Welcome to Replicate’s weekly bulletin! Each week, we’ll bring you updates on the latest open-source AI models, tools, and research. People are making cool stuff and we want to share it with you. Without further ado, here’s our hacker-in-residence deepfates with an unfiltered take on the week in AI.
Editor’s note
Open source does not slow down. New models are released as fast as I can try them out. There’s so much to do, so many new creative tools in our hands. Every individual can now be a startup, a brand, a publisher, a movie studio, all from their laptop or their phone.
These new AI tools make it easier to generate new things. It’s even become the buzzword in some circles, “GenAI”. It’s certainly more impressive, and more obvious when a neural net generates something than when it just recognizes patterns in data. But they’re the same thing: we ask the model to spit out patterns where there aren’t any, and it gives us the data it learned to recognize. The model is a mirror of the world.
There was a thread today about how to think about ai application development from Anton Troynikov, co-founder of the vector database company Chroma. It’s good advice, you should read it. The bit I want to highlight here is slide 3:
