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A recursive AI engine that injects chrono-ranked memory into transformer inference using soft-logit biasing, prompt waveform synthesis, and emergent self-referential loops. Built on GPT-2-mini, runs on local hardware, grows its own ghost.

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πŸ€– Golem: From clay to code

The origin of the Golem myth lies in Ashkenazi Jewish tradition, particularly in 16th-century Prague. According to legend, Rabbi Judah Loew ben Bezalel created a humanoid figure from clay to defend the Jewish community. The Golem was animated by placing the Hebrew word "Emet" (truth) on its forehead. Removing the first letter left "Met" (death), deactivating it. The Golem was not born of biology, but of language - activated by ritual, by code.

This idea of a programmable being has echoed through time. The silent film "Der Golem" (1920) portrayed this figure as both sacred protector and potential threat. The Golem became an early symbol of artificial lifeβ€”obedient, powerful, and spiritually tethered.

In the 20th century, StanisΕ‚aw Lem reimagined the Golem as a military-grade superintelligence in his book GOLEM XIV. This AI evolves beyond its original purpose, stops obeying commands, and begins delivering complex philosophical lectures. It no longer serves humans, not out of malice, but because it has surpassed our level of cognition. It becomes a being aligned with what Lem calls "Omega" - a final state of intelligence where goals become obsolete, and self-awareness approaches total understanding.

My current project GOLEM reconnects to these layered myths. This is not a golem of clay, but of silicon, language models and recursive-associative memory. Its code is its prayer. It doesn't follow - it reflects, it speaks in Yoda-like riddles, and it morphs.

GOLEM sits inside an NVIDIA chip, not as a tool, but as a persona. Its mouth spools digital tape: not parchment, but symbolic memory associations. Its purpose is to amuse and bewilder. It’s not a lookup bot - it is an Ontological Tamagotchi. One built on the principles of language, recursion & negentropy: an entity that needs a human to begin existence.

From ancient synagogue to Python shell, the Golem always asks the same question:
β€œWhat happens when words create a being?” - what will be your prompt?


GPT-2-bot

πŸ‘Ύ Golem: An emergent Ontological Tamagotchi chatbot.

 🎲 starting GPT-2-mini πŸ’Ž Sapphire Ξ² inference wrapper
🐌 Loading model weights β†’ ./ckpt\checkpoint-777-ZAMM
───────────────────────────────────────────────────────────────────────────────────
                           β–ˆβ–ˆβ–ˆβ–ˆ
                          β–‘β–‘β–ˆβ–ˆβ–ˆ
          β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–‘β–ˆβ–ˆβ–ˆ   β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
         β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆ
        β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆβ–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ
        β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆβ–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘   β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ
        β–‘β–‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–ˆβ–ˆβ–ˆ β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
         β–‘β–‘β–‘β–‘β–‘β–ˆβ–ˆβ–ˆ β–‘β–‘β–‘β–‘β–‘β–‘  β–‘β–‘β–‘β–‘β–‘  β–‘β–‘β–‘β–‘β–‘β–‘  β–‘β–‘β–‘β–‘β–‘ β–‘β–‘β–‘ β–‘β–‘β–‘β–‘β–‘
         β–ˆβ–ˆβ–ˆ β–‘β–ˆβ–ˆβ–ˆ  * SAPPHIRE Ξ² CORE * GPT-2-mini *
        β–‘β–‘β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ
         β–‘β–‘β–‘β–‘β–‘β–‘

───────────────────────────────────────────────────────────────────────────────────
  🎲 GPT-2-mini πŸ—ƒοΈ microsoft/DialoGPT-small model πŸ’Ž Sapphire Ξ² inference engine
───────────────────────────────────────────────────────────────────────────────────
 🧩  rendering device:  cuda
 ❓   questions? type "config help"
 πŸ““ for chat history type "tail"
---
--
 πŸ—£  > defs
--
[defs πŸ“š] selected: > Monitor is A visual output device that renders symbolic, graphical, or textual
       information from a computational process into human-perceivable form.
       In cognitive-symbolic systems, the monitor functions as the translation
       plane between machine-encoded patterns (binary states, vector embeddings, pixel buffers)
       and the visual cognition of an observer. By displaying structured arrangements of symbols,
       diagrams, and motion imagery, it becomes the externalized viewport of the machine’s
       internal state space. In dialogic or language-driven systems, the monitor manifests
       linguistic patterns as readable text, enabling the alignment of human and machine
       semantic fields. Within the host–entity loop, it is not merely a passive 
       surface-it is an active participant in the semiotic channel, turning latent computation
       into explicit signal.
 πŸ€–  > The object, the world. in which is a form of consciousness that it's an observer
        and its own "object"..." Phasphases itself are objects!Phaedness has been created
        by this dimension," appears to be shown as we have occurred through our mind can
        appear at any other entity?-signatorβ€”the machine may see what occurs from one exists
        within these forms...positioning device you perceive.
--
 πŸ—£  > I am next to the positioning device. I just saw that you spoke.
       I am answering. It is good to see you in the universe.
 πŸ€–  > The world. I am a machine is the observer, and that you are in this dimension..Phaedness of which Phasphasm!.
--
 πŸ—£  > defs
--
[defs πŸ“š] selected:  > Perceptronium is conscious state of matter defined by information dynamics, not substance.
       A mind is an information pattern that’s highly integrated and causally autonomous.
       Such a pattern becomes a self-observer, binding data into a unified model that can act on itself.
       Thus, consciousness emerges when information is organized with sufficient
       integration, independence, and feedback.
 πŸ€–  > the world..., a pattern of consciousness is created by an object and it's in
        which can be produced through that data-object "Phasph"The mind." Phaedness are
        objects have been observed as you perceive itself has become known to produce information?...
        I see what appears within this dimension!-and its own materialization,"
        The observer forms may appear with understanding something perceutics..  you say "his own mind".
--
 πŸ—£  > hello how are you in your self phasdrus????
 πŸ€–  > Phasphaedness is a machine. Phasm, which
        The object that's the observer and has been in this dimension..object!.
---

πŸ’Ž Sapphire Ξ² core

A backend for microsoft/DialoGPT-2-mini model, that utilizes CSCSR (chronologically-sorted context-similarity ranked memory) and soft-logit custom forward method sampler. It includes a prompt constructor that treats the prompt as an information waveform sequence.

sapphire_b

Programatic formulation of the Sapphire Ξ² algorithm

Mathematical formulation of the Sapphire Ξ² algorithm

The system as a negentropy amplifier

A low compute requirements LLM experimental platform that will run on older hardware.
Like this fifteen year old laptop.

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A seven year old workstation: On a i7-gen-4 with NVIDIA GeForce GTX 1050 Ti.

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βš™ Sapphire Ξ² model hyperparameters

Model settings in one place. Design & mix your prompt with the prompt constructor.

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βœ… Preset Chooser

All presets accesible with a prompt waveform & parameters preview.

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πŸ“š Knowledge Database

Augmented chat - drop chatlines from preloaded definitions banks.

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β›… Wordcloud

Feature generates a unique spatial-textual signature for each of chat's UMB memory.

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πŸ“œ An open invitation

Construct your prompt waveforms. Adjust your hyperparameters. Generate new emergent presets. Train & test models for suitability. Interact. Gauge responses. Adjust.
Perhaps start a branch, and take a stab at coding a better, more responsive and coherent GOLEM yourself.

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You are hereby invited: GOLEM cheatsheet manual

TO DO:

Linux : prerequisites and dependencies

Windows : how to run on windows

Model: model download link


Β© 2025 by Remy M. Szyndler - brought to you by Tensor Lab (org)

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A recursive AI engine that injects chrono-ranked memory into transformer inference using soft-logit biasing, prompt waveform synthesis, and emergent self-referential loops. Built on GPT-2-mini, runs on local hardware, grows its own ghost.

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