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Perplexity Computer now connects to your health apps, wearable devices, lab results, and medical records. Build personalized tools and applications with your health data, or track everything in your health dashboard.

Perplexity declared war on the biggest open source AI movement of 2026. This changes how millions of people will interact with AI agents forever. Here is what happened and why almost nobody is talking about the real implications. OpenClaw exploded in January and it became one of the fastest growing open source projects in GitHub history.​ The premise was radical. An AI agent that runs on your own machine, connects to your messaging apps and actually does things while you sleep.​ Developers went wild and over 700 community built skills appeared on ClawHub. People were negotiating car deals, filing legal rebuttals, and building entire social networks run by AI agents.​ Then Perplexity showed up with something different. A cloud powered system that coordinates 20 frontier AI models at once.​ They call it Perplexity Computer and this week they went even further.​ They announced Personal Computer. An always on AI agent that lives on a Mac mini in your home, connected to your local files and Perplexity's secure servers around the clock.​ It never sleeps or stops working and you control it from any device, anywhere.​ But the real story is what CEO Aravind Srinivas said during the Q&A session at their inaugural developer conference in San Francisco.​ He called Perplexity Computer a product "meant for serious people."​ He talked about Uber drivers asking him when they could stop driving and let AI make them passive income. That, he said, is the actual vision and then he went directly after OpenClaw. He said even a former Perplexity engineer struggled to get OpenClaw running on their own machine.​ He warned about unvetted malware being imported through OpenClaw's community skill hub, with no control over what people are contributing.​ He called the hobbyist approach of managing 700 API keys and sub agent configuration files a dead end for mainstream adoption.​ And four years of building world class orchestration gives Perplexity something an open source project cannot match. Enterprise grade security for solopreneurs and businesses alike.​ On one side, OpenClaw represents radical openness. Your data stays local, you choose your own models, you own everything and the community builds the tools. On the other hand, Perplexity is betting that most people don’t want to be system administrators. They want results, security guarantees, and something that just works out of the box. The Personal Computer runs on Perplexity's SOC 2 certified infrastructure. Every sensitive action requires user approval, every action is logged, and there is a kill switch. The enterprise version connects natively to Snowflake, Salesforce, HubSpot, and hundreds of other platforms. Teams can query data warehouses and build financial models without waiting on an analytics team.​ The real question is not which product is technically better. The real question is whether the future of AI agents looks like Linux or looks like the iPhone. Because the Uber driver Srinivas described is not going to configure sub agent routing tables. That person needs something that works the moment they open it. And if Perplexity captures that market, the open source movement becomes a niche for developers instead of a revolution for everyone. That is the billion dollar bet being made right now.

One of the most powerful AI scientists on Earth walked out of Mark Zuckerberg's company. And he just raised $1.03 billion to prove the entire AI industry is wrong. His name is Yann LeCun. He's a Turing Award winner, one of three men called the Godfathers of AI. For 12 years, he built Meta's AI research lab from scratch. Then last November, he told Zuckerberg he was done. LeCun believes ChatGPT, Claude, Gemini every major AI chatbot on Earth is built on a fundamentally broken architecture. His words: "Large language models are a statistical illusion, impressive, yes, intelligent, no." Zuckerberg hired Alexandr Wang, the 27-year-old founder of Scale AI, as chief AI officer. LeCun's vision no longer fit the plan. So he left to build it himself and the startup is called AMI Labs. AMI stands for Advanced Machine Intelligence. His quote: "Silicon Valley is completely hypnotized by generative models. So this work must be done outside Silicon Valley." What is he building? Something called "world models." AI that learns by watching reality, video, sensors, physics not by reading the internet. AI that understands cause and effect like a child does. Here's the difference, ChatGPT predicts the next word. A world model predicts what happens next in the real world. It doesn't hallucinate because it doesn't guess but instead it simulates. That's the gap between a storyteller and a physicist. The seed round is $1.03 billion and valuation is $3.5 billion. It's the largest seed round ever raised by a European company. They originally asked for $500 million, investors doubled it. The first real-world application? Healthcare. LeCun's CEO used to run an AI medical startup called Nabla. They saw firsthand how LLM hallucinations could kill patients. AMI's world models are designed to never hallucinate and Nabla gets first access. LeCun isn't promising a product next quarter. He told reporters this is years of fundamental research. A billion dollars just to prove a theory right. That's either visionary or insane and there's no in between.

If your friends aren't talking about: • Claude • Perplexity Computer • Openclaw • Fitness • Investing • Ownership • Automated workflows It's time to find new friends.

One of the most powerful AI scientists on Earth walked out of Mark Zuckerberg's company. And he just raised $1.03 billion to prove the entire AI industry is wrong. His name is Yann LeCun. He's a Turing Award winner, one of three men called the Godfathers of AI. For 12 years, he built Meta's AI research lab from scratch. Then last November, he told Zuckerberg he was done. LeCun believes ChatGPT, Claude, Gemini every major AI chatbot on Earth is built on a fundamentally broken architecture. His words: "Large language models are a statistical illusion, impressive, yes, intelligent, no." Zuckerberg hired Alexandr Wang, the 27-year-old founder of Scale AI, as chief AI officer. LeCun's vision no longer fit the plan. So he left to build it himself and the startup is called AMI Labs. AMI stands for Advanced Machine Intelligence. His quote: "Silicon Valley is completely hypnotized by generative models. So this work must be done outside Silicon Valley." What is he building? Something called "world models." AI that learns by watching reality, video, sensors, physics not by reading the internet. AI that understands cause and effect like a child does. Here's the difference, ChatGPT predicts the next word. A world model predicts what happens next in the real world. It doesn't hallucinate because it doesn't guess but instead it simulates. That's the gap between a storyteller and a physicist. The seed round is $1.03 billion and valuation is $3.5 billion. It's the largest seed round ever raised by a European company. They originally asked for $500 million, investors doubled it. The first real-world application? Healthcare. LeCun's CEO used to run an AI medical startup called Nabla. They saw firsthand how LLM hallucinations could kill patients. AMI's world models are designed to never hallucinate and Nabla gets first access. LeCun isn't promising a product next quarter. He told reporters this is years of fundamental research. A billion dollars just to prove a theory right. That's either visionary or insane and there's no in between.