Project Mellon is a lightweight Python package capable of harnessing the heavyweight power of speech AI (NVIDIA Riva) and large language models (LLMs) (NVIDIA NeMo service) to simplify user interactions in immersive environments. NVIDIA announced at NVIDIA GTC 2023 that developers can start testing Project Mellon to explore creating hands-free extended reality (XR) experiences controlled by natural-language voice commands. Words can move mountains, as J.R.R. Tolkien's riddle guarding the Doors of Durin ("Speak friend, and enter") reminds us. The fundamental idea behind Project Mellon is that the power of speech AI and LLMs can be harnessed in a practical way--to open doors, and do so much more--in the virtual world. In XR, user interfaces can be complicated and difficult to use, disrupting the sense of natural immersion that is the essence of virtual, mixed, and augmented realities.

This is part 1 of a multi part series covering Realm's development journey and some of the complex decisions we have made in order to leverage the power of Artificial Intelligence and Machine Learning. Quickly create engaging virtual experiences (realms) with no code. We knew by simplifying the creation process, we could quickly grow the number of realms, kickstart network effects and enable everyone to find experiences they enjoyed. We made 2 core product design decisions that were against the grain compared to other Web3 metaverses. The decision around creating a mobile first product was a no brainer, 61% of the entire gaming revenues in 2022 came from mobile devices.

I asked ChatGPT, Google Bard and Microsoft Bing's AI to answer this question, with some fascinating responses, interspersed with some eye-themed images created by Midjourney.

Yesterday, one of the better-known Bruce Sterlings (@bruces) retweeted a tweet asking google bard to "imagine you would be able to scream.

Half of college students are likely already using ChatGPT to cheat, experts have estimated. They warn the revolutionary AI has created a cheating epidemic that poses a huge threat to the integrity of academia. 'At present, well over half of students are likely using AI tools to cheat the education system in exams or essays, but it wouldn't surprise me if that number were already higher.' Could educators resort to written tests to deal with AI cheating? He added: 'If educators make the mistake of ignoring the threat of AI-based cheating, I can honestly see more than 90 percent of students cheating in this way [in future].' OpenAI's new GPT-4 update (GPT-3 and GPT-4 are the models which underlie ChatGPT) is able to get 90 percent on a huge number of exams, including the American bar exam.

The wheel, electricity and the computer are among some two dozen general purpose technologies, aka GPTs, that have greatly transformed human economies and societies. Is it just a coincidence that OpenAI's GPT shares this initialism? In the new paper GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models, a research team from OpenAI, OpenResearch, and the University of Pennsylvania investigates the potential impact of LLMs like GPT on the US labour market, shedding light on the economic, social, and policy implications. The "GPT" in ChatGPT stands for generative pretrained transformer, an LLM architecture with game-changing abilities across a variety of generative tasks. Amid the recent public fascination with ChatGPT, however, concerns are emerging -- as people wonder how such models could impact their workplaces and to what extent they might replace human workers.

The concern, as Edward Teller saw it, was quite literally the end of the world. He had run the calculations, and there was a real possibility, he told his Manhattan Project colleagues in 1942, that when they detonated the world's first nuclear bomb, the blast would set off a chain reaction. All life on Earth would be incinerated. Some of Teller's colleagues dismissed the idea, but others didn't. If there were even a slight possibility of atmospheric ignition, said Arthur Compton, the director of a Manhattan Project lab in Chicago, all work on the bomb should halt.

As artificial intelligence continues to evolve at an unprecedented pace, language models are becoming more sophisticated and powerful than ever before. One of the most groundbreaking advances in recent years has been the development of OpenAI's GPT series, with GPT-4 setting new standards for natural language processing and understanding. In this blog post, we will explore the improvements and advantages of GPT-4 over its predecessor, GPT-3, and discuss how these enhancements are revolutionizing AI and human-computer interaction. One of the most significant improvements of GPT-4 over GPT-3 is its enhanced understanding and generation of natural language. This leap in performance is primarily due to the increased number of parameters, making GPT-4 one of the largest and most powerful language models in existence.

ChatGPT and tools like it have made AI available to the masses. We can now get all sorts of responses back on almost any topic imaginable. These bots can come up with sonnets, code, philosophy, and more. However, while you can just type anything you like into ChatGPT and get it to understand you, there are ways of getting more interesting and useful results out of the bot. This "prompt engineering" is becoming a specialized skill of its own.

When, late last year, the editor asked me and other Observer writers what we thought 2023 would be like, my response was that it would be more like 1993 than any other year in recent history. Why? Simply this: 1993 was the year that Mosaic, the first modern web browser, launched and all of a sudden the non-technical world understood what this strange "internet" thing was for. This was despite the fact that the network had been switched on a whole decade earlier, during which time the world seemed almost entirely unaware of it; as a species, we seem to be slow on the uptake. Much the same would happen in 2023, I thought, with ChatGPT. Machine-learning technology, misleadingly rebranded as artificial intelligence (AI), has been around for eons, but for the most part, only geeks were interested in it.