Aravind Srinivas

Now, the last phase is, it turns out it's a great idea for AI to be given a full access to a computer.

Now, the last phase is, it turns out it's a great idea for AI to be given a full access to a computer.

so that it can do whatever you do on a computer on its own, essentially becoming the computer itself, an orchestra of everything AI can do today, every single capability each individual AI model has, be it GPT or Claude or Gemini or anything else,

so that it can do whatever you do on a computer on its own, essentially becoming the computer itself, an orchestra of everything AI can do today, every single capability each individual AI model has, be it GPT or Claude or Gemini or anything else,

An orchestra of all those capabilities, that's what perplexity computer is.

An orchestra of all those capabilities, that's what perplexity computer is.

And all these sub-agents that are running inside computer are the musicians.

And all these sub-agents that are running inside computer are the musicians.

The models are essentially the instruments.

The models are essentially the instruments.

And they're like hundreds of models out there, each having their own specialization.

And they're like hundreds of models out there, each having their own specialization.

Some are good at coding, some are good at writing, some are good at multimodal, visual synthesis, image generation, video generation, audio.

Some are good at coding, some are good at writing, some are good at multimodal, visual synthesis, image generation, video generation, audio.

But what matters is the end output, the music you play.

But what matters is the end output, the music you play.

That's the work AI gets done for you.

That's the work AI gets done for you.

And that's what perplexity computer is.

And that's what perplexity computer is.