Scott Baggett’s Post

We decided to spend the weekend seeing how quickly we could build a clone of Perplexity, the AI search engine, on Salt. Then we open sourced it. Last week we released the public beta of Salt AI. The driving idea behind Salt, which lets users build, test, and deploy powerful workflows on an elastic GPU cloud, has always been to accelerate AI development. By that, we mean providing a development environment and open ecosystem that makes it easier and faster to go from idea, to proof-of-concept, to scalable, production-ready app. Our most active users, of course, are the members of our own team, who are always exploring the next exciting use case for the Salt platform. In that pursuit, we decided to spend the weekend seeing how quickly we could build a clone of Perplexity, the AI search engine. Like many others, we’re excited about Perplexity challenging Google in the search space by delivering a fantastic LLM-powered search experience. Perplexity recently raised $250M on an extremely impressive $3B valuation. We’re big fans of their product and agree that the best way to search in 2024 is through a conversational interface. But it’s not just Perplexity — a revolution is underway when it comes to the rapid development of AI-powered applications that can fetch enormous valuations and deliver huge value to their customers. The faster that innovators can ideate, prototype, iterate, and collaborate, the more we will see highly specialized and targeted AI solutions – with applications in healthcare, finance, logistics, commerce, and beyond – come from anywhere. We believe these solutions will be built on Salt. So we accepted our own challenge and set out to build our Perplexity clone over the weekend (spoiler alert…we did). Then we open sourced it to see what the community does next. Check out the video below to see how we did it. https://lnkd.in/gqgMqn5h

We're excited to announce the launch of Salt AI, a new platform bringing together the world's best AI developers with the people and organizations that can benefit from their work. Our GPU infrastructure automatically scales up to meet the needs of tens of millions, and scales down to save costs, so the latest cutting-edge AI workflows can grow from proof-of-concept to seamlessly powering the products and services of the future. Learn more about our vision to transform how software is made and shared, where we're starting, and how you can get involved in our blog: https://lnkd.in/gTqquGQw

Thanks Dean Takahashi for the great article and your support in VentureBeat today! Plai Labs has unveiled its AI-powered text-to-video tool, called PlaiDay, for making personalized 3D-animated videos. Awesome working with the Josh Brooks, Chris DeWolfe, Aber Whitcomb, Jim Benedetto, Charlie Basil, Chase Richter, Lilian Peterson, Nick Darabi, Asher Brooks,Alex Duffy, Scott Baggett, Anabel Krishnan #AI, #generativeai, #PlaiDay, #PlaiLabs