From Bitcoin to Ethereum, cryptocurrencies have been hailed as the new way to pay for products and services online. But according to one expert, they do not'bring anything useful for society', despite using up massive amounts of processing power. Michael Kagan, chief technology officer at chipmaker Nvidia, has said cryptocurrencies will never'do something good for humanity'. The expert has citied artificial intelligence (AI) – including chatbot ChatGPT – as being of more use to the public and a better use of energy than'crypto mining'. Cryptocurrencies perform mining to generate new coins and verify transactions, but it's more environmentally costly than beef production, a recent study found.

Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation across various domains, including medicine. We present a comprehensive evaluation of GPT-4, a state-of-the-art LLM, on medical competency examinations and benchmark datasets. GPT-4 is a general-purpose model that is not specialized for medical problems through training or engineered to solve clinical tasks. Our analysis covers two sets of official practice materials for the United States Medical Licensing Examination (USMLE), a three-step examination program used to assess clinical competency and grant licensure in the United States. We also evaluate performance on the MultiMedQA suite of benchmark datasets.

ChatGPT is one of the most advanced and popular chatbots in the world, powered by OpenAI's generative pre-trained transformer (GPT) models. ChatGPT can generate natural and engaging responses to a variety of topics and contexts, using its large-scale language understanding and generation capabilities. However, until recently, ChatGPT had a major limitation: it could not access the internet or any external data sources or services. This meant that ChatGPT could only rely on its internal knowledge and memory, which might be outdated, incomplete, or inaccurate. For example, if you asked ChatGPT about the latest news, sports scores, or weather forecasts, it would not be able to give you a reliable answer.

Content warning: Please note that this blog includes examples of toxic and offensive language generated by OpenAI's GPT-3. On its release in June 2020, OpenAI's GPT-3 represented a major breakthrough in natural language generation (NLG). With near human-like performance, GPT-3 is able to pen news articles, write complex code, and solve algebra problems -- without being explicitly trained to do so. It can even write your CV. While race and gender biases are well documented in NLG systems, research into LGBTQ bias is lacking in comparison and is thus the main focus of this blog post.

My mind was already open to new stuff, as I was preparing already to visit ArtBasel in Miami end of 2022. I was looking for novelty, new things I can zhuzh-up my classroom with come new year. Instagram/TikTok was full of these gurus talking about "websites that would change your life", and on and off one of those websites really promised something; until ChatGPT appeared on my reel. It took some experimenting a few times and I was pleasantly surprised as how this chat framing made search, and especially creation, more accessible. What usually took a weeks time could be done in less than half an hour, and had the potential to change the lives of scholars and university professors forever.

Generative AI is the is a technological marvel destined to change the way we work, but what does it do and what are its use cases for CTOs? Where better to start than with a definition straight from the horse's mouth? ChatGPT-4, from Microsoft-backed OpenAI, describes generative AI as "…a type of artificial intelligence that involves training algorithms to generate new content based on a given set of parameters or data. This technology has been used in a variety of fields, from image and video generation to natural language processing and music creation". Apart from being endearingly modest, generative AI also has the potential to transform economies.

Google typically gets the blame for the lack of competition in web search. The US government is even suing to block the company from using allegedly monopolistic tactics, like making itself the default search engine in widely used software such as Android, Chrome, and Safari. But some upstart search engines trying to woo users with privacy protections or ad-free searches say their latest challenge doesn't come from Google. Search startups have long relied on licensing search results from Bing, tapping a web indexing operation larger than a small company could easily afford and adding their own features and ways of parsing queries. But Microsoft's rollout of a Bing search chatbot based on technology underlying OpenAI's ChatGPT has prompted concerns that Microsoft is unfairly squeezing out its search data customers as it launches a renewed attempt to bite off more market share from Google.

Analysis OpenAI this week introduced ChatGPT plugins, a way to extend the scope of its chatbot language model beyond the slurry of internet training data to bespoke business information. So wary is OpenAI of all the ways that ChatGPT and its other models can misfire that the company begins its announcement by reassuring readers that its cautious rollout follows from its desire to address "safety and alignment challenges." It does so with good reason – large language models (LLMs), referred to euphemistically as artificial intelligence or just AI, are seen by some to be venomous constructs that must be contained. LLMs are also limited to whatever information can be accessed or derived from their training data. As OpenAI puts it, "This information can be out-of-date and is one-size fits all across applications. Furthermore, the only thing language models can do out-of-the-box is emit text. This text can contain useful instructions, but to actually follow these instructions you need another process."

After all, experts have been predicting for decades that technological automation might soon take most of our jobs. With the rise of even more powerful artificial intelligence (AI) and robotic technologies, these same fears are leading to a fresh round of worse-case forecasts about the displacement of skills and sectors. A new study forecasts that "up to 49 percent of workers could have half or more of their tasks exposed" to AI-powered large language models like OpenAI's GPT-4. A decade ago, researchers at the University of Oxford published a widely cited study that similarly predicted 47 percent of U.S. jobs were at high risk of automation. The good news is that the sky is not falling due to AI. Largely the opposite of what the Oxford scholars predicted about AI job losses came true.

Artificial Intelligence is all the rage in the tech world, especially after the launch of ChatGPT and GPT-4. It has shown potential not only to change life of workers -- but also the daily life of another demographic: kids. In fact, children are already using AI-powered toys and platforms that write bedtime stories at the click of a button. "We call today's children'Generation AI' because they are surrounded by AI almost everywhere they go, and AI models make decisions that determine the videos they watch online, their curriculum in school, the social assistance their families receive, and more," Seth Bergeson, fellow at the World Economic Forum who led their "AI for Children" project, told CNBC Make It. And AI's influence will only grow from here, said Saurabh Sanghvi and Jake Bryant, partners at McKinsey. "These technologies are not going away and will continue to advance and impact more of our professions and daily interactions," they said.