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- ChatGPT Now Integrates With All Of Your Favorite Apps
ChatGPT Now Integrates With All Of Your Favorite Apps
PLUS: OpenAI’s Secret Hardware Project, Microsoft’s Health AI Push, and Samsung’s New Tiny Model Outsmarting LLMs
Welcome back to AI Horizons, your shortcut to the latest in AI, tech, and strategy. Here's what’s on deck today:
ChatGPT Apps + SDK Launch
Microsoft’s Healthcare AI Expansion
OpenAI x Jony Ive Hardware Project
Enterprise AI Adoption Surge
Samsung’s Tiny Recursive Model
Easily Make Ads with AI
FEATURED INSIGHT💡
OpenAI’s New “Apps in ChatGPT” + Apps SDK: Chat With Zillow, Canva, Spotify (and Build Your Own)

OpenAI is rolling out a new category: apps that live inside ChatGPT—interactive mini-experiences you can invoke by name (“Spotify, build me a Friday party playlist”) or that ChatGPT suggests at the right moment. Early partners include Booking.com, Canva, Coursera, Expedia, Figma, Spotify, and Zillow, with more coming later this year. Access starts today for logged-in users (Free, Go, Plus, Pro) outside the EEA/Switzerland/UK; EU support is “soon.”
For developers, there’s a preview Apps SDK, built on the Model Context Protocol (MCP), letting you define both logic and UI, authenticate existing customers, and ship richer, interactive flows, right in the chat. OpenAI plans submissions, a public directory, and monetization later this year, including support for the Agentic Commerce Protocol (instant checkout inside ChatGPT).
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ON THE HORIZON 🌅
OpenAI’s Secret Hardware Project with Jony Ive

Rumors are swirling that OpenAI is working with legendary Apple designer Jony Ive on a new line of AI-powered devices. According to reports, the first product may resemble a smart speaker without a screen, designed to bring ChatGPT’s intelligence into everyday life.
OpenAI has reportedly tapped Apple’s former suppliers like Luxshare and Goertek to develop hardware components and has hired several ex-Apple engineers for the effort. Other concepts on the table include smart glasses, a voice recorder, and a wearable AI pin, with the first device expected as early as 2026 or 2027.
The idea is to create a screen-free, conversational companion — a personal AI you can talk to naturally, without pulling out your phone. If successful, it could mark the beginning of a new category of context-aware, ambient AI devices, blending design and intelligence in a way that feels almost human.
LATEST IMPORTANT NEWS 📰
Microsoft’s Health AI Push with Harvard
Microsoft is upgrading Copilot to deliver trustworthy medical insights through a new partnership with Harvard Health Publishing. The update aims to make Copilot’s responses closer to what you’d get from a clinician, covering topics like chronic conditions and everyday wellness. Microsoft will license Harvard’s data and expand Copilot’s features to help users find providers and navigate coverage — part of its broader push to build AI expertise beyond OpenAI.
Enterprises Double Down on AI Adoption
Corporate AI spending keeps surging. Zendesk unveiled support agents that can handle 80% of customer inquiries, while Anthropic partnered with IBM and Deloitte to bring AI deeper into enterprise workflows. Google joined the race with its new AI-for-business platform. But speed has a cost. Australia’s government recently forced Deloitte to refund a report containing AI hallucinations, a reminder that AI governance still lags adoption.
The Billion-Dollar Infrastructure Boom
The AI gold rush depends on power and compute. Meta, Oracle, Microsoft, Google, and OpenAI are pouring trillions into data centers and GPU supply. Nvidia continues to dominate the hardware race, while Oracle’s massive cloud deals with OpenAI have made it a key AI infrastructure player. The takeaway: the battle for AI leadership now runs through energy grids and server racks as much as algorithms.
FOR THE TECHNICALLY INCLINED 🛠️
Samsung’s Tiny Model Outsmarts the Giants
Researchers at Samsung’s AI Lab in Montreal have unveiled the Tiny Recursive Model (TRM), a lightweight neural network with just 7 million parameters that outperforms massive language models on logic and reasoning benchmarks like ARC-AGI (a test of abstract problem-solving).
Instead of relying on scale, TRM uses recursive reasoning: it re-evaluates its own answers in small iterative loops, improving each time. This means it can solve complex puzzles with a fraction of the compute power and data typically required. While still experimental, TRM challenges the long-held assumption that bigger models are always smarter, showing that efficiency and clever architecture may rival brute force scale in the next phase of AI development.
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The AI Horizons Team
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