Topic
OpenAI
OpenAI GPT-RED and Fudan AgentCyberRange Usher in the Era of AI Self-Play Cybersecurity
AI Security
Former OpenAI CTO Mira Murati Launches Thinking Machines' Inkling: Open-Weights Multimodal AI Model with 975 Billion Parameters and Self-Training Demo
OtherChatGPT Returns to WhatsApp After EU Forces Meta to Reopen Business API to Rival AI Bots
OtherTired of Instant Messaging, Users Flock to Virtual Pigeons: Roost App Revives Postal Delivery with Birds and Animals
Roost is a new messaging application that deliberately replaces instant delivery with delayed virtual bird flights, turning the wait itself into the core user experience. Users select couriers ranging from fast falcons to slow snails and turtles, with delivery times calculated from real animal speeds and actual geographic distances displayed on an interactive map. The app combines messenger functions, social networking, and a collectible creature-training game featuring over one thousand birds and animals that can be leveled up through mini-games. Created by Ticketmaster trust and safety manager Logan Mendelson as a small experiment, Roost went viral after a Threads post by Karen Lewis, growing from 10,000 to over 300,000 users in weeks without any paid marketing. Despite its playful design, the service raises notable privacy concerns because it requires precise location data, stores messages in plaintext, and sends content to OpenAI for moderation while lacking end-to-end encryption.
Why Simple ChatGPT Wrappers Are Losing Value: AI Model Makers Integrate Features, Pushing Startups to Control Full Industry Processes
Early startups that built businesses by wrapping large language models like ChatGPT are rapidly losing their edge as OpenAI, Anthropic, and other developers directly embed specialized capabilities into their core platforms. According to the venture firm NFX, startups must now move beyond narrow add-on tools and instead take ownership of complete industry workflows, such as building full legal services or end-to-end supply chain management systems. The initial wave of wrapper companies focused on tasks like generating ad copy, handling customer support, assisting sales teams, and searching legal documents, expecting base models to remain limited in specialized domains. This assumption proved incorrect as major AI providers added robust features for coding, document handling, and content creation, eroding the competitive advantage of single-task startups. Notable examples include Jasper, which raised $125 million at a $1.5 billion valuation before pivoting after revenue misses and layoffs, alongside more resilient firms like EvenUp, Blitzy, Tomo, and Seso that embed AI deeply into comprehensive services. Even large legal practices such as Freshfields are partnering directly with model developers, though these efforts require significant compute resources and in-house expertise. NFX emphasizes that deep domain knowledge, proprietary data, established sales channels, and control over entire service pipelines are far harder to replicate than isolated AI features.