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OpenAI Blog 5 months ago
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The daily briefing
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TLDRocket
28 July 2026
The defining story of the day is the fracturing of AI infrastructure: as frontier models demand ever-larger compute, the field is simultaneously racing to make AI work everywhere else. Liquid AI's new encoders—the 230M and 350M parameter LFM2.5 models—process 8,192 tokens on a CPU in 28 seconds, nearly 4× faster than larger competitors, making document classification and routing viable on existing hardware without GPU. Meanwhile, NVIDIA is doubling down on the opposite front: its Jetson platform now fits 67 trillion operations per second into a handbag, enabling robotics and edge AI without cloud dependency. These aren't contradictory trends; they're two halves of the same reality. Frontier labs like OpenAI and Recursive Superintelligence are committing half a billion dollars to single compute clusters, while the rest of the industry quietly optimizes models to run on laptops and embedded systems.
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