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6 changes: 5 additions & 1 deletion README.md
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Expand Up @@ -704,7 +704,11 @@ until we can repeat the same commands on a physical PC.
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## ► Technical Innovations

Our implementation includes several innovative techniques that would have been considered groundbreaking optimizations in the 486 era. For complete technical details, see the [core innovations section](gpt2_basic_documentation.md#4-core-innovations) in our technical documentation:
The implementation combines several constrained-system techniques: fixed-point
weights, compact tokenizer files, optional compressed tensor artifacts, KV decode
caching, head shortlists, streaming fallbacks, and local recall indexes. For
complete technical details, see the [core innovations section](gpt2_basic_documentation.md#4-core-innovations)
in the technical documentation:

### ■ Current Fixed-Point Weight Format

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3 changes: 2 additions & 1 deletion docs/marketing/video-plan.md
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Expand Up @@ -19,7 +19,8 @@ Target length: 4 to 6 minutes.
- Suggested caption: `Real fixed-point inference in DOS`.

2. Project thesis, 30 seconds
- Explain the alternate-history question.
- Explain the constrained-system thesis: local weights, local execution,
local recall, no network service.
- Show README title and source tree.
- Make the honest scale claim: tiny GPT-style model, not modern LLM scale.

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