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A clearer view of artificial intelligence.

NVIDIA, Rebellions and SK Telecom plan a shared GPU–NPU system for Korea

The partners plan to split AI inference between NVIDIA GPUs and Rebellions processors, with R200 systems expected to be ready for deployment in 2028.

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The latest thinking

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A practical first evaluation for an AI agent

Before connecting an agent to live work, test the outcome, the boundaries, and the recovery path. This starter method turns a broad product promise into a small set of inspectable trials.

What activation probes add to AI safety

Activation probes inspect internal model signals while a response is generated. The technique offers another point of intervention, but it also creates questions about coverage, model changes, and operational ownership.

Give long-running agents a context budget

Large context windows do not remove the need to manage information. Separate relevance, latency, and spending, then decide what an agent should retain, summarize, retrieve, or leave behind during a task.

A wider perspective

Mistral Large 4 makes deployment a strategic choice

Mistral’s latest open-weight release gives teams another way to control inference. Choosing it requires a closer look at infrastructure, licensing, and workload-specific evaluation than a benchmark headline can provide.

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