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FULL INTERVIEW: Engineers Edward Coristine (Edward Coristine) and Tai Groot (Tai Groot 🐧) just released an ML model called Rampart for the National Design Studio. It's a local-first, open-source AI privacy model that runs entirely in the browser. They joined TBPN to explain the model and why the National... show more

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Chubby♨️

37,776 Aufrufe • vor 7 Monaten

We asked Dylan Field about organizational design in the age of AI, the importance of design. "As the inputs to software change, as more people are creating software, design becomes the differentiator." "Two decades ago, design was lipstick on a pig." "Design now is how you win or lose. We're going to start seeing so many more designer CEOs and design-oriented folks who are leading and shaping the future of software and companies." "Incredible designers are more in demand than ever. Good luck recruiting them because they have 50 other offers and infinite optionality."

We asked Dylan Field about organizational design in the age of AI, the importance of design. "As the inputs to software change, as more people are creating software, design becomes the differentiator." "Two decades ago, design was lipstick on a pig." "Design now is how you win or lose. We're going to start seeing so many more designer CEOs and design-oriented folks who are leading and shaping the future of software and companies." "Incredible designers are more in demand than ever. Good luck recruiting them because they have 50 other offers and infinite optionality."

TBPN

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GLM-5.2 running on Mac Studio Clusters or RTX GPU rigs isn't how Local AI will get mass adopted. For mass adoption we need to focus on two axes: 1. Intelligence/Speed Frontier. This is being tracked on local dot ai. Aggressive co-design is needed across the entire stack to push up the frontier specifically for local hardware. Better kernels, inference tricks like spec decoding, quantizing models, model routing. 2. Usability / UX. To use Local AI today, you need to install CLIs, select a model, a quantization, a harness that works best with that model, and you need to configure your inference engine. It's not very accessible. More work needs to be done on making this seamless, so the user doesn't even know the AI is running locally.

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