The New York Times expanded its Cooking app on iOS with an artificial intelligence feature that suggests ingredient substitutions and alters recipes. This roll-out builds on existing automated options that adjust serving sizes and convert measurements for subscribers. Despite the editorial team's extensive testing, an overwhelming majority of reader comments expressed anger over automated content, data center environmental impacts, and the inability to hide the interface.
Key points
Paying subscribers object to automated software replacing or supplementing the human-crea…: Paying subscribers object to automated software replacing or supplementing the human-created culinary expertise they expect from the publication.
Editorial leadership maintains that the optional digital tool is designed to enhance rath…: Editorial leadership maintains that the optional digital tool is designed to enhance rather than undermine the tactile home cooking experience.
The software expands upon earlier tools implemented within the platform to automatically…: The software expands upon earlier tools implemented within the platform to automatically convert measurements and adjust recipe serving sizes.
Sources checked by our analysis pipeline: 1
Sometimes, adding just one new ingredient to a stew can ruin the whole thing.11Olives, yecch. And that’s how at least some New York Times readers see its addition of AI features to its popular Cooking app.
Here’s Genevieve Ko, NYT Cooking senior editor and columnist, explaining the new features:
I naïvely assumed A.I. wouldn’t affect my work as a recipe developer and my role at NYT Cooking, where I oversee the editorial side of our recipes and related stories. But as artificial intelligence improved, our product and engineering colleagues saw its potential to help us create features Cooking users wanted.We’ve just launched our latest tool, which gives cooks the ability to apply modifications to our recipes. We’re rolling it out gradually to monitor how it performs (whether it’s working fast enough, for instance) and to see how people are using it (as of now, we’re getting a lot of requests for ingredient substitutions). The tool is currently available to all Cooking subscribers on our iOS app, and we plan to make it available more broadly soon.
The technology giant is offering its most intelligent frontier model to specialists aiming to strengthen their digital security postures. Early access provides a temporary cost advantage for organizations testing the system before service fees double. This specialized deployment targets critical defense capabilities using tailored artificial intelligence infrastructure.
Advanced technology from leading American developers continues to find its way into competing overseas development pipelines. Regional artificial intelligence organizations in China have integrated OpenAI's Astra into their workflows to build and train their proprietary systems. This activity highlights the ongoing reliance on foundational Western architectures to enhance foreign machine learning capabilities.
Researchers have transformed neural network forward passes into a deterministic computing environment by implementing a hardware architecture directly into open-source model weights. This architecture requires no external software runtimes or external sandboxes to execute complex code like C and MicroPython. The breakthrough demonstrates novel computing paradigms while introducing fresh considerations for model safety and embedded auditing.