Inside the New Wave of Glean Built for researchers
Inside the quiet rewiring of incident response at Duolingo.
If you spend enough time watching the AI industry, you stop reacting to launches and start tracking patterns. Inside the New Wave of Glean Built for researchers is one of those patterns.
The cost curve matters here. Llama 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.
What xAI actually shipped with Llama 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 skeptical read is that we are watching a feature, not a platform. The optimistic read is that live web browsing is exactly the kind of feature that becomes a platform when nobody is paying attention.
What Anthropic actually shipped with Qwen 3 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.
Inside HubSpot, the rollout looked less like a moonshot and more like a slow migration. A pilot, a champion, a quiet expansion, a budget line.
Teams that win with evals-first development tend to share a habit: they write the evals before they write the prompts. Everything else follows from that.
None of this guarantees a clean story. Alibaba Qwen 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.