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The author proposes two architectures, Internal KV-Sphere Architecture (IKSA) and Background Micro Fine-Tuning (BMFT), for enabling LLMs to learn continually from personal interactions without GPU requirements and without catastrophic forgetting.
This position paper argues that agentic AI systems—incorporating memory, reasoning, tool use, self-improvement, and alignment—are a more foreseeable route to AGI than simply scaling monolithic models, and it formalizes these components as separable axes with distinct bottlenecks.
This position paper argues that interpretability research should be evaluated based on actionability—the extent to which insights enable concrete decisions and interventions. The authors propose a framework with evaluation criteria aligned with practical outcomes to address the lack of real-world impact in current interpretability work.
Bert Hubert deelt zijn position paper voor het rondetafeloverleg in de Tweede Kamer over de overname van Solvinity en de gevolgen voor DigiD, waarin hij waarschuwt voor operationele afhankelijkheden van de overheid van private IT-bedrijven.