😿 We shared the wrong link to our podcast yesterday.
Check out the Product Hunt Weekly Digest podcast here. This week we spoke with Bobby Pinero. Bobby was an early Intercom hire and led the finance org as the company scaled from $1M ARR to $200M ARR and 700 employees. His Series A startup, Equals, was the Golden Kitty Award winner for Best Data Product in 2023.
As for the news…
🚙 After 15 years, Uber finally turned a profit.
🏢 Adam Neumann wants to buy WeWork out of bankruptcy.
💰 Weekend chatter: The country of Anguila is making millions from companies seeking “.ai” domains.
Apple released a new model for image editing

Apple teamed up with researchers at the University of California, Santa Barbara (Go gauchos!) to create a new AI model called MGIE (MLLM-Guided Image Editing).
The model can edit images — think of the stuff you do in Photoshop, but with plain English prompts. It can crop, resize, rotate, brighten, sharpen, remove objects, and so on, plus edit specific parts of your image, like changing the shape, size, and texture of items.
Perhaps the most interesting or “revolutionary” thing about the model is that it derives expressive instruction from your prompt.
Imagine using a phrase to ask AI to edit your photo for you. It might look something like this: “Make the sky more blue.” But MGIE can produce instructions like this: “Increase the saturation of the sky region by 20%,” explains Michael Nuñez for VentureBeat.
The model also works by creating a representation of the edit that the end user wouldn’t see, which it uses as a guide for how to manipulate pixels — “an end-to-end training scheme that jointly optimizes the instruction derivation, visual imagination, and image editing modules.”
That’s a lot for me to process too, but the key point is that the model is being recognized as a breakthrough for using multimodal large language models (MLLMs) for interpreting user input and making edits at the pixel-level. People are also loving that it's open-source. The project is on GitHub and a demo is on Hugging Face.
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