Claude Opus 4.7 is the most capable model we've tested at Quantium. Evaluated against leading AI models through our proprietary benchmarking solution, the biggest gains showed up where they matter most: reasoning depth, structured problem-framing, and complex technical work.
在推理深度、结构化问题构建和复杂技术工作方面的显著提升，表明AI正在从简单任务处理向复杂问题解决转变，这种能力的提升将使AI在专业领域的应用价值大幅增加。
which leads to another framing insight, which is that the framing of climate change is a problem with a solution instead of framing it as a systemic interdependent web or what’s called a predicament.
for - climate crisis - climate communications - 3rd framing element - oversimplification of complexity to reductionist linear thinking - " the polluters are the problem, let's find a solution" - Joe Brewer
https://www.youtube.com/watch?v=Y07l5AsWEUs
I really love something about the phrase "get them [ideas] into a form that students can work with them". There's a nice idea of play and coming to an understanding that I get from it. More teachers should frame their work like this.
This is a widespread mistake among those who think that a sexy note-taking app like Roam will suddenly free their minds, or that they can train themselves into geniuses with enough spaced repetition, or that they can build a zettelkasten capable of thinking original thoughts for them.
Thinking that the tool will solve a particular problem without knowing what the tool does or how to use it properly will surely set one up for failure. You can use a screwdriver like a hammer, but your results won't be as good as using a hammer and using it properly.