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Hot Research Topics in AI and ML in 2026 and Their Philosophical Connections
This post explores some of the most exciting research directions in AI, such as autoresearch, neural computers, AI safety, or mechanistic interpretability and how philosophy can offer fresh perspectives.
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Run LLMs on an External NVIDIA GPU (Step-by-Step Guide)
Tutorial on how to rent an external NVIDIA GPU to run experiments with open-source models
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Multimodal Reasoning to Solve the ARC-AGI Challenge
Ameliorating strategies for ARC-AGI with multimodal reasoning
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Research Directions in Multimodal Chain-of-Thought (MCoT) with Sketching
This text explores adding sketching to Multimodal Chain-of-Thought (MCoT) reasoning to enhance AI capabilities
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Tracing Early Texts. A Linguistic and Historical Inquiry into Textuality
Identifying a 3100 BC Mesopotamian contract as an early instance of textuality
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How SoftBank’s Pepper set a positive example for gender design in robotics
This text explores the assignment of gender to humanoids
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Explaining BERT-based hate speech detection with LIME and Saliency using Captum
Tutorial with full code
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How to use a Convolutional Neural Network (CNN) for text classification (sentiment analysis) with PyTorch
Tutorial with full code
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AI ethics, a primer
Introduction to AI ethics that’s less than 1000 words long
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Using LLMs in Syntactic Research
Unpublished paper exploring how to use LLMs for empirical studies of syntax
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Was ist Argument Mining?
Eine Einführung zum Forschungsfeld des Argument Minings
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Questioning Recursion as a Distinctive Feature of Human Language
Putting human language into perspective with animal linguistics
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A deep dive into Transformer models like GPT and BERT (English version)
From neural networks to GPT and BERT, a contextualized explanation of the Transformer architecture
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Transformer-Modelle wie GPT und BERT im Detail (German version)
Vom neuronalen Netz bis zu GPT und BERT, eine kontextualisierte Erklärung der Transformer-Architektur