Digital
Luma AI Unveils Ray3.14, revolutionising AI video creation
MUMBAI / PALO ALTO: Luma AI has raised the bar for AI video with the launch of Ray3.14, the latest update to its acclaimed Ray3 model. Built for professional creators, the model delivers native 1080p video, generates content four times faster, and slashes per-second costs by three, effectively ending the long-standing trade-off between quality, speed, and price.
Ray3.14 is designed for animation-heavy and cinematic workflows, offering unmatched stability, motion fidelity, and consistency across frames. While other models often struggle with flicker, drift, or inconsistencies, Ray3.14 keeps characters, environments, and styles coherent, producing smooth, production-ready outputs that can move straight into editorial and distribution pipelines.
The model’s advanced reasoning engine now applies even more powerfully to animation and professional video, maintaining detail and coherence across complex scenes. This allows creative teams to shift from experimentation to execution with confidence, whether producing commercials, cut-downs, or full-length content.
“Ray3.14 is built for creators who demand animation and video to behave like real production assets. By combining native 1080p, faster speeds, and cost-effective per-second pricing, we are giving filmmakers and advertisers a tool they can trust for real-world workflows,” said Luma AI CEO and co-founder Amit Jain.
With its combination of speed, stability, and affordability, Ray3.14 sets a new standard for AI-powered video, making professional-grade animation and video accessible at scale while giving creative teams the freedom to iterate faster and produce more polished work than ever before.
Digital
OpenAI’s Stargate lead Peter Hoeschele exits with two senior leaders
Trio behind compute push set to join new startup amid leadership reshuffle
SAN FRANCISCO: Peter Hoeschele, a key figure behind OpenAI’s early Stargate data centre initiative, has exited the company, according to a report by The Information.
The departure is part of a broader leadership shift, with two other senior executives, Shamez Hemani and Anuj Saharan, also set to leave in the coming days. All three are expected to join the same new startup, although details about the venture remain under wraps.
The trio played a central role in OpenAI’s Stargate effort, an initiative aimed at building large-scale data centre capacity in-house to reduce reliance on external infrastructure providers. Their exits mark a notable moment for the company’s compute strategy as it continues to scale rapidly.
OpenAI spokesperson said in a statement to The Information, “We’re grateful for the contributions Peter, Shamez, and Anuj have made to OpenAI and wish them the very best in what comes next.” The company also pointed to the recent appointment of Sachin Katti to lead its industrial compute organisation, signalling continuity in its infrastructure roadmap.
OpenAI has indicated that it does not plan to directly replace Hoeschele’s role, suggesting a possible restructuring of responsibilities within the team.
As competition intensifies in the race to build next-generation AI systems, leadership changes in core infrastructure teams are likely to draw close attention. For now, the spotlight shifts to what this departing trio builds next, and how OpenAI adapts as it scales its ambitions.
