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Here’s what’s brewing in AI today:
Dario’s Picks
The most important news stories in AI this week
Claude artifacts available for everyone, and on mobile. Artifacts help you make little apps using just English; you have a dedicated window inside Claude to build and improve your apps. The feature is now available to all users (also free users) and on the iOS and Android apps. Anthropic claims tens of millions of Artifacts have already been created since the launch in June.
Anthropic highlighted these use cases for Artifacts:
Create interactive prototypes for fast product testing (for product managers)
Powerful visualizations (for designers)
Build campaign dashboards (for marketers)
Visualizing sales pipelines with forecasting (for sales teams)
Making architecture diagrams from codebases (for developers)
Source: Anthropic
Why it matters Artifacts might be my favourite innovation this year. That being said, I feel like they're a bit like 3D printers at this point: they can spit out any app you ask them to - which is incredible - but people aren’t using the end product too much… yet. Although apps are easy to create, it’s not straightforward to deploy them to the web yet for non-technical folks (although entirely possible) nor hooking them up to real-time data, but it’s a big step forward in giving everyone the power to create useful tools for whatever use case they imagine.
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One-minute tutorial: How to build your own AI characters on Instagram. @rpn takes you through the process of enabling and building characters within Instagram's AI studio in this quick tutorial.
PS it’s only available in the US so far.
Why it matters AI Studio and the ability to create characters and easily share them through Instagram, Facebook and WhatsApp are a big bet from Meta. My first impressions is that they’re like primitive versions of custom GPTs, but with a lot better distribution. Content creators can also use it to create an AI of themselves, which lets their followers chat to “them” at any time without any effort on the creator's end.
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The classic shooter game DOOM, simulated by AI. Researchers made a game engine powered by a neural model; it can simulate the game DOOM at 20fps in real-time by predicting the image of the next frame. This was built by first teaching an AI to play the original game, then using a diffusion model produce new frames conditioned on past frames and actions.
Source: gamengen.github.io
Why it matters Diffusion models are the same models used in image generation (DALL-E, Midjourney, etc.). These models can also be used to simulate games in real-time. As the tech gets more advanced, it’ll enable higher game complexity, resolution, fps, etc. I wonder at what point we’ll get to GTA-level graphics.
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