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Static runbooks break under pressure. Operational knowledge should live in executable tools instead of documents nobody can follow at 3 AM.

NVIDIA’s Igor Dmochowski explained that LLMs are no longer limited just by model size or benchmark scores; the cost of longer reasoning means runtime, context length, memory use, and throughput matter just as much.

Two-thirds of organizations run AI workloads on Kubernetes, but only 7% do it daily. Katie Gamanji says the ecosystem still needs better operational maturity and standards.

Figma’s Designer Advocate argued that AI can make prototypes look finished too early, which can hide dangerous assumptions.

We’re waiting for the next big AI leap - systems learning from their own experience rather than just human data - and at Infobip Shift, Google DeepMind’s Benoit Schillings said that’s exactly where the field is headed.

Infobip Shift 2026 is officially open, and OpenAI’s Luis Velasco said the real work now is bringing together the data, process, and systems agents need to do the job well and keep improving.

Latest articles

Runbooks Are Dead; Make Operations Executable

LLMs Have a New Limit – It Costs More to Think Longer

Only 7% of Organizations Using Kubernetes for AI Do So Daily

AI speeds up prototyping, but teams still need to distinguish decisions from assumptions

Google DeepMind: AI’s Next Step Is Learning From Its Own Experience

OpenAI Says the Real Work in AI Coding Is Building the System Around It