Towards the end of last year, management consultant McKinsey published an article where the first paragraph was created by ChatGPT, the generative artificial intelligence (AI) language model. The article's authors admitted that the AI's attempt was "not perfect but overwhelmingly impressive". They noted that products like ChatGPT and GitHub Copilot take technology into realms once thought to be reserved for humans. "With generative AI, computers can now arguably exhibit creativity. They can produce original content in response to queries, drawing from data they've ingested and interactions with users," they said.

Summary: OpenAI's ChatGPT program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. The artificial intelligence algorithms behind the chatbot program ChatGPT--which has drawn attention for its ability to generate humanlike written responses to some of the most creative queries--might one day be able to help doctors detect Alzheimer's disease in its early stages. Research from Drexel University's School of Biomedical Engineering, Science and Health Systems recently demonstrated that OpenAI's GPT-3 program can identify clues from spontaneous speech that are 80% accurate in predicting the early stages of dementia. Reported in the journal PLOS Digital Health, the Drexel study is the latest in a series of efforts to show the effectiveness of natural language processing programs for early prediction of Alzheimer's--leveraging current research suggesting that language impairment can be an early indicator of neurodegenerative disorders. The current practice for diagnosing Alzheimer's Disease typically involves a medical history review and lengthy set of physical and neurological evaluations and tests.

Jenna Lyle, the spokesperson for the education department, stated that ChatGPT access is restricted to New York City Public Schools devices and networks because of concerns about student learning and safety. While the tool can provide quick and simple answers to your questions, it doesn't build critical thinking or problem-solving skills crucial for academic and long-term success. OpenAI launched ChatGPT on November 20, 2022. It has been the subject of much debate and fear-mongering since then about artificially intelligent systems continuing to rise in creative industries. Stack Overflow suspended it in December for giving wrong answers to programming questions.

Google Muse AI is the latest additon from the tech giant to a swarm of AI tools we have been seeing lately. The new text-to-image transformer model claims to be quicker than competing methods, because it uses parallel decoding and a compact, discrete latent space. According to its developers, Google Muse AI can produce images at state-of-the-art image generation performance. We present Muse, a text-to-image Transformer model that achieves state-of-the-art image generation performance while being significantly more efficient than diffusion or autoregressive models. Google Muse AI is an allegedly improved version of earlier text-to-image transformer models like Imagen and DALL-E 2. Muse is trained on a masked modeling task in discrete token space using the text embedding acquired from a pre-trained large language model (LLM).

A few years ago, I'd sometimes find myself needing to answer the question, "Why does Future Perfect, which is supposed to be focused on the world's most crucial problems, write so much about AI?" After 2022, though, I don't often have to answer that one anymore. This was the year AI went from a niche subject to a mainstream one. In 2022, powerful image generators like Stable Diffusion made it clear that the design and art industry was at risk of mass automation, leading artists to demand answers -- which meant that the details of how modern machine learning systems learn and are trained became mainstream questions. Meta pushed releases of both Blenderbot (which was a flop) and the world-conquering, duplicitous Diplomacy-playing agent Cicero (which wasn't).

OpenAI released ChatGPT in November 2022. Since then, it's generated a lot of hype, debate, and fear-mongering about the continued rise of artificially intelligent systems in creative industries. In December, Stack Overflow banned it for consistently giving incorrect answers to programming questions. Even OpenAI's CEO Sam Altman doesn't think it's that good; he tweeted last month that "ChatGPT is incredibly limited, but good enough at some things to create a misleading impression of greatness," and that it's "a mistake to be relying on it for anything important right now."

In a renewed effort to challenge search giant Google, Microsoft is planning to integrate the AI engine behind the popular ChatGPT3 chatbot from OpenAI into its Bing search engine, according to reports from The Information and Bloomberg. Microsoft is betting on the rising popularity of ChatGPT3, as it showcases a new way to search the internet and responding to queries using conversational language -- different from what Google offers currently in the way of links, Bloomberg cited a company source as saying. Google commands more than 91% market share in the internet search category globally, compared to Bing's 2.95% as of November 2022, according to data from similarweb.com. The source cited by Bloomberg also said that Microsoft was evaluating the accuracy of the ChatGPT3 AI engine and was working on understanding how soon it could be integrated with Bing, but warned that it could take several months before the chatbot engine is integrated into Bing and is released to the public. The Information report claims that Bing's March 2023 release could include the chatbot engine integration going live.

The research applies AI-driven code assistants to analyze a selection of influential computer code that has shaped modern technology, including email, internet browsing, robotics, and malicious software. The original contribution of this study was to examine half of the most significant code advances in the last 50 years and, in some cases, to provide notable improvements in clarity or performance. The AI-driven code assistant could provide insights into obfuscated code or software lacking explanatory commentary in all cases examined. We generated additional sample problems based on bug corrections and code optimizations requiring much deeper reasoning than a traditional Google search might provide. Future work focuses on adding automated documentation and code commentary and translating select large code bases into more modern versions with multiple new application programming interfaces (APIs) and chained multi-tasks. The AI-driven code assistant offers a valuable tool for software engineering, particularly in its ability to provide human-level expertise and assist in refactoring legacy code or simplifying the explanation or functionality of high-value repositories. NTRODUCTION The latest generation of artificial intelligence (AI) and chat applications [1-13] shows particular promise as software generators [4,11], presenting a new interactive way to learn complex coding principles [6], comment on existing code in multiple languages [8], and generally serve as coding assistants [8-12]. Recent efforts by OpenAI have put large language models (LLMs) into public access [1-2]. As an experimental platform, particularly for understanding software principles, its interactive chat [1] simulates a vast knowledge base, expert role-playing, and long-term memory spanning 8000 tokens, or approximately 20-25 pages of generated text. Several tests or benchmarks, such as QuixBugs [8] and HackerRank [12], have demonstrated the potential of generative coders as software assistants [10]. A recent review from the University of Washington and Microsoft Research [14] estimated that 1.2 million coders currently use OpenAI's copilot for tasks formerly requiring searches, such as code completion, commentary, or bug detection.

Jan 3 (Reuters) - Microsoft Corp (MSFT.O) is in the works to launch a version of its search engine Bing using the artificial intelligence behind OpenAI-launched chatbot ChatGPT, The Information reported on Tuesday, citing two people with direct knowledge of the plans. Microsoft could launch the new feature before the end of March, and hopes to challenge Alphabet-owned search engine Google (GOOGL.O),the San Francisco-based technology news website said in a report. Microsoft said in a blog post last year that it planned to integrate image-generation software from OpenAI, DALL-E 2, into Bing. OpenAI and Microsoft declined to comment. Microsoft had in 2019 backed San Francisco-based artificial intelligence company OpenAI, offering $1 billion in funding.

Unlike its direct competitors DALL-E or Midjourney, Stable Diffusion makes its source code available and can be run on local hardware. Furthermore, Stable Diffusion claims no rights on the generated output images. The user owns the unique creations and is supposedly free to use them commercially.