Recently, there has been an increased interest in OpenAI's DALL-E, Stable Diffusion (the free alternative of DALL-E), and Midjourney (hosted on a Discord server). While AI-generated art is very cool, what is even more captivating is how it works in the first place. In the last section, I will include some resources for anyone to get started in this AI art space as well. So how do these technologies work? It uses something called a latent diffusion model, and the idea behind it is actually ingenious.

ChatGPT is a prototype dialogue-based AI chatbot capable of understanding natural human language and generating impressively detailed human-like written text. It is the latest evolution of the GPT – or Generative Pre-Trained Transformer – family of text-generating AIs. The new AI is the latest chatbot from the Elon Musk-founded independent research body OpenAI foundation. Musk co-founded the startup with other Silicon Valley investors including technology venture capitalist Sam Altman in late 2015, saying that the research centre would "advance digital intelligence in the way that is most likely to benefit humanity" according to a blog post at the time. The Twitter CEO has since left the board and distanced himself from the company, tweeting on Sunday that after he "learned" that OpenAI was accessing the platform's database for "training", he put a pause on it.

Google has been around for a pretty long time, and since surpassing Internet Explorer in 2016 they've maintained a strong hold on the search engine market. Now though, a new successor just might be approaching. OpenAI, an Artificial Intelligence research lab, has been working on numerous applications since it was created. Founded in 2015 by Elon Musk himself, the well-known richest man in the world, they've been able to significantly develop the advancements of machine learning. Just recently, one of their apps became a massive success.

Adobe is the latest stock image provider to take a stance on AI-generated art. The company has updated its guidelines to allow generative AI artwork on its stock photo service as long as it meets certain criteria. Contributors will have to label any AI-made content, and they'll require permission for any reference images or text prompt used to produce the art. Creators will likewise need releases for any material depicting recognizable people. The new policy also warns producers against misusing AI by submitting multiple images based on the same prompt.

Artificial intelligence is coming for creativity. Skills such as illustration and writing that were once deemed the most resistant to incursions by artificial intelligence are now being credibly emulated by programs like DALL·E 2 and GPT-3. Where does that leave workers in creative fields, and how should they prepare to compete? In today's newsletter, I rounded up some of The Atlantic's recent coverage of artificial-intelligence technologies that paints a picture (not the AI kind) of what the future could look like. I'll see you next Monday.

California start-up OpenAI has released a chatbot capable of answering a variety of questions, but its impressive performance has reopened the debate on the risks linked to artificial intelligence (AI) technologies. The conversations with ChatGPT, posted on Twitter by fascinated users, show a kind of omniscient machine, capable of explaining scientific concepts and writing scenes for a play, university dissertations or even functional lines of computer code. "Its answer to the question'what to do if someone has a heart attack' was incredibly clear and relevant," Claude de Loupy, head of Syllabs, a French company specialized in automatic text generation, told AFP. "When you start asking very specific questions, ChatGPT's response can be off the mark," but its overall performance remains "really impressive," with a "high linguistic level," he said. OpenAI, cofounded in 2015 in San Francisco by billionaire tech mogul Elon Musk, who left the business in 2018, received $1 billion from Microsoft in 2019. The start-up is best known for its automated creation software: GPT-3 for text generation and DALL- E for image generation.

The artificial intelligence research company, OpenAI, recently released ChatGPT, an enormously capable AI system that can communicate with people using natural language. ChatGPT can answer complicated and nuanced questions, explain the complicated themes in Moby Dick, write beautiful poems, and teach you how to tell convincing lies. OpenAI was formed in 2015 with the mission of developing a friendly artificial intelligence that will dramatically benefit humanity while also helping humanity avoid the existential risks that might arise from such artificial general intelligence. Their recent ChatGPT system engages in conversational dialogue with human users. "Many species of ducks migrate south in the winter in order to find more favorable conditions for feeding and breeding. In the northern parts of the world, the winter months can bring colder temperatures, shorter days, and less available food, which can make it difficult for ducks to survive."

Unless you have been living under a rock, you have heard of this new ChatGPT assistant made by OpenAI. You might be aware of its capabilities for solving IQ tests, tackling leetcode problems or to helping people write LateX. It is an amazing resource for people to retrieve all kinds of information and solve tedious tasks, like copy-writing! Today, Frederic Besse told me that he managed to do something different. Did you know, that you can run a whole virtual machine inside of ChatGPT?

On Wednesday, OpenAI announced ChatGPT, a dialogue-based AI chat interface for its GPT-3 family of large language models. It's currently free to use with an OpenAI account during a testing phase. Unlike the GPT-3 model found in OpenAI's Playground and API, ChatGPT provides a user-friendly conversational interface and is designed to strongly limit potentially harmful output. "The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests," writes OpenAI on its announcement blog page. So far, people have been putting ChatGPT through its paces, finding a wide variety of potential uses while also exploring its vulnerabilities. It can write poetry, correct coding mistakes with detailed examples, generate AI art prompts, write new code, expound on the philosophical classification of a hot dog as a sandwich, and explain the worst-case time complexity of the bubble sort algorithm… in the style of a "fast-talkin' wise guy from a 1940's gangster movie."

Reinforcement learning (RL) is an area of machine learning that focuses on training intelligent agents using related experiences so they can learn to solve decision making tasks, such as playing video games, flying stratospheric balloons, and designing hardware chips. Due to the generality of RL, the prevalent trend in RL research is to develop agents that can efficiently learn tabula rasa, that is, from scratch without using previously learned knowledge about the problem. However, in practice, tabula rasa RL systems are typically the exception rather than the norm for solving large-scale RL problems. Large-scale RL systems, such as OpenAI Five, which achieves human-level performance on Dota 2, undergo multiple design changes (e.g., algorithmic or architectural changes) during their developmental cycle. This modification process can last months and necessitates incorporating such changes without re-training from scratch, which would be prohibitively expensive.