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Researchers at ETH Zurich have developed a new kind of pixel that can both emit and analyze light simultaneously. That dual capability could reshape how screens interact with the world around them, opening doors to displays that sense touch, ambient light, or even biometric data without added hardware layers.
Shifting to the crypto space, Ripple CEO Brad Garlinghouse is taking aim at Michael Saylor's Strategy, calling its preferred-stock funding model quote financial engineering unquote. Garlinghouse pointed to Strategy's STRC shares sliding to a record low as evidence the approach has damaged broader market confidence in digital assets, even as he remains personally bullish on bitcoin.
And on the quieter side of AI development, a developer has released a fine-tuned language model trained specifically on Advaita Vedanta philosophical texts, calling it Turiya. It's a small but interesting example of how open-source tooling now lets individuals build highly specialized models around niche intellectual traditions, not just commercial use cases. The question of what these models actually understand, versus what they pattern-match, feels especially pointed here.
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