Pi Durable is an experimental package built specifically for long-running, durable, and malleable agents that can run anywhere. It can run anywhere, can be reached from different surfaces, supports infinitely long conversations, survives catastrophic internal and external failures, and lets multiple humans steer the same agents. It is a framework for building any agentic application, including coding agents.
AI shopping could reduce ecommerce returns by helping shoppers resolve uncertainty before they buy. Adobe found that 69% of consumers who used AI for shopping said they were less likely to return an AI-assisted purchase, while AI-referred traffic converted 60% higher than non-AI-referred traffic. Merchants can improve these results by giving AI assistants detailed product information such as specifications, dimensions, compatibility, variants, delivery estimates, reviews, and FAQs. Better product data can help AI recommend products that fit shoppers' needs more accurately, potentially producing both more sales and fewer returns.
Data from 9 million AI answers shows that most common GEO assumptions are wrong. Sentiment shows no positive link to citations, and listicles lose out to ordinary, thorough pages. YouTube delivers the biggest third-party lift at 2.8x, ahead of LinkedIn and Reddit, while up to 58% of citations never reappear. Up to 75% of answers citing a brand's page never name the brand, so citation counts alone overstate impact. Volatility tracks the brand far more than the platform, and the most stable performers share deep topical coverage and strong third-party mentions.
Meta is one of the very few companies that can monetize a personal agent through advertising without ever showing an ad inside the agent itself. The company can keep ads out of the Muse app and still get paid for it on Facebook and Instagram. Every Muse errand can be an incremental signal. Meta can indirectly monetize Muse until enough demand has been aggregated for it to start with direct monetization.
56% of people who shop with AI prefer recommendations that draw on creator reviews. Creators matter most early, building confidence and shortlists, while ratings and retailer data still carry the final purchase decision. Shoppers want AI to prioritize everyday customers sharing real experiences (52%) over celebrities (13%), and only 21% say a large following makes a creator credible. Interest falls with age, from 65% among Gen Z and Millennials to 34% among Boomers.
David Heinemeier Hansson, the creator of Ruby on Rails, recently announced that 37signals, a company known for its software craft, was done with writing code by hand. The maturation of AI tools has made it possible for the company to embrace a future where coding by hand is almost entirely absent. AI creates new business models and revenue streams and disrupts traditional software. Companies are now investing in innovation and are willing to pay top-of-market for software engineers who can help them build AI products or become AI-native.