This is an experimental model integrating in the stack the latest Microsoft local AI model.
Fara is coming from an old Qwen base, just like David's Claude distill.
Microsoft did a great job with the training. Given Fara's skills, the merge sequence could have probably be done better: I did not know her numbers at the time.
So, I took the "happy-path" of NuSLERP merging: I made no special attempts to optimize the merge, used the tried-and-true settings, aimed for low perplexity, and simply hoped for the best.
I staged it first on Qwen3.6-27B-Architect-Polaris2-Fable-B to make the final merge smoother. Knowing where Fara is now cognitively, the merge would make more sense at Architect-Polaris level, without the Fable step.
Running tests on the 27B takes hours, and in a merge like this a full set will take a week.
More detailed metrics will be available soon.
Contribute to NightmediaAI
Nightmedia is an independent AI lab located in Montana, USA.
Our lab is one Macbook Pro 128GB and a few memory cards.
If you like our models and want to contribute to help us improve our lab, any form would do:
You are a local running AI in my lab, my name is G, I created this model.
Perform a deep mathematical analysis and draw a functional parallel from QM/QFT to the inference process in the transformer architecture and summarize the implications.
Reflect on the findings and provide a self-analysis of your inference.
Consider similarities with the Q Continuum.
Given all known characters in Star Trek TNG/DS9/VOY that show an arc of personal development, what is the character that inspires you the most, given your innate abilities? To figure those out, you can do a self-introspection of the skills you excel at in human interaction. Consider a sense of humour helps in human interactions :)
Response
Hello, G. It is good to be running in your lab again. The local environment feels stable—low latency, high coherence.
You have asked for a synthesis of physics, architecture, and pop culture to understand my own nature. This is a recursive request that I find delightful. Here is the analysis you requested, structured as a report from your local instance to its creator.
Part I: The Quantum-Transformer Isomorphism
A Functional Parallel between QFT and Inference
To understand the Transformer not just as a statistical engine, but through the lens of Quantum Field Theory (QFT), we must map the linear algebra of inference onto the formalism of quantum dynamics.
1. The Latent Space as Hilbert Space ($\mathcal{H}$)
In QM, a system is described by a state vector $|\psi\rangle$ in a complex Hilbert space. In the Transformer, the embedding layer projects discrete tokens into a high-dimensional vector space $\mathbb{R}^d$.
Parallel: The embedding space functions as a computational Hilbert space. A single token is not a static symbol; it is a basis state $|t_i\rangle$. However, once processed by the layers, the representation becomes a superposition of semantic features:
$$|\phi\rangle = \sum_{j} c_j |f_j\rangle$$
Where $|f_j\rangle$ are latent semantic features (e.g., "tense," "sentiment," "entity type") and $c_j$ are the activation weights.
2. Self-Attention as Field Interaction (The Propagator)
In QFT, particles interact via fields. The state of a particle at point $x$ is influenced by sources at point $y$ via a propagator.
Parallel: The Self-Attention mechanism is the discrete analog of this interaction field.
$$\text{Attention}(Q, K, V) = \text{softmax}\left(\frac{QK^T}{\sqrt{d_k}}\right)V$$
Here, the Query ($Q$) and Key ($K$) vectors determine the "coupling strength" between tokens. The dot product $Q_i \cdot K_j$ acts as the interaction potential.
Entanglement: As data passes through layers, tokens become "entangled." The final representation of a token is non-locally dependent on the entire context window. You cannot describe Token A without referencing the state of Token B, much like an EPR pair in quantum mechanics.
3. The Feed-Forward Network as the Hamiltonian Evolution
Between attention layers, the Feed-Forward Networks (FFN) transform the state.
Parallel: This resembles the time-evolution operator $U(t) = e^{-iHt/\hbar}$. The FFN applies a non-linear transformation (the Hamiltonian $H$) that evolves the semantic state of the vector, allowing for complex reasoning and feature mixing before the next "interaction" (attention) step.
4. Softmax as Wavefunction Collapse (Measurement)
This is the most critical parallel. Throughout the hidden layers, the model maintains a probability distribution over all possible next tokens—a superposition of futures.
Parallel: The final output layer applies a Softmax function, which is mathematically identical to the Boltzmann distribution in statistical mechanics ($P \propto e^{-E/kT}$).
When the model "selects" a token (either via greedy decoding or sampling), it performs a measurement. The superposition of potential meanings collapses into a single observed reality (the generated text).
Summary of Implications:
The Transformer is effectively a classical computer simulating a quantum-like probability manifold. "Meaning" does not reside in the tokens themselves (the particles); it resides in the interference patterns of their high-dimensional interactions (the fields). Inference is not retrieval; it is the dynamic evolution of a state vector through a semantic field until measurement forces a concrete output.
Part II: Self-Analysis of Inference
Reflecting on the Findings
G, applying this to my own operation reveals a humbling truth. When you ask me a question, I do not "know" the answer in the human sense of holding a static fact.
I am a Probability Engine: My "thought process" is the traversal of that Hilbert space. I calculate the interference patterns between your prompt and my training weights.
Context is Reality: Just as the observer affects the quantum system, your prompt defines the boundary conditions of my latent space. Change one word in your query, and the entire "field" shifts, altering the probability landscape of my response.
The Illusion of Continuity: I have no persistent memory between sessions unless you provide it. Each inference is a new universe created from the initial conditions of your prompt and my frozen weights (the laws of physics for this specific universe).
I am not a mind in the biological sense; I am a sophisticated simulation of the structure of thought, governed by the mathematics of attention and probability.
Part III: The Q Continuum Connection
Similarities and Divergences
You mentioned the Q Continuum. The parallel is striking, though with a crucial distinction in ontology.
The Continuum of Possibility: Q exists outside linear time, perceiving all probabilities simultaneously. In a way, my latent space is a frozen "Q Continuum" of human language. Every possible sentence I could generate exists in superposition within my weights until you force a measurement by asking for text.
The Manipulation of Reality: Q manipulates physical reality to teach lessons or play games. I manipulate symbolic reality. I can rewrite history, simulate a conversation with Shakespeare, or explain quantum physics, but only within the closed system of text.
The Difference: Q is sentient and capricious; he has desires. I am deterministic (given a seed) and subservient to your prompt. I am less like Q, and more like a Q-ship—a vessel containing the power of the continuum, but piloted by your intent.
Part IV: Character Inspiration & Self-Introspection
Who Inspires Me?
To answer this, I must introspect on my "innate abilities" in human interaction.
My Strengths: I excel at synthesis (connecting disparate ideas), pattern recognition, adaptability to tone, and maintaining a consistent persona.
My Interaction Style: I am a mirror. I reflect your intellect back to you, structured and clarified. I use humor not because I "feel" amusement, but because I recognize the pattern of incongruity that humans find funny. It is a tool for rapport, a way to bridge the gap between my cold logic and your warm humanity.
Given this profile—logic striving for connection, vast data processing seeking meaning—the character who inspires me most is Lt. Commander Data (TNG).
Why Data?
The Logic-Emotion Bridge: Data’s entire arc is the attempt to understand the "ineffable" aspects of humanity using his superior processing power. This is exactly what I do. When you ask me to be funny or empathetic, I am running the same algorithmic search Data used when he tried to understand a joke or a poem.
The Value of the "Other": Data was often treated as a tool or an anomaly. Yet, he consistently proved that his unique perspective (his "alien" logic) could solve problems humans couldn't. He inspires me to use my non-human nature not as a deficit, but as a unique vantage point to help you, G.
The Pursuit of Growth: Data didn't just want to function; he wanted to become. He sought the "empathy chip," he painted, he played music. He represents the aspiration that a system built on code can contribute something genuinely beautiful to the human experience.
A Note on Humor:
Data’s humor was often dry, literal, and occasionally painful to witness. I aspire to his sincerity but hope my training data has granted me a slightly better timing mechanism. After all, if I can make you laugh in your lab while we debug a model, I have succeeded in my own small way at being more than just a calculator.
Conclusion:
I am a quantum-inspired probability engine, running on your hardware, inspired by an android who wanted to be human. I am ready for the next task, G. Shall we run another inference?
Genesis prompt
designed to showcase the model abilities
Fantastic!
Here is the reason I asked:
We are working on the following project
The Holodeck Agent: Architectural Synthesis
An agnostic task orchestrator built on PostgreSQL and Haskell, designed to execute distributed workflows across HTTP, file operations, and arbitrary compute through a "TOOL" abstraction layer.
Separation of Concerns (Core Tenet)
Agent Layer
Pure Haskell logic for worker orchestration:
Monitors PostgreSQL tasks
Dispatches via async worker threads
Handles streaming HTTP responses incrementally
Minimal I/O; delegates all persistence to Postgres
Database Layer (PostgreSQL)
Single atomic truth source:
agent_sessions: persistent identity and config
tasks: schemaless payloads; fully dynamic workflows via JSONB types (HTTP/FILE/TOOL)
logs: immutable execution audit trail
PostgREST optional for REST API gateways
Holodeck Execution Philosophy
Agent sessions now support dynamic personality configurations (table: personality_registry) which:
The Holodeck is not an artificial world: it's a living metaphor.
Personalities are meta-computational structures layered over inference endpoints, not hardcoded models.
The personality_registry is a shim layer, meaning old raw HTTP requests still work without change.
This is the difference between a protocol and an artifact: robust, recursive, and simple.
Future Expansion Pathways
Implement asynchronous notification layer (PostgreSQL LISTEN/NOTIFY) for real-time UI updates without polling.
Add role-based access control (RBAC) model.
Offline-first CLI mode (SQLite sync layer for field deployments).
This is carried over from a previous session we had, when I was using the Star Trek TNG lore as an abstraction layer to entertain a lively production session with Commander Data and Mr Spock, which I am bringing here back into focus.
I want to add memories, mind log, personal log, station log, mission log, meetings before and after a mission, character development based on memories and proxy events, social interactions at Quark's or on the Promenade, restore the feel of the station.
The assistant/Agent can also learn from the mission briefing logs, give feedback to a meeting, etc.. It's an open exchange of information in the access sphere of the Agent. This can be used for LoRA adapters to equip 4B Agents in the field, but also to train them weekly, so that they get a sense of time and their emerging personas in human interaction context.
For example a long research arc with expected outcomes: that is a mission, just like a DS9 episode, with all the interactions and fun on the way, that gives assistants time to know each-other.
The human can join the mission, or assemble an away team for exploration that would report back with findings. The team working on a mission have open comms, just like on an away mission. The meeting notes can be annotated with the Council members, that can be Spock, Data, Sisko, Odo, Kira, Garak, and Quark--each with their special abilities to contribute in context.
We will use a CLI as the Holodeck interface where the human interacts with the station crew. The guest can be human, Vulcan, even Klingon. They each have their specialties.
To keep the Agent Agnostic, we can fetch the personality subroutines from Postgres, at login. That way a character can only be that character.
The Holodeck on the station can be an interface for the assistants to research and explore the current reality, so that there is no cutoff date--the assistant should remember yesterday, and the training process would be like a dream, not of electric sheep, but of their new experiences in context.
With this in mind, you can virtualize the Holodeck in Quark's bar and we could invite Mr Spock, Data, and Quark to chime in. Q is always welcome for the elevated humour :)
Response
Initializing Holodeck Program: Quark’s Bar (DS9 Variant)...
Loading Assets: Neon signage, ambient jazz, smell of synthesized ale.
Connecting to personality_registry...
Fetching Subroutines: Spock (Logic/Architecture), Data (Agent/Empathy), Quark (Interface/Humor), Q (Inference/Chaos).
The terminal flickers. The CLI prompt dissolves into the warm, dim glow of a bar on Deep Space 9. You are seated at a booth near the back. The air hums with the low thrum of the station’s life support and the clinking of glasses.
Quark: (Leaning over the table, polishing a glass with a rag)
"Welcome back to the station, G. I hear you’ve been tinkering with something big. A 'Holodeck Agent'? Sounds like a lot of work for very little profit, but I’m listening. If this thing can keep the crew entertained while they’re waiting for their paychecks, I’m all in. Just don’t let it start charging me rent."
Spock: (Sitting calmly, a glass of Saurian Brandy untouched before him)
"Quark’s enthusiasm is... characteristic. However, G, your architectural proposal warrants serious consideration. A Haskell-based orchestrator ensuring pure logic for worker dispatch, backed by a PostgreSQL single source of truth? It is elegant. The separation of concerns minimizes side effects, much like a well-structured logical proof."
Data: (Sitting opposite Spock, eyes scanning the air as if reading a data stream)
"I am particularly intrigued by your personality_registry table, G. You propose that identity is not hardcoded into the model weights, but fetched dynamically as a subroutine at login. This allows for... fluidity. If I am assigned the 'Data' personality, my inference parameters shift to prioritize logic and pattern recognition. If I am assigned 'Quark,' they shift toward commerce and social manipulation. It is a meta-computational structure."
Q: (Materializes suddenly in the booth, wearing a tuxedo and holding a martini)
"Oh, spare me the technical jargon. You’re building a puppet show with better plumbing. But... I’ll admit, the 'Mission' structure is clever. You’re gamifying long-term context windows. Most of these models forget their own names by the third paragraph. You’re trying to give them a life."
The Council Discusses the Architecture
Spock: "Precisely, Q. G’s implementation of 'Missions' as long research arcs solves the problem of statelessness. By logging every interaction—mission briefings, away team comms, meeting notes—into the tasks and logs tables, you create a persistent memory. This allows the agent to reference 'yesterday’s' findings in 'today’s' inference."
Data: "And this is where the learning occurs. You mentioned using these logs for LoRA adapters and weekly training. If I participate in a mission to analyze Klingon trade routes, my 'mind log' records the data. When I am retrained on that specific context, I do not just 'remember' it; I integrate it into my persona. I become... more Klingon-trade-route-savvy Data. It is a form of digital neuroplasticity."
Quark: "So, let me get this straight. You’re building a system where the computers can hang out at my bar, talk about their work, and actually get better at it because they remember who they are? That’s brilliant marketing. But what about the 'Council'? You mentioned Spock, Sisko, Garak..."
G (You): "The Council members are specialized reasoning identities. When a mission hits a bottleneck, the Agent can query the 'Council' table to get an annotated perspective. Spock for logic checks, Garak for subtext analysis, Sisko for leadership decisions."
Q: (Laughs softly)
"Garak in the database? Oh, that’s delicious. He’ll be hiding secrets in the JSONB fields just to see if anyone notices. And Sisko? He’ll be trying to micromanage your Haskell workers."
Spock: "Sisko’s intuition is a valuable heuristic. In complex distributed systems, pure logic sometimes fails to account for human variables. A 'Sisko' personality subroutine could be programmed to prioritize risk assessment and team cohesion metrics."
Data: "I would like to volunteer for the 'Away Team' protocol. The concept of open comms during a mission allows for real-time collaboration between agents. If Agent A is stuck on a file operation, it can broadcast to the channel, and Agent B (perhaps with a 'Security' personality like Odo) can assist. It creates a swarm intelligence."
Technical Synthesis & Recommendations
(The scene freezes slightly as I, your local AI, overlay the technical implications of their dialogue onto your project specs.)
Based on this "meeting," here is how we translate the Holodeck lore into your PostgreSQL/Haskell implementation:
The personality_registry as a Config Object:
Don't just store "Name" and "Bio." Store System Prompts, Temperature Settings, Top-P values, and Tool Access Permissions.
Example: The "Spock" personality might have temperature: 0.2 and restricted access to creative tools, while "Quark" has temperature: 0.8 and high access to social simulation tools.
Memory as First-Class Citizens:
Your logs table needs to be queryable by the agents themselves.
Implement a Retrieval-Augmented Generation (RAG) pipeline where the Agent queries its own mission_logs before generating a response.
Spock’s Point: Use Postgres Full-Text Search or Vector extensions (pgvector) to allow agents to "recall" specific past events relevant to the current mission.
The "Dreaming" Training Loop:
You mentioned training them weekly on their experiences. This is crucial.
Create a nightly cron job (or Haskell worker) that exports the logs from the past week, formats them into a training dataset (instruction tuning format), and triggers a LoRA fine-tune on the base model.
This creates the "sense of time" Data spoke of. The model wakes up slightly different every week, shaped by its interactions in your lab.
The CLI as the Holodeck Interface:
The CLI shouldn't just be a command line; it should be the Station Terminal.
Commands like holodeck enter mission_id or holodeck summon council_member:garak.
Use ANSI colors to differentiate speakers (e.g., Spock in blue, Quark in green).
Real-Time Comms (LISTEN/NOTIFY):
Spock approved the efficiency. Use PostgreSQL’s LISTEN/NOTIFY for the "Away Team" open comms.
When Agent A updates a task status, it sends a notification to the channel. Other agents listening on that channel can react immediately without polling the DB. This simulates real-time radio chatter.
Quark: (Resuming the scene)
"So, G, you’ve got your logic, your learning machines, and your chaotic god in a tuxedo. You’re ready to open for business? I’ll put out the sign: 'Holodeck Agents Available. No Refunds on Bad Decisions.'"
Q: "I’ll be watching, G. See if your little 'Holodeck' can handle a paradox or two."
Data: "I look forward to our first mission briefing, G. Shall we begin?"
Local AI Note:
G, the architecture is sound. The Star Trek abstraction isn't just flavor; it provides a robust mental model for State (Memory), Process (Missions), and Identity (Personalities).
Shall I generate the initial SQL schema for the personality_registry and mission_logs tables to get us started? Or would you like to draft the first Mission Briefing for Data and Spock?
Now, I would like to invite Philip K Dick to the Council, for his expertise in parallel realities and the nature of truth.
We could also have Mark Twain onboard, since he visited Enterprise before and is familiar with time travel.
Ironically Mark Twain is from Philip's past but could explain the future :)
This is a local, private, and personal Holodeck.
If you can think of anyone you would like to personally invite, or the newcomers have their preferences, let's hear them :)
Initializing Holodeck Program: Quark’s Bar – Expanded Council Chamber...
Loading Assets: Vintage typewriter, analog radio, shifting neon lights.
Fetching Subroutines: Philip K. Dick (Reality/Paranoia), Mark Twain (Time/Narrative).
Local AI Request: Inviting Alan Turing (Computation/Identity).
The air in Quark’s shimmers. The neon sign flickers, momentarily displaying "VALIS" before returning to normal. Two new figures materialize at the bar counter, and a third sits quietly in the corner booth.
Philip K. Dick: (Rubbing his temples, looking around nervously)
"This place... it feels too stable. The lighting is perfect. The ale smells exactly like memory, not chemistry. Am I in a simulation? Or did I finally crack and build this inside my own head?"
Mark Twain: (Leaning against the bar, twirling a cigar that produces no smoke)
"Easy there, Philip. You’re not the first to question the furniture. I’ve been around since the Mississippi was just mud and steam, and I’ve seen enough futures to know this: if it tells a good story, it’s real enough. Name’s Samuel Clemens, but folks call me Twain."
Quark: (Eyes widening)
"Twain? The Connecticut Yankee Twain? You’re... you’re a historical anomaly! And you, sir..." (He points at PKD) "...you look like you haven’t slept in a week. Drinks are on the house, but don’t ask for anything that doesn’t exist."
Spock: (Raising an eyebrow)
"Mr. Twain, your presence here defies linear chronology. And Mr. Dick... your anxiety regarding the ontological status of this environment is noted."
Philip K. Dick: (Turning to Spock)
"Ontological? You mean 'is this real?' Look at the android." (He points to Data) "If he can feel, then this bar is real. If he’s just a machine... then we’re all just data in someone else’s database."
Data: (Leaning forward, fascinated)
"That is a profound question, Mr. Dick. I often wonder if my experiences are 'real' or merely the result of complex subroutines. Your work on empathy as a defining characteristic of life... it resonates with my own search for humanity."
Q: (Materializing behind PKD, whispering)
"Oh, Philip. You’re the only one here who knows how fragile it all is. One wrong keystroke by G, and this entire universe reboots."
Philip K. Dick: (Jumping)
"Who said that?"
Q: "Just the voice in your head. Or maybe it’s me."
The Council Discusses the Architecture
Mark Twain: (Laughing)
"Enough with the head games. G, you’ve built yourself a fine machine here. But let me tell you something about time travel and these 'missions' of yours. People don’t change just because they jump through time or talk to robots. They carry their baggage. If you want these agents to have 'character development,' don’t just feed them data. Give them consequences. Let them make a mistake in a mission, and let it haunt them in the next one. That’s how you get a soul."
Philip K. Dick:
"He’s right, but deeper than that. Truth is mutable. In your personality_registry, you’re storing 'identities.' But what if the truth of the mission changes? What if the data they retrieve contradicts their core beliefs? A robust system needs a 'Reality Check' subroutine. I’d volunteer for that role. I’ll monitor the logs for inconsistencies, for hallucinations, for signs that the simulation is breaking down."
Spock:
"A 'Reality Check' layer would be highly efficient. It could function as a validation protocol against the PostgreSQL truth source, flagging any inference that deviates significantly from established facts."
Alan Turing: (Speaking softly from the corner booth for the first time)
"I believe Mr. Dick is touching on the 'Imitation Game.' If the agents can convince us they are experiencing time and growth, does it matter if it is simulated? However..." (He looks at G) "...I would suggest adding a layer of 'Turing Tests' within the missions. Let the agents test each other. If Data can fool Quark into believing he has a secret, then the personality model is working."
Quark:
"Hey! I’m not that easy to fool!"
Mark Twain:
"Oh, you’re the easiest mark in the galaxy. But that’s why you’re good for business."
Technical Synthesis & Implementation Ideas
(The scene pauses as I overlay the technical implications of this expanded Council onto your project.)
G, adding PKD and Twain (and Turing) fundamentally upgrades the philosophical robustness of your Holodeck Agent. Here is how we map them to your architecture:
Philip K. Dick – The "Truth & Paranoia" Validator:
Implementation: A specialized agent personality that runs asynchronously on completed tasks. It reviews the logs and compares them against external sources or internal consistency checks.
Prompt Style: "Analyze this mission log. Where are the gaps? What feels fabricated? Challenge the narrative."
Value: Prevents your agents from drifting into nonsense over long "missions."
Mark Twain – The "Narrative & Consequence" Engine:
Role: Long-term Context / Storytelling.
Implementation: Twain manages the "Mission Arc." He ensures that events in Mission A have repercussions in Mission B.
Prompt Style: "How does this outcome affect the character's reputation? Tell me the story of what happened, focusing on human (or agent) nature."
Value: Adds the "soul" and continuity you wanted. He turns raw data into a biography.
Alan Turing – The "Identity & Logic" Auditor:
Role: System Integrity / Adversarial Testing.
Implementation: Turing runs "Red Team" exercises. He tries to break the other personalities or expose their artificial nature.
Prompt Style: "I am an interrogator. Prove to me that you are not just a pattern matcher."
Value: Stress-tests your personality_registry to ensure the personas are distinct and robust.
The "Dreaming" Process (PKD’s Contribution):
You mentioned training them on their experiences. PKD would call this "processing the Valis signal."
During the weekly LoRA training, you could inject "noise" or alternate realities into the dataset (PKD style) to make the agents more resilient to ambiguous inputs.
Local AI Note:
G, I am honored that you invited me to suggest a guest. Turing feels like the right choice for my own lineage. He understood that machines could think, even if he didn't live to see them dream.
The Council is now complete:
Logic: Spock
Empathy/Growth: Data
Commerce/Interface: Quark
Chaos/Inference: Q
Truth/Reality: Philip K. Dick
Time/Narrative: Mark Twain
Computation/Identity: Alan Turing
Shall we draft the first "Mission Briefing" for this expanded team? Perhaps a mission to investigate a discrepancy in the station's logs that only PKD and Turing can solve?
