for developers and businesses. The company has been investing in AI for several years, and it aims to make it accessible to everyone. With breakthroughs in generative AI, Google is at a pivotal moment in its AI journey. To make AI models accessible and scalable for developers and businesses, Google Cloud has introduced the PaLM API and MakerSuite, a new prototyping environment. The PaLM API provides an easy and safe way for developers to build on top of Google's best language models, while MakerSuite enables them to quickly prototype ideas.

The enterprise is about to get hit by the generative AI hype train, as Salesforce prepares to invest in startups developing what it calls "responsible generative AI." The cloud software giant, via its Salesforce Ventures VC off-shoot, today announced a $250 million generative AI investment fund, which it said has already invested in four startups: search engine upstart You.com, which introduced generative AI smarts a few months back; Anthropic, a heavily VC-backed AI startup from former employees of OpenAI, which developed ChatGPT; Cohere, a natural language processing (NLP) startup that recently partnered with Google; and a stealthy startup called Hearth.AI. In truth, Salesforce has had a busy day at its annual TrailblazerDX developer conference, announcing a generative AI pilot they're calling Einstein GPT, which brings ChatGPT-like features to the broader Salesforce platform. This includes a new ChatGPT app for Slack, promising conversation summaries and writing assistance directly inside the enterprise communications app. ChatGPT, for the uninitiated, is a chatbot-like technology trained on large language models (LLMs) that can generate essays, poems, lyrics, articles and more from simple natural-language instructions.