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Shawn Graham: Do It Yourself Digital Golems. Experiments with various AI, neural networks, and other technologies for archaeology

The golem is a creature animated by the words in its head. Emerging from Jewish traditions, the words that did the animation had connections with divinity, but the golems themselves despite this spark of the divine toiled at mundane chores. But sometimes, the golems would get out of control, and become figures of terror. My none-too-subtle analogy is this: animated by the ‘words in their heads’, the anthropomorphized neural networks of contemporary ‘ai’ (and ‘agi’: artificial general intelligence) are similar figures, with similar connections to the divine (we are told: ‘agi’ will transcend us; ‘agi’ will bring about the singularity; ‘agi’ will make us all posthuman). In this talk, I will explore some of my experiments trying to teach these technologies ethically and critically. I will explore some of the ways I have been trying to raise my own digital golems for my mundane archaeological needs. This is a talk filled with failure and experimentation. But maybe, also, something useful.

„Shawn Graham: Do It Yourself Digital Golems. Experiments with various AI, neural networks, and other technologies for archaeology“ weiterlesen

Olga Mlynarczyk: Learning to think like the past. Applicability of retrieval augmented LLMs in historical research

With the advent of ChatGPT, the potential of Large Language Models (LLMs) to facilitate various academic, industrial and even everyday processes became evident to the general public. In its aftermath, publications proposing custom-made integrations of LLMs proliferated in wide range of disciplines far beyond the IT, from genetics and finance to the humanities. What they share in common is hope that LLMs can facilitate advances in their disciplines. But how does a historian turn the models to their advantage?

„Olga Mlynarczyk: Learning to think like the past. Applicability of retrieval augmented LLMs in historical research“ weiterlesen