Anthropic Announces Claude 4.5 Sonnet, and the Frontier Moves Again
A field report on computer-use agents and what it changes for founders.
For most of the last year, the conversation around long-context workflows has been louder than the evidence. That is starting to change.
Databricks has been quietly running expense reporting through Codeium for months. The results are unglamorous and, for that reason, more interesting than another benchmark chart.
Eval harnesses, once an afterthought, are becoming the most important piece of code in many AI projects. Databricks's team treats theirs the way an SRE team treats a runbook.
What Meta FAIR 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 skeptical read is that we are watching a feature, not a platform. The optimistic read is that voice mode is exactly the kind of feature that becomes a platform when nobody is paying attention.
Teams that win with tool-first agents 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. xAI 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.