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Stories by Lorenzo M. on Medium

Stories by Lorenzo M. on Medium

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Metamaterials and software engineering with arrowspace

Second and third harmonic generation in topological insulator-based van der Waals metamaterials - Light: Science & Applications This paper above is groundbreaking in the field of light/lasers amplification, allowing light to be amplified into harmonic fields of second and third order very efficiently up to frequencies of the spectrum that were supposed to be unreachable (6.4 to 9.6 TeraHertz).…

taumode: a new way of searching vector databases

Here it is people: test proving taumode 🍄🍄🍄 Since the publication of my latest paper I have received suggestions about testing my ideas on a real dataset. Here it is! A complete unroll of the CVE dataset from 1999 to 2025 to: ⚙️ build a fine-tuned embedder on domain-specific text 🧩 generate a taumode index for the embeddings ❔❔❔ query the index 🧮 check the quality of the results against…

Generate code from formal definitions: Rust and Vibecoding

Reflections on vibeconding from developing vibelang-rs, bmpp-agents-rs, and BMPP protocol implementation After spending the last few weeks deep in the trenches of protocol development for the Blindly Meaningful Prompting Protocol (BMPP) , I’ve discovered some nice observations have surfaced. While working on vibelang-rs , bmpp-agents-rs , and the formal grammar specifications for BMPP , I’ve…

excursus in truth theory

A MOST MINIMAL THEORY OF MEANING FOR MACHINE-CONSCIOUSNESS Do LLMs handle meaning in the sense defined by Logic and Theory of Meaning? If not, can they recognise truth? What is the assonance between a spatial positioning system like GPS and words embeddings? Do we, as system developers, minimise or increase semantics in the logic we program? Incipit This exploratory work has been inspired by the…

Hypothesis for a spatial-only representation

No acceleration, no before-after, and loose causality in the eye of a “static detector”. Intro If you had peeked at some of the previous posts, you would find that I sometimes try to take inspiration from biological analogies to provide insights about uncharted areas of thought (in the spirit of Cybernetics). These are all tentative applications of Intuition Pumps based on Relativism as introduced…

Hypothesis for machine consciousness

Hypotheses for machine consciousness a philosophical search for the discernible, started from reflections on programmatic interfaces in software and AI. The pieces at play If the reader is not familiar with Programmatic Interfaces (APIs in software jargon), previous articles are available . This current article treats the more general conceptualisation of interfaces in applications like physical…

Music — Machine Learning — with Rust

Develop a prototype music plugin in Rust, ML-powered with ` smartcore ` Hi, I am Lorenzo, core maintainer at smartcore and I make computer music as tunedlorenzo . Follow me on SoundCloud Youtube and Instagram . Introduction Rust is a modern programming language that has gained popularity in recent years due to its performance, safety, and expressive syntax. RustAudio is a collection of libraries…

A causal look into the factors of world happiness [3-Causal learning]

Automated causal graphs and control of a variable Hafnarhús, Reykjavik Contemporary Art Museum Continuation from the previous post here . This post is available as a Jupyter Notebook below and as a Github Gist or in Kaggle : https://medium.com/media/4d20b40c1d0c22ac2a1efbd7feac3c87/href

A causal look into the factors of world happiness [2-Causal Inference]

How to find association in variables Hafnarhús, Reykjavik Contemporary Art Museum Continuation from the previous post here . This post is available as a Jupyter Notebook below and as a Github Gist or in Kaggle : https://medium.com/media/138c47a6c0f646ad64247ec78facf6f4/href To get in touch you can contact me here , or at https://pramantha.net A causal look into the factors of world happiness…

A causal look into the factors of world happiness [1-Graphical modeling]

Hafnarhús, Reykjavik Contemporary Art Museum Continuation from the previous post here . intro In this part we try to fly over the basic concepts of Causal Inference leveraging Causal Graphs modeling . We start from common-sense assumptions in the form of graphs and we try to fit the dataset to these representation. The main concepts we are going to tackle are: root nodes and conditional nodes…