AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Contemporary Genomic Foundation Models (GFMs) rely on a DNA-as-a-string paradigm that employs masked token prediction objectives for pretraining. However, this abstraction does not explicitly model the biochemical, structural, and physical properties essential to biological function. Many molecular properties can be es...
A reference-aligned diploid encoding for single-nucleotide variants (SNVs) and short insertions and deletions (indels) and unphased and phase-retaining tokenizers that accept phased genotypes and convert them to single-sequence diploid representation are introduced.
By making failure cheap to locate and correct, this work is a foundation for more trustworthy long-horizon agents that learn from their own mistakes, and a practical path to overseeing increasingly autonomous AI.
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