Alexander Whedon(@alex_whedon):Great conversation with @craigss at @EyeOn_AI about how the industry spends too much time talking about compute and data-centers, when we should be talking about more creative, more efficient ways to scale AI. We cover: - The hidden cost-multiplier within every model in production today. - How the scaling laws of transformer-based models have become the biggest bottleneck in AI. - How our team at Subquadratic solved the problem with a new model architecture that is 128x more efficient than frontier models at 2M tokens without compromising on performance. Thanks to Craig and the Eye on AI team for the thoughtful conversation. Check out the full episode below.

2026.09.08 15:18

Great conversation with @craigss at @EyeOn_AI about how the industry spends too much time talking about compute and data-centers, when we should be talking about more creative, more efficient ways to scale AI. We cover: - The hidden cost-multiplier within every model in production today. - How the scaling laws of transformer-based models have become the biggest bottleneck in AI. - How our team at Subquadratic solved the problem with a new model architecture that is 128x more efficient than frontier models at 2M tokens without compromising on performance. Thanks to Craig and the Eye on AI team for the thoughtful conversation. Check out the full episode below.

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