Apple CEO Ternus Defends AI Strategy as OpenAI Seeks Up to $20B

Apple Chief Executive Officer John Ternus defended the Cupertino company's product-focused artificial intelligence roadmap in an interview with Wired's Steven Levy, stating that Apple refuses to "ship AI for AI's sake," according to Anthony Ha in TechCrunch — Artificial Intelligence. Elsewhere in the AI and scientific computing ecosystem this weekend, OpenAI pared its latest fundraising target to seek up to $20 billion (The Press / CNBC), while Stanford University researchers unveiled field results from SmokeCast, a predictive model and sensor network that forecasts toxic airborne metals in wildfire smoke (The Almanac and Mountain View Voice).

Apple CEO John Ternus on AI Integration and OpenAI’s $20 Billion Round

Ternus, a longtime Apple hardware executive who officially succeeded to the CEO role at the beginning of September 2026 following the summer launch of Apple's upgraded Siri assistant, told Levy that while "everyone has an opinion" on Apple's pace in generative AI, "I really like where we're at."

Emphasizing that Apple is "absolutely going to leverage AI" across upcoming products, Ternus said users should not have to think about whether a capability relies on AI or traditional software: "What matters is, did we build something that they really love?" Asked whether autonomous AI agents could eventually render standalone apps obsolete, Ternus added that crafting software and hardware products remains "a deeply human and personal thing."

Meanwhile, in frontier model financing, OpenAI is now seeking up to $20 billion in its latest fundraising round, according to a person directly familiar with the transaction cited by CNBC and The Press. Because the funding round remains in progress and has not yet closed, final figures remain subject to change.

Stanford’s SmokeCast Model Tracks Toxic Metals in Wildfire Plumes

At the Stanford Doerr School of Sustainability, soil scientist and biogeochemist Scott Fendorf — who began studying how intense wildfire heat transforms benign soil metals into carcinogenic airborne particles after Sonoma County's 2019 Kincade Fire — is leading the development of SmokeCast, one of more than 110 active projects backed by the Stanford Sustainability Accelerator.

Working alongside postdoctoral researcher Alex Honeyman and graduate student Mark Leone, the team built a briefcase-sized prototype housing air filters and satellite-linked sensors that measure temperature, humidity, and carbon monoxide while transmitting real-time data to a smartphone app. In early July 2026, Honeyman and Leone mounted the unit onto a Colorado firetruck dispatched to a wildfire 300 miles away. Over a 14-day deployment, the app helped the crew select protective gear, calculate spot-fire ignition probabilities, and estimate the likelihood that soils within 10 miles of the blaze would release toxic metals before returning a physical sample cartridge to Fendorf's lab. The Stanford team plans to outfit dozens to hundreds of firetrucks over the next few years and aims to deliver an upgraded regional and national forecast within 1 year.