Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Wide architectural photograph of six freestanding Ionic limestone columns on a university quad with complete stone entablature spanning their tops, the central frieze carved with a classical bas-relief Apple logo and the word APPLE in Roman serif capitals, warm beige limestone texture, late afternoon golden hour light, red brick academic buildings in background, green lawn, clear blue sky, photorealistic campus monument style.
Apple Plans to Use 1.2 Trillion Parameter Google Gemini Model to Power New Siri – Bloomberg https://www.bloomberg.com/news/articles/2025-11-05/apple-plans-to-use-1-2-trillion-parameter-google-gemini-model-to-power-new-siri
Apple just leaked the size of Gemini 3 Pro – 1.2T params https://x.com/scaling01/status/1986158792128508218
Meta, Google, Apple – they’re all building AI replicas that capture your face, expressions, movements, personality. This goes way beyond Face ID. They’re basically creating a version of you that knows you better than you know yourself. The fidelity is remarkable too. We went https://x.com/bilawalsidhu/status/1985398951407722901
New Version of Siri to ‘Lean’ on Google Gemini – MacRumors https://www.macrumors.com/2025/11/02/new-version-of-siri-to-lean-on-google-gemini/
Apple Sr. Director Jeff Norris on how Vision Pro persona went from looking like cadavers to life-like avatars: “”First thing I’d want to point out is that we changed the the whole rendering approach of Personas to a completely new technique that’s based on Gaussian splats.”” The https://x.com/bilawalsidhu/status/1984267919035957704
The secret’s out — Apple’s persona avatars and 3D photos owe their quality boost to none other than Gaussian splatting. “”In our meeting, Norris explains that Persona technology uses Gaussian splatting to create those surprisingly convincing 3D facial scans.”” “”Norris says Apple https://x.com/bilawalsidhu/status/1983949413325402542
Your Mac is about to run inference like a datacenter. Coming soon to MLX-Swift: Continuous batching: the fastest way to handle multiple inference streams locally. It starts with regular inference and seamlessly upgrades to batched mode when new requests arrive. The best of both https://x.com/ronaldmannak/status/1985693207003275729
The Sora app is now available on Android in: Canada Japan Korea Taiwan Thailand US Vietnam https://x.com/soraofficialapp/status/1985766320194142540
Leave a Reply