Intro:
I’m Peace Thabiwa — a concept builder.
I build ideas that work, not hypotheticals that sit in slides.
While everyone’s still stuck debating context windows and token limits, I’ve moved on to the next evolutionary step — time-labeled cognition.
Premise:
Current LLMs don’t understand when they’re thinking — only what they’re predicting.
ChronoLM introduces temporal labeling to every token, giving models a real sense of process, not just prediction.
🧠 Repo: ChronoLM/ (Core Structure)
ChronoLM/
├── data/
│ ├── raw/ # Original datasets
│ ├── labeled/ # Auto-labeled w/ BINFLOW phases
│ └── preprocess.py # Phase segmentation + cleaning
│
├── model/
│ ├── blocks/
│ │ ├── phase_gate.py # Temporal gate inside Transformer
│ │ └── attention_mod.py
│ ├── heads/
│ │ └── phase_predictor.py
│ ├── losses/
│ │ └── temporal_loss.py
│ └── chronolm.py # Full model assembly
│
├── training/
│ ├── config.yaml # Phase embedding size, alpha/beta/gamma
│ ├── train.py # Multi-loss optimization
│ └── evaluate.py # Phase adherence, coherence
│
├── inference/
│ ├── infer.py # Prompt + Phase scaffolds
│ └── demo.ipynb
│
├── api/
│ ├── server.py # REST gateway for ChronoLM inference
│ └── schema.json # Request/response w/ phase metadata
│
├── utils/
│ ├── logger.py
│ ├── metrics.py
│ └── visualization.py
│
└── README.md
README snippet:
ChronoLM
A time-labeled large language model that learns when to think, not just what to predict.
Powered by the BINFLOW temporal logic framework.
Phases
Focus → Stress → Loop → Pause → Transition → Emergence
Key Idea
Every token has a temporal embedding.
Every output has a phase signature.
Every conversation is a flow of time — not text.
🪶 Concept summary (for the post body)
ChronoLM is not a GPT competitor — it’s a dimensional shift.
It introduces Phase Intelligence — the ability to reason in cycles.
Where ChatGPT stops at completion, ChronoLM continues through reflection, iteration, and emergence.
⚡ CTA:
“Don’t prompt for answers. Prompt for evolution.”
— Peace Thabiwa
(Founder, SAGEWORKS_AI — Concept Builder of BINFLOW)
More...
I’m Peace Thabiwa — a concept builder.
I build ideas that work, not hypotheticals that sit in slides.
While everyone’s still stuck debating context windows and token limits, I’ve moved on to the next evolutionary step — time-labeled cognition.
Premise:
Current LLMs don’t understand when they’re thinking — only what they’re predicting.
ChronoLM introduces temporal labeling to every token, giving models a real sense of process, not just prediction.
🧠 Repo: ChronoLM/ (Core Structure)
ChronoLM/
├── data/
│ ├── raw/ # Original datasets
│ ├── labeled/ # Auto-labeled w/ BINFLOW phases
│ └── preprocess.py # Phase segmentation + cleaning
│
├── model/
│ ├── blocks/
│ │ ├── phase_gate.py # Temporal gate inside Transformer
│ │ └── attention_mod.py
│ ├── heads/
│ │ └── phase_predictor.py
│ ├── losses/
│ │ └── temporal_loss.py
│ └── chronolm.py # Full model assembly
│
├── training/
│ ├── config.yaml # Phase embedding size, alpha/beta/gamma
│ ├── train.py # Multi-loss optimization
│ └── evaluate.py # Phase adherence, coherence
│
├── inference/
│ ├── infer.py # Prompt + Phase scaffolds
│ └── demo.ipynb
│
├── api/
│ ├── server.py # REST gateway for ChronoLM inference
│ └── schema.json # Request/response w/ phase metadata
│
├── utils/
│ ├── logger.py
│ ├── metrics.py
│ └── visualization.py
│
└── README.md
README snippet:
ChronoLM
A time-labeled large language model that learns when to think, not just what to predict.
Powered by the BINFLOW temporal logic framework.
Phases
Focus → Stress → Loop → Pause → Transition → Emergence
Key Idea
Every token has a temporal embedding.
Every output has a phase signature.
Every conversation is a flow of time — not text.
🪶 Concept summary (for the post body)
ChronoLM is not a GPT competitor — it’s a dimensional shift.
It introduces Phase Intelligence — the ability to reason in cycles.
Where ChatGPT stops at completion, ChronoLM continues through reflection, iteration, and emergence.
⚡ CTA:
“Don’t prompt for answers. Prompt for evolution.”
— Peace Thabiwa
(Founder, SAGEWORKS_AI — Concept Builder of BINFLOW)
More...