News on image generation, video models, spatial computing, and how machines are learning to see and interpret the physical world.
Hanging silently on my living room wall, the Samsung Frame Pro cycled through Monet's water lilies, looking every bit the gallery piece. But switch to Netflix, and the real test begins.
Imagine Val Kilmer, voice gravelly and eyes fierce, stepping back on screen years after his death. AI makes it real, breathing life into a role tailored for the legend himself.
AI's cranking code quicker than you can type. But without sharp humans steering, it's a recipe for bloated disasters.
SAP just dropped RPT-1, betting big on one model to handle every enterprise table. But does this transformer twist on TabPFN deliver the generalization promised?
Forget the endless YAML tweaks and server wrangling. LangGraph's deploy CLI just made production AI agents as easy as 'git push'. This isn't hype—it's a quiet revolution in agent ops.
Snow whips across the Olympic slopes as Team USA taps Google Cloud AI for that razor-edge advantage. Meanwhile, in New Delhi, Sundar Pichai ignites dreams of AI for all.
Data scientist rage-quits another mismatched dataset. AWS swoops in with SageMaker's offline feature store. Savior or sales pitch?
Google drops Gemini 3.1 Pro, promising genius-level reasoning. Demos dazzle, but benchmarks whisper caveats.
WASD. Forward. The path ahead blurs into existence, a shaky video pretending to be a world. Google's Project Genie delivers this toy—but only if you're bankrolling their top AI tier.
Picture this: 800,000 videos, 8,500 hours of footage, indexed for natural language search in just 41 hours. AWS's Nova embeddings make it real—and dirt cheap.
Picture this: your Nova 1 Pro app humming along, then AWS says swap to the 'lite' version. Smells like a cost-cutting ploy dressed as progress.