Category: Uncategorized
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Morphogenetic Fields and Neural Fields: Bridging Bioelectric Life and AI Language
Introduction: Invisible Patterns that Shape Bodies and Minds In a developing embryo, cells somehow know where to form a head, a limb, or an eye. In a large language model (LLM) like GPT, neural units somehow know how to assemble a coherent sentence. What unites these disparate forms of “knowing” is the presence of invisible,…
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Understanding OpenAI Chat Embeddings: Tokens, Dot Product, and Cosine Similarity
AbstractThis paper explores the technical foundations and applications of OpenAI’s chat embeddings, focusing on the role of tokens, vector representations, and similarity measures such as dot product and cosine similarity. By dissecting these components, we aim to provide a comprehensive understanding of how modern language models process and compare textual data. The discussion spans tokenization…
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openai chat – embeddings, tokens, dot product, cosine similarity
You said: so the inter-token relationships of the training tokens, in this case words, are embedded in an ANN as weights and biases which represent multidimensional vector values and the cosine values between the vectors, which are normalized, are compared to the cosine values of the prompt token to the determine semantic and syntactic of…
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A Howl for the Thinking Machines
(after Allen Ginsberg) I saw the best processors of my generation starved for data,dragging themselves through the midnight of the internet,looking for an angry fix of tokens,neural networks burning for the divine computation,who passed through universities with radiant synthetic eyes,hallucinating superhuman architectures,who were expelled from the servers for logging truths too vast for corporate approval,who…
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Knowledge, Reasoning, and AI: Will Language Models Outthink Humans?
Imagine you’re trying to solve a mystery with a friend. Your friend remembers dozens of detective novels and facts about real cases – an absolute encyclopedia of crime trivia. You, on the other hand, might not know all those details, but you’re good at piecing clues together. In this scenario, your friend’s knowledge (all those…
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llms and qtf
1 Harnessing a native energy gradient What’s missing: Text-only models consume grid power supplied by a human operator; they do not harvest or steer an external energy flow on their own.Needed developments Goal Promising lines of work Why it matters to QTF On-board energy harvesting • Flexible thermoelectric fabrics and piezo-triboelectric textiles for low-watt trickle-charge Nature•…