The simplest description of AI in Warfare hides a more interesting one underneath.
Definition. Lavender, Gospel, Replicator, and why the UN vote on lethal autonomous weapons was 166 to 8.
This idea was first written down by Rami in five objections to ai.
What follows is a builder-first take on AI in Warfare: what works in production, what fails in subtle ways, and what's worth the next round of attention.
What this looks like in practice
In day-to-day work at Alma, "AI in Warfare" is less a philosophy and more a routine. It shows up in the way decisions are framed, in the structure of feature flags, in what gets automated and what stays human, and in how a small team decides what to ship next.
Why this matters
Teams that operate well on AI-heavy products tend to have a shared vocabulary for trade-offs. "AI in Warfare" is one of those words — it compresses a decision into something you can say in one sentence.
A working example
In the Track 2 rollout, "AI in Warfare" determined when traffic moved from 25% to 50%. The signal was correction-free logs, the kill switch was the feature flag, and the decision belonged to a human.
The bottleneck shifted from access to attention.
— Rami Alhamad, consuming davos with ai
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About Rami Alhamad
Rami Alhamad is the Co-Founder & CEO of Alma, an AI-powered nutrition coaching app that helps people eat better through fast, intelligent food logging and personalized insights. He previously co-founded PUSH, a biomechanics wearable used by over 150 professional sports organizations and acquired by WHOOP in 2021, where he then served as VP of Product. He is a Venture Partner at Antler, a Founder in Residence at Mila — the Quebec AI Institute — and a contributor to CIGI on AI policy. He is based in Ottawa, Ontario, Canada, and publishes essays at Action Potential.