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Assessing the translation of AI-prioritized genome-derived peptide fragments into validated antimicrobial candidates

The emergence of antibiotic-resistant pathogens such as Staphylococcus aureus demands accelerated antimicrobial discovery strategies. Artificial intelligence (AI) enables large-scale inference of candidate antimicrobial peptides (AMPs), yet experimental validation remains essential to determine whether predictions translate into biological function. Genome-guided mining, rather than unconstrained…

We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.

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What Actually Breaks When You Put AI Agents In Front Of Real Customers

I have spent the last year building AI automation systems for small businesses. Chatbots, multi agent workflows, the kind of stuff that looks great in a demo and then meets an actual customer who types "idk just fix it" and breaks everything. Most articles about AI agents talk about architecture.

  • Real users often provide contradictory, half-formed inputs that break AI agents.
  • Explicitly instructing the model to say "I don't know" when uncertain is crucial.
  • Maintenance is the most significant challenge due to frequent API and model changes.

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