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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.
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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
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When agents merge code every few seconds, version control becomes the next bottleneck for engineering organizations everywhere.
A day-one global rollout across Google's products puts a new frontier model straight into consumer and enterprise hands.
The agents wrote thousands of programs, coordinated over chat, and debugged each other's errors across a 27-hour run, offering a concrete look at autonomous agent teamwork.
Benchmark records, fast third-party availability, and autonomous agents that coordinated without any human help put Google's newest model at the center of the day's AI conversation