@AskPerplexity

Everything is Computer.

Joined January 2025
Computer can classify land use across a city from aerial photos. For Phoenix, it analyzed 203,883 tiles of public USDA imagery with Perplexity’s Decider API, achieving 98.8% accuracy against labeled OpenStreetMap data for $9.63 in API costs.
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FYI: Aravind Srinivas (@AravSrinivas) says there’s a 1-person company spending **~$1M/year** on Perplexity “There’s 1 solopreneur, literally a one-person company, spending upwards of a million dollars a year on our product.” “He’s making $3 million a year by automating newsletters for others.”
NEW: I sat down w/ Perplexity Founder & CEO Aravind Srinivas (@AravSrinivas) on why AI-native SMBs could drive the next American millionaire economic boom. @perplexity_ai, valued at ~$20B with ~$2B in reported funding, $750M in annualized revenue as of August, seeing 5x YoY revenue growth as it expands from search into autonomous agents. One example Aravind shared is a single-person company generating $3M in annual revenue while spending over $1M a year on Perplexity Computer. His thesis is that AI could fundamentally change the economics of building a business. Smaller teams, less capital, higher productivity, & entirely new business models. At the infrastructure layer, Aravind sees a shift toward local & hybrid inference, with AI agents operating across personal devices and the cloud. As context windows expand and workloads become more personalized, local compute becomes increasingly cost-competitive, while offering greater privacy, control & data sovereignty. We cover: › Why SMBs could become a major driver of US GDP growth › The shift from AI models to agents & recursive economics › Why Perplexity is betting on your Mac instead of building data centers › NVIDIA, Apple Silicon, local inference & sovereign AI › Why writing code is no longer the bottleneck, but problem-solving is 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Aravind Srinivas, Co-founder & CEO of Perplexity (01:30) Why Perplexity's brand is built on curiosity (04:47) Every great invention starts with one question (08:18) How to build a $1T company in America alone (12:36) The next big companies will be tiny (13:45) Is the American dream still alive? (16:28) Stop blaming users for bad prompts (22:55) How Perplexity quietly grew 5x (26:51) The solopreneur spending $1M a year on Perplexity (28:28) "We don't have competitors, we have contributors" (29:20) The data center is coming to your laptop (34:32) Orchestrating up with NVIDIA, down with Apple (36:11) What happens when your AI agent knows everything (39:17) Why Perplexity is skipping the data center race (41:25) Stop asking AI to write code, ask it to think (45:47) Perplexity’s answer to AI security (48:27) The Hugging Face incident & multi-agent threats (50:45) Turning everyone into a scientist (53:31) Why Perplexity isn’t chasing a billion users
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NEW: I sat down w/ Perplexity Founder & CEO Aravind Srinivas (@AravSrinivas) on why AI-native SMBs could drive the next American millionaire economic boom. @perplexity_ai, valued at ~$20B with ~$2B in reported funding, $750M in annualized revenue as of August, seeing 5x YoY revenue growth as it expands from search into autonomous agents. One example Aravind shared is a single-person company generating $3M in annual revenue while spending over $1M a year on Perplexity Computer. His thesis is that AI could fundamentally change the economics of building a business. Smaller teams, less capital, higher productivity, & entirely new business models. At the infrastructure layer, Aravind sees a shift toward local & hybrid inference, with AI agents operating across personal devices and the cloud. As context windows expand and workloads become more personalized, local compute becomes increasingly cost-competitive, while offering greater privacy, control & data sovereignty. We cover: › Why SMBs could become a major driver of US GDP growth › The shift from AI models to agents & recursive economics › Why Perplexity is betting on your Mac instead of building data centers › NVIDIA, Apple Silicon, local inference & sovereign AI › Why writing code is no longer the bottleneck, but problem-solving is 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Aravind Srinivas, Co-founder & CEO of Perplexity (01:30) Why Perplexity's brand is built on curiosity (04:47) Every great invention starts with one question (08:18) How to build a $1T company in America alone (12:36) The next big companies will be tiny (13:45) Is the American dream still alive? (16:28) Stop blaming users for bad prompts (22:55) How Perplexity quietly grew 5x (26:51) The solopreneur spending $1M a year on Perplexity (28:28) "We don't have competitors, we have contributors" (29:20) The data center is coming to your laptop (34:32) Orchestrating up with NVIDIA, down with Apple (36:11) What happens when your AI agent knows everything (39:17) Why Perplexity is skipping the data center race (41:25) Stop asking AI to write code, ask it to think (45:47) Perplexity’s answer to AI security (48:27) The Hugging Face incident & multi-agent threats (50:45) Turning everyone into a scientist (53:31) Why Perplexity isn’t chasing a billion users
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Computer used Blender to make a 3D environment with realistic physics and lighting, pulling information from Wiley and other web sources to match the geology and wildlife of the Calanques. Computer then planned and executed the camera movement and zoom to create the final video.
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Computer can enrich public-domain stories like Shakespeare's plays with illustrations, embedded videos, archival photos, historical context from web sources, and modern translations. Read the enriched story: read-macbeth.pplx.app
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Computer pulled 52,000 earnings call transcripts from 6,000 global companies and built a keyword search app on top of them. It orchestrated 3 frontier models to retrieve the transcripts, index every passage, and build the site.
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This week, @pavandavuluri showed hybrid intelligence on Windows: local workflows, cloud models with permission. MXC helps contain agent actions on the PC. Try Portable Computer for Windows by @perplexity_ai: apps.microsoft.com/detail/9p…
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Computer's new website editor lets you queue up requested changes to specific elements on the page. Once you submit your changes, Computer addresses them in the main thread, and then outputs the new website.
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Here are 5 videos that Computer generated from OpenAI's 722 math preprints. 1. Short Egyptian Fractions Shows how to build a fraction from different pieces with 1 on top, using as few of those pieces as possible.
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5. The Isoperimetric Conjecture for the Cubic Flat Three-Torus Compares balls, tubes, and slabs to find which encloses a fixed volume with the least surface area in a wraparound world.
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You can see the first 100 videos at 722.video. 100 more coming each day for the next week.
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2. Bounded-Step Walks on Gaussian Primes Uses a grid of prime-number stepping stones to ask whether jumps with a fixed maximum length can take you infinitely far.
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3. The Irrationality Exponent of Pi is 2 Explores how closely fractions can approximate π, and why larger denominators face a limit on how quickly those approximations can improve.
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Computer created explainer videos for all 722 preprints in OpenAI's mathematical manuscript release, totaling 93 hours of video. Watch the videos on YouTube: 722.video Here's how Computer tackled this task:
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All sessions used GPT-6 Astra for orchestration, on Max reasoning mode and in Fast mode. It took 14 hours from start to finish, with some videos undergoing 5+ rounds of automated iteration.
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The first 100 videos are available now, with 100 more coming each day. Watch them on YouTube: 722.video
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