Capital moves faster than guardrails.
Alnylam bets $2bn on biology-native AI to redesign RNAi discovery
Alnylam has signed a $2bn partnership with Inceptive — the startup founded by one of the architects of the transformer — to build foundation models aimed squarely at drug design rather than back-office efficiency. For health communications, the signal isn’t the chemistry; it’s that the upstream science your clients talk about is increasingly machine-shaped, and the story of how a molecule was discovered is about to get harder to tell both accurately and simply.
Agentic AI is stuck in pilot purgatory, Forrester finds
Three-quarters of enterprises say they’ve adopted agentic AI; Forrester’s data says almost none have it in production. That gap is the one most health communications directors already feel in their bones — the vendor demo that evaporates on contact with governance, permissions and real workflows. Useful cover the next time a client asks why the agent that dazzled in the pitch still isn’t drafting their submissions.
LLMs invent confident pharmacology for drugs that don’t exist
In a clinician-relevant study, models generated plausible clinical content for entirely fictitious drugs, prompted by nothing more than familiar prefixes and suffixes. For anyone producing AI-assisted medical or patient-facing copy, this is the failure mode worth losing sleep over: the model isn’t reasoning about the molecule, it’s pattern-matching the name — and it does so with complete confidence. Verification against source isn’t a nicety here; it’s the only thing between you and a fabricated mechanism of action.
Multi-agent AI “consensus” buries the facts it should surface
The fashionable fix for one unreliable model — put several in a room and let them agree — turns out to lose critical information in the deliberation rather than catch it. If your evidence synthesis or advisory-board workflows are drifting toward multi-agent review on the assumption that agreement equals accuracy, here is the counter-evidence: a confident shared answer can be the most dangerous output of all. Build the disagreement in deliberately, or you automate away the one signal worth having.
UK publishers can now opt out of Google’s AI summaries
A CMA ruling lets publishers block Google from ingesting their content into AI Overviews, and forces Google to cite sources with links. For medical publishers, journal owners and anyone whose clinical content has quietly been feeding AI answers, this is the first real lever to control how that material is used and attributed. Worth raising with any client who owns content and hasn’t yet thought about where it ends up.
That’s it for this edition. Back Wednesday.
— Ned
Follow the conversation: #IrreplaceablesHealth