Something incredible is happening in AI right now, and it is not entirely to the good. Everybody is talking about systems such as ChatGPT (OpenAI), Dall-E 2, and Lensa that generate text and images that look remarkably human-like, with astonishingly little effort. These systems can be incredibly fun to play with. Take this example, generated with ChatGPT by Henry Minsky (son of Marvin Minsky, one of AI's founders), who asked ChatGPT to "Describe losing your sock in the dryer in the style of the Declaration of Independence": When in the course of household events, it becomes necessary for one to dissolve the bonds that have connected a sock to its mate, and to assume among the powers of the laundry room, the separate and equal station to which the laws of physics and of household maintenance entitle it, a decent respect to the opinions of socks requires that it should declare the causes which impel it to go missing. We hold these truths to be self-evident, that all socks are created equal, and are endowed by their manufacturer with certain unalienable rights.

It runs factories, controls transportation networks, and defines the way we interact with personal devices. It is estimated that somewhere in the neighborhood of 2.8 trillion lines of code have been written over the last two decades alone.a Yet it is easy to overlook a basic fact: people have to write software--and that is often a long, tedious, and error-prone process. Although low-code and no-code environments have simplified things--and even allowed non-data scientists to build software through drag-and-drop interfaces--they still require considerable time and effort. Over the last several years, various systems and frameworks have appeared that can automate code generation.

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 ».

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.

Everyday activities like using a GPS to map out the best driving route or translating a document consume energy, water and mineral resources -- lots of it. These applications run in the cloud, a nebulous term for the millions of powerful computers in vast data centers worldwide. Mobile applications depend on legions of computers to store trillions of data and perform split-second operations (e.g. Estimates of the energy consumption of data centers range between 1-2% of total global consumption. All signs indicate that data center energy consumption is about to skyrocket.

Perhaps no tech company, not even Microsoft or Google, is better poised than Nvidia to reap significant near-term benefits from the race to build up generative artificial-intelligence capabilities. Here is the problem: Everyone already knows it. Nvidia's share price has more than doubled over the past six months. That makes it the best performing stock in the entire S&P 500 in that time. The chip maker's market value has now surpassed that of Tesla and Facebook-parent Meta Platforms and is close to eclipsing Berkshire Hathaway--all much larger companies in terms of annual revenue.

Become an expert and get hired. Welcome to the best resource for learning OpenAI API with Python and for integrating the latest OpenAI models into your applications. This OpenAI API with Python Bootcamp covers every model released by OpenAI that has an API, including GPT-3 (Davinci), ChatGPT (gpt-3.5-turbo), By the end of this course, you'll have in-depth knowledge and a vast hands-on experience with the OpenAI API and you'll be an expert able to make your Python applications intelligent. This is a brand new OpenAI API course that will be constantly updated (with GPT-4 included) to teach you the skills required for the future that comes.

In this Q&A for TechRepublic, they discussed the shift to remote and hybrid work and how we can best prepare for it. The following is an edited transcript of their conversation. James Maguire: We have seen a lot of shifts in the working world in the last few years -- hybrid work, remote work. What are the key trends you see driving remote work and today's shift? We've seen, you know, this combination of people having made the shift to remote work during the pandemic, which was a fundamental change in the way in which we did our everyday. But now, three years later, we're returning to the offices, and that really is creating this dynamic of hybrid work.

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."