Lots of AI art editing tools out there, but @playground_ai crushes it with UX/UI. "Giver her a suit and tie" was the only prompt for this edit. Style match was near perfect; didn't compromise the rest of the image. Free to use ↓ http://
playgroundai.com Nice work @Suhail
@aibreakfast
-
Playground AI excels at AI art editing with seamless UX
By
–
-
Playground AI crushes UX/UI for AI art editing
By
–
Lots of AI art editing tools out there, but @playground_ai crushes it with UX/UI. "Giver her a suit and tie" was the only prompt for this edit. Style match was near perfect; didn't compromise the rest of the image. Free to use ↓ http://
playgroundai.com Nice work @Suhail -
The only guaranteed winner in the race to achieve Artificial General Intelligence
By
–
The only guaranteed winner in the race to achieve Artificial General Intelligence
-
China releasing unrestricted ChatGPT to vacuum global queries?
By
–
Would it be surprising if China eventually released a totally unrestricted version of ChatGPT to vacuum up the world’s queries?
-
Genmo.ai: upload a picture with prompts to generate AI clips
By
–
🎥 AI-generated video projects are developing, and now you can try it yourself:
— AI Breakfast (@AiBreakfast) 22 janvier 2023
Berkeley PhD students @_parasj and @ajayj_ are working on a new text-to-video model with @genmoai
-Upload a picture
-Add prompts
-Generate immersive clipshttps://t.co/uL2e7PsuPx pic.twitter.com/AZmH2mDvNBAI-generated video projects are developing, and now you can try it yourself: Berkeley PhD students @parasjain and @ajayj_ are working on a new text-to-video model with @genmoai -Upload a picture
-Add prompts
-Generate immersive clips http://
genmo.ai -
Perplexity.ai: Conversational AI Search Engine with Citations
By
–
Interesting new tool https://t.co/vVLmtVpv3i is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like.
— AI Breakfast (@AiBreakfast) 20 janvier 2023
Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations. pic.twitter.com/vpcYInGoTDInteresting new tool http://
perplexity.ai is an AI-chat based "conversational search engine" similar to what the ChatGPT/Bing integration might look like. Like most things in text-gen AI, answers aren't always "accurate", but the responses do include citations. -
OpenAI CEO proposes AI tailored to user’s written values
By
–
OpenAI CEO @sama on personalized AI models:
— AI Breakfast (@AiBreakfast) 19 janvier 2023
"You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI." pic.twitter.com/6Oa3fyMWVDOpenAI CEO @sama on personalized AI models: "You should be able to write up a few pages of here's what I want, here are my values, here's how I want the AI to behave, and it reads it and thinks about it and acts exactly how you want, because it should be your AI."
-
AI bridging to physical world may define decade
By
–
Bridging AI to the physical world may end up defining the decade. You may, one day, be able to download physical labor. For more on the developing world of AI, check out the weekly newsletter:
-
Robotor bridges AI art generation to physical sculpture
By
–
Robotor is one example of a possible bridge to the physical world for AI art generation. "We are entering a new era of sculpture, which no longer consists of broken stones, chisels and dust, but of scanning, point clouds and design." http://
robotor.it -
OpenAI Dactyl uses ADR to solve a Rubik’s Cube
By
–
2. OpenAI Dactyl project
— AI Breakfast (@AiBreakfast) 19 janvier 2023
Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube.
(cont.) pic.twitter.com/3Vna5HWNVV2. OpenAI Dactyl project Automatic Domain Randomization (ADR) for robotics endlessly generates progressively more difficult environments in simulation. ADR exposes the neural network to many different variants of the same problem, in this case solving a Rubik’s Cube. (cont.)