Aussagen
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Called 2026 an explosive year for AI for Science thanks to sharply improved model capabilities.
«This year may be an explosive year for AI for Science.»
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Called for a return to fundamental research: architecture and learning paradigm, not apps, decide the next phase.
«What truly decides the next phase are two deeper things: model architecture and learning paradigm.»
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In a long post called domain-specific large models a false proposition; online learning the new scaling paradigm.
«Domain-specific large models are a false proposition.»