This is GLM 5.2 creating and describing *images*
How, since the model is text-only?
With Amp's specialized subagents.
Multi-modal agentic workflows at the pareto frontier of intelligence, speed, and cost.
GLM 5.2 in Amp. Zero data retention, US and West-based inference. It's a good model.
Try it now:
amp update
amp plugins add --auto-update @amp/glm-52-mode
amp --mode glm-5.2
Understanding the code is now a key bottleneck in agentic coding.
Amp now shows you the diff for any thread and lets you stage and provide feedback on changes.
Just shipped some "how did we not have these yet"s in Amp:
• Customizable keybindings (see `amp config keymap` and ampcode.com/manual#cli-key…)
• Mode switcher that tells you about each mode (Ctrl+S in the Amp CLI to use it)
Watch me use these in Amp to fix a bug:
Amp's deep & rush modes (GPT-5.5) now finish your work up to 40% faster.
We rebuilt Amp last month to make this possible, cutting hops between you⭤GPU and running agent loops in durable execution to get the max benefit from long-lived OpenAI websockets.
ampcode.com/news/faster-de…
I love when technological progress kills a feature.
The models are so good that (A) this feature is too risky and (B) it's not needed anymore to convince people that agents are good.
ampcode.com/news/end-of-pu…
Amp Labs: small teams of the best software builders, working inside the most frontier-oriented company per industry and region.
ampcode.com/news/amp-labs
We're still seeing and fixing bugs and instability in the Amp Neo CLI. If you're in the Neo beta, run `amp --take-me-back` to use the non-beta Amp CLI that is unaffected by these issues. (Or keep using Neo if you want. I am.)
I'm really sorry for these issues. We hit some unexpected scaling issues on this new architecture, and that's on us. We're working around the clock to get it stable and then open it up to more people. And huge thank you to everyone who's giving feedback and sending reports!
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