… created by Elon Musk’s OpenAI, may be considered or appears to exhibit, something like artificial general intelligence (AGI), the ability to understand …

OpenAI, an AI research foundation started by Elon Musk, Sam Altman, Greg Brockman, and a few other leaders in ML, recently released an API and website that allows people to access a new language model called GPT-3. I've had the chance to play with it over the past few days and have been truly amazed by its capabilities. I'd like to start this off by stating that, especially amongst my extremely intelligent ML friends, I am quite the layman, so this post is more aimed for a nontechnical audience and I apologize if I make any technical errors in this post. GPT-3 is essentially a context-based generative AI. What this means is that when the AI is given some sort of context, it then tries to fill in the rest.

In this paper, we expand on our previous research of the potential for abuse of generative language models by assessing GPT-3. Experimenting with prompts representative of different types of extremist narrative, structures of social interaction, and radical ideologies, we find that GPT-3 demonstrates significant improvement over its predecessor, GPT-2, in generating extremist texts. We also show GPT-3's strength in generating text that accurately emulates interactive, informational, and influential content that could be utilized for radicalizing individuals into violent far-right extremist ideologies and behaviors. While OpenAI's preventative measures are strong, the possibility of unregulated copycat technology represents significant risk for large-scale online radicalization and recruitment; thus, in the absence of safeguards, successful and efficient weaponization that requires little experimentation is likely. AI stakeholders, the policymaking community, and governments should begin investing as soon as possible in building social norms, public policy, and educational initiatives to preempt an influx of machine-generated disinformation and propaganda. Mitigation will require effective policy and partnerships across industry, government, and civil society.

San Francisco-based AI research laboratory OpenAI has added another member to its popular GPT (Generative Pre-trained Transformer) family. In a new paper, OpenAI researchers introduce GPT-f, an automated prover and proof assistant for the Metamath formalization language. While artificial neural networks have made considerable advances in computer vision, natural language processing, robotics and so on, OpenAI believes they also have potential in the relatively underexplored area of reasoning tasks. The new research explores this potential by applying a transformer language model to automated theorem proving. Automated theorem proving tends to require general and flexible reasoning to efficiently check the correctness of proofs.

An advanced artificial intelligence created by OpenAI, a company founded by genius billionaire Elon Musk, recently penned an op-ed for The Guardian that was so convincingly human many readers were astounded and frightened. Just writing that sentence made me feel like a terrible journalist. That's a really crappy way to start an article about artificial intelligence. The statement contains only trace amounts of truth and is intended to shock you into thinking that what follows will be filled with amazing revelations about a new era of technological wonder. Here's what the lede sentence of an article about the GPT-3 op-ed should look like, as Neural writer Thomas Macaulay handled it earlier this week: The Guardian today published an article purportedly written "entirely" by GPT-3, OpenAI's vaunted language generator.

In February 2019, the artificial intelligence research lab OpenAI sent shockwaves through the world of computing by releasing the GPT-2 language model. Short for "Generative Pretrained Transformer 2," GPT-2 is able to generate several paragraphs of natural language text -- often impressively realistic and internally coherent -- based on a short prompt. Scarcely a year later, OpenAI has already outdone itself with GPT-3, a new generative language model that is bigger than GPT-2 by orders of magnitude. The largest version of the GPT-3 model has 175 billion parameters, more than 100 times the 1.5 billion parameters of GPT-2. Just like its predecessor GPT-2, GPT-3 was trained on a simple task: given the previous words in a text, predict the next word. This required the model to consume very large datasets of Internet text, such as Common Crawl and Wikipedia, totalling 499 billion tokens (i.e.

Few in the natural language processing (NLP) community expected the world's most powerful large language model to come cheap, but some are worried the hefty price tag could put it out of reach of startups. OpenAI's 175 billion parameter language model GPT-3 (Generative Pre-trained Transformer 3) turned heads in the NLP community when it was released in June, and now it's back in the spotlight. A Reddit post this week by independent writer and researcher Gwern Branwen detailed the pricing plan OpenAI has provided to GPT-3 Beta API users. The scheme, which goes into effect on October 1, has already raised as many questions as it has answered. According to reports, OpenAI announced the pricing scheme for GPT-3's API usage from October. The plan has four tiers: Explore, Create, Build, Scale.

Note that our human feedback models generate summaries that are significantly shorter than summaries from models trained on CNN/DM. At a given summary length, our 6.7B human feedback model trained on Reddit performs almost as well as a fine-tuned 11B T5 model, despite not being re-trained on CNN/DM. To test our models' generalization, we also applied them directly to the popular CNN/DM news dataset. These articles are more than twice as long as Reddit posts and are written in a very different style. Our models have seen news articles during pre-training, but all of our human data and RL fine-tuning was on the Reddit TL;DR dataset.

OpenAI Gym is a toolkit that provides a wide variety of simulated environments (Atari games, board games, 2D and 3D physical simulations, and so on), so you can train agents, compare them, or develop new Machine Learning algorithms (Reinforcement Learning). OpenAI is an artificial intelligence research company, funded in part by Elon Musk. Its stated goal is to promote and develop friendly AIs that will benefit humanity (rather than exterminate it). In this article, I will be using the OpenAI gym, a great toolkit for developing and comparing Reinforcement Learning algorithms. It provides many environments for your learning agents to interact with.

GPT-3: Language Models are Few-Shot Learners May 29, 2020 Link Hacker News (431 points, 291 comments) Reddit (271 points, 113 comments) The original GPT-3 paper from OpenAI.