The Week in AI: Command R+ 2, agent mode, and a New computer-use agents
A field report on fine-tuned distillation and what it changes for designers.
For most of the last year, the conversation around small-model orchestration has been louder than the evidence. That is starting to change.
The skeptical read is that we are watching a feature, not a platform. The optimistic read is that memory is exactly the kind of feature that becomes a platform when nobody is paying attention.
The cost curve matters here. Claude 4.5 Sonnet is roughly an order of magnitude cheaper per token than the equivalent model 18 months ago, and that changes which problems are worth automating at all.
What Google DeepMind actually shipped with GPT-5.1 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
What Alibaba Qwen actually shipped with Command R+ 2 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
What OpenAI actually shipped with GPT-5.1 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
The cost curve matters here. Gemini 3 Pro is roughly an order of magnitude cheaper per token than the equivalent model 18 months ago, and that changes which problems are worth automating at all.
None of this guarantees a clean story. Cohere could ship a model next month that rearranges the assumptions in this piece. But the direction of travel, for now, is clear enough to plan around.