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Eric PRO

Dorman11

AI & ML interests

Currently training Endeavor, a SLM model! Interests include: Agentic security, Machine Learning, Reinforcement Learning, PyTorch and all around web dev ninja! Level II Specialist working in Cyber Security field.

Recent Activity

liked a model 8 minutes ago

moonshotai/Kimi-K3

reacted to KlondikeDev's post with 🔥 12 minutes ago

Boris-2 coming soon! The Models: Boris-2-75M: Trained on 26B tokens -- estimated to start training on August 12th. Boris-2-125M: Trained on 90B tokens -- Estimated to start training on August 20th. Boris-2-250M: Trained on 60B tokens -- Estimated to start training on September 10th. Why does 125M get more tokens than 250M? Well, the straight answer is time. It saves time, while still allowing the 250M model to exceed the 125M model. Furthermore, we are attempting a unique architecture and layering scheme to hopefully end up around the strength of SmolLM2-135M. Fingers crossed! We hope to end up in the ballpark of https://huggingface.co/AxiomicLabs/GPT-X2.5-135M or https://huggingface.co/BananaMind/BananaMind-2-Pro-Preview Following this, we will release the Pro, Instruct and Pro-Instruct variants. More info will be coming soon!

reacted to dddyym's post with 🔥 13 minutes ago

Released mlquantx 0.2.6: a reproducible PyTorch workflow for cross-sectional multi-factor research. pip install --upgrade mlquantx mlquant demo The demo runs synthetic data → 213 factors → MLP → portfolio construction → cost-aware backtest. CI covers Python 3.9–3.11 with 96 tests. Dataset: https://huggingface.co/datasets/dddyym/ml-quant-trading-synthetic Checkpoint: https://huggingface.co/dddyym/ml-quant-trading-synthetic-mlp GitHub: https://github.com/initial-d/ml-quant-trading PyPI: https://pypi.org/project/mlquantx/ Research and teaching use only — not a live-trading system or a profitability claim.

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I've been thinking this for a long time, other than OpenMythos will we see similar type of open source models be released? The more and more top frontier models get good at finding zero day vulnerabilities and security weaknesses how will the open source model community respond. My take is we will see a open source model very soon be as good at finding security holes as the top models, at some point in the future. Is it just me or anyone seeing this?