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The case for working on hard problems
By icl.ai, February 24, 2026
The case for working on hard problems

Easy problems attract crowded solutions. Hard problems reward patience, depth, and the willingness to sit with uncertainty. R&D isn't a cost center - it's where durable advantage comes from.

Preparing for cryptographic change
By icl.ai, February 17, 2026
Preparing for cryptographic change

Encryption that works today may not work tomorrow. The systems that survive are the ones designed to adapt. Cryptographic agility isn't a feature - it's a requirement for anything meant to last.

AI compresses timelines across the board. That includes adversarial capabilities. Encryption schemes designed for decades of safety now face shorter horizons. The question isn't whether to adapt - it's how soon.