StoryFirst seen
Early side-by-side tests show the model, built by veterans of Google and Apple vision work, outscoring a rival on spatial tasks at low per-token prices.
Everything it touches
5 names 1 voices 1 source posts
The story’s neighborhood
Explore the graph, or choose a connection below.
Follow the evidence
This brief comes from Tech Twitter’s edited headlines. The posts below are the sources grouped with the story; statements in them belong to their authors.
humans somehow taught AI to write entire apps before teaching it to understand what's happening in a video @ElorianAI just launched new model: - understands images and videos, not just text - reasons about motion, objects, and spatial relationships - built by people who previously worked on Gemini and Apple's MM-1 interesting business opportunities here: robots that understand surroundings, AI agents that inspect factories, etc.Read original on X
Shared connections
It nearly matches the company's larger model at a fraction of the price, aimed at repeated, token-heavy tasks that AI products run constantly.
It nearly matches the company's larger model at a fraction of the price, aimed at repeated, token-heavy tasks that AI agents run.
Sources say China is asking both companies to stop, raising data security stakes for major AI labs.
Using AI in chip design could speed up the hardware work that trains the next generation of AI models.