HTC said on December 22 that its new VIVE Eagle AI smartglasses will support multiple AI platforms including Google’s Gemini and OpenAI models instead of a single in‑house assistant. Priced at about US$512 and launched this month in Hong Kong, the glasses will roll out to Japan and Southeast Asia in early 2026 and later to Europe and the US.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
HTC’s VIVE Eagle is notable less for the hardware than for the platform stance: it’s one of the first mainstream smartglasses to treat AI assistants as interchangeable, pluggable services. By supporting Gemini, OpenAI and potentially others on a single device, HTC is betting that users will want to swap between models the way they switch apps today. If that mindset spreads, it weakens the lock‑in ambitions of vertically integrated ecosystems like Meta’s smartglasses and pushes the frontier labs to compete on capability, latency and cost more than on hardware bundling.([reuters.com](https://www.reuters.com/world/asia-pacific/htc-bets-its-open-ai-strategy-drive-smartglasses-sales-2025-12-22/))
From an AGI‑race perspective, this is another small step toward “embodied” AI in daily life: cameras, microphones and displays on your face, backed by high‑end models in the cloud. While VIVE Eagle itself won’t move the frontier, it expands the installed base of AI‑native devices that can justify continued investment in real‑time multimodal inference. It also highlights the geopolitical twist: HTC is cautious about entering mainland China because foreign AI services face data‑localization and access barriers there.
If multi‑model hardware takes hold, it could give second‑tier labs an on‑ramp to end users without owning a device platform, while forcing the big players to optimize for interoperability rather than walled gardens.
SoftBank is working to deliver a previously agreed $22.5 billion multi-tranche investment into OpenAI to fund large-scale AI data center projects.
OpenAI is in early-stage talks to raise up to $100 billion in new funding that could lift its valuation to roughly $750–830 billion, according to multiple media reports citing unnamed sources.
DOE signed nonbinding MOUs with 24 AI and compute organizations to apply advanced AI and high-performance computing to Genesis Mission scientific and energy projects.
Google Public Sector and Google DeepMind will provide Gemini-based AI platforms and tools to DOE’s Genesis Mission, giving all 17 U.S. national laboratories secure access to frontier models such as Gemini for Government and the AI co-scientist system.
Preliminary talks for a potential funding round of up to $100 billion that would value OpenAI around $750 billion.


