Perplexity's AI Agent Now Has a Brain That Learns From Its Own Mistakes
Brain is a self-improving memory layer that tracks what Computer did, what worked, and what failed—then uses it overnight to make the next task faster and cheaper.
MarktechPost·
Perplexity has launched Brain, a self-improving memory system for its Computer agent. Instead of remembering the user, Brain remembers the agent's work — what worked, what failed, and what corrections got made. It builds a traceable context graph, reviews it overnight, and reports early gains in correctness, recall, and cost. The post Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight appeared first on MarkTechPost.
Read full articleBrain is a self-improving memory layer that tracks what Computer did, what worked, and what failed—then uses it overnight to make the next task faster and cheaper.
Perplexity's Brain system could revolutionize AI interactions by enhancing personalized user experiences and optimizing workflow efficiency. The post Perplexity unveils Brain, a self-improving memory system for its AI Computer platform appeared first on Crypto Briefing.
We’ve had OpenAI, Anthropic, Microsoft and Palantir enter the legal vertical. Perplexity – which has dabbled in our field before – is now going into ...
"A full sustained flip is less likely without a major rotation in capital," Perplexity claimed.
Salesforce has agreed to acquire AI customer service platform Fin, formerly known as Intercom, for $3.6 billion, with the deal expected to close in early 2027. Fin offers an AI agent that resolves customer queries across live chat, WhatsApp, SMS, phone, Slack, and other channels. Salesforce said it intends to integrate Fin’s technology and team […]
When I returned to my computer five minutes after giving Gemini a lengthy prompt, I had two things: a functional app in a preview window, and a message about a bug. "~ Channel is unrecoverably broken and will be disposed!" Sounded bad! But right below it was a button to fix the bug. Pretty weird that I just instructed a computer to build a whole app for me with a single prompt, but it needed me to click a button to fix a bug. I did anyway, and in 233 seconds Gemini reported back that it had succeeded, using words like "blockages" and "race conditions." I didn't understand a bit of it. It was thrilling. This was my second or third attempt a … Read the full story at The Verge.
Deep Research now lives inside Perplexity Computer, breaking hard questions into subtasks and routing across 20+ frontier models. The post Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards appeared first on MarkTechPost.
Modern AI systems have evolved beyond the simple chatbots that quickly became popular. Now they use semantic tools to manage workflows and link machines to machines, providing a flexible and effective framework for the next generation of business automation. What you used to build in Microsoft’s Power Platform or construct inside Biztalk is now an agent, built around large language models (LLMs) that can parse both your data and the APIs that you want to use your data with, orchestrating workflows with a level of autonomy that traditional tooling can’t match. That shift has offered new opportunities, much like those that came with business platforms like Microsoft Dynamics and Salesforce. Here, tools built to solve one set of business problems could be turned into applications that could be sold to other companies. What worked for you to solve one of your problems could now be an added revenue stream, sold through platform marketplaces that helped customers manage installations and cus