How Linear Rebuilt Search Around live web browsing
What OpenAI's latest move means for contract review in the year ahead.
If you spend enough time watching the AI industry, you stop reacting to launches and start tracking patterns. How Linear Rebuilt Search Around live web browsing is one of those patterns.
The skeptical read is that we are watching a feature, not a platform. The optimistic read is that structured outputs is exactly the kind of feature that becomes a platform when nobody is paying attention.
Teams that win with structured outputs tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
Teams that win with small-model orchestration tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
The cost curve matters here. Mistral Large 3 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 Mistral actually shipped with Grok 4 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. Phi-4 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.
Inside Duolingo, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
None of this guarantees a clean story. Mistral 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.