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Blog: The Digital Traffic Jam
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Remove old blog file
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Update README with latest
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Blog: The Digital Traffic Jam - How We Gave Linux a 160-IQ Brain
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Remove old BLOG.md
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Blog: The Digital Traffic Jam - How We Gave Linux a 160-IQ Brain
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Updated blog: The Digital Traffic Jam - engaging storytelling + technical depth
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Add detailed project blog post
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Benchmark: benchmark_results.json
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Benchmark: benchmark_summary.png
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Benchmark: benchmark_action_distribution.png
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Benchmark: benchmark_rolling_reward.png
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Benchmark: benchmark_reward_distribution.png
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Benchmark: benchmark_cumulative_reward.png
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Add training plot: grpo_training.png
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Add training plot: strategist_warmstart_training.png
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Add training plot: world_model_training.png
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Add training plot: training_summary.png
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Fix: keep Colab defaults, install only trl+peft with --no-deps, handle all TRL versions
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Fix: let pip resolve all versions, uninstall old transformers, auto-restart if needed
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Fix: uninstall old transformers first, pin exact versions, restart runtime
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Fix: reinstall torchvision first, pin transformers 4.47-4.49, no runtime restart
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Fix: use Colab default torch, auto-detect TRL API, no version pins
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Fix: keep Colab default torch, only install sympy fix + training libs
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Fix: restart runtime after pip install to resolve sympy/torch conflict
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Fix: pin sympy + all deps to avoid Colab version conflicts
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Add training notebook (runnable on Colab/HF)
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Tokenizer
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Merged strategist (warm-start + GRPO)
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GPU training script for HF
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Training pipeline scripts
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LoRA adapter (warm-start SFT)
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initial commit
