European spinouts are hitting major milestones. Seventy-six in deep tech and life sciences have soared. They've reached billion-dollar valuations or passed $100 million in revenue. This growth marks a significant surge for the sector.
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Neural networks start by focusing on word order to understand sentences. After absorbing enough text, they suddenly shift to grasping word meanings instead. This rapid "phase transition" is like water turning to steam. Discovering this hidden switch helps explain how models like ChatGPT learn. It also points toward making them more efficient, reliable, and safe.
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A GitHub discussion and Hacker News thread are linked here. The topic didn't gain much traction. It only got 4 points on Hacker News and has zero comments. Seems like a quiet one.
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