If you’ve been on the internet at all lately, you’ve seen AI generated art and discussion of the impact of the tools. You’ve also probably seen a lot of hate for AI generated art. There’s a lot of drama going on, as art focused communities across the internet decide how to handle this. Does AI generated/assisted art need tagged as such? Should it be allowed at all? There’s the whole Deviant Art situation (ArsTechnica). It’s all sorta messy right now, so let’s talk about it. Read More
Monthly Archives: November 2022
Amazon’s ‘Create with Alexa’ highlights the intersection of AI and creativity
‘Create with Alexa,’ an AI-powered storytelling buddy, helps kids create immersive and unique stories to add some fun to your child’s bedtime routine
Bedtime stories have always been essential to a child’s bedtime routine. It’s a time for a child to expand their imagination and vocabulary and is the perfect opportunity for a child and parent to bond.
On Monday, Amazon introduced a new way to experience bedtime stories. Create with Alexa is a new feature your child can use on a supported Echo Show device to create immersive bedtime stories with the help of artificial intelligence. Read More
OpenAI upgrades GPT-3, stunning with rhyming poetry and lyrics
On Monday, OpenAI announced a new model in the GPT-3 family of AI-powered large language models, text-davinci-003, that reportedly improves on its predecessors by handling more complex instructions and producing longer-form content. Almost immediately, people discovered that it could also generate rhyming songs, limericks, and poetry at a level GPT-3 could not previously produce.
On Hacker News, commenters expressed amazement after convincing GPT-3 to write a short rhyming poem explaining Albert Einstein’s theory of relativity. Another commenter asked GPT-3 to re-write the poem in the style of John Keats, and it obliged, dropping lines like “Mass doth affect the shape of time.” Read More
A bot that watched 70,000 hours of Minecraft could unlock AI’s next big thing
Online videos are a vast and untapped source of training data—and OpenAI says it has a new way to use it.
OpenAI has built the best Minecraft-playing bot yet by making it watch 70,000 hours of video of people playing the popular computer game. It showcases a powerful new technique that could be used to train machines to carry out a wide range of tasks by binging on sites like YouTube, a vast and untapped source of training data.
The Minecraft AI learned to perform complicated sequences of keyboard and mouse clicks to complete tasks in the game, such as chopping down trees and crafting tools. It’s the first bot that can craft so-called diamond tools, a task that typically takes good human players 20 minutes of high-speed clicking—or around 24,000 actions.
The result is a breakthrough for a technique known as imitation learning, in which neural networks are trained to perform tasks by watching humans do them. Imitation learning can be used to train AI to control robot arms, drive cars, or navigate web pages. Read More
This AI Time Machine Transforms You Into A Historical Figure From Any Era
If your social media profile photo needs some zhuzhing up, this AI image generator can turn your selfies and portraits into timeless works of art.
Apps that are designed to produce highly creative imagery through artificial intelligence (AI) are certainly having a moment these days, as another one designed to turn users into prominent people from the past is making the rounds online. Most AI art generators use text-to-image technology that requires user input to determine the artistic direction of rendered photographs. AI art generation is now a mainstay in the zeitgeist, thanks to the likes of DALL-E, an open-source project that inspired many others, which people started using to produce hilarious memes.
Soon after DALL-E’s rise to fame, more platforms that cater to producing hyperrealistic images from descriptive text prompts, including Midjourney and Stable Diffusion, came out of the woodwork and have since attracted sizable user bases. … AI Time Machine is an entertaining new feature that’s currently free to try on MyHeritage, an online genealogy platform. It works by taking a collection of photos depicting a single person and turning them into themed portraits seemingly captured from different points in history. Read More
Meet the Independent Artists Building the Metaverse
Creators are crafting accessories, avatars, and entire worlds in social virtual worlds, and often making a living doing it.
I walk slowly around the Hidden Heights mansion holding a glass of red wine. No one’s home, and it’s nighttime, like a party has just ended or is about to begin. Inside, the stairway railings and arms of modern metal chairs gleam in the light cast from dripping chandeliers overhead. White couches and wall-to-ceiling windows, stainless steel appliances, dark wood, a glass wall-length wine rack—it feels expensive in here. Outside, fronds of a palm tree stir over the shifting pool that overlooks the city skyline, all lit up in white lights. I pick up an inflatable donut and fling it across the pool.
I can’t actually touch any of this, or smell the night air, or drink the wine I’m holding. It’s a custom-made world created by Elaine, a digital designer who makes places like Hidden Heights and commissioned spaces for people to use in virtual worlds like VRChat, Horizon Worlds, and Altspace. Her work can bring in thousands of dollars a month; for corporate clients who want to commission a space, she requires a $10,000 minimum. Read More
The Generative AI Revolution in Games
To understand how radically gaming is about to be transformed by Generative AI, look no further than this recent Twitter post by @emmanuel_2m. In this post he explores using Stable Diffusion + Dreambooth, popular 2D Generative AI models, to generate images of potions for a hypothetical game.
What’s transformative about this work is not just that it saves time and money while also delivering quality – thus smashing the classic “you can only have two of cost, quality, or speed” triangle. Artists are now creating high-quality images in a matter of hours that would otherwise take weeks to generate by hand. What’s truly transformative is that:
- This creative power is now available to anyone who can learn a few simple tools.
- These tools can create an endless number of variations in a highly iterative way.
- Once trained, the process is real-time – results are available near instantaneously.
#gans
How Generative AI Is Changing Creative Work
Generative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Companies need to understand how these tools work, and how they can add value. Read More
Google has a secretive project to write code
Google has a secretive new project that teaches an AI to write code, fix bugs, and make code updates. The project is part of a broader push by Google into generative AI or GANS. The goal is to reduce the need for humans to write and update code, while maintaining code quality. The project started at X, where it was codenamed “Pitchfork,” later moving into Google Labs — a transition that signaled its increased importance to leaders, with Google Labs pursuing long-term bets. Read More
#devopsNVIDIA Omniverse Shines in a New Light with Magic3D
NVIDIA’s new text-to-3D synthesis model Magic3D creates high-quality 3D mesh models better than Google’s DreamFusion
Earlier this month, NVIDIA announced that it would be enabling the beta release of Omniverse, a platform where developers and creators can build Metaverse applications. In this way, the company has aligned its future along the metaverse vision, with the new platform allowing its users to create “digital twins” to simulate the real world.
One such step towards the realisation of such a dream that would help users to render a high-resolution 3D model for any 2D image input, or textual prompt, is Magic3D. Recently released by NVIDIA researchers, Magic3D is a text-to-3D synthesis model that creates high-quality 3D mesh models.
The model is a response to Google’s DreamFusion, in which the team used a pre-trained text-to-image diffusion model, circumventing the impossibility of having large-scale labelled 3D datasets, to optimise Neural Radiance Fields (NeRF). Read More
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